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skill-creatorlisted

Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like "create a skill", "new skill", "make a skill", "skill for X", "how do I create a skill", or "help me build a skill".
aiskillstore/marketplace · ★ 334 · AI & Automation · score 80
Install: claude install-skill aiskillstore/marketplace
# Skill Creator This skill provides guidance for creating effective skills. ## About Skills Skills are modular, self-contained packages that extend agent capabilities by providing specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific domains or tasks—they transform a general-purpose agent into a specialized agent equipped with procedural knowledge and domain expertise. ### Skill Location for Deepagents In deepagents CLI, skills are stored in `~/.deepagents/<agent>/skills/` where `<agent>` is your agent configuration name (default is `agent`). For example, with the default configuration, skills live at: ``` ~/.deepagents/agent/skills/ ├── skill-name-1/ │ └── SKILL.md ├── skill-name-2/ │ └── SKILL.md └── ... ``` ### What Skills Provide 1. Specialized workflows - Multi-step procedures for specific domains 2. Tool integrations - Instructions for working with specific file formats or APIs 3. Domain expertise - Company-specific knowledge, schemas, business logic 4. Bundled resources - Scripts, references, and assets for complex and repetitive tasks ## Core Principles ### Concise is Key The context window is a public good. Skills share the context window with everything else the agent needs: system prompt, conversation history, other Skills' metadata, and the actual user request. **Default assumption: The agent is already very capable.** Only add context the agent doesn't already have. Challenge each piece of information: "Doe