smart-donkey-learn

分类: 数据与AI | 上传者: cloudyview | 下载: 0 | 版本: v1.0（最新）

Trigger Smart Donkey's learning phase: distill insights from the current session into smart-donkey-brain.md.

更新日志: Source: GitHub https://github.com/cloudyview/smart-donkey

目录结构

当前层级: skills/smart-donkey-learn/

📄 SKILL.md 2.3 KB

SKILL.md

---
name: smart-donkey-learn
description: "Trigger Smart Donkey's learning phase: distill insights from the current session into smart-donkey-brain.md."
user-invocable: true
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Glob
  - Grep
---

# Smart Donkey Learn

Trigger the learning/distillation phase explicitly.

## Steps

1. **Read current brain file** (if exists):
```bash
cat smart-donkey-brain.md 2>/dev/null || echo "NO_BRAIN_FILE"
```

2. **Read session context**:
   - Read `progress.md` for what happened this session
   - Read `task_plan.md` for decisions and errors
   - Read `findings.md` for technical discoveries

3. **Analyze the session** for extractable lessons:
   - What approaches worked well? (Save to "What Works Well")
   - What mistakes were made and how were they fixed? (Save to "Mistakes to Avoid")
   - Did the user express any preferences? (Save to "User Preferences")
   - Any important codebase patterns discovered? (Save to "Codebase Patterns")
   - Any debugging insights? (Save to "Debugging Playbook")
   - Any architecture decisions made? (Save to "Architecture Notes")

4. **Update `smart-donkey-brain.md`**:
   - If file doesn't exist, create it with the template
   - If file exists, merge new lessons with existing ones
   - Don't duplicate — update existing entries if refined
   - Remove anything that's no longer accurate
   - Keep total file under 200 lines

5. **Present summary** to user:
   - Show what new lessons were extracted
   - Show what existing lessons were updated
   - Show total lesson count

## Brain File Template

```markdown
# Smart Donkey Brain
> Auto-generated learning file. Updated: [date]
> Sessions learned from: [N]

## User Preferences
(How the user likes to work)

## Codebase Patterns
(Key patterns, file paths, conventions)

## What Works Well
(Approaches that save time)

## Mistakes to Avoid
(Errors and their root causes)

## Architecture Notes
(Important design decisions)

## Debugging Playbook
(Issue pattern -> Solution approach)
```

## Rules
- Be ruthlessly concise — 1-2 lines per entry
- Only save lessons that will be useful in FUTURE sessions
- Don't save task-specific details (they belong in progress.md)
- Facts > opinions. Mark uncertain items with "(uncertain)"
- If the brain file is over 200 lines, prune the least valuable entries

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smart-donkey-learn

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