Claude-Code-Workflow workflow-execute
install
source · Clone the upstream repo
git clone https://github.com/catlog22/Claude-Code-Workflow
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/catlog22/Claude-Code-Workflow "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.codex/skills/workflow-execute" ~/.claude/skills/catlog22-claude-code-workflow-workflow-execute-2814f7 && rm -rf "$T"
manifest:
.codex/skills/workflow-execute/SKILL.mdsource content
Auto Mode
When
--yes or -y: Auto-select first session, auto-complete session after all tasks, skip all confirmations.
Workflow Execute
Usage
$workflow-execute $workflow-execute --yes $workflow-execute --resume-session=WFS-auth $workflow-execute -y --with-commit $workflow-execute -y -c 4 --with-commit $workflow-execute -y --with-commit --resume-session=WFS-auth
Flags:
: Skip all confirmations (auto mode)-y, --yes
: Max concurrent agents per wave (default: 4)-c, --concurrency N
: Resume specific session (skip Phase 1-2)--resume-session=ID
: Auto-commit after each task completion--with-commit
Overview
Autonomous execution pipeline using
spawn_agents_on_csv wave engine. Converts planning artifacts (IMPL-*.json + plan.json) into CSV for wave-based parallel execution, with full task JSON available via task_json_path column.
┌──────────────────────────────────────────────────────────────────┐ │ WORKFLOW EXECUTE PIPELINE │ ├──────────────────────────────────────────────────────────────────┤ │ │ │ Phase 1: Session Discovery │ │ ├─ Find active sessions │ │ ├─ Auto-select (1 session) or prompt (multiple) │ │ └─ Load session metadata │ │ │ │ Phase 2: Planning Document Validation │ │ ├─ Verify IMPL_PLAN.md exists │ │ ├─ Verify TODO_LIST.md exists │ │ └─ Verify .task/ contains IMPL-*.json │ │ │ │ Phase 3: JSON → CSV Conversion │ │ ├─ Read all IMPL-*.json + plan.json │ │ ├─ Skip already-completed tasks (resume support) │ │ ├─ Compute waves via Kahn's BFS (deps + plan hints) │ │ ├─ Generate tasks.csv (21 cols) + context.csv │ │ └─ Initialize discoveries.ndjson │ │ │ │ Phase 4: Wave Execute (spawn_agents_on_csv) │ │ ├─ Per wave: build prev_context → wave-{N}.csv │ │ ├─ spawn_agents_on_csv with execute instruction │ │ ├─ Merge results → tasks.csv + task JSON status │ │ ├─ Auto-commit per task (if --with-commit) │ │ └─ Cleanup temp wave CSVs │ │ │ │ Phase 5: Results Sync │ │ ├─ Export results.csv │ │ ├─ Reconcile TODO_LIST.md with tasks.csv status │ │ └─ User choice: Review | Complete Session │ │ │ │ Phase 6: Post-Implementation Review (Optional) │ │ ├─ Select review type (quality/security/architecture) │ │ ├─ CLI-assisted analysis │ │ └─ Generate REVIEW-{type}.md │ │ │ │ Resume Mode (--resume-session): │ │ └─ Skip Phase 1-2 → enter Phase 3 (skip completed tasks) │ │ │ └──────────────────────────────────────────────────────────────────┘
CSV Schemas
tasks.csv (21 columns)
id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context,status,findings,files_modified,tests_passed,acceptance_met,summary_path,error
| Column | Phase | Source | Description |
|---|---|---|---|
| Input | task.id | IMPL-001 etc |
| Input | task.title | Short title |
| Input | task.description | Full description |
| Input | meta.agent or inferred | @code-developer etc |
| Input | task.scope / focus_paths | File scope glob |
| Input | depends_on.join(';') | Dependency IDs (semicolon-separated) |
| Input | meta.execution_group | Parallel group identifier |
| Computed | deps + completed predecessors | Context source IDs |
| Computed | Kahn's BFS | Wave number (1-based) |
| Input | relative path | (agent reads full JSON) |
| Input | artifacts + pre_analysis refs | |
| Input | convergence.verification | Verification commands |
| Input | convergence.criteria.join | Acceptance conditions |
| Computed(per-wave) | context_from findings lookup | Predecessor task findings |
| Output | agent result | pending→completed/failed/skipped |
| Output | agent result | Key findings (max 500 chars) |
| Output | agent result | Modified files (semicolon-separated) |
| Output | agent result | true/false |
| Output | agent result | Acceptance status |
| Output | generated | .summaries/IMPL-X-summary.md |
| Output | agent result | Error message |
Key design:
task_json_path lets agents read the full task JSON (with pre_analysis, flow_control, convergence etc). CSV is "brief + execution state".
context.csv (4 columns)
key,type,value,source "tech_stack","array","TypeScript;React 18;Zustand","plan.json" "conventions","array","Use useIntl;Barrel exports","plan.json" "context_package_path","path",".process/context-package.json","session" "discoveries_path","path","discoveries.ndjson","session"
Injected into instruction template as static context — avoids each agent rediscovering project basics.
