mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-03-27 20:00:44 +08:00
delete: remove unified-execute-with-file skill documentation and implementation details
This commit is contained in:
catlog22
@@ -25,9 +25,6 @@ $csv-wave-pipeline --continue "auth-20260228"
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- `-c, --concurrency N`: Max concurrent agents within each wave (default: 4)
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- `--continue`: Resume existing session
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**Output Directory**: `.workflow/.csv-wave/{session-id}/`
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**Core Output**: `tasks.csv` (master state) + `results.csv` (final) + `discoveries.ndjson` (shared exploration) + `context.md` (human-readable report)
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---
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## Overview
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@@ -37,35 +34,75 @@ Wave-based batch execution using `spawn_agents_on_csv` with **cross-wave context
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**Core workflow**: Decompose → Compute Waves → Execute Wave-by-Wave → Aggregate
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```
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┌─────────────────────────────────────────────────────────────────────────┐
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│ CSV BATCH EXECUTION WORKFLOW │
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├─────────────────────────────────────────────────────────────────────────┤
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│ │
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│ Phase 1: Requirement → CSV │
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│ ├─ Parse requirement into subtasks (3-10 tasks) │
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│ ├─ Identify dependencies (deps column) │
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│ ├─ Compute dependency waves (topological sort → depth grouping) │
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│ ├─ Generate tasks.csv with wave column │
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│ └─ User validates task breakdown (skip if -y) │
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│ │
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│ Phase 2: Wave Execution Engine │
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│ ├─ For each wave (1..N): │
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│ │ ├─ Build wave CSV (filter rows for this wave) │
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│ │ ├─ Inject previous wave findings into prev_context column │
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│ │ ├─ spawn_agents_on_csv(wave CSV) │
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│ │ ├─ Collect results, merge into master tasks.csv │
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│ │ └─ Check: any failed? → skip dependents or retry │
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│ └─ discoveries.ndjson shared across all waves (append-only) │
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│ │
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│ Phase 3: Results Aggregation │
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│ ├─ Export final results.csv │
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│ ├─ Generate context.md with all findings │
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│ ├─ Display summary: completed/failed/skipped per wave │
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│ └─ Offer: view results | retry failed | done │
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│ │
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└─────────────────────────────────────────────────────────────────────────┘
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Phase 1: Requirement → CSV
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├─ Parse requirement into subtasks (3-10 tasks)
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├─ Identify dependencies (deps column)
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├─ Compute dependency waves (topological sort → depth grouping)
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├─ Generate tasks.csv with wave column
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└─ User validates task breakdown (skip if -y)
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Phase 2: Wave Execution Engine
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├─ For each wave (1..N):
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│ ├─ Build wave CSV (filter rows for this wave)
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│ ├─ Inject previous wave findings into prev_context column
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│ ├─ spawn_agents_on_csv(wave CSV)
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│ ├─ Collect results, merge into master tasks.csv
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│ └─ Check: any failed? → skip dependents or retry
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└─ discoveries.ndjson shared across all waves (append-only)
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Phase 3: Results Aggregation
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├─ Export final results.csv
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├─ Generate context.md with all findings
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├─ Display summary: completed/failed/skipped per wave
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└─ Offer: view results | retry failed | done
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```
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### Context Propagation
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Two context channels flow across waves:
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1. **CSV findings** (structured): `context_from` column → `prev_context` injection — task-specific directed context
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2. **NDJSON discoveries** (broadcast): `discoveries.ndjson` — general exploration findings available to all
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```
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Wave 1 agents:
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├─ Execute tasks (no prev_context)
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├─ Write findings to report_agent_job_result
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└─ Append discoveries to discoveries.ndjson
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↓ merge results into master CSV
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Wave 2 agents:
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├─ Read discoveries.ndjson (exploration sharing)
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├─ Read prev_context column (wave 1 findings from context_from)
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├─ Execute tasks with full upstream context
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├─ Write findings to report_agent_job_result
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└─ Append new discoveries to discoveries.ndjson
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↓ merge results into master CSV
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Wave 3+ agents: same pattern, accumulated context from all prior waves
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```
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---
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## Session & Output Structure
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```
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.workflow/.csv-wave/{session-id}/
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├── tasks.csv # Master state (updated per wave)
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├── results.csv # Final results export (Phase 3)
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├── discoveries.ndjson # Shared discovery board (all agents, append-only)
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├── context.md # Human-readable report (Phase 3)
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├── wave-{N}.csv # Temporary per-wave input (cleaned up after merge)
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└── wave-{N}-results.csv # Temporary per-wave output (cleaned up after merge)
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```
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| File | Purpose | Lifecycle |
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|------|---------|-----------|
