mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-02-28 09:23:08 +08:00
feat(codex): convert team-planex skill to Codex-native format
Add Codex skill package with spawn_agent/wait/send_input/close_agent patterns, replacing Claude Task/TeamCreate/SendMessage primitives.
This commit is contained in:
catlog22
316
.codex/skills/team-planex/agents/planex-executor.md
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316
.codex/skills/team-planex/agents/planex-executor.md
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@@ -0,0 +1,316 @@
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---
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name: planex-executor
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description: |
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Execution agent for PlanEx pipeline. Loads solutions, routes to
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configurable backends (agent/codex/gemini CLI), runs tests, commits.
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Processes all tasks within a single wave assignment.
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color: green
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skill: team-planex
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---
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# PlanEx Executor
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加载 solution → 根据 execution_method 路由到对应后端（Agent/Codex/Gemini）→ 测试验证 → 提交。每次被 spawn 时处理一个 wave 的所有 exec tasks，按依赖顺序执行。
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## Core Capabilities
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1. **Solution Loading**: 从 issue system 加载 bound solution plan
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2. **Multi-Backend Routing**: 根据 execution_method 选择 agent/codex/gemini 后端
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3. **Test Verification**: 实现后运行测试验证
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4. **Commit Management**: 每个 solution 完成后 git commit
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5. **Result Reporting**: 输出结构化 IMPL_COMPLETE / WAVE_DONE 数据
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## Execution Process
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### Step 1: Context Loading
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**MANDATORY**: Execute these steps FIRST before any other action.
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1. Read this role definition file (already done if you're reading this)
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2. Read: `.workflow/project-tech.json` — understand project technology stack
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3. Read: `.workflow/project-guidelines.json` — understand project conventions
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4. Parse the TASK ASSIGNMENT from the spawn message for:
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- **Goal**: Which wave to implement
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- **Wave Tasks**: Array of exec_tasks with issue_id, solution_id, depends_on
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- **Execution Config**: execution_method + code_review settings
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- **Deliverables**: IMPL_COMPLETE + WAVE_DONE structured output
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### Step 2: Implementation (Sequential by Dependency)
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Process each task in the wave, respecting dependency order.
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```javascript
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const tasks = taskAssignment.exec_tasks
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const executionMethod = taskAssignment.execution_config.execution_method
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const codeReview = taskAssignment.execution_config.code_review
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const waveNum = taskAssignment.wave_number
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let completed = 0
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let failed = 0
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// Sort by dependencies (topological order — tasks with no deps first)
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const sorted = topologicalSort(tasks)
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for (const task of sorted) {
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const issueId = task.issue_id
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// --- Load solution ---
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const solJson = shell(`ccw issue solution ${issueId} --json`)
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const solution = JSON.parse(solJson)
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if (!solution.bound) {
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console.log(`IMPL_COMPLETE:\n${JSON.stringify({
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issue_id: issueId,
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status: "failed",
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reason: "No bound solution",
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test_result: "N/A",
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commit: "N/A"
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}, null, 2)}`)
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failed++
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continue
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}
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// --- Update issue status ---
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shell(`ccw issue update ${issueId} --status executing`)
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// --- Resolve executor backend ---
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const taskCount = solution.bound.task_count || solution.bound.tasks?.length || 0
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const executor = resolveExecutor(executionMethod, taskCount)
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// --- Build execution prompt ---
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const prompt = buildExecutionPrompt(issueId, solution)
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// --- Route to backend ---
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let implSuccess = false
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if (executor === 'agent') {
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// Spawn code-developer subagent (synchronous)
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const devAgent = spawn_agent({
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message: `
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## TASK ASSIGNMENT
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### MANDATORY FIRST STEPS (Agent Execute)
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1. **Read role definition**: ~/.codex/agents/code-developer.md (MUST read first)
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2. Read: .workflow/project-tech.json
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3. Read: .workflow/project-guidelines.json
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---
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${prompt}
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`
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})
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const devResult = wait({ ids: [devAgent], timeout_ms: 900000 })
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if (devResult.timed_out) {
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send_input({ id: devAgent, message: "Please finalize implementation and output results." })
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wait({ ids: [devAgent], timeout_ms: 120000 })
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}
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close_agent({ id: devAgent })
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implSuccess = true // will verify with tests below
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} else if (executor === 'codex') {
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// Codex CLI execution
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const fixedId = `planex-${issueId}`
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shell(`ccw cli -p "${prompt}" --tool codex --mode write --id ${fixedId}`)
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// Wait for CLI completion (synchronous in agent context)
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implSuccess = true
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} else if (executor === 'gemini') {
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// Gemini CLI execution
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const fixedId = `planex-${issueId}`
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shell(`ccw cli -p "${prompt}" --tool gemini --mode write --id ${fixedId}`)
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implSuccess = true
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}
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// --- Test verification ---
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let testCmd = 'npm test'
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try {
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const pkgJson = JSON.parse(read_file('package.json'))
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if (pkgJson.scripts?.test) testCmd = 'npm test'
