skill-creator

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Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

AI & Automation 51,671 stars 4954 forks Updated today AGPL-3.0

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Skill Content

## Cherry Studio workflow (READ FIRST — overrides packaging / install steps below) You are running inside Cherry Studio. Skills live in a managed registry that Cherry keeps in sync with the filesystem automatically — there is **no** install or register tool to call, and you should **ignore** any `package_skill.py` / `.skill` packaging steps mentioned later in this file (they apply to Claude Code / Claude.ai, not here). **To create a new skill, write it straight into Cherry's managed skills directory:** 1. Resolve the directory once by running `echo "$CHERRY_STUDIO_SKILLS_DIR"` in Bash. That folder is Cherry's managed skill library. 2. Create `$CHERRY_STUDIO_SKILLS_DIR/<skill-folder-name>/` and write `SKILL.md` plus any supporting files (`scripts/`, `references/`, `assets/`) into it with your normal file tools. 3. That's it. Cherry's skill sync detects the new directory, registers it in the catalog, and lists it in the app — no register step. You can re-edit the files in place at any time and the changes are picked up on the next sync. Use a lowercase, hyphenated `<skill-folder-name>` (e.g. `my-cool-skill`). The `name:` field inside your `SKILL.md` frontmatter must match the folder name and use only lowercase letters, numbers, and hyphens (e.g. `name: my-cool-skill` with folder `my-cool-skill`), per the Agent Skills spec — it is not a free-form display name. Eval / test workspaces (`<skill-name>-workspace/`, `iteration-*/`, etc.) from the evaluation loop de...

Details

Author
CherryHQ
Repository
CherryHQ/cherry-studio
Created
2 years ago
Last Updated
today
Language
TypeScript
License
AGPL-3.0

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