mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
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refactor(team-planex): redesign skill with inverted control and beat model
- Delete executor agent (main flow IS the executor now) - Rewrite SKILL.md: delegated planning + inline execution - Input accepts issues.jsonl / roadmap session from roadmap-with-file - Single reusable planner agent via send_input (Pattern 2.3) - Interleaved plan-execute loop with eager delegation - Follow codex v3 conventions (decision tables, placeholders) - Remove complexity assessment and dynamic splitting
This commit is contained in:
catlog22
@@ -1,261 +1,503 @@
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---
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name: team-planex
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description: |
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Inline planning + delegated execution pipeline. Main flow does planning directly,
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spawns Codex executor per issue immediately. All execution via Codex CLI only.
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Plan-and-execute pipeline with inverted control. Accepts issues.jsonl or roadmap
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session from roadmap-with-file. Delegates planning to issue-plan-agent (background),
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executes inline (main flow). Interleaved plan-execute loop.
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---
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# Team PlanEx (Codex)
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# Team PlanEx
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主流程内联规划 + 委托执行。SKILL.md 自身完成规划（不再 spawn planner agent），每完成一个 issue 的 solution 后立即 spawn executor agent 并行实现，无需等待所有规划完成。
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接收 `issues.jsonl` 或 roadmap session 作为输入，委托规划 + 内联执行。Spawn issue-plan-agent 后台规划下一个 issue，主流程内联执行当前已规划的 issue。交替循环：规划 → 执行 → 规划下一个 → 执行 → 直到所有 issue 完成。
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## Architecture
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```
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┌────────────────────────────────────────┐
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│ SKILL.md (主流程 = 规划 + 节拍控制) │
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│ │
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│ Phase 1: 解析输入 + 初始化 session │
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│ Phase 2: 逐 issue 规划循环 (内联) │
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│ ├── issue-plan → 写 solution artifact │
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│ ├── spawn executor agent ────────────┼──> [executor] 实现
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│ └── continue (不等 executor) │
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│ Phase 3: 等待所有 executors │
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│ Phase 4: 汇总报告 │
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└────────────────────────────────────────┘
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┌────────────────────────────────────────────────────┐
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│ SKILL.md (主流程 = 内联执行 + 循环控制) │
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│ │
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│ Phase 1: 加载 issues.jsonl / roadmap session │
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│ Phase 2: 规划-执行交替循环 │
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│ ├── 取下一个未规划 issue → spawn planner (bg) │
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│ ├── 取下一个已规划 issue → 内联执行 │
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│ │ ├── 内联实现 (Read/Edit/Write/Bash) │
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│ │ ├── 验证测试 + 自修复 (max 3 retries) │
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│ │ └── git commit │
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│ └── 循环直到所有 issue 规划+执行完毕 │
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│ Phase 3: 汇总报告 │
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└────────────────────────────────────────────────────┘
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Planner (single reusable agent, background):
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issue-plan-agent spawn once → send_input per issue → write solution JSON → write .ready marker
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```
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## Beat Model (Interleaved Plan-Execute Loop)
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```
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Interleaved Loop (Phase 2, single planner reused via send_input):
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═══════════════════════════════════════════════════════════════
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Beat 1 Beat 2 Beat 3
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| | |
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spawn+plan(A) send_input(C) (drain)
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↓ ↓ ↓
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poll → A.ready poll → B.ready poll → C.ready
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↓ ↓ ↓
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exec(A) exec(B) exec(C)
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↓ ↓ ↓
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send_input(B) send_input(done) done
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(eager delegate) (all delegated)
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═══════════════════════════════════════════════════════════════
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Planner timeline (never idle between issues):
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─────────────────────────────────────────────────────────────
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Planner: ├─plan(A)─┤├─plan(B)─┤├─plan(C)─┤ done
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Main: 2a(spawn) ├─exec(A)──┤├─exec(B)──┤├─exec(C)──┤
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^2f→send(B) ^2f→send(C)
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─────────────────────────────────────────────────────────────
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Single Beat Detail:
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───────────────────────────────────────────────────────────────
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1. Delegate next 2. Poll ready 3. Execute 4. Verify + commit
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(2a or 2f eager) solutions inline + eager delegate
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| | | |
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send_input(bg) Glob(*.ready) Read/Edit/Write test → commit
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│ → send_input(next)
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wait if none ready
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───────────────────────────────────────────────────────────────
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```
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---
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## Agent Registry
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| Agent | Role File | Responsibility |
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|-------|-----------|----------------|
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| `executor` | `~/.codex/agents/planex-executor.md` | Codex CLI implementation per issue |
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| Agent | Role File | Responsibility | Pattern |
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|-------|-----------|----------------|---------|
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| `issue-plan-agent` | `~/.codex/agents/issue-plan-agent.md` | Explore codebase + generate solutions, single instance reused via send_input | 2.3 Deep Interaction |
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> Executor agent must be deployed to `~/.codex/agents/` before use.
