Distill a verbose developer-facing prompt into a concise, token-efficient LLM-facing prompt while retaining essential instructions.
Scanned 6/2/2026
Install via CLI
Skills Directoryopenskills install majiayu000/claude-skill-registry---
name: distill-prompt
description: Distill a verbose developer-facing prompt into a concise, token-efficient LLM-facing prompt while retaining essential instructions.
---
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]
---
No comments yet. Be the first to comment!
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
