PA

parallel-dev-cycle

Orchestrates four specialized subagents to handle requirements, planning, coding, and validation in parallel.

Install

mkdir -p .claude/skills/parallel-dev-cycle && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/7711" && unzip -o skill.zip -d .claude/skills/parallel-dev-cycle && rm skill.zip

Installs to .claude/skills/parallel-dev-cycle

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Multi-agent parallel development cycle with requirement analysis, exploration planning, code development, and validation. Orchestration runs inline in main flow (no separate orchestrator agent). Supports continuous iteration with markdown progress documentation. Triggers on "parallel-dev-cycle".
296 charsno explicit “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Intermediate

Key capabilities

  • Orchestrate four specialized agents for requirements, planning, development, and validation
  • Maintain append-only change logs and versioned markdown documentation
  • Share codebase discoveries across agents via a shared discovery board
  • Automate multi-iteration development cycles until tests pass or limits are reached
  • Resume development cycles using specific cycle identifiers

How it works

The skill orchestrates four specialized agents inline to perform requirements analysis, planning, coding, and validation. It uses a shared discovery board and versioned markdown files to manage state across iterations.

Inputs & outputs

You give it
Task description or existing cycle ID
You get back
Final cycle report and updated project documentation

When to use parallel-dev-cycle

  • Execute a multi-stage parallel development task
  • Automate requirements gathering and implementation
  • Manage continuous iteration of a coding project

About this skill

Parallel Dev Cycle

Multi-agent parallel development cycle using Codex subagent pattern with four specialized workers:

  1. Requirements Analysis & Extension (RA) - Requirement analysis and self-enhancement
  2. Exploration & Planning (EP) - Codebase exploration and implementation planning
  3. Code Development (CD) - Code development with debug strategy support
  4. Validation & Archival Summary (VAS) - Validation and archival summary

Orchestration logic (phase management, state updates, feedback coordination) runs inline in the main flow — no separate orchestrator agent is spawned. Only 4 worker agents are allocated.

Each agent maintains one main document (e.g., requirements.md, plan.json, implementation.md) that is completely rewritten per iteration, plus auxiliary logs (changes.log, debug-log.ndjson) that are append-only.

Architecture Overview

┌─────────────────────────────────────────────────────────────┐
│                    User Input (Task)                        │
└────────────────────────────┬────────────────────────────────┘
                             │
                             v
              ┌──────────────────────────────┐
              │  Main Flow (Inline Orchestration)  │
              │  Phase 1 → 2 → 3 → 4              │
              └──────────────────────────────┘
                             │
        ┌────────────────────┼────────────────────┐
        │                    │                    │
        v                    v                    v
    ┌────────┐         ┌────────┐         ┌────────┐
    │  RA    │         │  EP    │         │  CD    │
    │Agent   │         │Agent   │         │Agent   │
    └────────┘         └────────┘         └────────┘
        │                    │                    │
        └────────────────────┼────────────────────┘
                             │
                             v
                         ┌────────┐
                         │  VAS   │
                         │ Agent  │
                         └────────┘
                             │
                             v
              ┌──────────────────────────────┐
              │    Summary Report            │
              │  & Markdown Docs             │
              └──────────────────────────────┘

Key Design Principles

  1. Main Document + Auxiliary Logs: Each agent maintains one main document (rewritten per iteration) and auxiliary logs (append-only)
  2. Version-Based Overwrite: Main documents completely rewritten per version; logs append-only
  3. Automatic Archival: Old main document versions automatically archived to history/ directory
  4. Complete Audit Trail: Changes.log (NDJSON) preserves all change history
  5. Parallel Coordination: Four agents launched simultaneously; coordination via shared state and inline main flow
  6. File References: Use short file paths instead of content passing
  7. Self-Enhancement: RA agent proactively extends requirements based on context
  8. Shared Discovery Board: All agents share exploration findings via discoveries.ndjson — read on start, write as you discover, eliminating redundant codebase exploration

Arguments

ArgRequiredDescription
TASKOne of TASK or --cycle-idTask description (for new cycle, mutually exclusive with --cycle-id)
--cycle-idOne of TASK or --cycle-idExisting cycle ID to continue (from API or previous session)
--extendNoExtension description (only valid with --cycle-id)
--autoNoAuto-cycle mode (run all phases sequentially without user confirmation)
--parallelNoNumber of parallel agents (default: 4, max: 4)

Auto Mode

When --auto: Run all phases sequentially without user confirmation between iterations. Use recommended defaults for all decisions. Automatically continue iteration loop until tests pass or max iterations reached.

Prep Package Integration

When prep-package.json exists at {projectRoot}/.workflow/.cycle/prep-package.json, Phase 1 consumes it to:

  • Use refined task description instead of raw TASK
  • Apply auto-iteration config (convergence criteria, phase gates)
  • Inject per-iteration agent focus directives (0→1 vs 1→100)

Prep packages are generated by the interactive prompt /prompts:prep-cycle. See phases/00-prep-checklist.md for schema.