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> Source: `.codex/skills/team-planex/agents/`
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> **COMPACT PROTECTION**: Agent files are execution documents. When context compression occurs and agent instructions are reduced to summaries, **you MUST immediately `Read` the corresponding agent.md to reload before continuing execution**.
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---
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## Input Parsing
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## Subagent API Reference
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Supported input types (parse from `$ARGUMENTS`):
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| Type | Detection | Handler |
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|------|-----------|---------|
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| Issue IDs | `ISS-\d{8}-\d{6}` regex | Use directly for planning |
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| Text | `--text '...'` flag | Create issue(s) first via CLI |
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| Plan file | `--plan <path>` flag | Read file, parse phases, batch create issues |
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### Issue Creation (when needed)
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For `--text` input:
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```bash
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ccw issue create --data '{"title":"<title>","description":"<description>"}' --json
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```
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For `--plan` input:
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- Match `## Phase N: Title`, `## Step N: Title`, or `### N. Title`
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- Each match → one issue (title + description from section content)
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- Fallback: no structure found → entire file as single issue
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---
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## Session Setup
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Before processing issues, initialize session directory:
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### spawn_agent
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```javascript
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const slug = toSlug(inputDescription).slice(0, 20)
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const date = new Date().toISOString().slice(0, 10).replace(/-/g, '')
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const sessionDir = `.workflow/.team/PEX-${slug}-${date}`
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const artifactsDir = `${sessionDir}/artifacts/solutions`
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Bash(`mkdir -p "${artifactsDir}"`)
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Write({
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file_path: `${sessionDir}/team-session.json`,
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content: JSON.stringify({
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session_id: `PEX-${slug}-${date}`,
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input_type: inputType,
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input: rawInput,
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status: "running",
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started_at: new Date().toISOString(),
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executors: []
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}, null, 2)
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})
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```
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---
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## Phase 1: Parse Input + Initialize
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1. Parse `$ARGUMENTS` to determine input type
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2. Create issues if needed (--text / --plan)
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3. Collect all issue IDs
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4. Initialize session directory
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---
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## Phase 2: Inline Planning Loop
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For each issue, execute planning inline (no planner agent):
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### 2a. Generate Solution via issue-plan-agent
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```javascript
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const planAgent = spawn_agent({
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const agentId = spawn_agent({
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message: `
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## TASK ASSIGNMENT
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### MANDATORY FIRST STEPS (Agent Execute)
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1. **Read role definition**: ~/.codex/agents/issue-plan-agent.md (MUST read first)
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2. Read: .workflow/project-tech.json
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3. Read: .workflow/project-guidelines.json
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---
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issue_ids: ["${issueId}"]
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project_root: "${projectRoot}"
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## Requirements
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- Generate solution for this issue
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- Auto-bind single solution
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- Output solution JSON when complete
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${taskContext}
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`
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})
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const result = wait({ ids: [planAgent], timeout_ms: 600000 })
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close_agent({ id: planAgent })
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```
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### 2b. Write Solution Artifact
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### wait
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```javascript
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const solution = parseSolution(result)
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Write({
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file_path: `${artifactsDir}/${issueId}.json`,
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content: JSON.stringify({
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session_id: sessionId,
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issue_id: issueId,
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solution: solution,
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planned_at: new Date().toISOString()
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}, null, 2)
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const result = wait({
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ids: [agentId],
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timeout_ms: 600000 // 10 minutes
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})
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```
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### 2c. Spawn Executor Immediately
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### send_input
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Continue interaction with active agent (reuse for next issue).
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```javascript
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const executorId = spawn_agent({
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send_input({
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id: agentId,
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message: `
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## NEXT ISSUE
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issue_ids: ["<nextIssueId>"]
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## Output Requirements
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1. Generate solution for this issue
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2. Write solution JSON to: <artifactsDir>/<nextIssueId>.json
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3. Write ready marker to: <artifactsDir>/<nextIssueId>.ready
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`
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})
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```
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### close_agent
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```javascript
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close_agent({ id: agentId })
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```
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---
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## Input
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Accepts output from `roadmap-with-file` or direct `issues.jsonl` path.
