Workflow Lite Plan

Auto Mode

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

Workflow Lite Planex

Usage

$workflow-lite-plan "Implement user authentication with OAuth, JWT, and 2FA"
$workflow-lite-plan -c 4 "Refactor payment module with Stripe and PayPal"
$workflow-lite-plan -y "Build notification system with email and SMS"
$workflow-lite-plan --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

Output Directory: .workflow/.lite-plan/{session-id}/

Overview

Explore-first wave-based pipeline using spawn_agents_on_csv. Two-stage CSV execution: explore.csv (codebase discovery) → tasks.csv (implementation), with cross-phase context propagation via context_from linking (E* → T*).

Core workflow: Decompose → [Confirm] → Wave Explore → Synthesize & Plan → [Confirm] → Wave Execute → Aggregate

┌──────────────────────────────────────────────────────────────────────┐
│                    WORKFLOW LITE PLANEX                               │
├──────────────────────────────────────────────────────────────────────┤
│                                                                      │
│  Phase 1: Requirement → explore.csv                                  │
│     ├─ Analyze complexity → select exploration angles (1-4)          │
│     ├─ Generate explore.csv (1 row per angle)                        │
│     └─ ⛔ MANDATORY: User validates (skip ONLY if -y)                 │
│                                                                      │
│  Phase 2: Wave Explore (spawn_agents_on_csv)                         │
│     ├─ For each explore wave:                                        │
│     │   ├─ Build wave CSV from explore.csv                           │
│     │   ├─ spawn_agents_on_csv(explore instruction template)         │
│     │   └─ Merge findings/key_files into explore.csv                 │
│     └─ discoveries.ndjson shared across agents                       │
│                                                                      │
│  Phase 3: Synthesize & Plan → tasks.csv                              │
│     ├─ Read all explore findings → cross-reference                   │
│     ├─ Resolve conflicts between angles                              │
│     ├─ Decompose into execution tasks with context_from: E*;T*       │
│     ├─ Compute dependency waves (topological sort)                   │
│     └─ ⛔ MANDATORY: User validates (skip ONLY if -y)                 │
│                                                                      │
│  Phase 4: Wave Execute (spawn_agents_on_csv)                         │
│     ├─ For each task wave:                                           │
│     │   ├─ Build prev_context from explore.csv + tasks.csv           │
│     │   ├─ Build wave CSV with prev_context column                   │
│     │   ├─ spawn_agents_on_csv(execute instruction template)         │
│     │   └─ Merge results into tasks.csv                              │
│     └─ discoveries.ndjson carries across all waves                   │
│                                                                      │
│  Phase 5: Aggregate                                                  │
│     ├─ Export results.csv                                            │
│     ├─ Generate context.md with all findings                         │
│     └─ Display summary                                               │
│                                                                      │
└──────────────────────────────────────────────────────────────────────┘

Context Flow

explore.csv             tasks.csv
┌──────────┐           ┌──────────┐
│ E1: arch │──────────→│ T1: setup│ context_from: E1;E2
│ findings │           │ prev_ctx │← E1+E2 findings
├──────────┤           ├──────────┤
│ E2: deps │──────────→│ T2: impl │ context_from: E1;T1
│ findings │           │ prev_ctx │← E1+T1 findings
├──────────┤           ├──────────┤
│ E3: test │──┐   ┌───→│ T3: test │ context_from: E3;T2
│ findings │  └───┘    │ prev_ctx │← E3+T2 findings
└──────────┘           └──────────┘

Two context channels:
1. Directed: context_from → prev_context (CSV findings lookup)
2. Broadcast: discoveries.ndjson (append-only shared board)

context_from prefix: E* → explore.csv lookup, T* → tasks.csv lookup

CSV Schemas

explore.csv

id,angle,description,focus,deps,wave,status,findings,key_files,error
"E1","architecture","Explore codebase architecture for: auth system","architecture","","1","pending","","",""
"E2","dependencies","Explore dependency landscape for: auth system","dependencies","","1","pending","","",""
"E3","testing","Explore test infrastructure for: auth system","testing","","1","pending","","",""

Columns:

tasks.csv

id,title,description,test,acceptance_criteria,scope,hints,execution_directives,deps,context_from,wave,status,findings,files_modified,tests_passed,acceptance_met,error
"T1","Setup types","Create type definitions","Verify types compile with tsc","All interfaces exported","src/types/**","Follow existing patterns || src/types/index.ts","tsc --noEmit","","E1;E2","1","pending","","","","",""
"T2","Implement core","Implement core auth logic","Unit test: login returns token","Login flow works end-to-end","src/auth/**","Reuse BaseService || src/services/Base.ts","npm test -- --grep auth","T1","E1;E2;T1","2","pending","","","","",""

Columns:

Per-Wave CSV (Temporary)

Each wave generates a temporary CSV with an extra prev_context column.

