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feat: improve 5 lowest-scoring skill definitions#235

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rohan-tessl wants to merge 1 commit intoDataDog:mainfrom
rohan-tessl:improve/skill-review-optimization
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feat: improve 5 lowest-scoring skill definitions#235
rohan-tessl wants to merge 1 commit intoDataDog:mainfrom
rohan-tessl:improve/skill-review-optimization

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@rohan-tessl
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Hey @DataDog 👋

I ran your skills through tessl skill review at work and found targeted improvements in your skills. Here's the before/after:

Skill Before After Change
improve-test-coverage 54% 90% +36%
fix-local-tests 63% 97% +34%
implement-posix-command 65% 90% +25%
improve-loop 60% 75% +15%
address-pr-comments 68% 79% +11%

These were easy changes to bring the skill's structure and activation in line with what performs well against Anthropic's best practices. Quoted descriptions, added "Use when" clauses, removed unknown argument-hint frontmatter keys, expanded descriptions with concrete actions and trigger terms.

In addition, I stress-tested your improve-loop skill against a few real-world scenarios, and it held up really well. This means that your skill meaningfully improves agent steering and contributes to stronger output quality. Kudos for that!

Honest disclosure, I work at @tesslio where we build tooling around skills like these. Not a pitch, just saw room for improvement and wanted to contribute.

If you want to self-improve your skills, or define your own scenarios to pressure test, just ask your agent (Claude Code, Codex, etc.) to evaluate and optimize your skill with Tessl. Ping me @rohan-tessl, if you hit any snags.

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