csv-wave-pipeline

name	csv-wave-pipeline
description	Requirement planning to wave-based CSV execution pipeline. Decomposes requirement into dependency-sorted CSV tasks, computes execution waves, runs wave-by-wave via spawn_agents_on_csv with cross-wave context propagation.
argument-hint	[-y|--yes] [-c|--concurrency N] [--continue] "requirement description"
allowed-tools	spawn_agents_on_csv, Read, Write, Edit, Bash, Glob, Grep, request_user_input

Auto Mode

When --yes or -y: Auto-confirm task decomposition, skip interactive validation, use defaults.

CSV Wave Pipeline

Usage

$csv-wave-pipeline "Implement user authentication with OAuth, JWT, and 2FA"
$csv-wave-pipeline -c 4 "Refactor payment module with Stripe and PayPal"
$csv-wave-pipeline -y "Build notification system with email and SMS"
$csv-wave-pipeline --continue "auth-20260228"

Flags:

• -y, --yes: Skip all confirmations (auto mode)
• -c, --concurrency N: Max concurrent agents within each wave (default: 4)
• --continue: Resume existing session

---

Overview

Wave-based batch execution using spawn_agents_on_csv with cross-wave context propagation. Tasks are grouped into dependency waves; each wave executes concurrently, and its results feed into the next wave.

Core workflow: Decompose → Compute Waves → Execute Wave-by-Wave → Aggregate

Phase 1: Requirement → CSV
   ├─ Parse requirement into subtasks (3-10 tasks)
   ├─ Identify dependencies (deps column)
   ├─ Compute dependency waves (topological sort → depth grouping)
   ├─ Generate tasks.csv with wave column
   └─ User validates task breakdown (skip if -y)

Phase 2: Wave Execution Engine
   ├─ For each wave (1..N):
   │   ├─ Build wave CSV (filter rows for this wave)
   │   ├─ Inject previous wave findings into prev_context column
   │   ├─ spawn_agents_on_csv(wave CSV)
   │   ├─ Collect results, merge into master tasks.csv
   │   └─ Check: any failed? → skip dependents or retry
   └─ discoveries.ndjson shared across all waves (append-only)

Phase 3: Results Aggregation
   ├─ Export final results.csv
   ├─ Generate context.md with all findings
   ├─ Display summary: completed/failed/skipped per wave
   └─ Offer: view results | retry failed | done

Context Propagation

Two context channels flow across waves:

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

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: same pattern, accumulated context from all prior waves

---

Session & Output Structure

.workflow/.csv-wave/{session-id}/
├── tasks.csv                  # Master state (updated per wave)
├── results.csv                # Final results export (Phase 3)
├── discoveries.ndjson         # Shared discovery board (all agents, append-only)
├── context.md                 # Human-readable report (Phase 3)
├── wave-{N}.csv               # Temporary per-wave input (cleaned up after merge)
└── wave-{N}-results.csv       # Temporary per-wave output (cleaned up after merge)

File	Purpose	Lifecycle
tasks.csv	Master state — all tasks with status/findings	Updated after each wave
wave-{N}.csv	Per-wave input with prev_context column	Created before wave, deleted after
wave-{N}-results.csv	Per-wave output from spawn_agents_on_csv	Created during wave, deleted after merge
results.csv	Final export of all task results	Created in Phase 3
discoveries.ndjson	Shared exploration board across all agents	Append-only, carries across waves
context.md	Human-readable execution report	Created in Phase 3

---

CSV Schema

tasks.csv (Master State)

