feat: improve skill scores for GeneralizedNotationNotation#10
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yogesh-tessl wants to merge 1 commit intoActiveInferenceInstitute:mainfrom
Open
feat: improve skill scores for GeneralizedNotationNotation#10yogesh-tessl wants to merge 1 commit intoActiveInferenceInstitute:mainfrom
yogesh-tessl wants to merge 1 commit intoActiveInferenceInstitute:mainfrom
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Hey @docxology 👋 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 | |-------|--------|-------|--------| | gnn-api | 29% | 95% | +66% | | gnn-cli-dispatch | 69% | 83% | +14% | | gnn-pipeline | 89% | 100% | +11% | | gnn-parsing | 89% | 94% | +5% | | gnn-mcp-protocol | 79% | 84% | +5% | **Note:** Two skills (`gnn-api` and `gnn-cli-dispatch`) had formatting issues that blocked evaluation — `gnn-api` had a non-kebab-case name (`API`) and `gnn-cli-dispatch` was missing YAML frontmatter entirely. I fixed those first to get meaningful baseline scores, then optimized from there. Changes: - gnn-api — Rewrote from stub to full skill with proper description, concrete API examples, HTTP workflow with curl commands, and references - gnn-cli-dispatch — Added YAML frontmatter with description and "Use when" clause, replaced comment-only programmatic section with a recommended workflow, added references - gnn-pipeline — Trimmed redundant intro sections, added validation checkpoints between pipeline phases with error recovery guidance - gnn-parsing — Added a recommended discover/parse/validate workflow with error handling, removed duplicated Documentation section - gnn-mcp-protocol — Expanded description with more concrete trigger terms, added recommended workflow with tool registration verification, removed duplicated Documentation section 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 - if you hit any snags. Thanks in advance 🙏
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Hey @docxology 👋
A 25-step processing pipeline for formalising Active Inference generative models into standardised text notation. The combination of DOI-registered research rigor with practical CLAUDE.md integration shows you're serious about making this both academically sound and agent-usable. 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:Changes Summary
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 - if you hit any snags.
Thanks in advance 🙏