distill-prompt
Distill a verbose developer-facing prompt into a concise, token-efficient LLM-facing prompt while retaining essential instructions.
npx skills add majiayu000/claude-skill-registry --skill distill-prompt-charly-vibes-wai-2 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
Analyze the provided DEVELOPER-FACING PROMPT. Your task is to distill it into a concise, token-efficient, LLM-FACING PROMPT. The distilled prompt must retain only the essential instructions, rules, and structured commands required for the LLM to perform its task. You MUST REMOVE: 1. All front-matter and metadata (e.g., title, tags, status, version, related, source). 2. All explanatory sections intended for humans (e.g., "When to Use," "Notes," "Example," "References," "Philosophy"). 3. Descriptive introductions, justifications, and conversational text. 4. Verbose examples. Summarize them only if they are essential for defining a format. The final output should be a clean, direct set of instructions for the LLM, with no additional commentary from you. DEVELOPER-FACING PROMPT: --- [Paste the verbose prompt content here] ---
What does the distill-prompt skill do?
Distill a verbose developer-facing prompt into a concise, token-efficient LLM-facing prompt while retaining essential instructions.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill distill-prompt-charly-vibes-wai-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.