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| `tasks.csv` | Master state — all tasks with status/findings | Updated after each wave |
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| `wave-{N}.csv` | Per-wave input with prev_context column | Created before wave, deleted after |
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| `wave-{N}-results.csv` | Per-wave output from spawn_agents_on_csv | Created during wave, deleted after merge |
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| `results.csv` | Final export of all task results | Created in Phase 3 |
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| `discoveries.ndjson` | Shared exploration board across all agents | Append-only, carries across waves |
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| `context.md` | Human-readable execution report | Created in Phase 3 |
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---
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## CSV Schema
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@@ -104,7 +141,7 @@ id,title,description,test,acceptance_criteria,scope,hints,execution_directives,d
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### Per-Wave CSV (Temporary)
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Each wave generates a temporary `wave-{N}.csv` with an extra `prev_context` column:
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Each wave generates a temporary `wave-{N}.csv` with an extra `prev_context` column built from `context_from` by looking up completed tasks' `findings` in the master CSV:
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```csv
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id,title,description,test,acceptance_criteria,scope,hints,execution_directives,deps,context_from,wave,prev_context
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@@ -112,32 +149,37 @@ id,title,description,test,acceptance_criteria,scope,hints,execution_directives,d
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"3","Add JWT tokens","Implement JWT","Unit test: sign/verify round-trip; Edge test: expired token returns 401","generateToken() returns valid JWT; verifyToken() rejects expired/tampered tokens","src/auth/jwt/**","Use jsonwebtoken library; Set default expiry 1h || src/config/auth.ts","Ensure tsc --noEmit passes","1","1","2","[Task 1] Created auth/ with index.ts and types.ts"
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```
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The `prev_context` column is built from `context_from` by looking up completed tasks' `findings` in the master CSV.
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---
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## Output Artifacts
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## Shared Discovery Board Protocol
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| File | Purpose | Lifecycle |
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|------|---------|-----------|
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| `tasks.csv` | Master state — all tasks with status/findings | Updated after each wave |
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| `wave-{N}.csv` | Per-wave input (temporary) | Created before wave, deleted after |
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| `results.csv` | Final export of all task results | Created in Phase 3 |
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| `discoveries.ndjson` | Shared exploration board across all agents | Append-only, carries across waves |
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| `context.md` | Human-readable execution report | Created in Phase 3 |
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All agents across all waves share `discoveries.ndjson`. This eliminates redundant codebase exploration.
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---
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**Lifecycle**: Created by the first agent to write a discovery. Carries over across waves — never cleared. Agents append via `echo '...' >> discoveries.ndjson`.
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## Session Structure
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**Format**: NDJSON, each line is a self-contained JSON:
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```jsonl
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{"ts":"2026-02-28T10:00:00+08:00","worker":"1","type":"code_pattern","data":{"name":"repository-pattern","file":"src/repos/Base.ts","description":"Abstract CRUD repository"}}
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{"ts":"2026-02-28T10:01:00+08:00","worker":"2","type":"integration_point","data":{"file":"src/auth/index.ts","description":"Auth module entry","exports":["authenticate","authorize"]}}
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```
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.workflow/.csv-wave/{session-id}/
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├── tasks.csv # Master state (updated per wave)
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├── results.csv # Final results export
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├── discoveries.ndjson # Shared discovery board (all agents)
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├── context.md # Human-readable report
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└── wave-{N}.csv # Temporary per-wave input (cleaned up)
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```
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**Discovery Types**:
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| type | Dedup Key | Description |
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|------|-----------|-------------|
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| `code_pattern` | `data.name` | Reusable code pattern found |
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| `integration_point` | `data.file` | Module connection point |
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| `convention` | singleton | Code style conventions |
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| `blocker` | `data.issue` | Blocking issue encountered |
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| `tech_stack` | singleton | Project technology stack |
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| `test_command` | singleton | Test commands discovered |
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**Protocol Rules**:
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1. Read board before own exploration → skip covered areas
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2. Write discoveries immediately via `echo >>` → don't batch
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3. Deduplicate — check existing entries; skip if same type + dedup key exists
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4. Append-only — never modify or delete existing lines
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---
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@@ -154,17 +196,19 @@ const continueMode = $ARGUMENTS.includes('--continue')
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const concurrencyMatch = $ARGUMENTS.match(/(?:--concurrency|-c)\s+(\d+)/)
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const maxConcurrency = concurrencyMatch ? parseInt(concurrencyMatch[1]) : 4
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// Clean requirement text (remove flags)
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// Clean requirement text (remove flags — word-boundary safe)
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const requirement = $ARGUMENTS
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.replace(/--yes|-y|--continue|--concurrency\s+\d+|-c\s+\d+/g, '')
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.replace(/--yes|(?:^|\s)-y(?=\s|$)|--continue|--concurrency\s+\d+|-c\s+\d+/g, '')
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.trim()
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let sessionId, sessionFolder
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const slug = requirement.toLowerCase()
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.replace(/[^a-z0-9\u4e00-\u9fa5]+/g, '-')
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.substring(0, 40)
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const dateStr = getUtc8ISOString().substring(0, 10).replace(/-/g, '')
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const sessionId = `cwp-${slug}-${dateStr}`
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const sessionFolder = `.workflow/.csv-wave/${sessionId}`
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sessionId = `cwp-${slug}-${dateStr}`
