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feat: improve generate-smoke-test skill score (85% → 92%)#75

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feat: improve generate-smoke-test skill score (85% → 92%)#75
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Hey @gjtorikian 👋

the way you've structured the skills around the SDK generation lifecycle is really well thought out. Having separate skills for emitter generation, extraction, smoke testing, and compatibility checks maps cleanly to the actual workflow of maintaining a generated SDK.

ran your skills through tessl skill review at work and found some targeted improvements for generate-smoke-test. Here's the full before/after:

Skill Before After Change
generate-smoke-test 85% 92% +7%
Changes made to generate-smoke-test
  • Consolidated operations map references - the .oagen-manifest.json explanation was repeated across Steps 2, 3, 5, and the Emitter-Fixing Loop. Kept the authoritative explanation in Step 2 and replaced the others with concise back-references.
  • Replaced interception prose with a table - Step 1 listed language-specific interception libraries in prose format. A 5-row table conveys the same information more efficiently.
  • Extracted implementation patterns to a reference file - moved the concrete buildArgs() template and full smoke script skeleton to references/implementation-patterns.md, improving progressive disclosure while keeping the main SKILL.md focused on workflow.
  • Trimmed redundant explanatory text - removed a self-describing sentence in the overview that restated what the structure already communicates.

quick 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.

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 @yogesh-tessl, if you hit any snags.

Hey @gjtorikian 👋

I ran your skills through `tessl skill review` at work and found some targeted improvements for `generate-smoke-test`. Here's the full before/after:

| Skill | Before | After | Change |
|-------|--------|-------|--------|
| generate-smoke-test | 85% | 92% | +7% |
| review-operations | 100% | 100% | — |
| generate-emitter | 93% | 93% | — |
| check-emitter-parity | 90% | 90% | — |
| generate-sdk | 90% | 90% | — |
| verify-compat | 90% | 90% | — |
| generate-extractor | 90% | 90% | — |
| verify-smoke-test | 90% | 90% | — |
| integrate | 85% | 85% | — |

<details>
<summary>Changes made to <code>generate-smoke-test</code></summary>

- **Consolidated operations map references** — the `.oagen-manifest.json` explanation was repeated across Steps 2, 3, 5, and the Emitter-Fixing Loop. Kept the authoritative explanation in Step 2 and replaced the others with concise back-references.
- **Replaced interception prose with a table** — Step 1 listed language-specific interception libraries in prose format. A 5-row table conveys the same information more efficiently.
- **Extracted implementation patterns to a reference file** — moved the concrete `buildArgs()` template and full smoke script skeleton to `references/implementation-patterns.md`, improving progressive disclosure while keeping the main SKILL.md focused on workflow.
- **Trimmed redundant explanatory text** — removed a self-describing sentence in the overview that restated what the structure already communicates.

</details>

I also stress-tested your `generate-emitter` skill against a few real-world task evals and it held up really well on scaffolding a Go emitter with full `SdkBehavior` integration and operations map support. 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.

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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