# Smart Donkey Learn

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

- **Type:** Skill
- **Install:** `agentstack add skill-cloudyview-smart-donkey-smart-donkey-learn`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [cloudyview](https://agentstack.voostack.com/s/cloudyview)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [cloudyview](https://github.com/cloudyview)
- **Source:** https://github.com/cloudyview/smart-donkey/tree/master/skills/smart-donkey-learn

## Install

```sh
agentstack add skill-cloudyview-smart-donkey-smart-donkey-learn
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# 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

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [cloudyview](https://github.com/cloudyview)
- **Source:** [cloudyview/smart-donkey](https://github.com/cloudyview/smart-donkey)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-cloudyview-smart-donkey-smart-donkey-learn
- Seller: https://agentstack.voostack.com/s/cloudyview
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.