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skill-condenser技能冷凝器

Agent Skill

skill-condenser 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

52,147

周安装

2,240

GitHub Stars

3

下载量

18,278
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:skill-condenser(技能冷凝器)
来源仓库:https://github.com/killerapp/skill-condenser
安装命令:
openclaw skills install skill-condenser
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install skill-condenser

简介

使用具有技能感知格式的密度链来压缩详细的 SKILL.md 文件。当技能超过 200 行或需要简洁重构时使用。

SKILL.md

name
skill-condenser
description
Compress verbose SKILL.md files using Chain-of-Density with skill-aware formatting. Use when a skill exceeds 200 lines or needs terse refactoring.
license
Apache-2.0
metadata
author
agentic-insights
version
1.0

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

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

Orchestration

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 TypeKeepRemove
Commandsdeploy.py --env prodVerbose explanations
OptionsTable rowParagraph per option
ErrorsError → FixLong troubleshooting prose
Examples1 best exampleMultiple similar examples
PrerequisitesBullet listExplanation of why needed

Target Compression

OriginalTargetIterations
200-300 lines100-1502
300-500 lines150-2002-3
500+ 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:

  1. Keep in SKILL.md: Overview, Quick Start, Common Errors
  2. Move to references/: API details, advanced config, examples
  3. 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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.84%
按下载量换算17,883

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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