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sessionFolder = `.workflow/.csv-wave/${sessionId}`
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// Continue mode: find existing session
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if (continueMode) {
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@@ -181,6 +225,60 @@ if (continueMode) {
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Bash(`mkdir -p ${sessionFolder}`)
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```
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### CSV Utility Functions
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```javascript
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// Escape a value for CSV (wrap in quotes, double internal quotes)
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function csvEscape(value) {
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const str = String(value ?? '')
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return str.replace(/"/g, '""')
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}
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// Parse CSV string into array of objects (header row → keys)
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function parseCsv(csvString) {
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const lines = csvString.trim().split('\n')
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if (lines.length < 2) return []
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const headers = parseCsvLine(lines[0]).map(h => h.replace(/^"|"$/g, ''))
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return lines.slice(1).map(line => {
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const cells = parseCsvLine(line).map(c => c.replace(/^"|"$/g, '').replace(/""/g, '"'))
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const obj = {}
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headers.forEach((h, i) => { obj[h] = cells[i] ?? '' })
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return obj
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})
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}
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// Parse a single CSV line respecting quoted fields with commas/newlines
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function parseCsvLine(line) {
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const cells = []
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let current = ''
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let inQuotes = false
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for (let i = 0; i < line.length; i++) {
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const ch = line[i]
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if (inQuotes) {
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if (ch === '"' && line[i + 1] === '"') {
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current += '"'
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i++ // skip escaped quote
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} else if (ch === '"') {
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inQuotes = false
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} else {
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current += ch
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}
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} else {
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if (ch === '"') {
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inQuotes = true
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} else if (ch === ',') {
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cells.push(current)
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current = ''
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} else {
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current += ch
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}
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}
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}
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cells.push(current)
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return cells
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}
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```
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---
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### Phase 1: Requirement → CSV
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@@ -222,11 +320,28 @@ REQUIREMENT: ${requirement}" --tool gemini --mode analysis --rule planning-break
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// Parse JSON from CLI output → decomposedTasks[]
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```
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2. **Compute Waves** (Topological Sort → Depth Grouping)
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2. **Compute Waves** (Kahn's BFS topological sort with depth tracking)
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```javascript
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// Algorithm:
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// 1. Build in-degree map and adjacency list from deps
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// 2. Enqueue all tasks with in-degree 0 at wave 1
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// 3. BFS: for each dequeued task at wave W, for each dependent D:
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// - Decrement D's in-degree
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// - D.wave = max(D.wave, W + 1)
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// - If D's in-degree reaches 0, enqueue D
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// 4. Any task without wave assignment → circular dependency error
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//
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// Wave properties:
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// Wave 1: no dependencies — fully independent
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// Wave N: all deps in waves 1..(N-1) — guaranteed completed before start
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// Within a wave: tasks are independent → safe for concurrent execution
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//
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// Example:
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// A(no deps)→W1, B(no deps)→W1, C(deps:A)→W2, D(deps:A,B)→W2, E(deps:C,D)→W3
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// Wave 1: [A,B] concurrent → Wave 2: [C,D] concurrent → Wave 3: [E]
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function computeWaves(tasks) {
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// Build adjacency: task.deps → predecessors
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const taskMap = new Map(tasks.map(t => [t.id, t]))
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const inDegree = new Map(tasks.map(t => [t.id, 0]))
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const adjList = new Map(tasks.map(t => [t.id, []]))
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@@ -267,7 +382,7 @@ REQUIREMENT: ${requirement}" --tool gemini --mode analysis --rule planning-break
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}
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}
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// Detect cycles: any task without wave assignment
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// Detect cycles
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for (const task of tasks) {
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if (!waveAssignment.has(task.id)) {
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throw new Error(`Circular dependency detected involving task ${task.id}`)
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@@ -344,10 +459,7 @@ REQUIREMENT: ${requirement}" --tool gemini --mode analysis --rule planning-break
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}
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```
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**Success Criteria**:
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- tasks.csv created with valid schema and wave assignments
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- No circular dependencies
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- User approved (or AUTO_YES)
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**Success Criteria**: tasks.csv created with valid schema and wave assignments, no circular dependencies, user approved (or AUTO_YES).