Explore wave: explore-wave-{N}.csv — same columns as explore.csv (no prev_context, explorations are independent).

Execute wave: task-wave-{N}.csv — all task columns + prev_context:

id,title,description,test,acceptance_criteria,scope,hints,execution_directives,deps,context_from,wave,prev_context
"T2","Implement core","Implement core auth logic","Unit test: login returns token","Login flow works end-to-end","src/auth/**","Reuse BaseService || src/services/Base.ts","npm test -- --grep auth","T1","E1;E2;T1","2","[Explore architecture] Found BaseService pattern in src/services/\n[Task T1] Created types at src/types/auth.ts"

The prev_context column is built from context_from by looking up completed rows' findings in both explore.csv (E*) and tasks.csv (T*).

Output Artifacts

Session Structure

.workflow/.lite-plan/{session-id}/
├── explore.csv              # Exploration state
├── tasks.csv                # Execution state
├── results.csv              # Final results export
├── discoveries.ndjson       # Shared discovery board
├── context.md               # Full context summary
├── explore-wave-{N}.csv     # Temporary per-wave explore input (cleaned up)
└── task-wave-{N}.csv        # Temporary per-wave execute input (cleaned up)

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

const requirement = $ARGUMENTS
  .replace(/--yes|-y|--continue|--concurrency\s+\d+|-c\s+\d+/g, '')
  .trim()

const slug = requirement.toLowerCase()
  .replace(/[^a-z0-9\u4e00-\u9fa5]+/g, '-')
  .substring(0, 40)
const dateStr = getUtc8ISOString().substring(0, 10).replace(/-/g, '')
const sessionId = `wpp-${dateStr}-${slug}`
const sessionFolder = `.workflow/.lite-plan/${sessionId}`

// Continue mode: find existing session
if (continueMode) {
  const existing = Bash(`ls -t .workflow/.lite-plan/ 2>/dev/null | head -1`).trim()
  if (existing) {
    sessionId = existing
    sessionFolder = `.workflow/.lite-plan/${sessionId}`
    // Check which phase to resume: if tasks.csv exists → Phase 4, else → Phase 2
  }
}

Bash(`mkdir -p ${sessionFolder}`)

Phase 1: Requirement → explore.csv

Objective: Analyze requirement complexity, select exploration angles, generate explore.csv.

Steps:

1. Analyze & Decompose

   Bash({
     command: `ccw cli -p "PURPOSE: Analyze requirement complexity and select 1-4 exploration angles for codebase discovery before implementation.
   

TASK: • Classify requirement type (feature/bugfix/refactor/security/performance) • Assess complexity (Low: 1 angle, Medium: 2-3, High: 3-4) • Select exploration angles from: architecture, dependencies, integration-points, testing, patterns, security, performance, state-management, error-handling, edge-cases • For each angle, define focus keywords and what to discover MODE: analysis CONTEXT: @**/* EXPECTED: JSON object: {type: string, complexity: string, angles: [{id: string, angle: string, description: string, focus: string}]}. Each angle id = E1, E2, etc. CONSTRAINTS: 1-4 angles | Angles must be distinct | Each angle must have clear focus

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 → { type, complexity, angles[] }

