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Improve/skill review optimization#28

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yogesh-tessl wants to merge 2 commits intocoinset-org:mainfrom
yogesh-tessl:improve/skill-review-optimization
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Improve/skill review optimization#28
yogesh-tessl wants to merge 2 commits intocoinset-org:mainfrom
yogesh-tessl:improve/skill-review-optimization

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Hey @cameroncooper 👋

Clean CLI design. The auto-pretty-printing with positional args for required params and flags for optional ones makes the Chia RPC accessible without reading the full node docs. Nice touch including the Homebrew tap alongside go install. Wanted to suggest a few improvements to the SKILL.md.

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
coinset-cli 5% 90% +85%

The big jump is because the SKILL.md was missing YAML frontmatter entirely, which caused the reviewer to skip all LLM evaluation. Once that was fixed, I also made a couple of structural improvements.

Changes made
  • Added YAML frontmatter with a kebab-case name field and a detailed description including domain-specific trigger terms and a "Use when..." clause
  • Moved reference tables to separate files - the conditions opcode reference and known puzzle mod hashes now live in references/conditions.md and references/puzzle-hashes.md, linked from the main skill. This improves progressive disclosure and reduces token cost for the agent
  • Added validation checkpoints to workflows - key workflows like "get puzzle and solution" and "trace coin lineage" now include verification steps and error recovery guidance

Honest disclosure. I work at https://github.com/tesslio where we build tooling around skills like these. Not a pitch - just saw room for improvement and wanted to contribute.

I also added a lightweight GitHub Action that auto-reviews any skill.md changed in a PR (includes min permissions, uses a pinned action version, only posts a review comment).

This means that it gives you and your contributors an instant quality signal before you have to review yourself (no signup, no tokens needed).

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 🙏

Hey @cameroncooper 👋

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 |
|-------|--------|-------|--------|
| coinset-cli | 5% | 90% | +85% |

The big jump is because the SKILL.md was missing YAML frontmatter entirely, which caused the reviewer to skip all LLM evaluation. Once that was fixed, I also made a couple of structural improvements.

<details>
<summary>Changes made</summary>

- **Added YAML frontmatter** with a kebab-case `name` field and a detailed `description` including domain-specific trigger terms and a "Use when..." clause
- **Moved reference tables to separate files** — the conditions opcode reference and known puzzle mod hashes now live in `references/conditions.md` and `references/puzzle-hashes.md`, linked from the main skill. This improves progressive disclosure and reduces token cost for the agent
- **Added validation checkpoints to workflows** — key workflows like "get puzzle and solution" and "trace coin lineage" now include verification steps and error recovery guidance

</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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