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---
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@@ -378,7 +490,6 @@ REQUIREMENT: ${requirement}" --tool gemini --mode analysis --rule planning-break
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const deps = task.deps.split(';').filter(Boolean)
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if (deps.some(d => failedIds.has(d) || skippedIds.has(d))) {
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skippedIds.add(task.id)
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// Update master CSV: mark as skipped
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updateMasterCsvRow(sessionFolder, task.id, {
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status: 'skipped',
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error: 'Dependency failed or skipped'
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@@ -394,7 +505,7 @@ REQUIREMENT: ${requirement}" --tool gemini --mode analysis --rule planning-break
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continue
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}
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// 4. Build prev_context for each task
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// 4. Build prev_context for each task (from context_from → master CSV findings)
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for (const task of executableTasks) {
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const contextIds = task.context_from.split(';').filter(Boolean)
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const prevFindings = contextIds
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@@ -465,8 +576,8 @@ REQUIREMENT: ${requirement}" --tool gemini --mode analysis --rule planning-break
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}
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}
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// 8. Cleanup temporary wave CSV
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Bash(`rm -f "${sessionFolder}/wave-${wave}.csv"`)
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// 8. Cleanup temporary wave CSVs
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Bash(`rm -f "${sessionFolder}/wave-${wave}.csv" "${sessionFolder}/wave-${wave}-results.csv"`)
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console.log(` Wave ${wave} done: ${waveResults.filter(r => r.status === 'completed').length} completed, ${waveResults.filter(r => r.status === 'failed').length} failed`)
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}
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@@ -535,6 +646,8 @@ REQUIREMENT: ${requirement}" --tool gemini --mode analysis --rule planning-break
|
||||
- \`integration_point\`: {file, description, exports[]} — module connection points
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- \`convention\`: {naming, imports, formatting} — code style conventions
|
||||
- \`blocker\`: {issue, severity, impact} — blocking issues encountered
|
||||
- \`tech_stack\`: {runtime, framework, language} — project technology stack
|
||||
- \`test_command\`: {command, scope, description} — test commands discovered
|
||||
|
||||
---
|
||||
|
||||
@@ -587,11 +700,7 @@ Otherwise set status to "failed" with details in error field.
|
||||
}
|
||||
```
|
||||
|
||||
**Success Criteria**:
|
||||
- All waves executed in order
|
||||
- Each wave's results merged into master CSV before next wave starts
|
||||
- Dependent tasks skipped when predecessor failed
|
||||
- discoveries.ndjson accumulated across all waves
|
||||
**Success Criteria**: All waves executed in order, each wave's results merged into master CSV before next wave starts, dependent tasks skipped when predecessor failed, discoveries.ndjson accumulated across all waves.
|
||||
|
||||
---
|
||||
|
||||
@@ -741,120 +850,7 @@ ${[...new Set(tasks.flatMap(t => (t.files_modified || '').split(';')).filter(Boo
|
||||
}
|
||||
```
|
||||
|
||||
**Success Criteria**:
|
||||
- results.csv exported
|
||||
- context.md generated
|
||||
- Summary displayed to user
|
||||
|
||||
---
|
||||
|
||||
## Shared Discovery Board Protocol
|
||||
|
||||
All agents across all waves share `discoveries.ndjson`. This eliminates redundant codebase exploration.