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Supported input forms (parse from `$ARGUMENTS`):
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| Form | Detection | Example |
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|------|-----------|---------|
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| Roadmap session | `RMAP-` prefix or `--session` flag | `team-planex --session RMAP-auth-20260301` |
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| Issues JSONL path | `.jsonl` extension | `team-planex .workflow/issues/issues.jsonl` |
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| Issue IDs | `ISS-\d{8}-\d{3,6}` regex | `team-planex ISS-20260301-001 ISS-20260301-002` |
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### Input Resolution
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| Input Form | Resolution |
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|------------|------------|
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| `--session RMAP-*` | Read `.workflow/.roadmap/<sessionId>/roadmap.md` → extract issue IDs from Roadmap table → load issue data from `.workflow/issues/issues.jsonl` |
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| `.jsonl` path | Read file → parse each line as JSON → collect all issues |
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| Issue IDs | Use directly → fetch details via `ccw issue status <id> --json` |
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### Issue Record Fields Used
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| Field | Usage |
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|-------|-------|
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| `id` | Issue identifier for planning and execution |
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| `title` | Commit message and reporting |
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| `status` | Skip if already `completed` |
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| `tags` | Wave ordering: `wave-1` before `wave-2` |
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| `extended_context.notes.depends_on_issues` | Execution ordering |
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### Wave Ordering
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Issues are sorted by wave tag for execution order:
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| Priority | Rule |
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|----------|------|
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| 1 | Lower wave number first (`wave-1` before `wave-2`) |
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| 2 | Within same wave: issues without `depends_on_issues` first |
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| 3 | Within same wave + no deps: original order from JSONL |
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---
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## Session Setup
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Initialize session directory before processing:
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| Item | Value |
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|------|-------|
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| Slug | `toSlug(<first issue title>)` truncated to 20 chars |
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| Date | `YYYYMMDD` format |
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| Session dir | `.workflow/.team/PEX-<slug>-<date>` |
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| Solutions dir | `<sessionDir>/artifacts/solutions` |
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Create directories:
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```bash
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mkdir -p "<sessionDir>/artifacts/solutions"
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```
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Write `<sessionDir>/team-session.json`:
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| Field | Value |
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|-------|-------|
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| `session_id` | `PEX-<slug>-<date>` |
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| `input_type` | `roadmap` / `jsonl` / `issue_ids` |
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| `source_session` | Roadmap session ID (if applicable) |
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| `issue_ids` | Array of all issue IDs to process (wave-sorted) |
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| `status` | `"running"` |
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| `started_at` | ISO timestamp |
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---
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## Phase 1: Load Issues + Initialize
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1. Parse `$ARGUMENTS` to determine input form
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2. Resolve issues (see Input Resolution table)
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3. Filter out issues with `status: completed`
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4. Sort by wave ordering
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5. Collect into `<issueQueue>` (ordered list of issue IDs to process)
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6. Initialize session directory and `team-session.json`
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7. Set `<plannedSet>` = {} , `<executedSet>` = {} , `<plannerAgent>` = null (single reusable planner)
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---
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## Phase 2: Plan-Execute Loop
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Interleaved loop that keeps planner agent busy at all times. Each beat: (1) delegate next issue to planner if idle, (2) poll for ready solutions, (3) execute inline, (4) after execution completes, immediately delegate next issue to planner before polling again.
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### Loop Entry
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Set `<queueIndex>` = 0 (pointer into `<issueQueue>`).
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### 2a. Delegate Next Issue to Planner
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Single planner agent is spawned once and reused via `send_input` for subsequent issues.
