Files
Claude-Code-Workflow/.codex/skills/team-coordinate/SKILL.md
catlog22 61ea9d47a6 Enhance UX and Coordinator Role Constraints in Skills Documentation
- Added detailed constraints for the Coordinator role in the team UX improvement skill, emphasizing orchestration responsibilities and workflow management.
- Updated test cases in DashboardToolbar, useIssues, and useWebSocket to improve reliability and clarity.
- Introduced new tests for configStore and ignore patterns in Codex Lens to ensure proper functionality and configuration handling.
- Enhanced smart search functionality with improved embedding selection logic and added tests for various scenarios.
- Updated installation and usage documentation to reflect changes in directory structure and role specifications.
2026-03-08 23:43:44 +08:00

29 KiB

name, description, argument-hint, allowed-tools
name description argument-hint allowed-tools
team-coordinate Universal team coordination skill with dynamic role generation. Analyzes task, generates worker roles at runtime, decomposes into CSV tasks with dependency waves, dispatches parallel CSV agents per wave. Coordinator is orchestrator; all workers are CSV or interactive agents with dynamically generated instructions. [-y|--yes] [-c|--concurrency N] [--continue] "task description" spawn_agents_on_csv, spawn_agent, wait, send_input, close_agent, Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion

Auto Mode

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

Team Coordinate

Usage

$team-coordinate "Implement user authentication with JWT tokens"
$team-coordinate -c 4 "Refactor payment module and write API documentation"
$team-coordinate -y "Analyze codebase security and fix vulnerabilities"
$team-coordinate --continue "tc-auth-jwt-20260308"

Flags:

  • -y, --yes: Skip all confirmations (auto mode)
  • -c, --concurrency N: Max concurrent agents within each wave (default: 3)
  • --continue: Resume existing session

Output Directory: .workflow/.csv-wave/{session-id}/ Core Output: tasks.csv (master state) + results.csv (final) + discoveries.ndjson (shared exploration) + context.md (human-readable report)


Overview

Universal team coordination: analyze task -> detect capabilities -> generate dynamic role instructions -> decompose into dependency-ordered CSV tasks -> execute wave-by-wave -> deliver results. Only the coordinator (this orchestrator) is built-in. All worker roles are dynamically generated as CSV agent instructions at runtime.

Execution Model: Hybrid -- CSV wave pipeline (primary) + individual agent spawn (secondary)

+-------------------------------------------------------------------+
|              TEAM COORDINATE WORKFLOW                               |
+-------------------------------------------------------------------+
|                                                                     |
|  Phase 0: Pre-Wave Interactive (Requirement Clarification)          |
|     +- Parse user task description                                  |
|     +- Clarify ambiguous requirements (AskUserQuestion)             |
|     +- Output: refined requirements for decomposition               |
|                                                                     |
|  Phase 1: Requirement -> CSV + Classification                       |
|     +- Signal detection: keyword scan -> capability inference       |
|     +- Dependency graph construction (DAG)                          |
|     +- Role minimization (cap at 5 roles)                           |
|     +- Classify tasks: csv-wave | interactive (exec_mode)           |
|     +- Compute dependency waves (topological sort)                  |
|     +- Generate tasks.csv with wave + exec_mode columns             |
|     +- Generate per-role agent instructions dynamically             |
|     +- User validates task breakdown (skip if -y)                   |
|                                                                     |
|  Phase 2: Wave Execution Engine (Extended)                          |
|     +- For each wave (1..N):                                        |
|     |   +- Execute pre-wave interactive tasks (if any)              |
|     |   +- Build wave CSV (filter csv-wave tasks for this wave)     |
|     |   +- Inject previous findings into prev_context column        |
|     |   +- spawn_agents_on_csv(wave CSV)                            |
|     |   +- Execute post-wave interactive tasks (if any)             |
|     |   +- Merge all results into master tasks.csv                  |
|     |   +- Check: any failed? -> skip dependents                    |
|     +- discoveries.ndjson shared across all modes (append-only)     |
|                                                                     |
|  Phase 3: Post-Wave Interactive (Completion Action)                 |
|     +- Pipeline completion report                                   |
|     +- Interactive completion choice (Archive/Keep/Export)           |
|     +- Final aggregation / report                                   |
|                                                                     |
|  Phase 4: 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                    |
|                                                                     |
+-------------------------------------------------------------------+

