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e9dff6b3d2bc0344d8667255b690a1c9a9bf978b
How-to guide covering the full description optimization workflow: writing effective descriptions, designing trigger eval queries (should-trigger and should-not-trigger with near-miss examples), testing trigger rates with a bash eval script, train/validation splits to avoid overfitting, and the iterative optimization loop. The guide is client-agnostic by default but includes a working Claude Code example in the `check_triggered` function using `--output-format json` and `jq` to detect `Skill` tool calls. Adds the page to the "For skill creators" navigation group in `docs.json`. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
e9dff6b3d2
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2026-03-05 11:28:23 -06:00
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Agent Skills
Agent Skills are a simple, open format for giving agents new capabilities and expertise.
Skills are folders of instructions, scripts, and resources that agents can discover and use to perform better at specific tasks. Write once, use everywhere.
Getting Started
- Documentation - Guides and tutorials
- Specification - Format details
- Example Skills - See what's possible
This repo contains the specification, documentation, and reference SDK. Also see a list of example skills here.
About
Agent Skills is an open format maintained by Anthropic and open to contributions from the community.
License
Code in this repository is licensed under Apache 2.0. Documentation is licensed under CC-BY-4.0. See individual directories for details.
Description
Languages
Python
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Shell
0.9%