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| Condition | Action |
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|-----------|--------|
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| `<plannerAgent>` is null AND `<queueIndex>` < `<issueQueue>.length` | Spawn planner (first issue), advance `<queueIndex>` |
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| `<plannerAgent>` exists, idle AND `<queueIndex>` < `<issueQueue>.length` | `send_input` next issue, advance `<queueIndex>` |
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| `<plannerAgent>` is busy | Skip (wait for current planning to finish) |
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| `<queueIndex>` >= `<issueQueue>.length` | No more issues to plan |
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**First issue — spawn planner**:
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```javascript
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const plannerAgent = spawn_agent({
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message: `
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## TASK ASSIGNMENT
|
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### MANDATORY FIRST STEPS (Agent Execute)
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1. **Read role definition**: ~/.codex/agents/planex-executor.md (MUST read first)
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1. **Read role definition**: ~/.codex/agents/issue-plan-agent.md (MUST read first)
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2. Read: .workflow/project-tech.json
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3. Read: .workflow/project-guidelines.json
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---
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## Issue
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Issue ID: ${issueId}
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Solution file: ${artifactsDir}/${issueId}.json
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Session: ${sessionDir}
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issue_ids: ["<issueId>"]
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project_root: "<projectRoot>"
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## Execution
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Load solution from file → implement via Codex CLI → verify tests → commit → report.
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## Output Requirements
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1. Generate solution for this issue
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2. Write solution JSON to: <artifactsDir>/<issueId>.json
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3. Write ready marker to: <artifactsDir>/<issueId>.ready
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- Marker content: {"issue_id":"<issueId>","task_count":<task_count>,"file_count":<file_count>}
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## Multi-Issue Mode
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You will receive additional issues via follow-up messages. After completing each issue,
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output results and wait for next instruction.
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`
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})
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executorIds.push(executorId)
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executorIssueMap[executorId] = issueId
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```
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### 2d. Continue to Next Issue
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**Subsequent issues — send_input**:
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Do NOT wait for executor. Proceed to next issue immediately.
|
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```javascript
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send_input({
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id: plannerAgent,
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message: `
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## NEXT ISSUE
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issue_ids: ["<nextIssueId>"]
|
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|
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## Output Requirements
|
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1. Generate solution for this issue
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2. Write solution JSON to: <artifactsDir>/<nextIssueId>.json
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3. Write ready marker to: <artifactsDir>/<nextIssueId>.ready
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- Marker content: {"issue_id":"<nextIssueId>","task_count":<task_count>,"file_count":<file_count>}
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`
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})
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```
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Record `<planningIssueId>` = current issue ID.
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### 2b. Poll for Ready Solutions
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Poll `<artifactsDir>/*.ready` using Glob.
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| Condition | Action |
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|-----------|--------|
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| New `.ready` found (not in `<executedSet>`) | Load `<issueId>.json` solution → proceed to 2c |
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| `<plannerAgent>` busy, no `.ready` yet | Check planner: `wait({ ids: [<plannerAgent>], timeout_ms: 30000 })` |
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| Planner finished current issue | Mark planner idle, re-poll |
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| Planner timed out (30s wait) | Re-poll (planner still working) |
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| No `.ready`, planner idle, all issues delegated | Exit loop → Phase 3 |
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| Idle >5 minutes total | Exit loop → Phase 3 |
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### 2c. Inline Execution
|
||||
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Main flow implements the solution directly. For each task in `solution.tasks`, ordered by `depends_on` sequence:
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|
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| Step | Action | Tool |
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|------|--------|------|
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| 1. Read context | Read all files referenced in current task | Read |
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| 2. Identify patterns | Note imports, naming conventions, existing structure | — (inline reasoning) |
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| 3. Apply changes | Modify existing files or create new files | Edit (prefer) / Write (new files) |
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| 4. Build check | Run project build command if available | Bash |
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||||
Build verification:
|
||||
|
||||
```bash
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||||
npm run build 2>&1 || echo BUILD_FAILED
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||||
```
|
||||
|
||||
| Build Result | Action |
|
||||
|--------------|--------|
|
||||
| Success | Proceed to 2d |
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||||
| Failure | Analyze error → fix source → rebuild (max 3 retries) |
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||||
| No build command | Skip, proceed to 2d |
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||||
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||||
### 2d. Verify Tests
|
||||
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||||
Detect test command:
|
||||
|
||||
| Priority | Detection |
|
||||
|----------|-----------|
|
||||
| 1 | `package.json` → `scripts.test` |
|
||||
| 2 | `package.json` → `scripts.test:unit` |
|
||||
| 3 | `pytest.ini` / `setup.cfg` (Python) |
|
||||
| 4 | `Makefile` test target |
|
||||
|
||||
Run tests. If tests fail → self-repair loop:
|
||||
|
||||
| Attempt | Action |
|
||||
|---------|--------|
|
||||
| 1–3 | Analyze test output → diagnose → fix source code → re-run tests |
|
||||
| After 3 | Mark issue as failed, log to `<sessionDir>/errors.json`, continue |
|
||||
|
||||
### 2e. Git Commit
|
||||
|
||||
Stage and commit changes for this issue:
|
||||
|
||||
```bash
|
||||
git add -A
|
||||
git commit -m "feat(<issueId>): <solution-title>"
|
||||
```
|
||||
|
||||
| Outcome | Action |
|
||||
|---------|--------|
|
||||
| Commit succeeds | Record commit hash |
|
||||
| Commit fails (nothing to commit) | Warn, continue |
|
||||
| Pre-commit hook fails | Attempt fix once, then warn and continue |
|
||||
|
||||
### 2f. Update Status + Eagerly Delegate Next
|
||||
|
||||
Update issue status:
|
||||
|
||||
```bash
|
||||
ccw issue update <issueId> --status completed
|
||||
```
|
||||
|
||||
Add `<issueId>` to `<executedSet>`.
