knowledge
Display knowledge base status and recent learnings
Best use case
knowledge is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Display knowledge base status and recent learnings
Display knowledge base status and recent learnings
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "knowledge" skill to help with this workflow task. Context: Display knowledge base status and recent learnings
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/knowledge/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How knowledge Compares
| Feature / Agent | knowledge | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Display knowledge base status and recent learnings
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Knowledge Display the current state of the project's knowledge base and recent learnings. ## What This Does Shows: - Learning mode status (on/off) - Knowledge base statistics (entry counts per category) - Recent learnings extracted - Cache statistics ## Instructions 1. Read `knowledge/state.json` for learning mode status 2. Read each knowledge file and count entries: - `knowledge/cache/classifications.md` - `knowledge/learnings/patterns.md` - `knowledge/learnings/quirks.md` - `knowledge/learnings/decisions.md` 3. Extract recent entries (last 5) from learnings files 4. Format and display ## Output Format ``` ╔═══════════════════════════════════════════════════╗ ║ Project Knowledge Base ║ ╚═══════════════════════════════════════════════════╝ 📚 Learning Status ─────────────────────────────────────────────────── Mode: ON (since 2026-01-08 14:00) Last Extraction: 5 minutes ago Extractions This Session: 3 📊 Knowledge Statistics ─────────────────────────────────────────────────── Cache: - Classification entries: 23 Learnings: - Patterns: 8 entries - Quirks: 3 entries - Decisions: 5 entries - Total: 16 insights 📝 Recent Learnings ─────────────────────────────────────────────────── [Pattern] "Use async/await for API calls in this codebase" Discovered: 2026-01-08 | Confidence: high [Quirk] "Auth module uses non-standard token format" Discovered: 2026-01-07 | Confidence: high [Decision] "Chose Redis over in-memory cache for session storage" Made: 2026-01-06 | Confidence: high 💡 Commands ─────────────────────────────────────────────────── /learn - Extract insights now /learn-on - Enable continuous learning /learn-off - Disable continuous learning ``` ## When Knowledge Base is Empty ``` ╔═══════════════════════════════════════════════════╗ ║ Project Knowledge Base ║ ╚═══════════════════════════════════════════════════╝ 📚 Learning Status ─────────────────────────────────────────────────── Mode: OFF No extractions yet 📊 Knowledge Statistics ─────────────────────────────────────────────────── Knowledge base is empty. 💡 Get Started ─────────────────────────────────────────────────── Use /learn to extract insights from your current session. Use /learn-on to enable continuous learning. The knowledge base will grow as you work, capturing: - Patterns that work well in this project - Quirks and gotchas to remember - Decisions and their rationale ``` ## Steps 1. Read `knowledge/state.json` 2. Read frontmatter from each knowledge file to get entry counts 3. Parse recent entries from learnings files (look for `## Pattern:`, `## Quirk:`, `## Decision:` headers) 4. Format and display the summary 5. If files are missing or empty, show the "empty" state ## Notes - Entry counts come from frontmatter `entry_count` field or by counting `##` headers - Recent learnings are shown most recent first (by discovered/made date) - This is a read-only command - it doesn't modify any files
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