← All skills
Tencent SkillHub Β· AI

skill-condenser

Compress verbose SKILL.md files using Chain-of-Density with skill-aware formatting. Use when a skill exceeds 200 lines or needs terse refactoring.

skill openclawclawhub Free
0 Downloads
0 Stars
0 Installs
0 Score
High Signal

Compress verbose SKILL.md files using Chain-of-Density with skill-aware formatting. Use when a skill exceeds 200 lines or needs terse refactoring.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

Skill Condenser

Compress SKILL.md files using CoD with skill-format awareness. Optimized for 2-3 passes (not 5) since skills are structured, not prose.

When to Use

SKILL.md exceeds 200 lines Skill contains prose paragraphs instead of bullets Refactoring verbose documentation to terse style

Process

Read the skill to condense Run 2-3 iterations of cod-iteration with skill-format context Each iteration: extract key entities, compress to bullets/tables Output: condensed skill maintaining structure

Iteration 1: Structure Extraction

Pass to cod-iteration: iteration: 1 target_words: [current_words * 0.6] format_context: | OUTPUT FORMAT: Agent Skills SKILL.md - Use ## headers for sections - Bullet lists, not prose paragraphs - Tables for comparisons/options - Code blocks for commands - No filler phrases ("this skill helps you...") text: [FULL SKILL.MD CONTENT]

Iteration 2: Entity Densification

iteration: 2 target_words: [iteration_1_words] format_context: | SKILL.md TERSE RULES: - Each bullet = one fact - Combine related bullets with semicolons - Remove redundant examples (keep 1 best) - Tables compress better than lists for options text: [ITERATION 1 OUTPUT] source: [ORIGINAL SKILL.MD]

Iteration 3 (Optional): Final Polish

Only if still >150 lines: iteration: 3 target_words: [iteration_2_words] format_context: | FINAL PASS: - Move detailed content to references/ links - Keep only: Quick Start, Core Pattern, Troubleshooting - Each section <20 lines text: [ITERATION 2 OUTPUT] source: [ORIGINAL SKILL.MD]

Expected Output Format

Each iteration returns: Missing_Entities: "entity1"; "entity2"; "entity3" Denser_Summary: --- name: skill-name description: ... --- # Skill Name [Condensed content in proper SKILL.md format]

Skill-Specific Entities

When condensing skills, prioritize these entity types: Entity TypeKeepRemoveCommandsdeploy.py --env prodVerbose explanationsOptionsTable rowParagraph per optionErrorsError β†’ FixLong troubleshooting proseExamples1 best exampleMultiple similar examplesPrerequisitesBullet listExplanation of why needed

Target Compression

OriginalTargetIterations200-300 lines100-1502300-500 lines150-2002-3500+ lines200 + refs3 + refactor

Example: Compressing Verbose Section

Before (45 words): ## Configuration The configuration system allows you to customize various aspects of the deployment. You can set environment variables, adjust timeouts, and configure retry behavior. Each setting has sensible defaults but can be overridden as needed. After (18 words): ## Configuration | Setting | Default | Override | |---------|---------|----------| | `ENV` | prod | `--env dev` | | `TIMEOUT` | 30s | `--timeout 60` | | `RETRIES` | 3 | `--retries 5` |

Integration with Progressive Disclosure

If skill is too large after 3 iterations: Keep in SKILL.md: Overview, Quick Start, Common Errors Move to references/: API details, advanced config, examples Update SKILL.md with links: See [advanced config](references/config.md)

Constraints

Preserve frontmatter exactly (don't condense metadata) Keep all ## section headers (structure matters) Don't remove code blocks (commands are entities) Maintain one concrete example per workflow

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc