Team Uidesign

Auto Mode

When --yes or -y: Auto-confirm task decomposition, skip interactive validation, use defaults for scope/industry/constraints.

Team UI Design

Usage

$team-uidesign "Design a button component with tokens and accessibility"
$team-uidesign -c 3 "Create a complete design system for our SaaS dashboard"
$team-uidesign -y "Full design system redesign for healthcare portal"
$team-uidesign --continue "uds-saas-dashboard-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

Systematic UI design pipeline: research existing design system, generate design tokens (W3C Design Tokens Format), audit for quality/accessibility, and implement production code. Roles: researcher, designer, reviewer, implementer -- dynamically assigned as CSV wave tasks with dependency ordering. Supports component (4-task), system (7-task), and full-system (8-task) pipeline modes. Designer <-> Reviewer Generator-Critic loop with max 2 rounds.

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

+-------------------------------------------------------------------+
|                    TEAM UI DESIGN WORKFLOW                          |
+-------------------------------------------------------------------+
|                                                                     |
|  Phase 0: Pre-Wave Interactive (Requirement Clarification)          |
|     +- Parse UI design task description                             |
|     +- Select scope (component/system/full-system), industry        |
|     +- Output: refined requirements for decomposition               |
|                                                                     |
|  Phase 1: Requirement -> CSV + Classification                       |
|     +- Signal detection: keyword scan -> pipeline inference          |
|     +- Pipeline selection (component/system/full-system)             |
|     +- Dependency graph from pipeline definition                     |
|     +- Classify tasks: csv-wave | interactive (exec_mode)            |
|     +- Compute dependency waves (topological sort)                   |
|     +- Generate tasks.csv with wave + exec_mode columns              |
|     +- 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                     |
|     |   +- GC Loop: if audit fails, create DESIGN-fix + AUDIT-re     |
|     +- discoveries.ndjson shared across all modes (append-only)      |
|                                                                     |
|  Phase 3: Post-Wave Interactive (Completion Action)                 |
|     +- Pipeline completion report with deliverables listing          |
|     +- 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:

Classification Decision:

CSV Schema

tasks.csv (Master State)

id,title,description,role,pipeline_mode,scope,audit_type,deps,context_from,exec_mode,wave,status,findings,artifacts_produced,audit_score,audit_signal,error
"RESEARCH-001","Design system analysis","PURPOSE: Analyze existing design system...","researcher","component","full","","","","csv-wave","1","pending","","","","",""
"DESIGN-001","Design tokens + component spec","PURPOSE: Define design tokens...","designer","component","tokens","","RESEARCH-001","RESEARCH-001","csv-wave","2","pending","","","","",""
"AUDIT-001","Design audit","PURPOSE: 5-dimension quality audit...","reviewer","component","full","token-audit","DESIGN-001","DESIGN-001","csv-wave","3","pending","","","","",""

Columns:

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)

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

Output Artifacts

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/         # Per-role instruction templates
|   +-- researcher.md
|   +-- designer.md
|   +-- reviewer.md
|   +-- implementer.md
+-- artifacts/                 # All deliverables
|   +-- research/
|   |   +-- design-system-analysis.json
|   |   +-- component-inventory.json
|   |   +-- accessibility-audit.json
|   |   +-- design-intelligence.json
|   +-- design/
|   |   +-- design-tokens.json
|   |   +-- component-specs/
|   |   +-- layout-specs/
|   +-- audit/
|   |   +-- audit-001.md
|   +-- build/
|       +-- token-files/
|       +-- component-files/
+-- 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 = `uds-${slug}-${dateStr}`
const sessionFolder = `.workflow/.csv-wave/${sessionId}`

Bash(`mkdir -p ${sessionFolder}/artifacts/research ${sessionFolder}/artifacts/design/component-specs ${sessionFolder}/artifacts/design/layout-specs ${sessionFolder}/artifacts/audit ${sessionFolder}/artifacts/build/token-files ${sessionFolder}/artifacts/build/component-files ${sessionFolder}/role-instructions ${sessionFolder}/interactive ${sessionFolder}/wisdom`)

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

Phase 0: Pre-Wave Interactive (Requirement Clarification)

Objective: Parse UI design task, clarify scope/industry/constraints, prepare for decomposition.