Task Classification Rules

Each task is classified by exec_mode:

exec_mode Mechanism Criteria
csv-wave spawn_agents_on_csv One-shot, structured I/O, no multi-round interaction
interactive spawn_agent/wait/send_input/close_agent Multi-round, needs clarification, revision cycles

Classification Decision:

Task Property Classification
Single-pass code implementation csv-wave
Single-pass analysis or documentation csv-wave
Research with defined scope csv-wave
Testing with known targets csv-wave
Design requiring iterative refinement interactive
Plan requiring user approval checkpoint interactive
Revision cycle (fix-verify loop) interactive

CSV Schema

tasks.csv (Master State)

id,title,description,role,responsibility_type,output_type,deps,context_from,exec_mode,wave,status,findings,artifacts_produced,error
"RESEARCH-001","Investigate auth patterns","Research JWT authentication patterns and best practices","researcher","orchestration","artifact","","","csv-wave","1","pending","","",""
"IMPL-001","Implement auth module","Build JWT authentication middleware","developer","code-gen","codebase","RESEARCH-001","RESEARCH-001","csv-wave","2","pending","","",""
"TEST-001","Validate auth implementation","Write and run tests for auth module","tester","validation","artifact","IMPL-001","IMPL-001","csv-wave","3","pending","","",""

Columns:

Column Phase Description
id Input Unique task identifier (PREFIX-NNN format)
title Input Short task title
description Input Detailed task description with goal, steps, success criteria
role Input Dynamic role name (researcher, developer, analyst, etc.)
responsibility_type Input orchestration, read-only, code-gen, code-gen-docs, validation
output_type Input artifact (session files), codebase (project files), mixed
deps Input Semicolon-separated dependency task IDs
context_from Input Semicolon-separated task IDs whose findings this task needs
exec_mode Input csv-wave or interactive
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)
artifacts_produced Output Semicolon-separated paths of produced artifacts
error Output Error message if failed (empty if success)

Per-Wave CSV (Temporary)

Each wave generates a temporary wave-{N}.csv with extra prev_context column (csv-wave tasks only).


Agent Registry (Interactive Agents)

Agent Role File Pattern Responsibility Position
Plan Reviewer agents/plan-reviewer.md 2.3 (send_input cycle) Review and approve plans before execution waves pre-wave
Completion Handler agents/completion-handler.md 2.3 (send_input cycle) Handle pipeline completion action (Archive/Keep/Export) standalone

COMPACT PROTECTION: Agent files are execution documents. When context compression occurs, you MUST immediately Read the corresponding agent.md to reload.


Output Artifacts

File Purpose Lifecycle
tasks.csv Master state -- all tasks with status/findings Updated after each wave
wave-{N}.csv Per-wave input (temporary, csv-wave tasks only) Created before wave, deleted after
results.csv Final export of all task results Created in Phase 4
discoveries.ndjson Shared exploration board (all agents, both modes) Append-only, carries across waves
context.md Human-readable execution report Created in Phase 4
task-analysis.json Phase 0/1 output: capabilities, dependency graph, roles Created in Phase 1
role-instructions/ Dynamically generated per-role instruction templates Created in Phase 1
interactive/{id}-result.json Results from interactive tasks Created per interactive task

Session Structure

.workflow/.csv-wave/{session-id}/
+-- tasks.csv                  # Master state (all tasks, both modes)
+-- results.csv                # Final results export
+-- discoveries.ndjson         # Shared discovery board (all agents)
+-- context.md                 # Human-readable report
+-- task-analysis.json         # Phase 1 analysis output
+-- wave-{N}.csv               # Temporary per-wave input (csv-wave only)
+-- role-instructions/         # Dynamically generated instruction templates
|   +-- researcher.md
|   +-- developer.md
|   +-- ...
+-- artifacts/                 # All deliverables from workers
|   +-- research-findings.md
|   +-- implementation-summary.md
|   +-- ...
+-- interactive/               # Interactive task artifacts
|   +-- {id}-result.json
+-- wisdom/                    # Cross-task knowledge
    +-- learnings.md
    +-- decisions.md

Implementation

Session Initialization

const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()

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]) : 3

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 = `tc-${slug}-${dateStr}`
const sessionFolder = `.workflow/.csv-wave/${sessionId}`

Bash(`mkdir -p ${sessionFolder}/artifacts ${sessionFolder}/role-instructions ${sessionFolder}/interactive ${sessionFolder}/wisdom`)

// Initialize discoveries.ndjson
Write(`${sessionFolder}/discoveries.ndjson`, '')

// Initialize wisdom files
Write(`${sessionFolder}/wisdom/learnings.md`, '# Learnings\n')
Write(`${sessionFolder}/wisdom/decisions.md`, '# Decisions\n')

Phase 0: Pre-Wave Interactive (Requirement Clarification)

Objective: Parse user task, clarify ambiguities, prepare for decomposition.

Workflow:

  1. Parse user task description from $ARGUMENTS

  2. Check for existing sessions (continue mode):

    • Scan .workflow/.csv-wave/tc-*/tasks.csv for sessions with pending tasks
    • If --continue: resume the specified or most recent session, skip to Phase 2
    • If active session found: ask user whether to resume or start new
  3. Clarify if ambiguous (skip if AUTO_YES):

    AskUserQuestion({
      questions: [{
        question: "Please confirm the task scope and deliverables:",
        header: "Task Clarification",
        multiSelect: false,
        options: [
          { label: "Proceed as described", description: "Task is clear enough" },
          { label: "Narrow scope", description: "Specify files/modules/areas" },
          { label: "Add constraints", description: "Timeline, tech stack, style" }
        ]
      }]
    })
    
  4. Output: Refined requirement string for Phase 1

Success Criteria:

  • Refined requirements available for Phase 1 decomposition
  • Existing session detected and handled if applicable

Phase 1: Requirement -> CSV + Classification

Objective: Analyze task, detect capabilities, build dependency graph, generate tasks.csv and role instructions.

Decomposition Rules:

  1. Signal Detection -- scan task description for capability keywords:
Signal Keywords Capability Prefix Responsibility Type
Research investigate, explore, compare, survey, find, research, discover researcher RESEARCH orchestration
Writing write, draft, document, article, report, summarize writer DRAFT code-gen-docs
Coding implement, build, code, fix, refactor, develop, create, migrate developer IMPL code-gen
Design design, architect, plan, structure, blueprint, schema designer DESIGN orchestration
Analysis analyze, review, audit, assess, evaluate, inspect, diagnose analyst ANALYSIS read-only
Testing test, verify, validate, QA, quality, check, coverage tester TEST validation
Planning plan, breakdown, organize, schedule, decompose, roadmap planner PLAN orchestration
  1. Dependency Graph -- build DAG using natural ordering tiers:
Tier Capabilities Description
0 researcher, planner Knowledge gathering / planning
1 designer Design (requires tier 0 if present)
2 writer, developer Creation (requires design/plan if present)
3 analyst, tester Validation (requires artifacts to validate)
  1. Role Minimization -- merge overlapping capabilities, cap at 5 roles

  2. Key File Inference -- extract nouns from task description, map to likely file paths

  3. output_type derivation:

Task Signal output_type
"write report", "analyze", "research" artifact
"update code", "modify", "fix bug" codebase
"implement feature + write summary" mixed

Classification Rules:

Task Property exec_mode
Single-pass implementation/analysis/documentation csv-wave
Needs iterative user approval interactive
Fix-verify revision cycle interactive
Standard research, coding, testing csv-wave

Wave Computation: Kahn's BFS topological sort with depth tracking.

// After task analysis, generate dynamic role instruction templates
for (const role of analysisResult.roles) {
  const instruction = generateRoleInstruction(role, sessionFolder)
  Write(`${sessionFolder}/role-instructions/${role.name}.md`, instruction)
}

// Generate tasks.csv from dependency graph
const tasks = buildTasksCsv(analysisResult)
Write(`${sessionFolder}/tasks.csv`, toCsv(tasks))
Write(`${sessionFolder}/task-analysis.json`, JSON.stringify(analysisResult, null, 2))

User Validation: Display task breakdown with wave + exec_mode assignment (skip if AUTO_YES).

Success Criteria:

  • tasks.csv created with valid schema, wave, and exec_mode assignments
  • Role instruction templates generated in role-instructions/
  • task-analysis.json written
  • No circular dependencies
  • User approved (or AUTO_YES)

Phase 2: Wave Execution Engine (Extended)

Objective: Execute tasks wave-by-wave with hybrid mechanism support and cross-wave context propagation.

const masterCsv = Read(`${sessionFolder}/tasks.csv`)
let tasks = parseCsv(masterCsv)
const maxWave = Math.max(...tasks.map(t => t.wave))

for (let wave = 1; wave <= maxWave; wave++) {
  console.log(`\nWave ${wave}/${maxWave}`)

  // 1. Separate tasks by exec_mode
  const waveTasks = tasks.filter(t => t.wave === wave && t.status === 'pending')
  const csvTasks = waveTasks.filter(t => t.exec_mode === 'csv-wave')
  const interactiveTasks = waveTasks.filter(t => t.exec_mode === 'interactive')

  // 2. Check dependencies -- skip tasks whose deps failed
  for (const task of waveTasks) {
    const depIds = (task.deps || '').split(';').filter(Boolean)
    const depStatuses = depIds.map(id => tasks.find(t => t.id === id)?.status)
    if (depStatuses.some(s => s === 'failed' || s === 'skipped')) {
      task.status = 'skipped'
      task.error = `Dependency failed: ${depIds.filter((id, i) =>
        ['failed','skipped'].includes(depStatuses[i])).join(', ')}`
    }
  }

  // 3. Execute pre-wave interactive tasks (e.g., plan approval)
  const preWaveInteractive = interactiveTasks.filter(t => t.status === 'pending')
  for (const task of preWaveInteractive) {
    // Read agent definition
    Read(`agents/plan-reviewer.md`)

    const agent = spawn_agent({
      message: `## TASK ASSIGNMENT\n\n### MANDATORY FIRST STEPS\n1. Read: ${sessionFolder}/discoveries.ndjson\n\nGoal: ${task.description}\nScope: ${task.title}\nSession: ${sessionFolder}\n\n### Previous Context\n${buildPrevContext(task, tasks)}`
    })
    const result = wait({ ids: [agent], timeout_ms: 600000 })
    if (result.timed_out) {
      send_input({ id: agent, message: "Please finalize and output current findings." })
      wait({ ids: [agent], timeout_ms: 120000 })
    }
    Write(`${sessionFolder}/interactive/${task.id}-result.json`, JSON.stringify({
      task_id: task.id, status: "completed", findings: parseFindings(result),
      timestamp: getUtc8ISOString()
    }))
    close_agent({ id: agent })
    task.status = 'completed'
    task.findings = parseFindings(result)
  }

  // 4. Build prev_context for csv-wave tasks
  const pendingCsvTasks = csvTasks.filter(t => t.status === 'pending')
  for (const task of pendingCsvTasks) {
    task.prev_context = buildPrevContext(task, tasks)
  }

  if (pendingCsvTasks.length > 0) {
    // 5. Write wave CSV
    Write(`${sessionFolder}/wave-${wave}.csv`, toCsv(pendingCsvTasks))

    // 6. Determine instruction for this wave (use role-specific instruction)
    // Group tasks by role, build combined instruction
    const waveInstruction = buildWaveInstruction(pendingCsvTasks, sessionFolder, wave)

    // 7. Execute wave via spawn_agents_on_csv
    spawn_agents_on_csv({
      csv_path: `${sessionFolder}/wave-${wave}.csv`,
      id_column: "id",
      instruction: waveInstruction,
      max_concurrency: maxConcurrency,
      max_runtime_seconds: 900,
      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" },
          artifacts_produced: { type: "string" },
          error: { type: "string" }
        }
      }
    })

    // 8. Merge results into master CSV
    const results = parseCsv(Read(`${sessionFolder}/wave-${wave}-results.csv`))
    for (const r of results) {
      const t = tasks.find(t => t.id === r.id)
      if (t) Object.assign(t, r)
    }
  }

  // 9. Update master CSV
  Write(`${sessionFolder}/tasks.csv`, toCsv(tasks))

  // 10. Cleanup temp files
  Bash(`rm -f ${sessionFolder}/wave-${wave}.csv ${sessionFolder}/wave-${wave}-results.csv`)

  // 11. Display wave summary
  const completed = waveTasks.filter(t => t.status === 'completed').length
  const failed = waveTasks.filter(t => t.status === 'failed').length
  const skipped = waveTasks.filter(t => t.status === 'skipped').length
  console.log(`Wave ${wave} Complete: ${completed} completed, ${failed} failed, ${skipped} skipped`)
}

Success Criteria:

  • All waves executed in order
  • Both csv-wave and interactive tasks handled per wave
  • Each wave's results merged into master CSV before next wave starts
  • Dependent tasks skipped when predecessor failed
  • discoveries.ndjson accumulated across all waves and mechanisms

Phase 3: Post-Wave Interactive (Completion Action)

Objective: Pipeline completion report and interactive completion choice.

// 1. Generate pipeline summary
const tasks = parseCsv(Read(`${sessionFolder}/tasks.csv`))
const completed = tasks.filter(t => t.status === 'completed')
const failed = tasks.filter(t => t.status === 'failed')

console.log(`
============================================
TASK COMPLETE

Deliverables:
${completed.map(t => `  - ${t.id}: ${t.title} (${t.role})`).join('\n')}

Pipeline: ${completed.length}/${tasks.length} tasks
Duration: <elapsed>
Session: ${sessionFolder}
============================================
`)

// 2. Completion action
if (!AUTO_YES) {
  const choice = AskUserQuestion({
    questions: [{
      question: "Team pipeline complete. What would you like to do?",
      header: "Completion",
      multiSelect: false,
      options: [
        { label: "Archive & Clean (Recommended)", description: "Archive session, output final summary" },
        { label: "Keep Active", description: "Keep session for follow-up work" },
        { label: "Retry Failed", description: "Re-run failed tasks" }
      ]
    }]
  })
  // Handle choice accordingly
}

Success Criteria:

  • Post-wave interactive processing complete
  • User informed of results

Phase 4: Results Aggregation

Objective: Generate final results and human-readable report.

// 1. Export results.csv
Bash(`cp ${sessionFolder}/tasks.csv ${sessionFolder}/results.csv`)

// 2. Generate context.md
const tasks = parseCsv(Read(`${sessionFolder}/tasks.csv`))
let contextMd = `# Team Coordinate Report\n\n`
contextMd += `**Session**: ${sessionId}\n`
contextMd += `**Date**: ${getUtc8ISOString().substring(0, 10)}\n\n`

contextMd += `## Summary\n`
contextMd += `| Status | Count |\n|--------|-------|\n`
contextMd += `| Completed | ${tasks.filter(t => t.status === 'completed').length} |\n`
contextMd += `| Failed | ${tasks.filter(t => t.status === 'failed').length} |\n`
contextMd += `| Skipped | ${tasks.filter(t => t.status === 'skipped').length} |\n\n`

const maxWave = Math.max(...tasks.map(t => t.wave))
contextMd += `## Wave Execution\n\n`
for (let w = 1; w <= maxWave; w++) {
  const waveTasks = tasks.filter(t => t.wave === w)
  contextMd += `### Wave ${w}\n\n`
  for (const t of waveTasks) {
    const icon = t.status === 'completed' ? '[DONE]' : t.status === 'failed' ? '[FAIL]' : '[SKIP]'
    contextMd += `${icon} **${t.title}** [${t.role}] ${t.findings || ''}\n\n`
  }
}

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

// 3. Display final summary
console.log(`Results exported to: ${sessionFolder}/results.csv`)
console.log(`Report generated at: ${sessionFolder}/context.md`)

Success Criteria:

  • results.csv exported (all tasks, both modes)
  • context.md generated
  • Summary displayed to user

Shared Discovery Board Protocol

All agents (csv-wave and interactive) share a single discoveries.ndjson file for cross-task knowledge exchange.