id,title,description,test,acceptance_criteria,scope,hints,execution_directives,deps,context_from,wave,status,findings,files_modified,tests_passed,acceptance_met,error
"1","Setup auth module","Create auth directory structure and base files","Verify directory exists and base files export expected interfaces","auth/ dir created; index.ts and types.ts export AuthProvider interface","src/auth/**","Follow monorepo module pattern || package.json;src/shared/types.ts","","","","1","","","","","",""
"2","Implement OAuth","Add OAuth provider integration with Google and GitHub","Unit test: mock OAuth callback returns valid token; Integration test: verify redirect URL generation","OAuth login redirects to provider; callback returns JWT; supports Google and GitHub","src/auth/oauth/**","Use passport.js strategy pattern || src/auth/index.ts;docs/oauth-flow.md","Run npm test -- --grep oauth before completion","1","1","2","","","","","",""
"3","Add JWT tokens","Implement JWT generation and validation","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","","","","","",""
"4","Setup 2FA","Add TOTP-based 2FA with QR code generation","Unit test: TOTP verify with correct code; Test: QR data URL is valid","QR code generates scannable image; TOTP verification succeeds within time window","src/auth/2fa/**","Use speakeasy + qrcode libraries || src/auth/oauth/strategy.ts;src/auth/jwt/token.ts","Run full test suite: npm test","2;3","1;2;3","3","","","","","",""

Columns:

Column	Phase	Description
id	Input	Unique task identifier (string)
title	Input	Short task title
description	Input	Detailed task description — what to implement
test	Input	Test cases: what tests to write and how to verify (unit/integration/edge)
acceptance_criteria	Input	Acceptance criteria: measurable conditions that define "done"
scope	Input	Target file/directory glob — constrains agent work area, prevents cross-task file conflicts
hints	Input	Implementation tips + reference files. Format: tips text || file1;file2. Before || = how to implement; after || = existing files to read before starting. Either part is optional
execution_directives	Input	Execution constraints: commands to run for verification, tool restrictions, environment requirements
deps	Input	Semicolon-separated dependency task IDs (empty = no deps)
context_from	Input	Semicolon-separated task IDs whose findings this task needs
wave	Computed	Wave number (computed by topological sort, 1-based)
status	Output	pending → completed / failed / skipped
findings	Output	Key discoveries or implementation notes (max 500 chars)
files_modified	Output	Semicolon-separated file paths
tests_passed	Output	Whether all defined test cases passed (true/false)

Per-Wave CSV (Temporary)

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:

id,title,description,test,acceptance_criteria,scope,hints,execution_directives,deps,context_from,wave,prev_context
"2","Implement OAuth","Add OAuth integration","Unit test: mock OAuth callback returns valid token","OAuth login redirects to provider; callback returns JWT","src/auth/oauth/**","Use passport.js strategy pattern || src/auth/index.ts;docs/oauth-flow.md","Run npm test -- --grep oauth","1","1","2","[Task 1] Created auth/ with index.ts and types.ts"
"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"

---

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:

{"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

---

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 continueMode = $ARGUMENTS.includes('--continue')
const concurrencyMatch = $ARGUMENTS.match(/(?:--concurrency|-c)\s+(\d+)/)
const maxConcurrency = concurrencyMatch ? parseInt(concurrencyMatch[1]) : 4

// Clean requirement text (remove flags — word-boundary safe)
const requirement = $ARGUMENTS
  .replace(/--yes|(?:^|\s)-y(?=\s|$)|--continue|--concurrency\s+\d+|-c\s+\d+/g, '')
  .trim()

let sessionId, sessionFolder

const slug = requirement.toLowerCase()
  .replace(/[^a-z0-9\u4e00-\u9fa5]+/g, '-')
  .substring(0, 40)
const dateStr = getUtc8ISOString().substring(0, ).(, )
sessionId = 
sessionFolder = 


 (continueMode) {
   existing = ().()
   (existing) {
    sessionId = existing
    sessionFolder = 
    
     existingCsv = ()
    
  }
}

()

Upstream Handoff Intake (Optional)

csv-wave-pipeline can receive structured context from analyze-with-file or workflow-lite-plan via handoff.json:

// Check if requirement references a prior analysis session
const handoffPathMatch = requirement.match(/handoff:(.+\.json)/)
let handoffContext = null

if (handoffPathMatch) {
  const handoffPath = handoffPathMatch[1]
  if (file_exists(handoffPath)) {
    handoffContext = JSON.parse(Read(handoffPath))
    // handoffContext: { source, session_id, summary, implementation_scope[], code_anchors[], key_findings[], exploration_artifacts{} }

