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feat: improve 5 lowest-scoring skill definitions#1870

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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#1870
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
lading-optimize-hunt 54% 94% +40%
lading-optimize-submit 57% 97% +40%
lading-optimize-review 66% 90% +24%
release 80% 93% +13%
lading-optimize-find-target 84% 90% +6%

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 with natural trigger terms, removed unknown frontmatter keys, trimmed redundant sections.

In addition, I stress-tested your lading-optimize-hunt 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.

@rohan-tessl rohan-tessl requested a review from a team as a code owner May 7, 2026 06:42
@blt blt closed this May 7, 2026
@DataDog DataDog locked as spam and limited conversation to collaborators May 7, 2026
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