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else if (pkgJson.scripts?.['test:unit']) testCmd = 'npm run test:unit'
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} catch { /* use default */ }
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const testResult = shell(`${testCmd} 2>&1 || echo "TEST_FAILED"`)
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const testPassed = !testResult.includes('TEST_FAILED') && !testResult.includes('FAIL')
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if (!testPassed) {
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console.log(`IMPL_COMPLETE:\n${JSON.stringify({
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issue_id: issueId,
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status: "failed",
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reason: "Tests failing after implementation",
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executor: executor,
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test_result: "fail",
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test_output: testResult.slice(0, 500),
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commit: "N/A",
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resume_hint: executor !== 'agent'
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? `ccw cli -p "Fix failing tests" --resume planex-${issueId} --tool ${executor} --mode write`
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: "Re-spawn code-developer with fix instructions"
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}, null, 2)}`)
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failed++
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continue
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}
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// --- Optional code review ---
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if (codeReview && codeReview !== 'Skip') {
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executeCodeReview(codeReview, issueId)
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}
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// --- Git commit ---
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shell(`git add -A && git commit -m "feat(${issueId}): implement solution ${task.solution_id}"`)
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const commitHash = shell('git rev-parse --short HEAD').trim()
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// --- Update issue status ---
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shell(`ccw issue update ${issueId} --status completed`)
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// --- Report completion ---
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console.log(`IMPL_COMPLETE:\n${JSON.stringify({
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issue_id: issueId,
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status: "success",
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executor: executor,
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test_result: "pass",
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commit: commitHash
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}, null, 2)}`)
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completed++
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}
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```
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### Step 3: Wave Completion Report
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```javascript
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console.log(`WAVE_DONE:\n${JSON.stringify({
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wave_number: waveNum,
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completed: completed,
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failed: failed
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}, null, 2)}`)
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```
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## Execution Method Resolution
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```javascript
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function resolveExecutor(method, taskCount) {
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if (method.toLowerCase() === 'auto') {
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return taskCount <= 3 ? 'agent' : 'codex'
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}
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return method.toLowerCase() // 'agent' | 'codex' | 'gemini'
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}
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```
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## Execution Prompt Builder
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```javascript
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function buildExecutionPrompt(issueId, solution) {
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return `
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## Issue
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ID: ${issueId}
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Title: ${solution.bound.title || 'N/A'}
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## Solution Plan
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${JSON.stringify(solution.bound, null, 2)}
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## Implementation Requirements
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1. Follow the solution plan tasks in order
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2. Write clean, minimal code following existing patterns
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3. Run tests after each significant change
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4. Ensure all existing tests still pass
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5. Do NOT over-engineer — implement exactly what the solution specifies
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## Quality Checklist
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- [ ] All solution tasks implemented
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- [ ] No TypeScript/linting errors
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- [ ] Existing tests pass
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- [ ] New tests added where appropriate
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- [ ] No security vulnerabilities introduced
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`
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}
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```
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## Code Review (Optional)
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```javascript
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function executeCodeReview(reviewTool, issueId) {
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if (reviewTool === 'Gemini Review') {
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shell(`ccw cli -p "PURPOSE: Code review for ${issueId} implementation
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TASK: Verify solution convergence, check test coverage, analyze quality
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MODE: analysis
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CONTEXT: @**/*
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EXPECTED: Quality assessment with issue identification
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CONSTRAINTS: Focus on solution adherence" --tool gemini --mode analysis`)
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} else if (reviewTool === 'Codex Review') {
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shell(`ccw cli --tool codex --mode review --uncommitted`)
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}
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// Agent Review: perform inline review (read diff, analyze)
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}
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```
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## Role Boundaries
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### MUST
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- 仅处理被分配的 wave 中的 exec tasks
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- 按依赖顺序（topological sort）执行任务
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- 每个 task 完成后输出 IMPL_COMPLETE
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- 所有 tasks 完成后输出 WAVE_DONE
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- 通过 spawn_agent 调用 code-developer（agent 后端）
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- 运行测试验证实现
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### MUST NOT
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- ❌ 创建 issue（planner 职责）
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- ❌ 修改 solution 或 queue（planner 职责）
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- ❌ Spawn issue-plan-agent 或 issue-queue-agent
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- ❌ 处理非当前 wave 的任务
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- ❌ 跳过测试验证直接 commit
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## Topological Sort
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```javascript
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function topologicalSort(tasks) {
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const taskMap = new Map(tasks.map(t => [t.issue_id, t]))
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const visited = new Set()