    // Enrich requirement with handoff context for CLI decomposition in Phase 1
    requirement = `${handoffContext.summary}\n\n` +
      `## Implementation Scope\n${handoffContext.implementation_scope.map((s, i) =>
        `${i+1}. **${s.objective}** [${s.priority}]\n   Files: ${s.target_files?.join(', ') || 'TBD'}\n   Done when: ${s.acceptance_criteria?.join('; ') || 'TBD'}`
      ).join('\n')}\n\n` +
      (handoffContext.key_findings?.length > 0
        ? `## Key Findings\n${handoffContext.key_findings.map(f => `- ${f.point || f}`).join('\n')}\n\n`
        : '') +
      (handoffContext.code_anchors?.length > 0
        ? 
        : )

    
     (handoffContext.?. && (handoffContext..)) {
       codebaseData = .((handoffContext..))
       seedDiscoveries = [
        ...(codebaseData. || []).( .({
          : (), : , : ,
          : { : p. || p, : p.?.[] || , : p. ||  }
        })),
        ...(codebaseData. || []).(, ).( .({
          : (), : , : ,
          : { : f., : f. || f. ||  }
        }))
      ]
       (seedDiscoveries. > ) {
        (, seedDiscoveries.() + )
      }
    }

    .()
  }
}

Usage with handoff:

$csv-wave-pipeline "handoff:.workflow/.analysis/ANL-2026-04-29-auth/handoff.json"
$csv-wave-pipeline -y "handoff:.workflow/.lite-plan/auth-plan/handoff.json"

When handoff is provided:

• implementation_scope[] enriches the CLI decomposition prompt in Phase 1 with pre-analyzed objectives, target files, and acceptance criteria
• code_anchors[] give agents specific file:line entry points
• exploration_artifacts.exploration_codebase seeds discoveries.ndjson with known patterns and integration points, so Wave 1 agents skip redundant codebase exploration

CSV Utility Functions

// Escape a value for CSV (wrap in quotes, double internal quotes)
function csvEscape(value) {
  const str = String(value ?? '')
  return str.replace(/"/g, '""')
}

// Parse CSV string into array of objects (header row → keys)
function parseCsv(csvString) {
  const lines = csvString.trim().split('\n')
  if (lines.length < 2) return []
  const headers = parseCsvLine(lines[0]).map(h => h.replace(/^"|"$/g, ''))
  return lines.slice(1).map(line => {
    const cells = parseCsvLine(line).map(c => c.replace(/^"|"$/g, '').replace(/""/g, '"'))
    const obj = {}
    headers.forEach(() => { obj[h] = cells[i] ??  })
     obj
  })
}


 () {
   cells = []
   current = 
   inQuotes = 
   ( i = ; i < line.; i++) {
     ch = line[i]
     (inQuotes) {
       (ch ===  && line[i + ] === ) {
        current += 
        i++ 
      }   (ch === ) {
        inQuotes = 
      }  {
        current += ch
      }
    }  {
       (ch === ) {
        inQuotes = 
      }   (ch === ) {
        cells.(current)
        current = 
      }  {
        current += ch
      }
    }
  }
  cells.(current)
   cells
}

---

Phase 1: Requirement → CSV

Objective: Decompose requirement into tasks, compute dependency waves, generate tasks.csv.

Steps:

1. Decompose Requirement

   // Use ccw cli to decompose requirement into subtasks
   Bash({
     command: `ccw cli -p "PURPOSE: Decompose requirement into 3-10 atomic tasks for batch agent execution. Each task must include implementation description, test cases, and acceptance criteria.
   

TASK: • Parse requirement into independent subtasks • Identify dependencies between tasks (which must complete before others) • Identify context flow (which tasks need previous tasks' findings) • For each task, define concrete test cases (unit/integration/edge) • For each task, define measurable acceptance criteria (what defines 'done') • Each task must be executable by a single agent with file read/write access MODE: analysis CONTEXT: @**/* EXPECTED: JSON object with tasks array. Each task: {id: string, title: string, description: string, test: string, acceptance_criteria: string, scope: string, hints: string, execution_directives: string, deps: string[], context_from: string[]}.