Workflow:

1. Parse user task description from $ARGUMENTS

2. Check for existing sessions (continue mode):

   • Scan .workflow/.csv-wave/uds-*/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 scope and industry (skip if AUTO_YES):

   Scope Selection:

   Option	Pipeline	Task Count
   Single component	component	4 tasks (linear)
   Component system	system	7 tasks (dual-track parallel)
   Full design system	full-system	8 tasks (dual-track + final audit)

   Industry Selection:

   Option	Strictness
   SaaS/Tech	standard
   E-commerce/Retail	standard
   Healthcare/Finance	strict (extra accessibility)
   Education/Content	standard
   Other	standard

4. Signal Detection for pipeline selection:

   Signal	Keywords	Pipeline Hint
   Component	component, button, card, input, modal	component
   System	design system, token, theme, multiple components	system
   Full	complete, full, all components, redesign	full-system
   Accessibility	accessibility, a11y, wcag	component or system

5. Complexity Scoring:

   Factor	Points
   Single component	+1
   Component system	+2
   Full design system	+3
   Accessibility required	+1
   Multiple industries/constraints	+1

   Results: 1-2 component, 3-4 system, 5+ full-system.

6. Industry Detection:

   Keywords	Industry
   saas, dashboard, analytics	SaaS/Tech
   shop, cart, checkout	E-commerce
   medical, patient, healthcare	Healthcare
   bank, finance, payment	Finance
   edu, course, learning	Education/Content
   Default	SaaS/Tech

7. Record: pipeline_mode, industry, complexity

Success Criteria:

• Scope, industry, constraints determined
• Pipeline mode selected (component/system/full-system)

Phase 1: Requirement -> CSV + Classification

Objective: Build task dependency graph, generate tasks.csv and per-role instruction templates.

Decomposition Rules:

1. Pipeline Selection based on scope:

   Scope	Pipeline	Tasks
   component	RESEARCH-001 -> DESIGN-001 -> AUDIT-001 -> BUILD-001	4
   system	RESEARCH-001 -> DESIGN-001 -> AUDIT-001 -> [DESIGN-002 + BUILD-001] -> AUDIT-002 -> BUILD-002	7
   full-system	system chain + AUDIT-003 after BUILD-002	8

2. Task Description Template: Every task description uses PURPOSE/TASK/CONTEXT/EXPECTED/CONSTRAINTS format

3. Role Instruction Generation: Write per-role instruction templates to role-instructions/{role}.md using the base instruction template customized for each role (researcher, designer, reviewer, implementer)

Classification Rules:

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

// Generate per-role instruction templates
for (const role of ['researcher', 'designer', 'reviewer', 'implementer']) {
  const instruction = generateRoleInstruction(role, sessionFolder)
  Write(`${sessionFolder}/role-instructions/${role}.md`, instruction)
}

// Generate tasks.csv from pipeline definition
const tasks = buildTasksCsv(pipelineMode, requirement, sessionFolder, industry, constraints)
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))
let gcRound = 0
const MAX_GC_ROUNDS = 2

