據 AlphaMoat 統計,截至 2026-10,Agent Knowledge Capture 累計下載 5,589 次、獲 2 個星標,按累計下載量在本次參與排名的 5,109 個 AI 技能中排名第 2,484 位,在「知識管理」分類(433 個)中排名第 223 位。

列表預設按累計下載量排序,也可按星標排序;詳情頁排名按累計下載量計算。

累計下載

5589

星標

全站下載量排名

#2,484

全站前 49% · 「知識管理」前 52%

平台	累計下載	星標	評論
ClawHub ↗	3615	1	-
SkillHub ↗	5589	2	—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

統一的知識獲取與檢索，支援網址、影片/文章/論文摘要、社交帖子和智慧體研究輸出。適用於儲存值得重新檢索的內容。

月度資料趨勢

累計下載5589

星標2

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。該技能有同名的其他版本,調整前的資料歸屬當前下載量最大的這一個。

月份	累計下載	環比	星標
2026-10	5589	—	2
2026-09	4013	—	2
2026-08	3494	+6.9%	2
2026-07	3269	+11.4%	2
2026-06	2935	+6.9%	1
2026-05	2746	—	1
2026-03	1517	—	-

SKILL.md 原文

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。

2.6 KB · ClawHub v1.0.0

---
name: knowledge
description: Unified knowledge capture and retrieval for URLs, video/article/paper extracts, social posts, and agent research outputs. Use when saving anything worth re-finding later, summarizing external content, tracking sourced claims, or answering "where did we store that?" questions.
---

# Knowledge Skill

File-based knowledge organization. Capture fast, search later, clean up automatically.

## Installation

展開全部(共 98 行)


```bash
clawhub install knowledge
```

This installs `scripts/know` — add to PATH or use full path:
```bash
~/.openclaw/skills/knowledge/scripts/know
```

## Storage Location

Default: `~/.soulshare/agent/knowledge/`

Configurable via `~/.config/know/config` or env `KNOWLEDGE_DIR`.

```
knowledge/
├── INDEX.md      # Auto-maintained browsable index
├── urls/         # Bookmarked URLs
├── extracts/     # Video/article/paper summaries
├── posts/        # Social content (tweets, threads)
└── research/     # Agent-generated research
```

## Adding Content

```bash
know add url <url> --title "..." --tags "a,b" [--summary "..."]
know add video <url> --title "..." --tags "a,b" [--summary "..."]
know add extract --source <url> --type video|article|paper --title "..." --tags "a,b"
know add post --source <url> --title "..." --tags "a,b"
know add research --title "..." --tags "a,b" [--summary "..."]
```

Each add writes a markdown file with YAML frontmatter and updates `INDEX.md`.

## Searching

```bash
know search "query"           # Grep across all entries
know recent --limit 10        # Recent entries
know list --tags security     # Filter by tag
```

## Cleanup & Maintenance

```bash
know tidy                     # Audit: find issues
know tidy --fix               # Auto-fix: normalize tags, move misplaced files, remove empty
know validate                 # Check frontmatter schema
know reindex                  # Rebuild INDEX.md
know config                   # Show active config paths
```

**Recommended:** Run `know tidy --fix` in heartbeats or nightly cron.

## Data Model (frontmatter)

```yaml
---
type: url|extract|post|research
title: "Entry title"
source_url: "https://..."
source_kind: url|video|article|paper|post|research
tags: ["tag1", "tag2"]
added: "2026-02-26"
added_by: "agent-name"
summary: "One-line summary"
---
```

## QMD Integration

Plain markdown → QMD-indexable.

```bash
qmd collection add ~/.soulshare/agent/knowledge --name knowledge
qmd search "query" --collection knowledge
```

## Discipline

- If it's useful later → `know add` immediately
- Don't leave knowledge only in `memory/YYYY-MM-DD.md`
- Every entry needs tags + summary
- Let `know tidy --fix` handle normalization