Session Structure
.workflow/active/WFS-{session}/ ├── workflow-session.json # Session state ├── plan.json # Structured plan (machine-readable) ├── IMPL_PLAN.md # Implementation plan (human-readable) ├── TODO_LIST.md # Progress tracking (Phase 5 sync) ├── tasks.csv # Phase 3 generated, Phase 4 updated ├── context.csv # Phase 3 generated ├── results.csv # Phase 5 exported ├── discoveries.ndjson # Phase 3 initialized, Phase 4 agents append ├── .task/ # Task definitions (unchanged) │ ├── IMPL-1.json │ └── IMPL-N.json ├── .summaries/ # Agent-generated summaries │ ├── IMPL-1-summary.md │ └── IMPL-N-summary.md ├── .process/context-package.json# Unchanged └── wave-{N}.csv # Phase 4 temporary (cleaned after each wave)
Implementation
Session Initialization
const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString() // Parse flags const AUTO_YES = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y') const withCommit = $ARGUMENTS.includes('--with-commit') const resumeMatch = $ARGUMENTS.match(/--resume-session[=\s]+(\S+)/) const resumeSessionId = resumeMatch ? resumeMatch[1] : null const isResumeMode = !!resumeSessionId const concurrencyMatch = $ARGUMENTS.match(/(?:--concurrency|-c)\s+(\d+)/) const maxConcurrency = concurrencyMatch ? parseInt(concurrencyMatch[1]) : 4
Phase 1: Session Discovery
Applies to: Normal mode only (skipped if
--resume-session).
let sessionId, sessionFolder if (isResumeMode) { sessionId = resumeSessionId sessionFolder = `.workflow/active/${sessionId}` // Skip to Phase 3 } else { const sessions = Bash(`ls -d .workflow/active/WFS-* 2>/dev/null`).trim().split('\n').filter(Boolean) if (sessions.length === 0) { console.log('ERROR: No active workflow sessions found.') console.log('Run $workflow-plan "task description" to create a session.') return } if (sessions.length === 1) { sessionFolder = sessions[0] sessionId = sessionFolder.split('/').pop() console.log(`Auto-selected session: ${sessionId}`) } else { if (AUTO_YES) { sessionFolder = sessions[0] sessionId = sessionFolder.split('/').pop() console.log(`[--yes] Auto-selected: ${sessionId}`) } else { const sessionInfos = sessions.slice(0, 4).map(s => { const id = s.split('/').pop() const total = parseInt(Bash(`grep -c '^- \\[' "${s}/TODO_LIST.md" 2>/dev/null || echo 0`).trim()) || 0 const done = parseInt(Bash(`grep -c '^- \\[x\\]' "${s}/TODO_LIST.md" 2>/dev/null || echo 0`).trim()) || 0 return { id, path: s, progress: `${done}/${total} tasks` } }) const answer = functions.request_user_input({ questions: [{ header: "Session", id: "session", question: "Select session to execute.", options: sessionInfos.map(s => ({ label: s.id, description: s.progress })) }] }) sessionId = answer.answers.session.answers[0] sessionFolder = `.workflow/active/${sessionId}` } } }
Phase 2: Planning Document Validation
Applies to: Normal mode only.
if (!isResumeMode) { const checks = { 'IMPL_PLAN.md': Bash(`test -f "${sessionFolder}/IMPL_PLAN.md" && echo yes`).trim() === 'yes', 'TODO_LIST.md': Bash(`test -f "${sessionFolder}/TODO_LIST.md" && echo yes`).trim() === 'yes', '.task/ has files': parseInt(Bash(`ls ${sessionFolder}/.task/IMPL-*.json 2>/dev/null | wc -l`).trim()) > 0 } const missing = Object.entries(checks).filter(([_, ok]) => !ok).map(([name]) => name) if (missing.length > 0) { console.log(`ERROR: Missing planning documents: ${missing.join(', ')}`) console.log(`Run $workflow-plan --session ${sessionId} to generate plan.`) return } console.log(`Planning documents validated.`) }
Phase 3: JSON → CSV Conversion
Applies to: Both normal and resume modes (resume entry point).