|
||||
|
||||
**Eager delegation**: Immediately check planner state and delegate next issue before returning to poll:
|
||||
|
||||
| Planner State | Action |
|
||||
|---------------|--------|
|
||||
| Idle AND more issues in queue | `send_input` next issue → advance `<queueIndex>` |
|
||||
| Busy (still planning) | Skip — planner already working |
|
||||
| All issues delegated | Skip — nothing to delegate |
|
||||
|
||||
This ensures planner is never idle between beats. Return to 2b for next beat.
|
||||
|
||||
---
|
||||
|
||||
## Phase 3: Wait All Executors
|
||||
## Phase 3: Report
|
||||
|
||||
### 3a. Cleanup
|
||||
|
||||
Close the planner agent. Ignore cleanup failures.
|
||||
|
||||
```javascript
|
||||
if (executorIds.length > 0) {
|
||||
const execResults = wait({ ids: executorIds, timeout_ms: 1800000 })
|
||||
if (plannerAgent) {
|
||||
try { close_agent({ id: plannerAgent }) } catch {}
|
||||
}
|
||||
```
|
||||
|
||||
if (execResults.timed_out) {
|
||||
const pending = executorIds.filter(id => !execResults.status[id]?.completed)
|
||||
if (pending.length > 0) {
|
||||
const pendingIssues = pending.map(id => executorIssueMap[id])
|
||||
Write({
|
||||
file_path: `${sessionDir}/pending-executors.json`,
|
||||
content: JSON.stringify({ pending_issues: pendingIssues, executor_ids: pending }, null, 2)
|
||||
})
|
||||
}
|
||||
}
|
||||
### 3b. Generate Report
|
||||
|
||||
// Collect summaries
|
||||
const summaries = executorIds.map(id => ({
|
||||
issue_id: executorIssueMap[id],
|
||||
status: execResults.status[id]?.completed ? 'completed' : 'timeout',
|
||||
output: execResults.status[id]?.completed ?? null
|
||||
}))
|
||||
Update `<sessionDir>/team-session.json`:
|
||||
|
||||
// Cleanup
|
||||
executorIds.forEach(id => {
|
||||
try { close_agent({ id }) } catch { /* already closed */ }
|
||||
})
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| `status` | `"completed"` |
|
||||
| `completed_at` | ISO timestamp |
|
||||
| `results.total` | Total issues in queue |
|
||||
| `results.completed` | Count in `<executedSet>` |
|
||||
| `results.failed` | Count of failed issues |
|
||||
|
||||
Output summary:
|
||||
|
||||
```
|
||||
## Pipeline Complete
|
||||
|
||||
**Total issues**: <total>
|
||||
**Completed**: <completed>
|
||||
**Failed**: <failed>
|
||||
|
||||
<per-issue status list>
|
||||
|
||||
Session: <sessionDir>
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## File-Based Coordination Protocol
|
||||
|
||||
| File | Writer | Reader | Purpose |
|
||||
|------|--------|--------|---------|
|
||||
| `<artifactsDir>/<issueId>.json` | planner | main flow | Solution data |
|
||||
| `<artifactsDir>/<issueId>.ready` | planner | main flow | Atomicity signal |
|
||||
|
||||
### Ready Marker Format
|
||||
|
||||
```json
|
||||
{
|
||||
"issue_id": "<issueId>",
|
||||
"task_count": "<task_count>",
|
||||
"file_count": "<file_count>"
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Phase 4: Report
|
||||
## Session Directory
|
||||
|
||||
```javascript
|
||||
const completed = summaries.filter(s => s.status === 'completed').length
|
||||
const failed = summaries.filter(s => s.status === 'timeout').length
|
||||
|
||||
// Update session
|
||||
Write({
|
||||
file_path: `${sessionDir}/team-session.json`,
|
||||
content: JSON.stringify({
|
||||
...session,
|
||||
status: "completed",