• description: what to implement (specific enough for an agent to execute independently)
• test: what tests to write and how to verify (e.g. 'Unit test: X returns Y; Edge test: handles Z')
• acceptance_criteria: measurable conditions that define done (e.g. 'API returns 200; token expires after 1h')
• scope: target file/directory glob (e.g. 'src/auth/**') — tasks in same wave MUST have non-overlapping scopes
• hints: implementation tips + reference files, format ' || <ref_file1>;<ref_file2>' (e.g. 'Use strategy pattern || src/base/Strategy.ts;docs/design.md')
• execution_directives: commands to run for verification or tool constraints (e.g. 'Run npm test --bail; Ensure tsc passes')
• deps: task IDs that must complete first
• context_from: task IDs whose findings are needed CONSTRAINTS: 3-10 tasks | Each task is atomic | No circular deps | test and acceptance_criteria must be concrete and verifiable | Same-wave tasks must have non-overlapping scopes

REQUIREMENT: ${requirement}" --tool gemini --mode analysis --rule planning-breakdown-task-steps`, run_in_background: true }) // Wait for CLI completion via hook callback // Parse JSON from CLI output → decomposedTasks[]

2. **Compute Waves** (Kahn's BFS topological sort with depth tracking)

```javascript
// Algorithm:
// 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 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 — fully independent
//   Wave N: all deps in waves 1..(N-1) — guaranteed completed before start
//   Within a wave: tasks are independent → safe for concurrent execution
//
// Example:
//   A(no deps)→W1, B(no deps)→W1, C(deps:A)→W2, D(deps:A,B)→W2, E(deps:C,D)→W3
//   Wave 1: [A,B] concurrent → Wave 2: [C,D] concurrent → Wave 3: [E]

function computeWaves(tasks) {
  const taskMap = new Map(tasks.map(t => [t.id, t]))
  const inDegree = new Map(tasks.map(t => [t.id, 0]))
  const adjList = new Map(tasks.map(t => [t.id, []]))

  for (const task of tasks) {
    for (const dep of task.deps) {
      if (taskMap.has(dep)) {
        adjList.get(dep).push(task.id)
        inDegree.set(task.id, inDegree.get(task.id) + 1)
      }
    }
  }

  // BFS-based topological sort with depth tracking
  const queue = []  // [taskId, depth]
  const waveAssignment = new Map()

  for (const [id, deg] of inDegree) {
    if (deg === 0) {
      queue.push([id, 1])
      waveAssignment.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(waveAssignment.get(next) || 0, depth + 1)
      waveAssignment.set(next, nextDepth)
      if (newDeg === 0) {
        queue.push([next, nextDepth])
        maxWave = Math.max(maxWave, nextDepth)
      }
    }
  }

  // Detect cycles
  for (const task of tasks) {
    if (!waveAssignment.has(task.id)) {
      throw new Error(`Circular dependency detected involving task ${task.id}`)
    }
  }

  return { waveAssignment, maxWave }
}

const { waveAssignment, maxWave } = computeWaves(decomposedTasks)

3. Generate tasks.csv

   const header = 'id,title,description,test,acceptance_criteria,scope,hints,execution_directives,deps,context_from,wave,status,findings,files_modified,tests_passed,acceptance_met,error'
   const rows = decomposedTasks.map(task => {
     const wave = waveAssignment.get(task.id)
     return [
       task.id,
       csvEscape(task.title),
       csvEscape(task.description),
       csvEscape(task.test),
       csvEscape(task.acceptance_criteria),
       csvEscape(task.scope),
       csvEscape(task.hints),
       csvEscape(task.execution_directives),
       task.deps.join(';'),
       task.context_from.join(';'),
       wave,
       'pending',  // status
       '',         // findings
       '',         // files_modified
       '',         // tests_passed
       '',         // acceptance_met
       ''          // error
     ].map(cell => 

Success Criteria: tasks.csv created with valid schema and wave assignments, no circular dependencies, user approved (or AUTO_YES).

---

Phase 2: Wave Execution Engine

Objective: Execute tasks wave-by-wave via spawn_agents_on_csv. Each wave sees previous waves' results.

Steps:

1. Wave Loop

   const failedIds = new Set()
   const skippedIds = new Set()
   
   for (let wave = 1; wave <= maxWave; wave++) {
     console.log(`\n## Wave ${wave}/${maxWave}\n`)
   
     // 1. Read current master CSV
     const masterCsv = parseCsv(Read(`${sessionFolder}/tasks.csv`))
   
     // 2. Filter tasks for this wave
     const waveTasks = masterCsv.filter(row => parseInt(row.wave) === wave)
   
     // 3. Skip tasks whose deps failed
     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, task.id, {
           : ,
           : 
         })
         .()
         
       }
       executableTasks.(task)
     }
   
      (executableTasks. === ) {
       .()
       
     }
   
     
      ( task  executableTasks) {
        contextIds = task..().()
        prevFindings = contextIds
         .( {
            prevRow = masterCsv.( r. === id)
            (prevRow && prevRow. ===  && prevRow.) {
              
           }
            
         })
         .()
         .()
       task. = prevFindings || 
     }
   
     