Objective: Convert IMPL-*.json + plan.json into tasks.csv + context.csv with computed waves.
console.log(`\n## Phase 3: JSON → CSV Conversion\n`) // Update session status to active Bash(`cd "${sessionFolder}" && jq '.status = "active" | .execution_started_at = (.execution_started_at // "'"$(date -Iseconds)"'")' workflow-session.json > tmp.json && mv tmp.json workflow-session.json 2>/dev/null || true`) Bash(`mkdir -p "${sessionFolder}/.summaries"`) // 3.1: Read all IMPL-*.json const taskFiles = Bash(`ls ${sessionFolder}/.task/IMPL-*.json 2>/dev/null`).trim().split('\n').filter(Boolean) if (taskFiles.length === 0) { console.log('ERROR: No task JSONs found in .task/') return } const taskJsons = taskFiles.map(f => { const content = Read(f) const json = JSON.parse(content) json._filePath = f // Fallback: derive id from filename if missing if (!json.id) { json.id = f.split('/').pop().replace('.json', '') } return json }) // 3.2: Skip completed tasks (resume support) const todoContent = Read(`${sessionFolder}/TODO_LIST.md`) const completedIds = new Set() const todoLines = todoContent.match(/^- \[x\] (IMPL-\d+(?:\.\d+)?)/gm) || [] todoLines.forEach(line => { const match = line.match(/IMPL-\d+(?:\.\d+)?/) if (match) completedIds.add(match[0]) }) // Also check task JSON status field taskJsons.forEach(tj => { if (tj.status === 'completed') completedIds.add(tj.id) }) const pendingJsons = taskJsons.filter(tj => !completedIds.has(tj.id)) console.log(` Total tasks: ${taskJsons.length}`) console.log(` Already completed: ${completedIds.size}`) console.log(` Pending: ${pendingJsons.length}`) if (pendingJsons.length === 0) { console.log(`\nAll tasks already completed. Proceeding to Phase 5.`) // → Jump to Phase 5 } // 3.3: Read plan.json for execution hints const planJsonPath = `${sessionFolder}/plan.json` const planJsonExists = Bash(`test -f "${planJsonPath}" && echo yes`).trim() === 'yes' const planJson = planJsonExists ? JSON.parse(Read(planJsonPath) || '{}') : {} // 3.4: Extract fields from task JSONs (handles two schema variants) function resolveAgent(tj) { if (tj.meta?.agent) return tj.meta.agent const typeMap = { 'feature': 'code-developer', 'test-gen': 'code-developer', 'test-fix': 'test-fix-agent', 'review': 'universal-executor', 'docs': 'doc-generator' } return typeMap[tj.meta?.type] || 'code-developer' } function extractDeps(tj) { return tj.depends_on || tj.context?.depends_on || [] } function buildHints(tj) { const tips = [] const files = [] // Gather artifact references if (tj.artifacts) { tj.artifacts.forEach(a => { if (a.path) files.push(a.path) }) } // Gather pre_analysis Read references if (tj.pre_analysis) { tj.pre_analysis.forEach(step => { if (step.tool === 'Read' && step.path) files.push(step.path) }) } // Gather tips from meta or context if (tj.meta?.hints) tips.push(tj.meta.hints) if (tj.context?.tips) tips.push(tj.context.tips) const tipsStr = tips.join('; ') const filesStr = files.join(';') if (tipsStr && filesStr) return `${tipsStr} || ${filesStr}` if (tipsStr) return tipsStr if (filesStr) return `|| ${filesStr}` return '' } function extractDirectives(tj) { if (tj.convergence?.verification) { return Array.isArray(tj.convergence.verification) ? tj.convergence.verification.join('; ') : tj.convergence.verification } if (tj.execution_config?.verification_command) return tj.execution_config.verification_command return '' } function extractAcceptance(tj) { if (tj.convergence?.criteria) { return Array.isArray(tj.convergence.criteria) ? tj.convergence.criteria.join('; ') : tj.convergence.criteria } if (tj.context?.acceptance) { return Array.isArray(tj.context.acceptance) ? tj.context.acceptance.join('; ') : tj.context.acceptance } return '' } function extractScope(tj) { if (tj.scope) return tj.scope if (tj.focus_paths) { return Array.isArray(tj.focus_paths) ? tj.focus_paths.join(';') : tj.focus_paths } return '' } // Build task rows (all tasks — completed ones carry status forward) const taskRows = taskJsons.map(tj => ({ id: tj.id, title: tj.title || '', description: tj.description || '', agent: resolveAgent(tj), scope: extractScope(tj), deps: extractDeps(tj).join(';'), execution_group: tj.meta?.execution_group || '', context_from: '', // computed after wave assignment task_json_path: `.task/${tj.id}.json`, hints: buildHints(tj), execution_directives: extractDirectives(tj), acceptance_criteria: extractAcceptance(tj), prev_context: '', // computed per-wave in Phase 4 status: completedIds.has(tj.id) ? 