2. **Generate explore.csv**

```javascript
const header = 'id,angle,description,focus,deps,wave,status,findings,key_files,error'
const rows = angles.map(a =>
  [a.id, a.angle, a.description, a.focus, '', '1', 'pending', '', '', '']
    .map(v => `"${String(v).replace(/"/g, '""')}"`)
    .join(',')
)

Write(`${sessionFolder}/explore.csv`, [header, ...rows].join('\n'))

3. User Validation — MANDATORY CONFIRMATION GATE (skip ONLY if AUTO_YES)

   CRITICAL: You MUST stop here and wait for user confirmation before proceeding to Phase 2. DO NOT skip this step. DO NOT auto-proceed.

   if (!AUTO_YES) {
     console.log(`\n## Exploration Plan (${angles.length} angles)\n`)
     angles.forEach(a => console.log(`  - [${a.id}] ${a.angle}: ${a.focus}`))
   
     const answer = functions.request_user_input({
       questions: [{
         question: "Approve exploration angles?",
         header: "Validation",
         options: [
           { label: "Approve", description: "Proceed with wave exploration" },
           { label: "Modify", description: `Edit ${sessionFolder}/explore.csv manually, then --continue` },
           { label: "Cancel", description: "Abort" }
         ]
       }]
     })
   
     if (answer.Validation === "Modify") {
       console.log(`Edit: ${sessionFolder}/explore.csv\nResume: $workflow-lite-plan --continue`)
       return
     } else if (answer.Validation === "Cancel") {
       return
     }
   }
   

Success Criteria:

• explore.csv created with 1-4 exploration angles
• User approved (or AUTO_YES)

Phase 2: Wave Explore (spawn_agents_on_csv)

Objective: Execute exploration via spawn_agents_on_csv. Each angle produces findings and key_files.

Steps:

1. Explore Wave Loop

   const exploreCSV = parseCsv(Read(`${sessionFolder}/explore.csv`))
   const maxExploreWave = Math.max(...exploreCSV.map(r => parseInt(r.wave)))
   
   for (let wave = 1; wave <= maxExploreWave; wave++) {
     const waveTasks = exploreCSV.filter(r =>
       parseInt(r.wave) === wave && r.status === 'pending'
     )
     if (waveTasks.length === 0) continue
   
     // Skip rows with failed dependencies
     const executableTasks = []
     for (const task of waveTasks) {
       const deps = (task.deps || '').split(';').filter(Boolean)
       if (deps.some(d => {
         const dep = exploreCSV.find(r => r.id === d)
         return !dep || dep.status !== 'completed'
       })) {
         task.status = 'skipped'
         task.error = 'Dependency failed/skipped'
         continue
       }
       executableTasks.push(task)
     }
   
     if (executableTasks.length === 0) continue
   
     // Write explore wave CSV
     const waveHeader = 'id,angle,description,focus,deps,wave'
     const waveRows = executableTasks.map(t =>
       [t.id, t.angle, t.description, t.focus, t.deps, t.wave]
         .map(v => `"${String(v).replace(/"/g, '""')}"`)
         .join(',')
     )
     Write(`${sessionFolder}/explore-wave-${wave}.csv`, [waveHeader, ...waveRows].join('\n'))
   
     // Execute explore wave
     console.log(`  Exploring ${executableTasks.length} angles (wave ${wave})...`)
   
     spawn_agents_on_csv({
       csv_path: `${sessionFolder}/explore-wave-${wave}.csv`,
       id_column: "id",
       instruction: buildExploreInstruction(sessionFolder),
       max_concurrency: maxConcurrency,
       max_runtime_seconds: 300,
       output_csv_path: `${sessionFolder}/explore-wave-${wave}-results.csv`,
       output_schema: {
         type: "object",
         properties: {
           id: { type: "string" },
           status: { type: "string", enum: ["completed", "failed"] },
           findings: { type: "string" },
           key_files: { type: "array", items: { type: "string" } },
           error: { type: "string" }
         },
         required: ["id", "status", "findings"]
       }
     })
   
     // Merge results into explore.csv
     const waveResults = parseCsv(Read(`${sessionFolder}/explore-wave-${wave}-results.csv`))
     for (const result of waveResults) {
       updateMasterCsvRow(`${sessionFolder}/explore.csv`, result.id, {
         status: result.status,
         findings: result.findings || '',
         key_files: Array.isArray(result.key_files) ? result.key_files.join(';') : (result.key_files || ''),
         error: result.error || ''
       })
     }
   
     // Cleanup temporary wave CSV
     Bash(`rm -f "${sessionFolder}/explore-wave-${wave}.csv" "${sessionFolder}/explore-wave-${wave}-results.csv"`)
   }
   

2. Explore Instruction Template

   function buildExploreInstruction(sessionFolder) {
     return `
   

EXPLORATION 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 Exploration

Exploration ID: {id} Angle: {angle} Description: {description} Focus: {focus}

Exploration Protocol

1. Read discoveries: Load ${sessionFolder}/discoveries.ndjson for shared findings
2. Explore: Search the codebase from the {angle} perspective
3. Discover: Find relevant files, patterns, integration points, constraints
4. Share discoveries: Append findings to shared board: ```bash echo '{"ts":"","worker":"{id}","type":"","data":{...}}' >> ${sessionFolder}/discoveries.ndjson ```
5. Report result: Return JSON via report_agent_job_result

What to Look For

• Existing patterns and conventions to follow
• Integration points and module boundaries
• Dependencies and constraints
• Test infrastructure and coverage
• Risks and potential blockers

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
• `tech_stack`: {framework, version, config} — technology stack details

Output (report_agent_job_result)

Return JSON: { "id": "{id}", "status": "completed" | "failed", "findings": "Concise summary of ${'{'}angle{'}'} discoveries (max 800 chars)", "key_files": ["relevant/file1.ts", "relevant/file2.ts"], "error": "" } ` }

**Success Criteria**:
- All explore angles executed
- explore.csv updated with findings and key_files
- discoveries.ndjson accumulated

---

### Phase 3: Synthesize & Plan → tasks.csv

**Objective**: Read exploration findings, cross-reference, resolve conflicts, generate tasks.csv with context_from linking to E* rows.

**Steps**:

1. **Synthesize Exploration Findings**

