skills(experimental/databricks-execution-compute): tighten description to ≤200 chars#107
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…n to ≤200 chars The frontmatter description was a 9-line, 26-trigger paragraph naming every plausible synonym for "run code" and "manage cluster". Replaces with a 175-char clinical sentence that mirrors the stable-side description style (cf. databricks-apps, databricks-dabs, databricks-jobs): state what the skill does, list the languages and compute modes, no 'MUST be invoked' / 'ALWAYS prefer' demands. ## Test plan - `python3 scripts/skills.py validate` passes (description propagates cleanly into manifest.json). This PR was prepared by Claude.
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- Drop ../../../experimental/... cross-skill links that 404 when installed
(skills install flat under ~/.claude/skills/, not under stable/ vs
experimental/). Use plain skill-name references instead.
- Replace ai-dev-kit-specific tag examples ("aidevkit_project") with a
neutral "project": "demo" so a d-a-s skill doesn't bleed a-d-k convention.
- Tighten SKILL.md description from ~870 chars to ~290 chars, matching the
convention being established in PR #107.
Co-authored-by: Isaac
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Summary
Replaces a 9-line, 26-trigger description in
experimental/databricks-execution-compute/SKILL.mdwith a 175-char clinical sentence.Before (482 chars, 26 trigger phrases):
After (175 chars):
Why
Stable-side descriptions are tight (≤200-ish chars, 1–3 sentences, no demand verbs). This experimental import still ships the 26-trigger paragraph from a-d-k. Trigger lists in frontmatter compete with the agent's own keyword extraction and bloat manifest.json without measurable benefit.
Test plan
python3 scripts/skills.py validatepasses — description propagates cleanly into manifest.json.This pull request and its description were written by Claude.