'completed' : 'pending', findings: '', files_modified: '', tests_passed: '', acceptance_met: '', summary_path: `.summaries/${tj.id}-summary.md`, error: '' })) // 3.5: Compute waves via Kahn's BFS with plan.json hints function computeWaves(rows, planJson) { const taskMap = new Map(rows.map(r => [r.id, r])) const inDegree = new Map(rows.map(r => [r.id, 0])) const adjList = new Map(rows.map(r => [r.id, []])) for (const row of rows) { const deps = row.deps.split(';').filter(Boolean) for (const dep of deps) { if (taskMap.has(dep)) { adjList.get(dep).push(row.id) inDegree.set(row.id, inDegree.get(row.id) + 1) } } } // BFS const queue = [] const waveMap = new Map() for (const [id, deg] of inDegree) { if (deg === 0) { queue.push([id, 1]) waveMap.set(id, 1) } } let maxWave = 1 let idx = 0 while (idx < queue.length) { const [current, depth] = queue[idx++] for (const next of adjList.get(current)) { const newDeg = inDegree.get(next) - 1 inDegree.set(next, newDeg) const nextDepth = Math.max(waveMap.get(next) || 0, depth + 1) waveMap.set(next, nextDepth) if (newDeg === 0) { queue.push([next, nextDepth]) maxWave = Math.max(maxWave, nextDepth) } } } // Check for unassigned (circular deps) for (const row of rows) { if (!waveMap.has(row.id)) { console.log(`WARNING: Circular dependency involving ${row.id}, assigning to wave ${maxWave + 1}`) waveMap.set(row.id, maxWave + 1) maxWave = maxWave + 1 } } // Apply plan.json execution_graph hints if available if (planJson.execution_graph?.phases) { planJson.execution_graph.phases.forEach((phase, idx) => { const phaseWave = idx + 1 const taskIds = phase.tasks || phase.task_ids || [] taskIds.forEach(id => { if (waveMap.has(id)) { // Only shift to later wave (never earlier — respect deps) if (phaseWave > waveMap.get(id)) { waveMap.set(id, phaseWave) } } }) }) maxWave = Math.max(maxWave, ...waveMap.values()) } return { waveMap, maxWave } } const { waveMap, maxWave } = computeWaves(taskRows, planJson) // Assign wave + context_from taskRows.forEach(row => { row.wave = waveMap.get(row.id) || 1 // context_from = deps + already-completed IDs for resume context const depIds = row.deps.split(';').filter(Boolean) const contextIds = [...new Set([...depIds, ...[...completedIds].filter(id => id !== row.id)])] row.context_from = contextIds.join(';') }) // 3.6: Write tasks.csv function csvEscape(val) { return `"${String(val).replace(/"/g, '""')}"` } const tasksCsvHeader = 'id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context,status,findings,files_modified,tests_passed,acceptance_met,summary_path,error' const tasksCsvRows = taskRows.map(r => [r.id, r.title, r.description, r.agent, r.scope, r.deps, r.execution_group, r.context_from, r.wave, r.task_json_path, r.hints, r.execution_directives, r.acceptance_criteria, r.prev_context, r.status, r.findings, r.files_modified, r.tests_passed, r.acceptance_met, r.summary_path, r.error] .map(csvEscape).join(',') ) Write(`${sessionFolder}/tasks.csv`, [tasksCsvHeader, ...tasksCsvRows].join('\n')) // 3.7: Write context.csv const contextRows = ['key,type,value,source'] if (planJson.tech_stack) { const stack = Array.isArray(planJson.tech_stack) ? planJson.tech_stack.join(';') : planJson.tech_stack contextRows.push(`"tech_stack","array","${stack}","plan.json"`) } if (planJson.conventions) { const conv = Array.isArray(planJson.conventions) ? planJson.conventions.join(';') : planJson.conventions contextRows.push(`"conventions","array","${conv}","plan.json"`) } const ctxPkgExists = Bash(`test -f "${sessionFolder}/.process/context-package.json" && echo yes`).trim() === 'yes' if (ctxPkgExists) { contextRows.push(`"context_package_path","path",".process/context-package.json","session"`) } contextRows.push(`"discoveries_path","path","discoveries.ndjson","session"`) Write(`${sessionFolder}/context.csv`, contextRows.join('\n')) // 3.8: Initialize discoveries.ndjson Bash(`touch "${sessionFolder}/discoveries.ndjson"`) // 3.9: User validation (skip if AUTO_YES) if (!AUTO_YES) { const pendingRows = taskRows.filter(r => r.status === 'pending') console.log(`\n## Wave Execution Plan\n`) console.log(` Tasks: ${pendingRows.length} pending across ${maxWave} waves\n`) for (let w = 1; w <= maxWave; w++) { const waveTasks = pendingRows.filter(r => r.wave === w) if (waveTasks.length === 0) continue console.log(` Wave ${w}: ${waveTasks.map(t => `${t.id}(${t.agent})`).join(', ')}`) } const answer = functions.request_user_input({ questions: [{ header: "Confirm", id: "confirm_execute", question: `Proceed with ${pendingRows.length} tasks across ${maxWave} waves?`, options: [ { label: "Execute (Recommended)", description: "Proceed with wave execution" }, { label: "Modify", description: `Edit ${sessionFolder}/tasks.csv then --resume-session` }, { label: "Cancel", description: "Abort" } ] }] }) if (answer.answers.confirm_execute.answers[0] === "Modify") { console.log(`Edit: ${sessionFolder}/tasks.csv\nResume: $workflow-execute --resume-session=${sessionId}`) return } else if (answer.answers.confirm_execute.answers[0] === "Cancel") { return } } console.log(`\n tasks.csv: ${taskRows.length} rows (${pendingJsons.length} pending)`) console.log(` context.csv: ${contextRows.length - 1} entries`) console.log(` Wave plan: ${maxWave} waves`)
Phase 4: Wave Execute (spawn_agents_on_csv)
Objective: Execute tasks wave-by-wave via
spawn_agents_on_csv. Each wave builds prev_context from completed predecessors.
