Skill Creator
This is meta tooling for building other skills on the platform. It walks you through the full cycle: capturing intent, writing the SKILL.md with proper frontmatter, creating test cases, running evals, and iterating based on results. The workflow is solid: draft, test with actual prompts, review quantitative and qualitative feedback, rewrite, repeat. It even includes a separate optimizer for skill descriptions to improve triggering accuracy, which matters since Claude apparently undertriggers skills by default. Most useful when you're building something with objectively verifiable outputs where you actually want benchmarks. The progressive disclosure system it enforces (metadata, body, bundled resources) keeps context manageable while letting you attach unlimited reference material.
- skills.sh installs
- 2.4K
- GitHub stars
- 85.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add bytedance/deer-flow --skill skill-creator --agent claude-codeInstalls into .claude/skills of the current project.
Files
Skill Creator
A skill for creating new skills and iteratively improving them.
At a high level, the process of creating a skill goes like this:
- Decide what you want the skill to do and roughly how it should do it
- Write a draft of the skill
- Create a few test prompts and run claude-with-access-to-the-skill on them
- Help the user evaluate the results both qualitatively and quantitatively
- While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you can either use as is or modify if you feel something needs to change about them). Then explain them to the user (or if they already existed, explain the ones that already exist)
- Use the
eval-viewer/generate_review.pyscript to show the user the results for them to look at, and also let them look at the quantitative metrics
- Rewrite the skill based on feedback from the user's evaluation of the results (and also if there are any glaring flaws that become apparent from the quantitative benchmarks)
- Repeat until you're satisfied
- Expand the test set and try again at larger scale
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- Repository
- github.com/bytedance/deer-flow
- Categories
- Testing & QA, Skill Development, Debugging
- First seen
- May 16, 2026
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