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Skill compression reminder in 100 tokens — just trigger, action, result.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Same skill compression power in half the context — 975 tokens vs 2,500.
Complete skill compression documentation — all options, modes, and calibration details (~2,500 tokens).
Fit more skills in your context window — compress without losing what matters.
Full creative synthesis — combine song, visual concept, and TED talk from a single technical insight
Transform technical insights into full 40-50 minute TED-style talks with concrete examples and Q&A
Transform technical insights into Suno-ready songs with lyrics, style tags, and emotional arc
| name | Skill Distiller (One-Liner) |
| version | 0.2.1 |
| description | Skill compression reminder in 100 tokens — just trigger, action, result. |
| author | Live Neon <lee@liveneon.ai> |
| homepage | https://github.com/live-neon/skills/tree/main/skill-distiller/oneliner |
| repository | live-neon/skills |
| license | MIT |
| user-invocable | true |
| disable-model-invocation | true |
| emoji | 🗜️ |
| tags | ["compression","skills","optimization","context-window","token-reduction","quick-reference","minimal","openclaw"] |
Minimal reference variant (~100 tokens, ~70% functionality, LLM-estimated). Full reference: ../SKILL.reference.md.
TRIGGER: User asks to compress, distill, or reduce a skill's context usage
ACTION: Parse skill into sections (TRIGGER/INSTRUCTION/EXAMPLE/etc), score importance via LLM, remove low-value sections while preserving protected patterns (YAML name/description, N-count tracking, task creation)
RESULT: Compressed skill markdown with functionality score (0-100%), token reduction stats, and list of removed/kept sections
| Variant | Tokens | Functionality |
|---|---|---|
| skill-distiller (main) | ~400 | ~90% (formula) |
| compressed | ~975 | ~90% (prose) |
| oneliner (this) | ~100 | ~70% |
Full reference: SKILL.reference.md (~2,500 tokens, ~90%)
Functionality scores are LLM-estimated.