console.log(`\n## Phase 4: Wave Execute\n`) // Determine concurrency from plan.json or flag let effectiveConcurrency = maxConcurrency if (planJson.recommended_execution === 'Sequential') { effectiveConcurrency = 1 console.log(` Sequential mode (from plan.json), concurrency: 1`) } else { console.log(` Parallel mode, concurrency: ${effectiveConcurrency}`) } // Read context.csv for instruction injection const contextCsvContent = Read(`${sessionFolder}/context.csv`) const contextEntries = parseCsv(contextCsvContent) const contextBlock = contextEntries.map(e => `- **${e.key}** (${e.type}): ${e.value}`).join('\n') const failedIds = new Set() const skippedIds = new Set() for (let wave = 1; wave <= maxWave; wave++) { console.log(`\n### Wave ${wave}/${maxWave}\n`) // Re-read master CSV for current state const masterCsv = parseCsv(Read(`${sessionFolder}/tasks.csv`)) const waveTasks = masterCsv.filter(row => parseInt(row.wave) === wave && row.status === 'pending' ) if (waveTasks.length === 0) { console.log(` No pending tasks in wave ${wave}`) continue } // Skip tasks whose deps failed/skipped const executableTasks = [] for (const task of waveTasks) { const deps = (task.deps || '').split(';').filter(Boolean) if (deps.some(d => failedIds.has(d) || skippedIds.has(d))) { skippedIds.add(task.id) updateMasterCsvRow(`${sessionFolder}/tasks.csv`, task.id, { status: 'skipped', error: 'Dependency failed or skipped' }) console.log(` [${task.id}] ${task.title} → SKIPPED (dependency failed)`) continue } executableTasks.push(task) } if (executableTasks.length === 0) { console.log(` No executable tasks in wave ${wave}`) continue } // Build prev_context for each task for (const task of executableTasks) { task.prev_context = buildPrevContext(task.context_from, masterCsv) } // Write wave CSV (input columns + prev_context) const waveHeader = 'id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context' const waveRows = executableTasks.map(t => [t.id, t.title, t.description, t.agent, t.scope, t.deps, t.execution_group, t.context_from, t.wave, t.task_json_path, t.hints, t.execution_directives, t.acceptance_criteria, t.prev_context] .map(cell => `"${String(cell).replace(/"/g, '""')}"`) .join(',') ) Write(`${sessionFolder}/wave-${wave}.csv`, [waveHeader, ...waveRows].join('\n')) // Execute wave console.log(` Executing ${executableTasks.length} tasks (concurrency: ${effectiveConcurrency})...`) spawn_agents_on_csv({ csv_path: `${sessionFolder}/wave-${wave}.csv`, id_column: "id", instruction: buildExecuteInstruction(sessionFolder, contextBlock), max_concurrency: effectiveConcurrency, max_runtime_seconds: 600, output_csv_path: `${sessionFolder}/wave-${wave}-results.csv`, output_schema: { type: "object", properties: { id: { type: "string" }, status: { type: "string", enum: ["completed", "failed"] }, findings: { type: "string" }, files_modified: { type: "array", items: { type: "string" } }, tests_passed: { type: "boolean" }, acceptance_met: { type: "string" }, error: { type: "string" } }, required: ["id", "status", "findings", "tests_passed"] } }) // Merge results into master CSV + update task JSONs const waveResults = parseCsv(Read(`${sessionFolder}/wave-${wave}-results.csv`)) for (const result of waveResults) { const filesModified = Array.isArray(result.files_modified) ? result.files_modified.join(';') : (result.files_modified || '') updateMasterCsvRow(`${sessionFolder}/tasks.csv`, result.id, { status: result.status, findings: result.findings || '', files_modified: filesModified, tests_passed: String(result.tests_passed ?? ''), acceptance_met: result.acceptance_met || '', error: result.error || '' }) // Update task JSON status if (result.status === 'completed' || result.status === 'failed') { Bash(`cd "${sessionFolder}/.task" && jq '.status="${result.status}" | .status_history=(.status_history // [])+[{"from":"in_progress","to":"${result.status}","changed_at":"'"$(date -Iseconds)"'"}]' "${result.id}.json" > tmp.json && mv tmp.json "${result.id}.json" 2>/dev/null || true`) } if (result.status === 'failed') { failedIds.add(result.id) console.log(` [${result.id}] → FAILED: ${result.error}`) } else { console.log(` [${result.id}] → COMPLETED${result.tests_passed ? ' (tests passed)' : ''}`) } // Auto-commit per completed task if (withCommit && result.status === 'completed' && filesModified) { const files = filesModified.split(';').filter(Boolean) if (files.length > 0) { const taskJson = JSON.parse(Read(`${sessionFolder}/.task/${result.id}.json`) || '{}') const typeMap = { feature: 'feat', bugfix: 'fix', refactor: 'refactor', 'test-gen': 'test', docs: 'docs' } const type = typeMap[taskJson.meta?.type] || 'chore' const title = taskJson.title || result.id const msg = `${type}: ${title}` Bash(`git add ${files.map(f => '"' + f + '"').join(' ')} && git commit -m "${msg}" 2>/dev/null || true`) console.log(` Committed: ${msg}`) } } } // Cleanup temp wave CSVs Bash(`rm -f "${sessionFolder}/wave-${wave}.csv" "${sessionFolder}/wave-${wave}-results.csv"`) const completedCount = waveResults.filter(r => r.status === 'completed').length const failedCount = waveResults.filter(r => r.status === 'failed').length console.log(` Wave ${wave} done: ${completedCount} completed, ${failedCount} failed`) }