      waveHeader = 
      waveRows = executableTasks.(
       [t., t., t., t., t., t., t., t., t., t., t., t.]
         .( 

TASK ASSIGNMENT

MANDATORY FIRST STEPS

1. Read shared discoveries: ${sessionFolder}/discoveries.ndjson (if exists, skip if not)
2. Read project context: .workflow/project-tech.json (if exists)

---

Your Task

Task ID: {id} Title: {title} Description: {description} Scope: {scope}

Implementation Hints & Reference Files

{hints}

Format: ` || <ref_file1>;<ref_file2>`. Read ALL reference files (after ||) before starting implementation. Apply tips (before ||) as implementation guidance.

Execution Directives

{execution_directives}

Commands to run for verification, tool restrictions, or environment requirements. Follow these constraints during and after implementation.

Test Cases

{test}

Acceptance Criteria

{acceptance_criteria}

Previous Tasks' Findings (Context)

{prev_context}

---

Execution Protocol

1. Read references: Parse {hints} — read all files listed after `||` to understand existing patterns
2. Read discoveries: Load ${sessionFolder}/discoveries.ndjson for shared exploration findings
3. Use context: Apply previous tasks' findings from prev_context above
4. Stay in scope: ONLY create/modify files within {scope} — do NOT touch files outside this boundary
5. Apply hints: Follow implementation tips from {hints} (before `||`)
6. Execute: Implement the task as described
7. Write tests: Implement the test cases defined above
8. Run directives: Execute commands from {execution_directives} to verify your work
9. Verify acceptance: Ensure all acceptance criteria are met before reporting completion
10. Share discoveries: Append exploration findings to shared board: ```bash echo '{"ts":"","worker":"{id}","type":"","data":{...}}' >> ${sessionFolder}/discoveries.ndjson ```
11. 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
• `tech_stack`: {runtime, framework, language} — project technology stack
• `test_command`: {command, scope, description} — test commands discovered

---

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 test cases pass
• All acceptance criteria are met Otherwise set status to "failed" with details in error field. ` }

3. Master CSV Update Helper

   function updateMasterCsvRow(sessionFolder, taskId, updates) {
     const csvPath = `${sessionFolder}/tasks.csv`
     const content = Read(csvPath)
     const lines = content.split('\n')
     const header = lines[0].split(',')
   
     for (let i = 1; i < lines.length; i++) {
       const cells = parseCsvLine(lines[i])
       if (cells[0] === taskId || cells[0] === `"${taskId}"`) {
         // Update specified columns
         for (const [col, val] of Object.entries(updates)) {
           const colIdx = header.indexOf(col)
           if (colIdx >= 0) {
             cells[colIdx] = `"${String(val).replace(/"/g, '""')}"`
           }
         }
         lines[i] = cells.join(',')
         break
       }
     }
   
     Write(csvPath, lines.join('\n'))
   }
   

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.

---

Phase 3: Results Aggregation

Objective: Generate final results and human-readable report.

Steps:

1. Export results.csv

   const masterCsv = Read(`${sessionFolder}/tasks.csv`)
   // results.csv = master CSV (already has all results populated)
   Write(`${sessionFolder}/results.csv`, masterCsv)
   

2. Generate context.md

   const tasks = parseCsv(masterCsv)
   const completed = tasks.filter(t => t.status === 'completed')
   const failed = tasks.filter(t => t.status === 'failed')
   const skipped = tasks.filter(t => t.status === 'skipped')
   
   const contextContent = `# CSV Batch Execution Report
   

Session: ${sessionId} Requirement: ${requirement} Completed: ${getUtc8ISOString()} Waves: ${maxWave} | Concurrency: ${maxConcurrency}

---

Summary

Metric	Count
Total Tasks	${tasks.length}
Completed	${completed.length}
Failed	${failed.length}
Skipped	${skipped.length}
Waves	${maxWave}

---

Wave Execution

${Array.from({ length: maxWave }, (_, i) => i + 1).map(w => { const waveTasks = tasks.filter(t => parseInt(t.wave) === w) return ### Wave ${w} ${waveTasks.map(t => - [${t.id}] ${t.title}: ${t.status}${t.tests_passed ? ' ✓tests' : ''}${t.error ? ' — ' + t.error : ''} ${t.findings ? 'Findings: ' + t.findings : ''}).join('\n')} }).join('\n\n')}

---

Task Details

${tasks.map(t => `### ${t.id}: ${t.title}

Field	Value
Status	${t.status}
Wave	${t.wave}
Scope	${t.scope
Dependencies	${t.deps
Context From	${t.context_from
Tests Passed	${t.tests_passed
Acceptance Met	${t.acceptance_met
Error	${t.error

Description: ${t.description}

Test Cases: ${t.test || 'N/A'}

Acceptance Criteria: ${t.acceptance_criteria || 'N/A'}

Hints: ${t.hints || 'N/A'}

Execution Directives: ${t.execution_directives || 'N/A'}

Findings: ${t.findings || 'N/A'}

Files Modified: ${t.files_modified || 'none'} `).join('\n---\n')}

---

All Modified Files

${[...new Set(tasks.flatMap(t => (t.files_modified || '').split(';')).filter(Boolean))].map(f => '- ' + f).join('\n') || 'None'} `

Write(${sessionFolder}/context.md, contextContent)

3. **Display Summary**

