Skills for AgentsComposable AI Agent Instructions

15 domain-specific skills that compose without conflict. Install via npx. Use with any LLM agent.

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Domain-Specific

Each skill owns one aspect — voice, density, craft, process, or content. No overlap. No conflict.

Composable

Layer Caveman + Blogger for terse posts in authentic voice. Pipeline, layer, or hand off between skills.

SIP Framework

Skills Interoperability Protocol ensures every skill composes with every other skill. Precedence rules resolve conflicts.

Framework-Agnostic

Works with Claude Code, Cursor, Windsurf, Codex, and OpenClaude. Any agent that supports system prompts.

Battle-Tested

Skills for ML research, documentation, UI/UX design, incident response, presentations, and more.

15 Skills

Blogger, Caveman, Compress, Documenter, Harden, Learn, Memory, ML Engine, Painter, Planner, Postmortem, Refactor, Researcher, Skill Creator, Slidify.

Why Skills?

Traditional AI prompts are monolithic. One giant instruction set that tries to do everything. When you need multiple capabilities, they conflict.

Skills for Agents gives each concern its own instruction set. They compose through the SIP framework — a shared contract that teaches skills how to work together without breaking each other.

bash

# Install all skills
npx skills-for-agents install

# Use them
/blog technical + /caveman lite
/postmortem → /compress
/refactor → /harden

How It Works

1. Each skill declares its domain — voice, density, craft, process, or content.

2. Skills compose through SIP — pipeline (sequential), layered (simultaneous), or handoff (delegated).

3. Conflicts resolve by precedence — safety > user intent > domain owner > recency > specificity.