learn-reset
Clear the knowledge base and start fresh
Best use case
learn-reset 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. Clear the knowledge base and start fresh
Clear the knowledge base and start fresh
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 "learn-reset" skill to help with this workflow task. Context: Clear the knowledge base and start fresh
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/learn-reset/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How learn-reset Compares
| Feature / Agent | learn-reset | 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?
Clear the knowledge base and start fresh
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
# Learn Reset
Clear all accumulated knowledge and reset to a fresh state.
## What This Does
- Clears all entries from `knowledge/learnings/` files (patterns, quirks, decisions)
- Resets the classification cache
- Resets learning state (extraction count, queries)
- Preserves file structure (doesn't delete files)
**Warning:** This action cannot be undone. All accumulated insights will be lost.
## Instructions
1. **Confirm with user** - This is destructive, ask for confirmation first
2. **Reset learnings files** - Clear entries from:
- `knowledge/learnings/patterns.md`
- `knowledge/learnings/quirks.md`
- `knowledge/learnings/decisions.md`
3. **Reset cache** - Clear `knowledge/cache/classifications.md`
4. **Reset session** - Clear `knowledge/context/session.md`
5. **Reset state** - Reset `knowledge/state.json` to initial values
6. **Confirm completion**
## Reset File Format
After reset, each learnings file should have:
```yaml
---
type: [type]
version: "1.0"
description: [original description]
last_updated: null
entry_count: 0
---
# [Title]
[Description]
**Purpose:** [Purpose]
---
<!-- Entries will be appended below this line -->
```
## State Reset
Reset `knowledge/state.json` to:
```json
{
"version": "1.0",
"learning_mode": false,
"learning_mode_since": null,
"last_extraction": null,
"extraction_count": 0,
"queries_since_extraction": 0,
"extraction_threshold_queries": 10,
"extraction_threshold_minutes": 30
}
```
## Output Format
```
Knowledge Base Reset
────────────────────
Are you sure you want to clear all knowledge? This cannot be undone.
[After confirmation]
Knowledge base has been reset:
- Cleared 8 patterns
- Cleared 3 quirks
- Cleared 5 decisions
- Cleared 23 cached classifications
- Reset learning state
The knowledge base is now empty. Use /learn to start fresh.
```
## Notes
- Always confirm before resetting
- This does not delete the knowledge directory structure
- Learning mode is disabled after reset
- Git history may still contain old knowledge if previously committedRelated Skills
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