|
||||
completed_at: new Date().toISOString(),
|
||||
results: { total: executorIds.length, completed, failed }
|
||||
}, null, 2)
|
||||
})
|
||||
|
||||
return `
|
||||
## Pipeline Complete
|
||||
|
||||
**Total issues**: ${executorIds.length}
|
||||
**Completed**: ${completed}
|
||||
**Timed out**: ${failed}
|
||||
|
||||
${summaries.map(s => `- ${s.issue_id}: ${s.status}`).join('\n')}
|
||||
|
||||
Session: ${sessionDir}
|
||||
`
|
||||
```
|
||||
.workflow/.team/PEX-<slug>-<date>/
|
||||
├── team-session.json
|
||||
├── artifacts/
|
||||
│ └── solutions/
|
||||
│ ├── <issueId>.json
|
||||
│ └── <issueId>.ready
|
||||
└── errors.json
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## User Commands
|
||||
## Lifecycle Management
|
||||
|
||||
During execution, the user may issue:
|
||||
### Timeout Protocol
|
||||
|
||||
| Command | Action |
|
||||
|---------|--------|
|
||||
| `check` / `status` | Show executor progress summary |
|
||||
| `resume` / `continue` | Urge stalled executor |
|
||||
| Phase | Default Timeout | On Timeout |
|
||||
|-------|-----------------|------------|
|
||||
| Phase 1 (Load) | 60s | Report error, stop |
|
||||
| Phase 2 (Planner wait) | 600s per issue | Skip issue, write `.error` marker |
|
||||
| Phase 2 (Execution) | No timeout | Self-repair up to 3 retries |
|
||||
| Phase 2 (Loop idle) | 5 min total idle | Break loop → Phase 3 |
|
||||
|
||||
### Cleanup Protocol
|
||||
|
||||
At workflow end, close the planner agent:
|
||||
|
||||
```javascript
|
||||
if (plannerAgent) {
|
||||
try { close_agent({ id: plannerAgent }) } catch { /* already closed */ }
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Error Handling
|
||||
|
||||
| Scenario | Resolution |
|
||||
|----------|------------|
|
||||
| issue-plan-agent timeout (>10 min) | Skip issue, log error, continue to next |
|
||||
| issue-plan-agent failure | Retry once, then skip with error log |
|
||||
| Solution file not written | Executor reports error, logs to `${sessionDir}/errors.json` |
|
||||
| Executor (Codex CLI) failure | Executor handles resume; logs CLI resume command |
|
||||
| No issues to process | Report error: no issues found |
|
||||
| Phase | Scenario | Resolution |
|
||||
|-------|----------|------------|
|
||||
| 1 | Invalid input (no issues, bad JSONL) | Report error, stop |
|
||||
| 1 | Roadmap session not found | Report error, stop |
|
||||
| 1 | Issue fetch fails | Retry once, then skip issue |
|
||||
| 2 | Planner spawn fails | Retry once, then skip issue |
|
||||
| 2 | issue-plan-agent timeout (>10 min) | Skip issue, write `.error` marker, continue |
|
||||
| 2 | Solution file corrupt / unreadable | Skip, log to `errors.json`, continue |
|
||||
| 2 | Implementation error | Self-repair up to 3 retries per task |
|
||||
| 2 | Tests failing after 3 retries | Mark issue failed, log, continue |
|
||||
| 2 | Git commit fails | Warn, mark completed anyway |
|
||||
| 2 | Polling idle >5 minutes | Break loop → Phase 3 |
|
||||
| 3 | Agent cleanup fails | Ignore |
|
||||
|
||||
---
|
||||
|
||||
## User Commands
|
||||
|
||||
| Command | Action |
|
||||
|---------|--------|
|
||||
| `check` / `status` | Show progress: planned / executing / completed / failed counts |
|
||||
| `resume` / `continue` | Re-enter loop from Phase 2 |
|
||||
|
||||
Reference in New Issue
Block a user