```javascript
const exploreCSV = parseCsv(Read(`${sessionFolder}/explore.csv`))
const completed = exploreCSV.filter(r => r.status === 'completed')

// Cross-reference: find shared files across angles
const fileRefs = {}
completed.forEach(r => {
  (r.key_files || '').split(';').filter(Boolean).forEach(f => {
    if (!fileRefs[f]) fileRefs[f] = []
    fileRefs[f].push({ angle: r.angle, id: r.id })
  })
})
const sharedFiles = Object.entries(fileRefs).filter(([_, refs]) => refs.length > 1)

// Build synthesis context for task decomposition
const synthesisContext = completed.map(r =>
  `[${r.id}: ${r.angle}] ${r.findings}\n  Key files: ${r.key_files || 'none'}`
).join('\n\n')

const sharedFilesContext = sharedFiles.length > 0
  ? `\nShared files (referenced by multiple angles):\n${sharedFiles.map(([f, refs]) =>
      `  ${f} ← ${refs.map(r => r.id).join(', ')}`
    ).join('\n')}`
  : ''

2. Decompose into Tasks

   Bash({
     command: `ccw cli -p "PURPOSE: Based on exploration findings, decompose requirement into 3-10 atomic execution tasks. Each task must include test cases, acceptance criteria, and link to relevant exploration findings.
   

TASK: • Use exploration findings to inform task decomposition • Each task must be self-contained with specific implementation instructions • Link tasks to exploration rows via context_from (E1, E2, etc.) • Define dependencies between tasks (T1 must finish before T2, etc.) • For each task: define test cases, acceptance criteria, scope, hints, and execution directives • Ensure same-wave tasks have non-overlapping scopes 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[]}.

• id: T1, T2, etc.
• description: what to implement (specific enough for an agent)
• test: what tests to write (e.g. 'Unit test: X returns Y')
• acceptance_criteria: what defines done (e.g. 'API returns 200')
• scope: target glob (e.g. 'src/auth/**') — non-overlapping within same wave
• hints: tips + ref files (format: 'tips || file1;file2')
• execution_directives: verification commands (e.g. 'npm test --bail')
• deps: task IDs that must complete first (T*)
• context_from: explore (E*) and task (T*) IDs whose findings are needed CONSTRAINTS: 3-10 tasks | Atomic | No circular deps | Concrete test/acceptance_criteria | Non-overlapping scopes per wave