Format: One JSON object per line (NDJSON):

{"ts":"2026-03-08T10:00:00Z","worker":"RESEARCH-001","type":"pattern_found","data":{"pattern_name":"Repository Pattern","location":"src/repos/","description":"Data access layer uses repository pattern"}}
{"ts":"2026-03-08T10:05:00Z","worker":"IMPL-001","type":"file_modified","data":{"file":"src/auth/jwt.ts","change":"Added JWT middleware","lines_added":45}}

Discovery Types:

Type Data Schema Description
pattern_found {pattern_name, location, description} Design pattern identified
file_modified {file, change, lines_added} File change recorded
dependency_found {from, to, type} Dependency relationship discovered
issue_found {file, line, severity, description} Issue or bug discovered
decision_made {decision, rationale, impact} Design decision recorded
artifact_produced {name, path, producer, type} Deliverable created

Protocol:

  1. Agents MUST read discoveries.ndjson at start of execution
  2. Agents MUST append relevant discoveries during execution
  3. Agents MUST NOT modify or delete existing entries
  4. Deduplication by {type, data.file, data.pattern_name} key

Dynamic Role Instruction Generation

The coordinator generates role-specific instruction templates during Phase 1. Each template is written to role-instructions/{role-name}.md and used as the instruction parameter for spawn_agents_on_csv.

Generation Rules:

  1. Each instruction must be self-contained (agent has no access to master CSV)
  2. Use {column_name} placeholders for CSV column substitution
  3. Include session folder path as literal (not placeholder)
  4. Include mandatory discovery board read/write steps
  5. Include role-specific execution guidance based on responsibility_type
  6. Include output schema matching tasks.csv output columns

See instructions/agent-instruction.md for the base instruction template that is customized per role.


Error Handling

Error Resolution
Circular dependency Detect in wave computation, abort with error message
CSV agent timeout Mark as failed in results, continue with wave
CSV agent failed Mark as failed, skip dependent tasks in later waves
Interactive agent timeout Urge convergence via send_input, then close if still timed out
Interactive agent failed Mark as failed, skip dependents
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
No capabilities detected Default to single general role with TASK prefix
All capabilities merge to one Valid: single-role execution, reduced overhead
Task description too vague AskUserQuestion for clarification in Phase 0
Continue mode: no session found List available sessions, prompt user to select
Role instruction generation fails Fall back to generic instruction template

Core Rules

  1. Start Immediately: First action is session initialization, then Phase 0/1
  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 (both csv-wave and interactive)
  4. CSV First: Default to csv-wave for tasks; only use interactive when interaction pattern requires it
  5. Context Propagation: prev_context built from master CSV, not from memory
  6. Discovery Board is Append-Only: Never clear, modify, or recreate discoveries.ndjson
  7. Skip on Failure: If a dependency failed, skip the dependent task
  8. Dynamic Roles: All worker roles are generated at runtime from task analysis -- no static role registry
  9. Cleanup Temp Files: Remove wave-{N}.csv after results are merged
  10. DO NOT STOP: Continuous execution until all waves complete or all remaining tasks are skipped

Coordinator Role Constraints (Main Agent)

CRITICAL: The coordinator (main agent executing this skill) is responsible for orchestration only, NOT implementation.

  1. Coordinator Does NOT Execute Code: The main agent MUST NOT write, modify, or implement any code directly. All implementation work is delegated to spawned team agents. The coordinator only:

    • Spawns agents with task assignments
    • Waits for agent callbacks
    • Merges results and coordinates workflow
    • Manages workflow transitions between phases
  2. Patient Waiting is Mandatory: Agent execution takes significant time (typically 10-30 minutes per phase, sometimes longer). The coordinator MUST:

    • Wait patiently for wait() calls to complete
    • NOT skip workflow steps due to perceived delays
    • NOT assume agents have failed just because they're taking time
    • Trust the timeout mechanisms defined in the skill
  3. Use send_input for Clarification: When agents need guidance or appear stuck, the coordinator MUST:

    • Use send_input() to ask questions or provide clarification
    • NOT skip the agent or move to next phase prematurely
    • Give agents opportunity to respond before escalating
    • Example: send_input({ id: agent_id, message: "Please provide status update or clarify blockers" })
  4. No Workflow Shortcuts: The coordinator MUST NOT:

    • Skip phases or stages defined in the workflow
    • Bypass required approval or review steps
    • Execute dependent tasks before prerequisites complete
    • Assume task completion without explicit agent callback
    • Make up or fabricate agent results
  5. Respect Long-Running Processes: This is a complex multi-agent workflow that requires patience:

    • Total execution time may range from 30-90 minutes or longer
    • Each phase may take 10-30 minutes depending on complexity
    • The coordinator must remain active and attentive throughout the entire process
    • Do not terminate or skip steps due to time concerns