据 AlphaMoat 统计,截至 2026-09,skill-condenser 累计下载 2,598 次、获 3 个星标,在全部 5,078 个 AI 技能中排名第 4,027 位,在「知识管理」分类(442 个)中排名第 349 位。
| 平台 | 累计安装 | 累计下载 | 星标 | 评论 |
|---|---|---|---|---|
| ClawHub ↗ | 76 | 2,278 | 3 | - |
| SkillHub ↗ | 148 | 2,598 | 3 | — |
各平台的计数口径不同,统计时间不一致。
该流程面向需要精简的技能说明,强调保留 frontmatter、标题结构、命令代码块和每个工作流的示例。生成的精简稿可能遗漏重要指导或改变原意,应用前应逐项审阅;移动到 references 的内容也应留在预期技能目录内。 文档流程通过 cod-iteration 执行迭代,需确认其可用并审阅精简结果。
资料发布于 2026-10-29
以下是根据技能文档生成的示例,不代表实际运行结果。
2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。
| 月份 | 累计下载 | 环比 | 星标 |
|---|---|---|---|
| 2026-09 | 2,598 | — | 3 |
| 2026-08 | 2,286 | +3.8% | 3 |
| 2026-07 | 2,202 | +9.9% | 3 |
| 2026-06 | 2,004 | +4.8% | 3 |
| 2026-05 | 1,913 | — | 3 |
| 2026-03 | 1,657 | — | 3 |
以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。
--- 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 Type | Keep | Remove |
|-------------|------|--------|
| Commands | `deploy.py --env prod` | Verbose explanations |
| Options | Table row | Paragraph per option |
| Errors | `Error → Fix` | Long troubleshooting prose |
| Examples | 1 best example | Multiple similar examples |
| Prerequisites | Bullet list | Explanation of why needed |
## Target Compression
| Original | Target | Iterations |
|----------|--------|------------|
| 200-300 lines | 100-150 | 2 |
| 300-500 lines | 150-200 | 2-3 |
| 500+ lines | 200 + refs | 3 + refactor |
## Example: Compressing Verbose Section
**Before** (45 words):
```markdown
## 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):
```markdown
## 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
把长文本、文档与网页内容压缩成要点和关键词的摘要工具。
通过 IMA OpenAPI 管理笔记与知识库内容。
规定如何为网页请求选择合适工具的必读指引。
调用百度 AI 搜索接口做网页检索的技能。
用 uvx 直接调用 markitdown,把各类文件转成 Markdown。
面向 OpenClaw 的默认网页搜索,实时检索多个引擎。
用 DuckDuckGo 接口做网页、新闻、图片与视频检索的技能。
检索并发现可用 OpenClaw 技能的技能。
数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。