EXPLORATION FINDINGS: ${synthesisContext} ${sharedFilesContext}

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

3. **Compute Waves & Write tasks.csv**

```javascript
const { waveAssignment, maxWave } = computeWaves(decomposedTasks)

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', '', '', '', '', ''
  ].map(cell => `"${String(cell).replace(/"/g, '""')}"`).join(',')
})

Write(`${sessionFolder}/tasks.csv`, [header, ...rows].join('\n'))

4. User Validation — MANDATORY CONFIRMATION GATE (skip ONLY if AUTO_YES)

   CRITICAL: You MUST stop here and wait for user confirmation before proceeding to Phase 4. DO NOT skip this step. DO NOT auto-proceed.

   if (!AUTO_YES) {
     console.log(`
   

Execution Plan

Explore: ${completed.length} angles completed Shared files: ${sharedFiles.length} Tasks: ${decomposedTasks.length} across ${maxWave} waves

${Array.from({length: maxWave}, (_, i) => i + 1).map(w => { const wt = decomposedTasks.filter(t => waveAssignment.get(t.id) === w) return ### Wave ${w} (${wt.length} tasks, concurrent) ${wt.map(t => - [${t.id}] ${t.title} (scope: ${t.scope}, from: ${t.context_from.join(';')})).join('\n')} }).join('\n')} `)

 const answer = functions.request_user_input({
   questions: [{
     question: `Proceed with ${decomposedTasks.length} tasks across ${maxWave} waves?`,
     header: "Confirm",
     options: [
       { label: "Execute", description: "Proceed with wave execution" },
       { label: "Modify", description: `Edit ${sessionFolder}/tasks.csv then --continue` },
       { label: "Cancel", description: "Abort" }
     ]
   }]
 })

 if (answer.Confirm === "Modify") {
   console.log(`Edit: ${sessionFolder}/tasks.csv\nResume: $workflow-lite-plan --continue`)
   return  // STOP — do not proceed to Phase 4
 } else if (answer.Confirm === "Cancel") {
   return  // STOP — do not proceed to Phase 4
 }
 // Only reach here if user selected "Execute"

}

**Success Criteria**:
- tasks.csv created with context_from linking to E* rows
- No circular dependencies
- User explicitly approved (or AUTO_YES) — Phase 4 MUST NOT start without this

---

### Phase 4: Wave Execute (spawn_agents_on_csv)

**Objective**: Execute tasks wave-by-wave via `spawn_agents_on_csv`. Each wave's prev_context is built from both explore.csv and tasks.csv.

**Steps**:

1. **Wave Loop**

```javascript
const exploreCSV = parseCsv(Read(`${sessionFolder}/explore.csv`))
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
  const masterCsv = parseCsv(Read(`${sessionFolder}/tasks.csv`))
  const waveTasks = masterCsv.filter(row => parseInt(row.wave) === wave)

  // 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(`${sessionFolder}/tasks.csv`, task.id, {
        status: 'skipped',
        error: 'Dependency failed or skipped'
      })
      console.log(`  [${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 (cross-phase: E* + T*)
  for (const task of executableTasks) {
    task.prev_context = buildPrevContext(task.context_from, exploreCSV, masterCsv)
  }

  // Write wave CSV
  const waveHeader = 'id,title,description,test,acceptance_criteria,scope,hints,execution_directives,deps,context_from,wave,prev_context'
  const waveRows = executableTasks.map(t =>
    [t.id, t.title, t.description, t.test, t.acceptance_criteria, t.scope, t.hints, t.execution_directives, t.deps, t.context_from, t.wave, t.prev_context]
      .map(cell => `"${String(cell).replace(/"/g, '""')}"`)
      .join(',')
  )
  Write(`${sessionFolder}/task-wave-${wave}.csv`, [waveHeader, ...waveRows].join('\n'))

  // Execute wave
  console.log(`  Executing ${executableTasks.length} tasks (concurrency: ${maxConcurrency})...`)

  spawn_agents_on_csv({
    csv_path: `${sessionFolder}/task-wave-${wave}.csv`,
    id_column: "id",
    instruction: buildExecuteInstruction(sessionFolder, wave),
    max_concurrency: maxConcurrency,
    max_runtime_seconds: 600,
    output_csv_path: `${sessionFolder}/task-wave-${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
  const waveResults = parseCsv(Read(`${sessionFolder}/task-wave-${wave}-results.csv`))
  for (const result of waveResults) {
    updateMasterCsvRow(`${sessionFolder}/tasks.csv`, result.id, {
      status: result.status,
      findings: result.findings || '',
      files_modified: Array.isArray(result.files_modified) ? result.files_modified.join(';') : (result.files_modified || ''),
      tests_passed: String(result.tests_passed ?? ''),
      acceptance_met: result.acceptance_met || '',
      error: result.error || ''
    })

    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' : ''}`)
    }
  }

  // Cleanup
  Bash(`rm -f "${sessionFolder}/task-wave-${wave}.csv" "${sessionFolder}/task-wave-${wave}-results.csv"`)

  console.log(`  Wave ${wave} done: ${waveResults.filter(r => r.status === 'completed').length} completed, ${waveResults.filter(r => r.status === 'failed').length} failed`)
}

2. prev_context Builder (Cross-Phase)

