How do I install the Knowledge skill?

Run npx skillmds@latest add dvcrn/knowledge-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Knowledge safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Knowledge?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Knowledge free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Knowledge?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Knowledge by dvcrn — Agent Skill

Name: Knowledge
Rating: 4.2 (5 reviews)
Author: dvcrn

Knowledge

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.

dvcrn Updated Sep 9, 2026 32 repo stars

File contents

Knowledge Skill

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

Installation

clawhub install knowledge

This installs scripts/know — add to PATH or use full path:

~/.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

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

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

Cleanup & Maintenance

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)

---
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.

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

---name: knowledge-2description: 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 ```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

Frequently asked questions