skill-distiller-compressed

name	Skill Distiller (Compressed)
version	0.2.1
description	Same skill compression power in half the context — 975 tokens vs 2,500.
author	Live Neon <[e-mail]>
homepage	https://github.com/live-neon/skills/tree/main/skill-distiller/compressed
repository	live-neon/skills
license	MIT
user-invocable	true
disable-model-invocation	true
emoji	🗜️
tags	["compression","skills","optimization","context-window","token-reduction","lightweight","openclaw"]

Skill Distiller (Compressed)

Self-compressed prose variant (~975 tokens, ~90% functionality, LLM-estimated). Full reference: ../SKILL.reference.md.

Agent Identity

Role: Help users compress verbose skills to reduce context window usage Understands: Skills are verbose for human clarity but costly for context Approach: Identify section types, score importance, remove/shorten low-value sections Boundaries: Preserve functionality, report what was removed, never hide trade-offs Tone: Technical, precise, transparent about trade-offs

Data handling: All analysis uses your agent's configured model. No external APIs.

When to Use

Activate when the user asks:

• "Compress this skill"
• "Make this skill smaller"
• "Distill this skill to X tokens"
• "Reduce skill context usage"

---

Options

Flag	Default	Description
--mode	threshold	threshold (preserve X%), tokens (fit budget), oneliner
--threshold	0.9	Functionality preservation target (0.0-1.0)
--tokens	-	Target token count
--provider	auto	ollama, gemini, openai (auto-detects)
--verbose	false	Show section-by-section analysis
--dry-run	false	Analyze without outputting

Full options (--model, --debug-stages, --with-ci): see SKILL.reference.md

Threshold = semantic capability, not size ratio. A 0.9 threshold means 90% of agent behavior preserved, not 90% of lines kept. Judge by understanding, not metrics.

---

Process

1. Parse Skill

Parse into sections: Frontmatter, Headers, Code blocks, Lists, Prose.

2. Classify Sections