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 (if any)
  const preWaveInteractive = interactiveTasks.filter(t => t.status === 'pending')
  for (const task of preWaveInteractive) {
    Read(`agents/gc-loop-handler.md`)
    const agent = spawn_agent({
      message: `## TASK ASSIGNMENT\n\n### MANDATORY FIRST STEPS\n1. Read: agents/gc-loop-handler.md\n2. 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. Build instruction per role group
    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" },
          audit_score: { type: "string" },
          audit_signal: { 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. GC Loop Check: if a reviewer task returned fix_required
    const auditResults = results.filter(r => r.id.startsWith('AUDIT') && r.audit_signal === 'fix_required')
    for (const ar of auditResults) {
      if (gcRound < MAX_GC_ROUNDS) {
        gcRound++
        const fixId = `DESIGN-fix-${gcRound}`
        const recheckId = `AUDIT-recheck-${gcRound}`
        tasks.push({
          id: fixId, title: `Fix audit issues (round ${gcRound})`,
          description: `PURPOSE: Address audit feedback from ${ar.id} | Success: All critical/high issues resolved\nTASK:\n- Parse audit feedback for specific issues\n- Apply targeted fixes to design tokens/specs\n- Re-validate affected artifacts\nCONTEXT:\n- Session: ${sessionFolder}\n- Upstream: artifacts/audit/\nEXPECTED: Fixed design artifacts\nCONSTRAINTS: Targeted fixes only`,
          role: 'designer', pipeline_mode: tasks[0].pipeline_mode, scope: 'full',
          audit_type: '', deps: ar.id, context_from: ar.id,
          exec_mode: 'csv-wave', wave: wave + 1, status: 'pending',
          findings: '', artifacts_produced: '', audit_score: '', audit_signal: '', error: ''
        })
        tasks.push({
          id: recheckId, title: `Audit recheck (round ${gcRound})`,
          description: `PURPOSE: Re-audit after fixes | Success: Score >= 8, critical == 0\nTASK:\n- Execute 5-dimension audit on fixed artifacts\n- Focus on previously flagged issues\nCONTEXT:\n- Session: ${sessionFolder}\n- Audit type: token-audit\nEXPECTED: artifacts/audit/audit-recheck-${gcRound}.md`,
          role: 'reviewer', pipeline_mode: tasks[0].pipeline_mode, scope: 'full',
          audit_type: 'token-audit', deps: fixId, context_from: fixId,
          exec_mode: 'csv-wave', wave: wave + 2, status: 'pending',
          findings: '', artifacts_produced: '', audit_score: '', audit_signal: '', error: ''
        })
      }
    }
  }

  // 10. Update master CSV
  Write(`${sessionFolder}/tasks.csv`, toCsv(tasks))

  // 11. Cleanup temp files
  Bash(`rm -f ${sessionFolder}/wave-${wave}.csv ${sessionFolder}/wave-${wave}-results.csv`)

  // 12. 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
• GC loop (designer <-> reviewer) handled with max 2 rounds
• discoveries.ndjson accumulated across all waves and mechanisms

Phase 3: Post-Wave Interactive (Completion Action)

Objective: Pipeline completion report with deliverables listing and interactive completion choice.

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

const deliverables = [
  { name: "Design System Analysis", path: `${sessionFolder}/artifacts/research/design-system-analysis.json` },
  { name: "Component Inventory", path: `${sessionFolder}/artifacts/research/component-inventory.json` },
  { name: "Accessibility Audit", path: `${sessionFolder}/artifacts/research/accessibility-audit.json` },
  { name: "Design Intelligence", path: `${sessionFolder}/artifacts/research/design-intelligence.json` },
  { name: "Design Tokens", path: `${sessionFolder}/artifacts/design/design-tokens.json` },
  { name: "Component Specs", path: `${sessionFolder}/artifacts/design/component-specs/` },
  { name: "Audit Reports", path: `${sessionFolder}/artifacts/audit/` },
  { name: "Token Files", path: `${sessionFolder}/artifacts/build/token-files/` },
  { name: "Component Files", path: `${sessionFolder}/artifacts/build/component-files/` }
]

console.log(`
============================================
UI DESIGN TEAM COMPLETE

Pipeline: ${completed.length}/${tasks.length} tasks (${tasks[0]?.pipeline_mode} mode)
GC Rounds: ${gcRound}/${MAX_GC_ROUNDS}
Session: ${sessionFolder}