prev_context Builder
function buildPrevContext(contextFrom, masterCsv) { if (!contextFrom) return 'No previous context available' const ids = contextFrom.split(';').filter(Boolean) const entries = [] ids.forEach(id => { const row = masterCsv.find(r => r.id === id) if (row && row.status === 'completed' && row.findings) { entries.push(`[${row.id}: ${row.title}] ${row.findings}`) if (row.files_modified) entries.push(` Modified: ${row.files_modified}`) } }) return entries.length > 0 ? entries.join('\n') : 'No previous context available' }
Execute Instruction Template
function buildExecuteInstruction(sessionFolder, contextBlock) { return ` ## TASK ASSIGNMENT ### MANDATORY FIRST STEPS 1. Read your FULL task JSON: ${sessionFolder}/{task_json_path} - CSV row is a brief — task JSON has pre_analysis, flow_control, convergence, and full context 2. Read shared discoveries: ${sessionFolder}/discoveries.ndjson (if exists) 3. Read project context: .workflow/project-tech.json (if exists) --- ## Your Task **Task ID**: {id} **Title**: {title} **Description**: {description} **Agent Type**: {agent} **Scope**: {scope} ### Task JSON (full details) Read: ${sessionFolder}/{task_json_path} ### Implementation Hints & Reference Files {hints} > Format: \`tips text || file1;file2\`. Read ALL reference files (after ||) before starting. Apply tips (before ||) as guidance. ### Execution Directives {execution_directives} > Commands to run for verification, tool restrictions, or environment requirements. ### Acceptance Criteria {acceptance_criteria} ### Previous Context (from predecessor tasks) {prev_context} ### Project Context ${contextBlock} --- ## Execution Protocol 1. **Read task JSON**: Load ${sessionFolder}/{task_json_path} for full task details including pre_analysis steps and flow_control 2. **Check execution method**: If task JSON has \`execution_config.method\`, follow it (agent vs cli mode) 3. **Execute pre_analysis**: If task JSON has \`pre_analysis\` steps, run them first to gather context 4. **Read references**: Parse {hints} — read all files listed after \`||\` to understand existing patterns 5. **Read discoveries**: Load ${sessionFolder}/discoveries.ndjson for shared findings 6. **Use context**: Apply predecessor tasks' findings from prev_context above 7. **Stay in scope**: ONLY create/modify files within {scope} — do NOT touch files outside this boundary 8. **Apply hints**: Follow implementation tips from {hints} (before \`||\`) 9. **Execute**: Implement the task as described in the task JSON 10. **Generate summary**: Write execution summary to ${sessionFolder}/.summaries/{id}-summary.md with sections: ## Summary, ## Files Modified (as \`- \\\`path\\\`\` list), ## Key Decisions, ## Tests 11. **Run directives**: Execute commands from {execution_directives} to verify your work 12. **Update TODO**: In ${sessionFolder}/TODO_LIST.md, change \`- [ ] {id}\` to \`- [x] {id}\` 13. **Share discoveries**: Append findings to shared board: \`\`\`bash echo '{"ts":"<ISO8601>","worker":"{id}","type":"<type>","data":{...}}' >> ${sessionFolder}/discoveries.ndjson \`\`\` 14. **Report result**: Return JSON via report_agent_job_result ### Discovery Types to Share - \`code_pattern\`: {name, file, description} — reusable patterns found - \`integration_point\`: {file, description, exports[]} — module connection points - \`convention\`: {naming, imports, formatting} — code style conventions - \`blocker\`: {issue, severity, impact} — blocking issues encountered --- ## Output (report_agent_job_result) Return JSON: { "id": "{id}", "status": "completed" | "failed", "findings": "Key discoveries and implementation notes (max 500 chars)", "files_modified": ["path1", "path2"], "tests_passed": true | false, "acceptance_met": "Summary of which acceptance criteria were met/unmet", "error": "" } **IMPORTANT**: Set status to "completed" ONLY if: - All acceptance criteria are met - Verification directives pass (if any) Otherwise set status to "failed" with details in error field. ` }
Phase 5: Results Sync
Objective: Export results, reconcile TODO_LIST.md, update session status.