|
||||
|
||||
**Lifecycle**:
|
||||
- Created by the first agent to write a discovery
|
||||
- Carries over across waves — never cleared
|
||||
- Agents append via `echo '...' >> discoveries.ndjson`
|
||||
|
||||
**Format**: NDJSON, each line is a self-contained JSON:
|
||||
|
||||
```jsonl
|
||||
{"ts":"2026-02-28T10:00:00+08:00","worker":"1","type":"code_pattern","data":{"name":"repository-pattern","file":"src/repos/Base.ts","description":"Abstract CRUD repository"}}
|
||||
{"ts":"2026-02-28T10:01:00+08:00","worker":"2","type":"integration_point","data":{"file":"src/auth/index.ts","description":"Auth module entry","exports":["authenticate","authorize"]}}
|
||||
```
|
||||
|
||||
**Discovery Types**:
|
||||
|
||||
| type | Dedup Key | Description |
|
||||
|------|-----------|-------------|
|
||||
| `code_pattern` | `data.name` | Reusable code pattern found |
|
||||
| `integration_point` | `data.file` | Module connection point |
|
||||
| `convention` | singleton | Code style conventions |
|
||||
| `blocker` | `data.issue` | Blocking issue encountered |
|
||||
| `tech_stack` | singleton | Project technology stack |
|
||||
| `test_command` | singleton | Test commands discovered |
|
||||
|
||||
**Protocol Rules**:
|
||||
1. Read board before own exploration → skip covered areas
|
||||
2. Write discoveries immediately via `echo >>` → don't batch
|
||||
3. Deduplicate — check existing entries; skip if same type + dedup key exists
|
||||
4. Append-only — never modify or delete existing lines
|
||||
|
||||
---
|
||||
|
||||
## Wave Computation Details
|
||||
|
||||
### Algorithm
|
||||
|
||||
Kahn's BFS topological sort with depth tracking:
|
||||
|
||||
```
|
||||
Input: tasks[] with deps[]
|
||||
Output: waveAssignment (taskId → wave number)
|
||||
|
||||
1. Build in-degree map and adjacency list from deps
|
||||
2. Enqueue all tasks with in-degree 0 at wave 1
|
||||
3. BFS: for each dequeued task at wave W:
|
||||
- For each dependent task D:
|
||||
- Decrement D's in-degree
|
||||
- D.wave = max(D.wave, W + 1)
|
||||
- If D's in-degree reaches 0, enqueue D
|
||||
4. Any task without wave assignment → circular dependency error
|
||||
```
|
||||
|
||||
### Wave Properties
|
||||
|
||||
- **Wave 1**: No dependencies — all tasks in wave 1 are fully independent
|
||||
- **Wave N**: All dependencies are in waves 1..(N-1) — guaranteed completed before wave N starts
|
||||
- **Within a wave**: Tasks are independent of each other → safe for concurrent execution
|
||||
|
||||
### Example
|
||||
|
||||
```
|
||||
Task A (no deps) → Wave 1
|
||||
Task B (no deps) → Wave 1
|
||||
Task C (deps: A) → Wave 2
|
||||
Task D (deps: A, B) → Wave 2
|
||||
Task E (deps: C, D) → Wave 3
|
||||
|
||||
Execution:
|
||||
Wave 1: [A, B] ← concurrent
|
||||
Wave 2: [C, D] ← concurrent, sees A+B findings
|
||||
Wave 3: [E] ← sees A+B+C+D findings
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Context Propagation Flow
|
||||
|
||||
```
|
||||
Wave 1 agents:
|
||||
├─ Execute tasks (no prev_context)
|
||||
├─ Write findings to report_agent_job_result
|
||||
└─ Append discoveries to discoveries.ndjson
|
||||
|
||||
↓ merge results into master CSV
|
||||
|
||||
Wave 2 agents:
|
||||
├─ Read discoveries.ndjson (exploration sharing)
|
||||
├─ Read prev_context column (wave 1 findings from context_from)
|
||||
├─ Execute tasks with full upstream context
|
||||
├─ Write findings to report_agent_job_result
|
||||
└─ Append new discoveries to discoveries.ndjson
|
||||
|
||||
↓ merge results into master CSV
|
||||
|
||||
Wave 3 agents:
|
||||
├─ Read discoveries.ndjson (accumulated from waves 1+2)
|
||||
├─ Read prev_context column (wave 1+2 findings from context_from)
|
||||
├─ Execute tasks
|
||||
└─ ...
