據 AlphaMoat 統計,截至 2026-09,skill-condenser 累計下載 2,598 次、獲 3 個星標,在全部 5,078 個 AI 技能中排名第 4,027 位,在「知識管理」分類(442 個)中排名第 349 位。
| 平台 | 累計安裝 | 累計下載 | 星標 | 評論 |
|---|---|---|---|---|
| ClawHub ↗ | 76 | 2278 | 3 | - |
| SkillHub ↗ | 148 | 2598 | 3 | — |
各平台的計數口徑不同,統計時間不一致。
該流程面向需要精簡的技能說明,強調保留 frontmatter、標題結構、命令程式碼塊和每個工作流的示例。生成的精簡稿可能遺漏重要指導或改變原意,應用前應逐項審閱;移動到 references 的內容也應留在預期技能目錄內。 文件流程透過 cod-iteration 執行迭代,需確認其可用並審閱精簡結果。
資料釋出於 2026-10-29
以下是根據技能文件生成的示例,不代表實際執行結果。
2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。
| 月份 | 累計下載 | 環比 | 星標 |
|---|---|---|---|
| 2026-09 | 2598 | — | 3 |
| 2026-08 | 2286 | +3.8% | 3 |
| 2026-07 | 2202 | +9.9% | 3 |
| 2026-06 | 2004 | +4.8% | 3 |
| 2026-05 | 1913 | — | 3 |
| 2026-03 | 1657 | — | 3 |
以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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
把長文字、文件與網頁內容壓縮成要點和關鍵詞的摘要工具。
透過 IMA OpenAPI 管理筆記與知識庫內容。
規定如何為網頁請求選擇合適工具的必讀指引。
呼叫百度 AI 搜尋介面做網頁檢索的技能。
用 uvx 直接呼叫 markitdown,把各類檔案轉成 Markdown。
面向 OpenClaw 的預設網頁搜尋,即時檢索多個引擎。
用 DuckDuckGo 介面做網頁、新聞、圖片與影片檢索的技能。
檢索並發現可用 OpenClaw 技能的技能。
資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。