   The key function linking exploration context to execution:

   function buildPrevContext(contextFrom, exploreCSV, tasksCSV) {
     if (!contextFrom) return 'No previous context available'
   
     const ids = contextFrom.split(';').filter(Boolean)
     const entries = []
   
     ids.forEach(id => {
       if (id.startsWith('E')) {
         // ← Look up in explore.csv (cross-phase link)
         const row = exploreCSV.find(r => r.id === id)
         if (row && row.status === 'completed' && row.findings) {
           entries.push(`[Explore ${row.angle}] ${row.findings}`)
           if (row.key_files) entries.push(`  Key files: ${row.key_files}`)
         }
       } else if (id.startsWith('T')) {
         // ← Look up in tasks.csv (same-phase link)
         const row = tasksCSV.find(r => r.id === id)
         if (row && row.status === 'completed' && row.findings) {
           entries.push(`[Task ${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'
   }
   

3. Execute Instruction Template

   function buildExecuteInstruction(sessionFolder, wave) {
     return `
   

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: `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.

Test Cases

{test}

Acceptance Criteria

{acceptance_criteria}

Previous Context (from exploration and predecessor tasks)

{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

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. ` }

4. Master CSV Update Helper

   function updateMasterCsvRow(csvPath, taskId, updates) {
     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] === `"${taskId}"`) {
         for (const [col, val] of Object.entries(updates)) {
           const colIdx = header.indexOf(col)
           if (colIdx >= 0) {
             cells[colIdx] = `"${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 phases

Phase 5: Results Aggregation

Objective: Generate final results and human-readable report.

Steps:

1. Export results.csv

   const masterCsv = Read(`${sessionFolder}/tasks.csv`)
   Write(`${sessionFolder}/results.csv`, masterCsv)
   

2. Generate context.md

   const finalTasks = parseCsv(masterCsv)
   const exploreCSV = parseCsv(Read(`${sessionFolder}/explore.csv`))
   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 contextContent = `# Lite Planex Execution Report
   

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

Summary

Exploration Results

${exploreCSV.map(e => ### ${e.id}: ${e.angle} (${e.status}) ${e.findings || 'N/A'} Key files: ${e.key_files || 'none'}).join('\n\n')}

Task Results

${finalTasks.map(t => `### ${t.id}: ${t.title} (${t.status})

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---\n\n')}

All Modified Files

${[...new Set(finalTasks.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(`
## Lite Planex Complete

- **Session**: ${sessionId}
- **Explore**: ${exploreCSV.filter(r => r.status === 'completed').length}/${exploreCSV.length} angles
- **Tasks**: ${completed.length}/${finalTasks.length} completed, ${failed.length} failed, ${skipped.length} skipped
- **Waves**: ${maxWave}

**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: [{
         question: `${failed.length} tasks failed. Next action?`,
         header: "Next Step",
         options: [
           { label: "Retry Failed", description: `Re-execute ${failed.length} failed tasks with updated context` },
           { label: "View Report", description: "Display context.md" },
           { label: "Done", description: "Complete session" }
         ]
       }]
     })
   
     if (answer['Next Step'] === "Retry Failed") {
       for (const task of failed) {
         updateMasterCsvRow(`${sessionFolder}/tasks.csv`, task.id, { status: 'pending', error: '' })
       }
       for (const task of skipped) {
         updateMasterCsvRow(`${sessionFolder}/tasks.csv`, task.id, { status: 'pending', error: '' })
       }
       // Re-execute Phase 4
     } else if (answer['Next Step'] === "View Report") {
       console.log(Read(`${sessionFolder}/context.md`))
     }
   }
   

Success Criteria:

• results.csv exported
• context.md generated with full field coverage
• Summary displayed to user

Wave Computation (Kahn's BFS)

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)
      }
    }
  }

  const queue = []
  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)
      }
    }
  }

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

  return { waveAssignment, maxWave }
}

Shared Discovery Board Protocol

All agents across all phases share discoveries.ndjson. This eliminates redundant codebase exploration.

{"ts":"2026-02-28T10:00:00+08:00","worker":"E1","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":"T2","type":"integration_point","data":{"file":"src/auth/index.ts","description":"Auth module entry","exports":["authenticate","authorize"]}}

Types: code_pattern, integration_point, convention, blocker, tech_stack, test_command Rules: Read first → write immediately → deduplicate → append-only

Error Handling

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