|
||||
```
|
||||
|
||||
**Two context channels**:
|
||||
1. **CSV findings** (structured): `context_from` column → `prev_context` injection — task-specific directed context
|
||||
2. **NDJSON discoveries** (broadcast): `discoveries.ndjson` — general exploration findings available to all
|
||||
**Success Criteria**: results.csv exported, context.md generated, summary displayed to user.
|
||||
|
||||
---
|
||||
|
||||
@@ -872,7 +868,9 @@ Wave 3 agents:
|
||||
|
||||
---
|
||||
|
||||
## Core Rules
|
||||
## Rules & Best Practices
|
||||
|
||||
### Core Rules
|
||||
|
||||
1. **Start Immediately**: First action is session initialization, then Phase 1
|
||||
2. **Wave Order is Sacred**: Never execute wave N before wave N-1 completes and results are merged
|
||||
@@ -880,22 +878,18 @@ Wave 3 agents:
|
||||
4. **Context Propagation**: prev_context built from master CSV, not from memory
|
||||
5. **Discovery Board is Append-Only**: Never clear, modify, or recreate discoveries.ndjson
|
||||
6. **Skip on Failure**: If a dependency failed, skip the dependent task (don't attempt)
|
||||
7. **Cleanup Temp Files**: Remove wave-{N}.csv after results are merged
|
||||
7. **Cleanup Temp Files**: Remove wave-{N}.csv and wave-{N}-results.csv after results are merged
|
||||
8. **DO NOT STOP**: Continuous execution until all waves complete or all remaining tasks are skipped
|
||||
|
||||
---
|
||||
### Task Design
|
||||
|
||||
## Best Practices
|
||||
- **Granularity**: 3-10 tasks optimal; too many = overhead, too few = no parallelism benefit
|
||||
- **Minimize Cross-Wave Deps**: More tasks in wave 1 = more parallelism
|
||||
- **Specific Descriptions**: Agent sees only its CSV row + prev_context — make description self-contained
|
||||
- **Context From ≠ Deps**: `deps` = execution order constraint; `context_from` = information flow. A task can have `context_from` without `deps` (it just reads previous findings but doesn't require them to be done first in its wave)
|
||||
- **Concurrency Tuning**: `-c 1` for serial execution (maximum context sharing); `-c 8` for I/O-bound tasks
|
||||
|
||||
1. **Task Granularity**: 3-10 tasks optimal; too many = overhead, too few = no parallelism benefit
|
||||
2. **Minimize Cross-Wave Deps**: More tasks in wave 1 = more parallelism
|
||||
3. **Specific Descriptions**: Agent sees only its CSV row + prev_context — make description self-contained
|
||||
4. **Context From ≠ Deps**: `deps` = execution order constraint; `context_from` = information flow. A task can have `context_from` without `deps` (it just reads previous findings but doesn't require them to be done first in its wave)
|
||||
5. **Concurrency Tuning**: `-c 1` for serial execution (maximum context sharing); `-c 8` for I/O-bound tasks
|
||||
|
||||
---
|
||||
|
||||
## Usage Recommendations
|
||||
### Scenario Recommendations
|
||||
|
||||
| Scenario | Recommended Approach |
|
||||
|----------|---------------------|
|
||||
@@ -903,4 +897,4 @@ Wave 3 agents:
|
||||
| Linear pipeline (A→B→C) | `$csv-wave-pipeline -c 1` — 3 waves, serial, full context |
|
||||
| Diamond dependency (A→B,C→D) | `$csv-wave-pipeline` — 3 waves, B+C concurrent in wave 2 |
|
||||
| Complex requirement, unclear tasks | Use `$roadmap-with-file` first for planning, then feed issues here |
|
||||
| Single complex task | Use `$workflow-lite-plan` instead |
|
||||
| Single complex task | Use `$workflow-lite-plan` instead |
|
||||
Reference in New Issue
Block a user