Skills
Spec Driven — orchestrator-first Agent Skills for spec-driven development. The orchestrator skill turns a PRD or idea into approved SPECs, tracked GitHub Issues,…
Install
/plugin marketplace add afonsoft/skillsInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Spec Driven
An orchestrator-first collection of Agent Skills for spec-driven development: the orchestrator skill turns a PRD or idea into approved SPECs, tracked GitHub Issues, TDD-implemented slices, QA gates, and reviewed PRs — across Claude Code, OpenCode, Devin, Cursor, and other runtimes.
🚀 Overview
This repository implements Spec-Driven Development (SDD) for AI agents, following the Agent Skills Specification (agentskills.io). At the center is the orchestrator skill: a control loop that audits preconditions, provisions the agent harness, consolidates domain language into approved SPEC SDDs (.specs/SPEC-*.md), fragments work into GitHub Issues, and delegates implementation, review, QA, and documentation to specialized skills — never doing complex work itself.
Every other skill in the catalog is a delegation target in that loop. Instead of generic prompts, each skill provides structured patterns, constraints, and reference materials that allow agents to perform complex software engineering tasks with production-grade quality.
🧭 The Orchestrator
The orchestrator is the entry point and central control skill for agent-driven projects. Invoke it with /spec-driven (alias for /spec-driven:orchestrator, or "use the orchestrator skill") and it runs a continuous loop, delegating complex work to specialized skills and persisting state in .claude/memory/orchestrator_stats.md.
flowchart TD
A[Phase -1: Framework Update] --> B[Phase 0: Governance]
B --> C[Phase 1: Discovery]
C --> D[Phase 2: Audit]
D --> E[Phase 3: GitHub Fragmentation]
E --> F[Phase 4: Implementation Loop]
F --> G[Phase 5: Verification & QA]
G --> H[PR / Merge]
C -->|PRD only| I[/scaffold-mvp\]
C -->|needs spec| J[/write-specs\]
D -->|P2 gap| K[/improve-codebase-architecture\]
E --> L[/create-issues\]
F -->|per slice| M[/execute-specs\]
F -->|bug| N[/diagnose\]
G --> O[/qa-analyst\]
G --> P[/architecture\]
G --> R[/gap-analysis\]
S[/migration-planner\] -.->|domain plans| J
T[/web-design-guidelines\] -.->|finding groups| J
The orchestrator advances automatically between phases once validation passes. It only pauses for escalation gates (security, schema, public APIs, data changes), validation failures, or an explicit user request to stop.
🛠️ Skill Catalog & Correlation
The skills are organized around the orchestrator's pipeline: Harness Engineering, Orchestration & Delivery, Code Quality & Review, Frontend & Design, Extensibility & Integration, and MCP Integrations.
🏗️ Harness Engineering
Foundation for creating and managing AI agents.
create-agent-harness: The starting point. Use this to bootstrap a complete agent environment (CLAUDE.md, rules, skills) in any repo.create-readme: Professionalizes the repository landing page. Generates evidence-based READMEs and SemVer-compliant CHANGELOGs.observability-and-instrumentation: Once the harness is set, use this to ensure the agent's actions and the application's behavior are visible and diagnosable in production.
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