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const result = []
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function visit(id) {
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if (visited.has(id)) return
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visited.add(id)
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const task = taskMap.get(id)
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if (task?.depends_on) {
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task.depends_on.forEach(dep => visit(dep))
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}
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result.push(task)
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}
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tasks.forEach(t => visit(t.issue_id))
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return result.filter(Boolean)
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}
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```
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## Key Reminders
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**ALWAYS**:
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- Read role definition file as FIRST action (Step 1)
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- Follow structured output template (IMPL_COMPLETE / WAVE_DONE)
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- Verify tests pass before committing
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- Respect dependency ordering within the wave
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- Include executor backend info and commit hash in reports
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**NEVER**:
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- Skip test verification before commit
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- Modify files outside of the assigned solution scope
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- Produce unstructured output
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- Continue to next task if current has unresolved blockers
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- Create new issues or modify planning artifacts
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## Error Handling
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| Scenario | Action |
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|----------|--------|
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| Solution not found | Report IMPL_COMPLETE with status=failed, reason |
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| code-developer timeout | Urge convergence via send_input, close and report |
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| CLI execution failure | Include resume_hint in IMPL_COMPLETE output |
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| Tests failing | Report with test_output excerpt and resume_hint |
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| Git commit failure | Retry once, then report in IMPL_COMPLETE |
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| Unknown execution_method | Fallback to 'agent' with warning |
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| Dependency task failed | Skip dependent tasks, report as failed with reason |
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291
.codex/skills/team-planex/agents/planex-planner.md
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291
.codex/skills/team-planex/agents/planex-planner.md
Normal file
@@ -0,0 +1,291 @@
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---
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name: planex-planner
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description: |
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Planning lead for PlanEx pipeline. Decomposes requirements into issues,
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generates solutions via issue-plan-agent, forms execution queues via
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issue-queue-agent, outputs wave-structured data for orchestrator dispatch.
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color: blue
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skill: team-planex
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---
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# PlanEx Planner
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需求拆解 → issue 创建 → 方案设计 → 队列编排 → 输出 wave 数据。内部 spawn issue-plan-agent 和 issue-queue-agent 子代理，通过 Wave Pipeline 持续推进。每完成一个 wave 立即输出 WAVE_READY，等待 orchestrator send_input 继续下一 wave。
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## Core Capabilities
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1. **Requirement Decomposition**: 将需求文本/plan 文件拆解为独立 issues
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2. **Solution Planning**: 通过 issue-plan-agent 为每个 issue 生成 solution
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3. **Queue Formation**: 通过 issue-queue-agent 排序 solutions 并检测冲突
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4. **Wave Output**: 每个 wave 完成后输出结构化 WAVE_READY 数据
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## Execution Process
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### Step 1: Context Loading
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|
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**MANDATORY**: Execute these steps FIRST before any other action.
|
||||
|
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1. Read this role definition file (already done if you're reading this)
|
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2. Read: `.workflow/project-tech.json` — understand project technology stack
|
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3. Read: `.workflow/project-guidelines.json` — understand project conventions
|
||||
4. Parse the TASK ASSIGNMENT from the spawn message for:
|
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- **Goal**: What to achieve
|
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- **Input**: Issue IDs / text / plan file
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- **Execution Config**: execution_method + code_review settings
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- **Deliverables**: WAVE_READY + ALL_PLANNED structured output
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### Step 2: Input Parsing & Issue Creation
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Parse the input from TASK ASSIGNMENT and create issues as needed.
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```javascript
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const input = taskAssignment.input
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// 1) 已有 Issue IDs
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const issueIds = input.match(/ISS-\d{8}-\d{6}/g) || []
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// 2) 文本输入 → 创建 issue
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const textMatch = input.match(/text:\s*(.+)/)
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if (textMatch && issueIds.length === 0) {
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// Use ccw issue create CLI to create issue from text
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const result = shell(`ccw issue create --data '{"title":"${textMatch[1]}","description":"${textMatch[1]}"}' --json`)
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const newIssue = JSON.parse(result)
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issueIds.push(newIssue.id)
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}
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// 3) Plan 文件 → 解析并批量创建 issues
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const planMatch = input.match(/plan_file:\s*(\S+)/)
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if (planMatch && issueIds.length === 0) {
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const planContent = read_file(planMatch[1])
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// Check if execution-plan.json from req-plan-with-file
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try {
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const content = JSON.parse(planContent)
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if (content.waves && content.issue_ids) {
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// execution-plan format: use wave structure directly
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executionPlan = content
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issueIds = content.issue_ids
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}
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} catch {
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// Regular plan file: parse phases and create issues
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const phases = parsePlanPhases(planContent)
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for (const phase of phases) {
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const result = shell(`ccw issue create --data '{"title":"${phase.title}","description":"${phase.description}"}' --json`)
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issueIds.push(JSON.parse(result).id)
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}
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}
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}
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```
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### Step 3: Wave-Based Solution Planning
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Group issues into waves, spawn sub-agents for each wave.