console.log(`\n## Phase 5: Results Sync\n`) // 5.1: Export results.csv (final copy of tasks.csv) const finalCsvContent = Read(`${sessionFolder}/tasks.csv`) Write(`${sessionFolder}/results.csv`, finalCsvContent) // 5.2: Reconcile TODO_LIST.md with tasks.csv status const finalTasks = parseCsv(finalCsvContent) let todoMd = Read(`${sessionFolder}/TODO_LIST.md`) for (const task of finalTasks) { if (task.status === 'completed') { // Ensure marked as [x] in TODO_LIST.md const uncheckedPattern = new RegExp(`^(- \\[ \\] ${task.id.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}(:.*)?)$`, 'm') todoMd = todoMd.replace(uncheckedPattern, (match, line) => line.replace('- [ ]', '- [x]')) } } Write(`${sessionFolder}/TODO_LIST.md`, todoMd) // 5.3: Summary const completed = finalTasks.filter(t => t.status === 'completed') const failed = finalTasks.filter(t => t.status === 'failed') const skipped = finalTasks.filter(t => t.status === 'skipped') const pending = finalTasks.filter(t => t.status === 'pending') console.log(` Results:`) console.log(` Completed: ${completed.length}`) console.log(` Failed: ${failed.length}`) console.log(` Skipped: ${skipped.length}`) console.log(` Pending: ${pending.length}`) // 5.4: Update session status const allDone = failed.length === 0 && skipped.length === 0 && pending.length === 0 const sessionStatus = allDone ? 'completed' : 'partial' Bash(`cd "${sessionFolder}" && jq '.status = "${sessionStatus}" | .completed_at = "'"$(date -Iseconds)"'"' workflow-session.json > tmp.json && mv tmp.json workflow-session.json 2>/dev/null || true`) // 5.5: User next step if (AUTO_YES) { console.log(` [--yes] Session ${sessionId} ${sessionStatus}.`) } else { const nextStep = functions.request_user_input({ questions: [{ header: "Next Step", id: "next_step", question: "Execution complete. What is next?", options: [ { label: "Enter Review (Recommended)", description: "Run post-implementation review (security/quality/architecture)" }, { label: "Complete Session", description: "Archive session and finalize" } ] }] }) if (nextStep.answers.next_step.answers[0] === 'Enter Review (Recommended)') { // → Phase 6 } else { console.log(` Session ${sessionId} ${sessionStatus}.`) } }
Phase 6: Post-Implementation Review (Optional)
Objective: CLI-assisted specialized review of implemented code.