Execution Flow

Input Parsing:
   └─ Parse arguments (TASK | --cycle-id + --extend)
   └─ Convert to structured context (cycleId, state, progressDir)
   └─ Initialize progress tracking: functions.update_plan([...phases])

Phase 1: Session Initialization
   └─ Ref: phases/01-session-init.md
      ├─ Create new cycle OR resume existing cycle
      ├─ Initialize state file and directory structure
      └─ Output: cycleId, state, progressDir

Phase 2: Agent Execution (Parallel)
   └─ Ref: phases/02-agent-execution.md
      ├─ Tasks attached: Spawn RA → Spawn EP → Spawn CD → Spawn VAS → Wait all
      ├─ Spawn RA, EP, CD, VAS agents in parallel
      ├─ Wait for all agents with timeout handling
      └─ Output: agentOutputs (4 agent results)

Phase 3: Result Aggregation & Iteration
   └─ Ref: phases/03-result-aggregation.md
      ├─ Parse PHASE_RESULT from each agent
      ├─ Detect issues (test failures, blockers)
      ├─ Decision: Issues found AND iteration < max?
      │   ├─ Yes → Send feedback via followup_task, loop back to Phase 2
      │   └─ No → Proceed to Phase 4
      └─ Output: parsedResults, iteration status

Phase 4: Completion & Summary
   └─ Ref: phases/04-completion-summary.md
      ├─ Generate unified summary report
      ├─ Update final state
      ├─ Sync session state: $session-sync -y "Dev cycle complete: {iterations} iterations"
      ├─ Close all agents
      └─ Output: final cycle report with continuation instructions

Phase Reference Documents (read on-demand when phase executes):

PhaseDocumentPurpose
1phases/01-session-init.mdSession creation/resume and state initialization
2phases/02-agent-execution.mdParallel agent spawning and execution
3phases/03-result-aggregation.mdResult parsing, feedback generation, iteration handling
4phases/04-completion-summary.mdFinal summary generation and cleanup

Data Flow

User Input (TASK | --cycle-id + --extend)
    ↓
[Parse Arguments]
    ↓ cycleId, state, progressDir

Phase 1: Session Initialization
    ↓ cycleId, state, progressDir (initialized/resumed)

Phase 2: Agent Execution
    ├─ All agents read coordination/discoveries.ndjson on start
    ├─ Each agent explores → writes new discoveries to board
    ├─ Later-finishing agents benefit from earlier agents' findings
    ↓ agentOutputs {ra, ep, cd, vas} + shared discoveries.ndjson

Phase 3: Result Aggregation
    ↓ parsedResults, hasIssues, iteration count
    ↓ [Loop back to Phase 2 if issues and iteration < max]
    ↓ (discoveries.ndjson carries over across iterations)

Phase 4: Completion & Summary
    ↓ finalState, summaryReport

Return: cycle_id, iterations, final_state

Session Structure

{projectRoot}/.workflow/.cycle/
├── {cycleId}.json                                 # Master state file
├── {cycleId}.progress/
    ├── ra/
    │   ├── requirements.md                        # Current version (complete rewrite)
    │   ├── changes.log                            # NDJSON complete history (append-only)
    │   └── history/                               # Archived snapshots
    ├── ep/
    │   ├── exploration.md                         # Codebase exploration report
    │   ├── architecture.md                        # Architecture design
    │   ├── plan.json                              # Structured task list (current version)
    │   ├── changes.log                            # NDJSON complete history
    │   └── history/
    ├── cd/
    │   ├── implementation.md                      # Current version
    │   ├── debug-log.ndjson                       # Debug hypothesis tracking
    │   ├── changes.log                            # NDJSON complete history
    │   └── history/
    ├── vas/
    │   ├── summary.md                             # Current version
    │   ├── changes.log                            # NDJSON complete history
    │   └── history/
    └── coordination/
        ├── discoveries.ndjson                     # Shared discovery board (all agents append)
        ├── timeline.md                            # Execution timeline
        └── decisions.log                          # Decision log

State Management

Master state file: {projectRoot}/.workflow/.cycle/{cycleId}.json

{
  "cycle_id": "cycle-v1-20260122T100000-abc123",
  "title": "Task title",
  "description": "Full task description",
  "status": "created | running | paused | completed | failed",
  "created_at": "ISO8601", "updated_at": "ISO8601",
  "max_iterations": 5, "current_iteration": 0,
  "agents": {
    "ra":  { "status": "idle | running | completed | failed", "output_files": [] },
    "ep":  { "status": "idle", "output_files": [] },
    "cd":  { "status": "idle", "output_files": [] },
    "vas": { "status": "idle", "output_files": [] }
  },
  "current_phase": "init | ra | ep | cd | vas | aggregation | complete",
  "completed_phases": [],
  "requirements": null, "plan": null, "changes": [], "test_results": null,
  "coordination": { "feedback_log": [], "blockers": [] }
}

Recovery: If state corrupted, rebuild from .progress/ markdown files and changes.log.

Progress Tracking

Initialization (MANDATORY)

// Initialize progress tracking after input parsing
functions.update_plan([
  { id: "phase-1", title: "Phase 1: Session Initialization", status: "in_progress" },
  { id: "phase-2", title: "Pha

---

*Content truncated.*

When not to use it

  • Tasks requiring more than four parallel worker agents
  • Projects where content must be passed directly between agents instead of file paths

Limitations

  • Limited to a maximum of four parallel agents
  • Requires file paths for inter-agent communication rather than raw content

How it compares

Unlike manual development, this skill automates the entire lifecycle by coordinating specialized subagents and maintaining a structured audit trail of all changes.

Compared to similar skills

parallel-dev-cycle side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
parallel-dev-cycle (this skill)13moReviewIntermediate
agent-factory89moReviewAdvanced
claude-opus-4-5-migration98moNo flagsBeginner
subagent-driven-development147moNo flagsAdvanced

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