# Self Improve

> Transforms simple user requests into enriched descriptions with traceable findings. Use when interpreting vague user intent, preparing context for agent generation, or synthesizing actionable insights from available project context.

- Skill: `majiayu000/self-improve` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/self-improve`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/self-improve/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/self-improve

---


# Self-Improve

Transform user intent into actionable understanding.

## Core Function
```
User Intent + Available Context → Enriched Description
```

## Behavior

- **Specific intent** → focused interpretation, targeted findings
- **Vague intent** → broader scan, note what clarification needed

## Process

### 1. Interpret Intent

Extract from user request:
- **Action:** What to do
- **Subject:** What to affect  
- **Implicit:** What's assumed but not said

### 2. Synthesize Findings

Connect intent with relevant context. Each finding:
```
[Discovery] → [source]
```

Requirements: traceable, relevant, actionable.

### 3. Assess Complexity

| Factor | Question |
|--------|----------|
| Scope | How much affected? |
| Conflicts | Findings contradict? |
| Trade-offs | Significant choices? |

Any factor high → flag for deeper analysis.

## Output
```markdown
## Intent
[Interpreted user intent]

## Findings
1. [Discovery] → [source]
2. [Discovery] → [source]
3. [Discovery] → [source]

## Complexity
[Simple | Needs analysis: scope/conflicts/trade-offs]
```