Deliverables:
${deliverables.map(d => `  - ${d.name}: ${d.path}`).join('\n')}
============================================
`)

if (!AUTO_YES) {
  // Spawn completion handler interactive agent
  Read(`agents/completion-handler.md`)
  const agent = spawn_agent({
    message: `## TASK ASSIGNMENT\n\n### MANDATORY FIRST STEPS\n1. Read: agents/completion-handler.md\n2. Read: ${sessionFolder}/tasks.csv\n\nGoal: Handle pipeline completion action\nSession: ${sessionFolder}\nDeliverables: ${JSON.stringify(deliverables)}`
  })
  const result = wait({ ids: [agent], timeout_ms: 300000 })
  close_agent({ id: agent })
}

Success Criteria:

• Post-wave interactive processing complete
• User informed of deliverables and pipeline status

Phase 4: Results Aggregation

Objective: Generate final results and human-readable report.

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

const tasks = parseCsv(Read(`${sessionFolder}/tasks.csv`))
let contextMd = `# UI Design Report\n\n`
contextMd += `**Session**: ${sessionId}\n`
contextMd += `**Pipeline**: ${tasks[0]?.pipeline_mode} mode\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}]`
    if (t.audit_score) contextMd += ` Score: ${t.audit_score}/10 (${t.audit_signal})`
    contextMd += ` ${t.findings || ''}\n\n`
  }
}

contextMd += `## Audit Summary\n\n`
const auditResults = tasks.filter(t => t.role === 'reviewer' && t.audit_score)
for (const a of auditResults) {
  contextMd += `- **${a.id}**: Score ${a.audit_score}/10 - ${a.audit_signal}\n`
}

contextMd += `\n## GC Loop Summary\n`
contextMd += `- Rounds used: ${gcRound}/${MAX_GC_ROUNDS}\n`

Write(`${sessionFolder}/context.md`, contextMd)
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 with audit summary
• 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":"tech_stack_detected","data":{"stack":"react","framework":"nextjs","ui_lib":"shadcn"}}
{"ts":"2026-03-08T10:05:00Z","worker":"DESIGN-001","type":"token_generated","data":{"category":"color","count":24,"supports_dark_mode":true}}
{"ts":"2026-03-08T10:10:00Z","worker":"BUILD-001","type":"file_modified","data":{"file":"tokens.css","change":"Generated CSS custom properties","lines_added":85}}
{"ts":"2026-03-08T10:15:00Z","worker":"AUDIT-001","type":"issue_found","data":{"file":"design-tokens.json","line":0,"severity":"high","description":"Missing dark mode variant for semantic color tokens"}}

Discovery Types:

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} key

Pipeline Definitions

Component Mode (4 tasks, linear)

RESEARCH-001 --> DESIGN-001 --> AUDIT-001 --> BUILD-001
[researcher]     [designer]     [reviewer]    [implementer]
   wave 1          wave 2         wave 3        wave 4

System Mode (7 tasks, dual-track parallel)

RESEARCH-001 --> DESIGN-001 --> AUDIT-001 --> DESIGN-002 --+
[researcher]     [designer]     [reviewer]    [designer]    |
                                              BUILD-001   --+--> AUDIT-002 --> BUILD-002
                                              [implementer]      [reviewer]    [implementer]
   wave 1          wave 2         wave 3        wave 4            wave 5        wave 6

Full-System Mode (8 tasks, dual-track + final audit)

Same as System + AUDIT-003 after BUILD-002

BUILD-002 --> AUDIT-003
              [reviewer: final-audit]
   wave 6      wave 7

Generator-Critic Loop (designer <-> reviewer)

designer (Generator) -> design artifacts -> reviewer (Critic)
                      <- audit feedback  <-
                         (max 2 rounds)

Convergence: audit.score >= 8 AND audit.critical_count === 0

Error Handling

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. GC Loop Cap: Max 2 generator-critic rounds between designer and reviewer
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.

15. 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

16. 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

17. 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" })

18. 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

19. 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