feat: improve skill score for kalibr-sdk-python#164
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yogesh-tessl wants to merge 1 commit intokalibr-ai:mainfrom
Open
feat: improve skill score for kalibr-sdk-python#164yogesh-tessl wants to merge 1 commit intokalibr-ai:mainfrom
yogesh-tessl wants to merge 1 commit intokalibr-ai:mainfrom
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Hey @devonakelley 👋 I ran your skills through `tessl skill review` at work and found some targeted improvements. Here's the full before/after: | Skill | Before | After | Change | |-------|--------|-------|--------| | kalibr | 46% | 93% | +47% | <details> <summary>What changed</summary> - **Description rewritten** — replaced marketing-style tagline with a functional skill description listing concrete actions (configures routers, sets up execution paths, defines success criteria, instruments LLM calls) and an explicit "Use when..." clause with natural trigger terms - **Trimmed trigger list** — consolidated 8 overlapping bullet points down to 4 distinct triggers - **Removed comparison section** — the "How it's different" block explained competitors, which doesn't help Claude use the skill correctly - **Removed duplicate "How it works" section** — the intro paragraph already covers Thompson Sampling and canary traffic - **Added error handling example** — shows `ValueError` for config errors and exception re-raising when all paths fail, matching the actual SDK behavior in `router.py` - **Cleaned up metadata** — flattened nested openclaw metadata to simple string key-value pairs - **Removed OpenClaw install section** — secondary install method that added noise without aiding skill selection </details> 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. Want to self-improve your skills? Just point your agent (Claude Code, Codex, etc.) at [this Tessl guide](https://docs.tessl.io/evaluate/optimize-a-skill-using-best-practices) and ask it to optimize your skill. Ping me - [@yogesh-tessl](https://github.com/yogesh-tessl) - if you hit any snags. Thanks in advance 🙏
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Hey @devonakelley 👋
Self-healing execution harness with Thompson Sampling on real production outcomes, that's a bold architecture bet that moves past static benchmarks. The kalibr auth → kalibr init → kalibr verify onboarding flow is agent-friendly by design. Wanted to suggest a few improvements to the SKILL.md.
I ran your skills through
tessl skill reviewat work and found some targeted improvements. Here's the full before/after:What changed
ValueErrorfor config errors and exception re-raising when all paths fail, matching the actual SDK behavior inrouter.pyHonest 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.
Want to self-improve your skills? Just point your agent (Claude Code, Codex, etc.) at this Tessl guide and ask it to optimize your skill. Ping me - @yogesh-tessl - if you hit any snags.
Thanks in advance 🙏