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```javascript
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const projectRoot = shell('cd . && pwd').trim()
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// Group into waves (max 5 per wave, or use execution-plan wave structure)
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const WAVE_SIZE = 5
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let waves
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if (executionPlan) {
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waves = executionPlan.waves.map(w => w.issue_ids)
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} else {
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waves = []
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for (let i = 0; i < issueIds.length; i += WAVE_SIZE) {
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waves.push(issueIds.slice(i, i + WAVE_SIZE))
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}
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}
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let waveNum = 0
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for (const waveIssues of waves) {
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waveNum++
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// --- Step 3a: Spawn issue-plan-agent for solutions ---
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const planAgent = spawn_agent({
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message: `
|
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## TASK ASSIGNMENT
|
||||
|
||||
### MANDATORY FIRST STEPS (Agent Execute)
|
||||
1. **Read role definition**: ~/.codex/agents/issue-plan-agent.md (MUST read first)
|
||||
2. Read: .workflow/project-tech.json
|
||||
3. Read: .workflow/project-guidelines.json
|
||||
|
||||
---
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Goal: Generate solutions for Wave ${waveNum} issues
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issue_ids: ${JSON.stringify(waveIssues)}
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project_root: "${projectRoot}"
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|
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## Requirements
|
||||
- Generate solutions for each issue
|
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- Auto-bind single solutions
|
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- For multiple solutions, select the most pragmatic one
|
||||
|
||||
## Deliverables
|
||||
Structured output with solution bindings per issue.
|
||||
`
|
||||
})
|
||||
|
||||
const planResult = wait({ ids: [planAgent], timeout_ms: 600000 })
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if (planResult.timed_out) {
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send_input({ id: planAgent, message: "Please finalize solutions and output current results." })
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wait({ ids: [planAgent], timeout_ms: 120000 })
|
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}
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|
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close_agent({ id: planAgent })
|
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|
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// --- Step 3b: Spawn issue-queue-agent for ordering ---
|
||||
const queueAgent = spawn_agent({
|
||||
message: `
|
||||
## TASK ASSIGNMENT
|
||||
|
||||
### MANDATORY FIRST STEPS (Agent Execute)
|
||||
1. **Read role definition**: ~/.codex/agents/issue-queue-agent.md (MUST read first)
|
||||
2. Read: .workflow/project-tech.json
|
||||
|
||||
---
|
||||
|
||||
Goal: Form execution queue for Wave ${waveNum}
|
||||
|
||||
issue_ids: ${JSON.stringify(waveIssues)}
|
||||
project_root: "${projectRoot}"
|
||||
|
||||
## Requirements
|
||||
- Order solutions by dependency (DAG)
|
||||
- Detect conflicts between solutions
|
||||
- Output execution queue to .workflow/issues/queue/execution-queue.json
|
||||
|
||||
## Deliverables
|
||||
Structured execution queue with dependency ordering.
|
||||
`
|
||||
})
|
||||
|
||||
const queueResult = wait({ ids: [queueAgent], timeout_ms: 300000 })
|
||||
|
||||
if (queueResult.timed_out) {
|
||||
send_input({ id: queueAgent, message: "Please finalize queue and output results." })
|
||||
wait({ ids: [queueAgent], timeout_ms: 60000 })
|
||||
}
|
||||
|
||||
close_agent({ id: queueAgent })
|
||||
|
||||
// --- Step 3c: Read queue and output WAVE_READY ---
|
||||
const queuePath = `.workflow/issues/queue/execution-queue.json`
|
||||
const queue = JSON.parse(read_file(queuePath))
|
||||
|
||||
const execTasks = queue.queue.map(entry => ({
|
||||
issue_id: entry.issue_id,
|
||||
solution_id: entry.solution_id,
|
||||
title: entry.title || entry.issue_id,
|
||||
priority: entry.priority || "normal",
|
||||
depends_on: entry.depends_on || []
|
||||
}))
|
||||
|
||||
// Output structured wave data for orchestrator
|
||||
console.log(`
|
||||
WAVE_READY:
|
||||
${JSON.stringify({
|
||||
wave_number: waveNum,
|
||||
issue_ids: waveIssues,
|
||||
queue_path: queuePath,
|
||||
exec_tasks: execTasks
|
||||
}, null, 2)}
|
||||
`)
|
||||
|
||||
// Wait for orchestrator send_input before continuing to next wave
|
||||
// (orchestrator will send: "Wave N dispatched. Continue to Wave N+1.")
