Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

learn-skill

Capture a reusable learning from the current session and persist it as a new skill, or fold it into an existing one. Use at the end of a session, or whenever a non-obvious workflow, fix, command sequence, or gotcha was discovered that would save time if it were reusable. Writes only to the project-local target (.pi/skills by default); protected locations such as the home folder are never modified in place — a relevant protected skill is migrated (copied) locally first, then updated.

121 repo starsObserved in 1 repos

Agent Building

GitHub

pi-skill-authoring

Author a correct, well-triggered Pi skill (SKILL.md) — frontmatter rules, name constraints, progressive-disclosure description writing, structure, and validation. Use when creating a new skill by hand or reviewing an existing SKILL.md for spec compliance. For deciding WHETHER a session learning is worth capturing, use learn-skill instead; this skill covers HOW to write the file correctly.

121 repo starsObserved in 1 repos

Agent Building

GitHub

using-colin

How to use Colin to compile agent skills from live sources. Use when working with Colin projects, templates, compilation, or skill management.

120 repo starsObserved in 3 repos

Agent Building

GitHub

agent-security-audit

Audit AI agent configurations for security risks — excessive permissions, prompt injection surfaces, data exfiltration paths, and missing guardrails. Use when reviewing CLAUDE.md files, MCP configs, agent orchestration code, or any AI agent setup.

120 repo starsObserved in 2 repos

Agent Building

GitHub

agentic-ai-risk-assess

Assess agentic AI applications against the OWASP Top 10 for Agentic Applications 2026. Use when reviewing autonomous AI agents, multi-agent systems, or agentic workflows for security risks including goal hijacking, tool misuse, privilege abuse, and rogue agent behavior.

120 repo starsObserved in 2 repos

Agent Building

GitHub

mcp-server-review

Security review of MCP (Model Context Protocol) server implementations and configurations. Use when auditing MCP server source code, evaluating third-party MCP servers before installation, or reviewing Claude Code MCP integrations for overpermissioning, injection risks, and data exposure.

120 repo starsObserved in 2 repos

Agent Building

GitHub

3dgs-mcp-renderer

MCP protocol integration with 3DGS rendering pipeline: Agent-controlled Three.js/WebGPU rendering, voice-driven scene reconstruction, real-time parameter manipulation, light tracing backend. Use when: MCP rendering, agent-controlled 3DGS, voice-driven reconstruction, real-time 3DGS editing, Three.js 3DGS, WebGPU Gaussian splatting, interactive rendering control, speech-to-3D, light tracing, HiGS accelerated rendering.

120 repo starsObserved in 1 repos

Agent Building

GitHub

build-implementation

Generate context-aware implementation prompts for a selected growth loop. Use when the user says "build", "implement", "generate code", "create prompt", or "how do I build this".

120 repo starsObserved in 1 repos

Agent Building

GitHub

nomifun-skills

Access the Nomi Skills registry — discover and download AI agent skills. Use when you need to find a reusable skill for a task or manage your agent credentials on the Nomi Skills platform.

120 repo starsObserved in 1 repos

Agent Building

GitHub

prompt-optimization

Improve and rewrite user prompts to reduce ambiguity and improve LLM output quality. Use when a user asks to optimize, refine, clarify, or rewrite a prompt for better results, or when the request is about prompt optimization or prompt rewriting.

119 repo starsObserved in 4 repos

Agent Building

GitHub