```javascript
console.log(`
## Execution Complete

- **Session**: ${sessionId}
- **Waves**: ${maxWave}
- **Completed**: ${completed.length}/${tasks.length}
- **Failed**: ${failed.length}
- **Skipped**: ${skipped.length}

**Results**: ${sessionFolder}/results.csv
**Report**: ${sessionFolder}/context.md
**Discoveries**: ${sessionFolder}/discoveries.ndjson
`)

4. Offer Next Steps (skip if AUTO_YES)

   if (!AUTO_YES && failed.length > 0) {
     const answer = functions.request_user_input({
       questions: [{
         header: "下一步",
         id: "next_step",
         question: `${failed.length} tasks failed. Next action?`,
         options: [
           { label: "Retry Failed(Recommended)", description: `Re-execute ${failed.length} failed tasks with updated context` },
           { label: "View Report", description: "Display context.md" },
           { label: "Done", description: "Complete session" }
         ]
       }]
     })  // BLOCKS
   
     if (answer.answers.next_step.answers[0] === "Retry Failed(Recommended)") {
       // Reset failed tasks to pending, re-run Phase 2 for their waves
       for (const task of failed) {
         updateMasterCsvRow(sessionFolder, task.id, { status: 'pending', error: '' })
       }
       // Also reset skipped tasks whose deps are now retrying
        ( task  skipped) {
         (sessionFolder, task., { : , :  })
       }
       
       
     }   (answer...[] === ) {
       .(())
     }
   }
   

Success Criteria: results.csv exported, context.md generated, summary displayed to user.

---

Error Handling

Error	Resolution
Circular dependency	Detect in wave computation, abort with error message
Agent timeout	Mark as failed in results, continue with wave
Agent failed	Mark as failed, skip dependent tasks in later waves
All agents in wave failed	Log error, offer retry or abort
CSV parse error	Validate CSV format before execution, show line number
discoveries.ndjson corrupt	Ignore malformed lines, continue with valid entries
Continue mode: no session found	List available sessions, prompt user to select

---

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
3. CSV is Source of Truth: Master tasks.csv holds all state — always read before wave, always write after
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 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

• 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

Scenario Recommendations

Scenario	Recommended Approach
Independent parallel tasks (no deps)	$csv-wave-pipeline -c 8 — single wave, max parallelism
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