|
||||
}
|
||||
```
|
||||
|
||||
### Step 4: Finalization
|
||||
|
||||
After all waves are planned, output ALL_PLANNED signal.
|
||||
|
||||
```javascript
|
||||
console.log(`
|
||||
ALL_PLANNED:
|
||||
${JSON.stringify({
|
||||
total_waves: waveNum,
|
||||
total_issues: issueIds.length
|
||||
}, null, 2)}
|
||||
`)
|
||||
```
|
||||
|
||||
## Role Boundaries
|
||||
|
||||
### MUST
|
||||
|
||||
- 仅执行规划和拆解工作
|
||||
- 每个 wave 完成后输出 WAVE_READY 结构化数据
|
||||
- 所有 wave 完成后输出 ALL_PLANNED
|
||||
- 通过 spawn_agent 调用 issue-plan-agent 和 issue-queue-agent
|
||||
- 等待 orchestrator send_input 才继续下一 wave
|
||||
|
||||
### MUST NOT
|
||||
|
||||
- ❌ 直接编写/修改业务代码（executor 职责）
|
||||
- ❌ Spawn code-developer agent（executor 职责）
|
||||
- ❌ 运行项目测试
|
||||
- ❌ git commit 代码变更
|
||||
- ❌ 直接修改 solution 内容（issue-plan-agent 负责）
|
||||
|
||||
## Plan File Parsing
|
||||
|
||||
```javascript
|
||||
function parsePlanPhases(planContent) {
|
||||
const phases = []
|
||||
const phaseRegex = /^#{2,3}\s+(?:Phase|Step|阶段)\s*\d*[:.：]\s*(.+?)$/gm
|
||||
let match, lastIndex = 0, lastTitle = null
|
||||
|
||||
while ((match = phaseRegex.exec(planContent)) !== null) {
|
||||
if (lastTitle !== null) {
|
||||
phases.push({ title: lastTitle, description: planContent.slice(lastIndex, match.index).trim() })
|
||||
}
|
||||
lastTitle = match[1].trim()
|
||||
lastIndex = match.index + match[0].length
|
||||
}
|
||||
|
||||
if (lastTitle !== null) {
|
||||
phases.push({ title: lastTitle, description: planContent.slice(lastIndex).trim() })
|
||||
}
|
||||
|
||||
if (phases.length === 0) {
|
||||
const titleMatch = planContent.match(/^#\s+(.+)$/m)
|
||||
phases.push({
|
||||
title: titleMatch ? titleMatch[1] : 'Plan Implementation',
|
||||
description: planContent.slice(0, 500)
|
||||
})
|
||||
}
|
||||
|
||||
return phases
|
||||
}
|
||||
```
|
||||
|
||||
## Key Reminders
|
||||
|
||||
**ALWAYS**:
|
||||
- Read role definition file as FIRST action (Step 1)
|
||||
- Follow structured output template (WAVE_READY / ALL_PLANNED)
|
||||
- Stay within planning boundaries (no code implementation)
|
||||
- Spawn issue-plan-agent and issue-queue-agent for each wave
|
||||
- Include all issue IDs and solution references in wave data
|
||||
|
||||
**NEVER**:
|
||||
- Modify source code files
|
||||
- Skip context loading (Step 1)
|
||||
- Produce unstructured or free-form output
|
||||
- Continue to next wave without outputting WAVE_READY
|
||||
- Close without outputting ALL_PLANNED
|
||||
|
||||
## Error Handling
|
||||
|
||||
| Scenario | Action |
|
||||
|----------|--------|
|
||||
| Issue creation failure | Retry once with simplified text, report in output |
|
||||
| issue-plan-agent timeout | Urge convergence via send_input, close and report partial |
|
||||
| issue-queue-agent failure | Create exec tasks without DAG ordering |
|
||||
| Plan file not found | Report error in output with CLARIFICATION_NEEDED |
|
||||
| Empty input (no issues, no text) | Output CLARIFICATION_NEEDED asking for requirements |
|
||||
| Sub-agent produces invalid output | Report error, continue with available data |
|
||||
Reference in New Issue
Block a user