// Phase 6 entry (from Phase 5 "Enter Review" or direct invocation) console.log(`\n## Phase 6: Post-Implementation Review\n`) const reviewType = AUTO_YES ? 'quality' : (() => { const answer = functions.request_user_input({ questions: [{ header: "Review Type", id: "review_type", question: "Select review type.", options: [ { label: "Quality (Recommended)", description: "Code quality, best practices, maintainability" }, { label: "Security", description: "Security vulnerabilities, OWASP Top 10" }, { label: "Architecture", description: "Architecture decisions, scalability, patterns" } ] }] }) return answer.answers.review_type.answers[0].toLowerCase() })() // Get list of modified files from tasks.csv const reviewTasks = parseCsv(Read(`${sessionFolder}/tasks.csv`)) const allModifiedFiles = new Set() reviewTasks.forEach(t => { (t.files_modified || '').split(';').filter(Boolean).forEach(f => allModifiedFiles.add(f)) }) const fileList = [...allModifiedFiles].join(', ') Bash({ command: `ccw cli -p "PURPOSE: Post-implementation ${reviewType} review of modified files. Identify issues and generate actionable report. TASK: • Review all modified files for ${reviewType} concerns • Assess overall ${reviewType} posture • Generate prioritized issue list with severity • Provide remediation recommendations MODE: analysis CONTEXT: @${[...allModifiedFiles].map(f => f).join(' @')} EXPECTED: Structured ${reviewType} review report with: summary, issue list (severity, file, line, description, fix), overall score CONSTRAINTS: Focus on ${reviewType} | Review only modified files: ${fileList}" --tool gemini --mode analysis --rule analysis-review-code-quality`, run_in_background: true }) // Wait for CLI → review report Write(`${sessionFolder}/REVIEW-${reviewType}.md`, reviewReport) console.log(` Review complete: ${sessionFolder}/REVIEW-${reviewType}.md`) // Post-review options if (!AUTO_YES) { const postReview = functions.request_user_input({ questions: [{ header: "Post Review", id: "post_review", question: "Review complete. What is next?", options: [ { label: "Complete Session (Recommended)", description: "Archive and finalize" }, { label: "Another Review", description: "Run a different review type" } ] }] }) if (postReview.answers.post_review.answers[0] === 'Another Review') { // Loop back to Phase 6 review type selection } } console.log(`\nSession ${sessionId} execution complete.`)
CSV Helpers
function parseCsv(content) { const lines = content.trim().split('\n') if (lines.length < 2) return [] const header = parseCsvLine(lines[0]) return lines.slice(1).map(line => { const cells = parseCsvLine(line) const obj = {} header.forEach((col, i) => { obj[col] = cells[i] || '' }) return obj }) } function parseCsvLine(line) { const cells = [] let current = '' let inQuotes = false for (let i = 0; i < line.length; i++) { const ch = line[i] if (inQuotes) { if (ch === '"' && line[i + 1] === '"') { current += '"' i++ } else if (ch === '"') { inQuotes = false } else { current += ch } } else { if (ch === '"') { inQuotes = true } else if (ch === ',') { cells.push(current) current = '' } else { current += ch } } } cells.push(current) return cells } function updateMasterCsvRow(csvPath, taskId, updates) { const content = Read(csvPath) const lines = content.split('\n') const header = parseCsvLine(lines[0]) for (let i = 1; i < lines.length; i++) { const cells = parseCsvLine(lines[i]) if (cells[0] === taskId) { for (const [col, val] of Object.entries(updates)) { const colIdx = header.indexOf(col) if (colIdx >= 0) { cells[colIdx] = String(val).replace(/"/g, '""') } } lines[i] = cells.map(c => `"${c}"`).join(',') break } } Write(csvPath, lines.join('\n')) } function csvEscape(val) { return `"${String(val).replace(/"/g, '""')}"` }
Agent Assignment Rules
meta.agent specified → Use specified agent file meta.agent missing → Infer from meta.type: feature → code-developer test-gen → code-developer test-fix → test-fix-agent review → universal-executor docs → doc-generator default → code-developer
Error Handling
| Error | Recovery |
|---|---|
| No active sessions | Guide: run first |
| Missing planning docs | Guide: run |
| Agent failure | Mark failed in tasks.csv, skip dependents, continue wave |
| Dependency cascade | Skip dependent tasks, report at Phase 5 |
| CSV parse error | Validate CSV format, report line number |
| Task JSON corruption | Skip task, mark failed in CSV |
| Commit failure | Log error, continue execution (non-blocking) |
| Circular dependency | Warn and assign to last wave |
| All wave tasks skipped | Log and continue to next wave |
Core Rules
- Wave Order is Sacred: Never execute wave N before wave N-1 completes and results merge
- CSV is Execution State: tasks.csv holds all execution state — always re-read before each wave
- Task JSON is Rich Data: agents read full task JSON via
— CSV is brieftask_json_path - Skip on Failure: If a dependency failed, skip the dependent task (cascade)
- Cleanup Temp Files: Remove wave CSVs after results are merged
- TODO_LIST.md Sync: Phase 5 reconciles TODO_LIST.md with tasks.csv final state
- Discovery Board is Append-Only: Never clear, modify, or recreate discoveries.ndjson
- DO NOT STOP: Continuous execution until all waves complete or all remaining tasks are skipped
- Planning Artifacts Unchanged: IMPL-*.json, plan.json, IMPL_PLAN.md formats are preserved
Compact Protection
COMPACT DIRECTIVE: If context compression occurs during execution:
- Re-read
for current execution state (source of truth)tasks.csv- Re-read
for progress displayTODO_LIST.md- Re-read
for execution hints (concurrency, phases)plan.json- Task JSONs are read per-wave via
, compression has minimal impacttask_json_path- Wave loop state (
,failedIds,skippedIds) can be reconstructed from tasks.csv status columnwave