Spec-driven autopilot with banned-pattern/assertion-quality L2 hooks, sad-path quantification, requirement routing intelligence, event bus API, batch scheduler concurrency engine, 3-layer gate system, TDD deterministic RED-GREEN-REFACTOR cycle, and comprehensive quality assurance pipeline
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Use when the user wants to discover, install, list, hot-swap, or get recommendations for phase-specific autopilot sub-agents sourced from community catalogs (OMC, Anthropic official, VoltAgent, etc.), or when the autopilot setup flow needs to resolve a missing agent for a given phase.
Use when the autopilot orchestrator main thread is about to dispatch a phase-specific sub-agent via the Task tool and needs the JSON envelope contract, explicit path injection, and parameterized prompt templates. Not for direct user invocation; skip when the current context is not the autopilot orchestrator.
Use when the user runs /autopilot-docs-fix scan|apply or asks to convert documentation drift candidates into git-applicable patches or manual suggestion templates under human confirmation.
Use when the autopilot orchestrator or pre-commit hook needs deterministic static detection of documentation drift between SKILL.md, runtime scripts, CLAUDE.md and their README / .dist-include / root plugin table targets.
Use when an autopilot phase boundary is reached and gate verification + checkpoint + event emission are required before advancing to the next phase.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
中文版 | English (default)
A Claude Code plugin marketplace — spec-driven autopilot orchestration and parallel AI engineering control-plane.
| Plugin | Version | Description |
|---|---|---|
| spec-autopilot | 5.15.3 | Spec-driven autopilot orchestration for delivery pipelines — 8-phase workflow with 3-layer gate system and crash recovery |
| parallel-harness | 1.9.1 | Parallel AI engineering control-plane — task-graph scheduling, 9-gate system, RBAC governance, cost-aware model routing |
| daily-report | 1.3.0 | Auto-generate and submit daily work reports from git commits and Lark chat history |
| figma-codegen | 1.0.0 | Translate Figma designs into production-ready code with 1:1 visual fidelity (adapted from OpenAI figma-implement-design) |
| slim-task | 0.8.1 | Structured 7-phase task execution SOP with multi-language & worktree support — session init, requirements clarification, impact scoping, DAG-based parallel dispatch, blind-audit quality review |
# 1. Add marketplace
claude plugin marketplace add stoicatom/claude-autopilot
# 2. Install spec-autopilot (project-level)
claude plugin install spec-autopilot@stoicatom-plugins --scope project
# 3. Install parallel-harness (project-level)
claude plugin install parallel-harness@stoicatom-plugins --scope project
# 4. Install daily-report (project-level)
claude plugin install daily-report@stoicatom-plugins --scope project
# 5. Install figma-codegen (project-level)
claude plugin install figma-codegen@stoicatom-plugins --scope project
# 6. Install slim-task (project-level)
claude plugin install slim-task@stoicatom-plugins --scope project
# 7. Restart Claude Code
spec-autopilot is a Claude Code plugin that automates the full software delivery lifecycle: from requirements gathering through implementation, testing, reporting, and archival.
events.jsonl + WebSocketgraph TB
subgraph "Main Thread (Orchestrator)"
P0[Phase 0: Environment Check<br/>+ Crash Recovery]
P1[Phase 1: Requirements<br/>Multi-round Decision Loop]
P7[Phase 7: Summary<br/>+ User-confirmed Archive]
end
subgraph "Sub-Agents (via Task tool)"
P2[Phase 2: Create OpenSpec]
P3[Phase 3: FF Generate]
P4[Phase 4: Test Design]
P5[Phase 5: Implementation<br/>Serial / Parallel / TDD]
P6[Phase 6: Test Report]
end
P0 --> P1
P1 -->|Gate| P2
P2 -->|Gate| P3
P3 -->|Gate| P4
P4 -->|Gate| P5
P5 -->|Gate| P6
P6 --> P7
style P0 fill:#e1f5fe
style P1 fill:#e1f5fe
style P7 fill:#e1f5fe
style P4 fill:#fff3e0
style P5 fill:#fff3e0
parallel-harness is a Claude Code plugin that provides a task-graph-driven parallel AI engineering platform. It enables multi-agent orchestration with strict governance, cost control, and quality gates.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimnpx claudepluginhub stoicatom/claude-autopilot --plugin spec-autopilotTranslate Figma designs into production-ready code with 1:1 visual fidelity. Adapted from OpenAI's official figma-implement-design skill, with Claude Code-native MCP integration and design system token mapping.
stoicatomParallel AI engineering control-plane plugin — task-graph scheduling, file ownership isolation, cost-aware model routing, 9-gate quality system, RBAC governance, and audit trail
stoicatomAuto-generate and submit daily work reports from git commits and Lark chat history
stoicatomStructured 7-phase task execution SOP with multi-language and worktree support — session init, requirements clarification, best-practice research, impact scoping, DAG-based parallel dispatch, blind-audit quality review by independent sub-agents, and commit confirmation
stoicatomUpload files and directories to Aliyun OSS (Object Storage Service)
lorainwingsUnified spec-to-execution workflow system. Combines spec rigor, autonomous execution, and native task orchestration with parallel agent dispatch. Swarms-ready architecture.
sighupSkills-first specification-driven development framework with 7 agent skills for planning, implementation, review, and shipping. Natural language activation with intelligent agent orchestration. Includes /plan, /implement, /research commands plus managing-specifications, implementing-features, and reviewing-and-shipping skills.
jeanlucianoMulti-agent orchestration framework for Claude Code, Gemini CLI, and Codex CLI — 19 agents, 14 skills, 16 commands, quality gates, TDD enforcement
dsifrySPEC-First development workflow with TDD, Ralph Loop, and autonomous agent coordination for Claude Code
changoo89Specification-first AI harness: 11 structural gates, 11 Ouroboros commands, 11 agent personas, and 3-tier architecture enforcement. v2.1: Pair Mode (Navigator-Driver + independent test design + /review command).
studioKjmPersona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
bdfinst