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docs(skills): salvage dropped trigger content into skill bodies

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For 14 of 74 compressed skills, the original description contained
trigger keywords, technique counts, attribution, or use-case phrases
not covered by the existing body content. Prepends a 'When to use' /
'What's inside' block near the top so the agent still has the full
context when the skill is loaded.

Skills salvaged:
- codex, ascii-video, creative-ideation, excalidraw, manim-video, p5js
- gif-search, heartmula, youtube-content
- lm-evaluation-harness, obliteratus, vllm, axolotl
- powerpoint

Remaining 60 skills were verified to already cover the dropped content
in their existing body sections (When to Use, overview, intro prose)
or had short descriptions fully captured by the new compressed form.
This commit is contained in:
Teknium 2026-04-26 21:50:26 -07:00 • committed by Teknium
parent e3921e7ca4
commit 9f1b1977bc
14 changed files with 66 additions and 1 deletions
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2
skills/media/heartmula/SKILL.md
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@ -11,7 +11,7 @@ metadata:
# HeartMuLa - Open-Source Music Generation
## Overview
HeartMuLa is a family of open-source music foundation models (Apache-2.0) that generates music conditioned on lyrics and tags. Comparable to Suno for open-source. Includes:
HeartMuLa is a family of open-source music foundation models (Apache-2.0) that generates music conditioned on lyrics and tags, with multilingual support. Generates full songs from lyrics + tags. Comparable to Suno for open-source. Includes:
- **HeartMuLa** - Music language model (3B/7B) for generation from lyrics + tags
- **HeartCodec** - 12.5Hz music codec for high-fidelity audio reconstruction
- **HeartTranscriptor** - Whisper-based lyrics transcription