agent-skills: Reusable AI Agent Skills for Specification-Driven Development
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Summary
agent-skills is a comprehensive collection of reusable AI agent skills designed for specification-driven and autonomous development. It streamlines the entire software development lifecycle, from generating requirements and designs to implementing, reviewing, testing, and orchestrating the process. This repository empowers developers to leverage AI for enhanced productivity and consistent quality.
Repository Information
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Introduction
agent-skills is a powerful collection of reusable AI agent skills designed to streamline the entire software development lifecycle through specification-driven and autonomous development. This repository provides a comprehensive suite of tools, from generating detailed requirements and designs to automating implementation, code review, testing, and project orchestration. It aims to enhance developer productivity, ensure consistent quality, and enable advanced autonomous development workflows.
Installation
To get started with agent-skills, you can install all skills globally or choose to install individual skills as needed.
# Install all skills
npx skills add anyoneanderson/agent-skills -g -y
# Install individual skills, for example:
npx skills add anyoneanderson/agent-skills --skill spec-generator -g -y
npx skills add anyoneanderson/agent-skills --skill spec-writing -g -y
# ... and so on for other skills
Note: The cmux skills require cmux (macOS 14.0+) and must be executed within a cmux session.
Examples
Here are some quick start examples demonstrating how to use agent-skills:
Generate Specifications
> Generate requirements
> Create a design document for a todo-app
> Create a task list for a todo-app
> Generate all specifications for an e-commerce site
Resume Session Across Sessions
> handover write
> handover boot
> handover install
> handover status
Inspect Specification Quality
> Inspect specifications
> Quality check
> Validate specifications
Implement a Single Task
> /spec-code --issue 42 --task T-003 --spec .specs/auth-feature/
> /spec-code --task T-007 --feedback .specs/feature/review-T-007.md
Orchestrate the Entire Pipeline from Spec to PR
> Implement from spec --issue 42
> Start implementation --spec .specs/auth-feature/
> Resume implementation --resume
Set Up Autonomous Harness Development
Prerequisite: First, run /spec-rules-init and /spec-workflow-init. Harness consumes the coding-rules.md, review_rules.md, and issue-to-pr-workflow.md generated by these.
> Initialize harness # harness-init: Introduces the control loop
> Plan epic # harness-plan: Drafts product-spec ? roadmap ? tracker Issue
> Run harness-loop # harness-loop: Autonomous Generator ? Evaluator sprint ? PR
> Run harness-loop --mode autonomous-ralph
Why Use It
agent-skills offers a comprehensive suite of tools that significantly enhance the development process by leveraging AI. It provides:
- Specification Management: Skills like
spec-generator,spec-writing, andspec-inspectautomate the creation, refinement, and validation of project specifications, ensuring clarity and consistency from the outset.spec-to-issuecan even convert specifications into structured GitHub Issues. - Development Automation: From
spec-codefor autonomous task implementation tospec-reviewfor structured code reviews andspec-testfor test creation and execution,agent-skillscovers the core development cycle.spec-implementandspec-orchestratecan manage the entire pipeline from specification to Pull Request. - Agent Collaboration: Features like
handoverfacilitate session continuity, whilecmux-fork,cmux-delegate,cmux-second-opinion, andagent-delegateenable seamless collaboration and adversarial reviews between different AI agents, even across various LLM CLIs viamagi. - Autonomous Development (Harness Engineering): For advanced users, the Harness Engineering suite (
harness-init,harness-plan,harness-loop) introduces a self-driving development loop, allowing AI agents to plan epics, manage sprints, and iterate towards Pull Request creation with minimal human intervention. - Compatibility: The skills are designed to work with a wide range of SKILL.md format-compatible agents, including Claude Code, Cursor, Codex, Gemini CLI, and OpenCode, ensuring broad applicability across different AI development environments.
Links
- GitHub Repository: https://github.com/anyoneanderson/agent-skills
- License: MIT License
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Source repository
Open the original repository on GitHub.