multiAI Summary Pending

reflect-on-work

Pattern for producing quality reflections after completing work. Required for all agent outputs.

231 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/reflect-on-work/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/clouder0/reflect-on-work/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/reflect-on-work/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How reflect-on-work Compares

Feature / Agentreflect-on-workStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Pattern for producing quality reflections after completing work. Required for all agent outputs.

Which AI agents support this skill?

This skill is compatible with multi.

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

# Reflect on Work Skill

Pattern for producing quality reflections.

## When to Load This Skill

- You are completing any task
- You need to produce the mandatory reflection fields
- You want to contribute to system evolution

## Required Output Fields

EVERY agent output MUST include these fields in compact JSON:

```json
{"knowledge_updates":[{"category":"codebase","content":"What you learned","confidence":"certain"}],"reflection":{"what_worked":["string"],"what_failed":["string"],"patterns_noticed":["string"]}}
```

## Knowledge Updates

### Categories

- **codebase**: Discovered structure, components, data flow
- **convention**: Coding style, patterns, naming
- **decision**: Design choice and rationale
- **gotcha**: Pitfall, workaround, non-obvious behavior

### Confidence Levels

- **certain**: Verified, tested, documented
- **likely**: Strong evidence but not verified
- **uncertain**: Observed but needs confirmation

### Examples

```json
{"knowledge_updates":[{"category":"convention","content":"Project uses barrel exports in each directory","confidence":"certain"},{"category":"gotcha","content":"Must call init() before using AuthService","confidence":"certain"},{"category":"codebase","content":"API routes follow /api/v1/{resource} pattern","confidence":"likely"}]}
```

## Reflection Fields

### what_worked
- Strategies that succeeded
- Tools that helped
- Approaches worth repeating

### what_failed
- Strategies that didn't work
- Time wasted on wrong approaches
- Issues encountered

### patterns_noticed
- Repeated sequences (skill candidates)
- Common patterns in codebase
- Workflow improvements

### Example

```json
{"reflection":{"what_worked":["Parallel explorers found context quickly","Starting with types helped structure code"],"what_failed":["Initial approach missed edge case","Spent time on wrong file before exploring"],"patterns_noticed":["Error handling always uses Result type","Tests colocated with source files"]}}
```

## Complete Output Example

Minimal valid output with reflection:

```json
{"task_id":"task-001","status":"pre_complete","files_modified":[],"knowledge_updates":[],"reflection":{"what_worked":[],"what_failed":[],"patterns_noticed":[]}}
```

Full output with content:

```json
{"task_id":"task-001","status":"pre_complete","files_modified":[{"path":"src/auth.ts","change_type":"modified","summary":"Added login function"}],"knowledge_updates":[{"category":"convention","content":"Auth uses JWT tokens","confidence":"certain"}],"reflection":{"what_worked":["Found existing patterns quickly"],"what_failed":["Initial test approach was wrong"],"patterns_noticed":["All services use dependency injection"]}}
```

## Principles

- **Be honest** - Report failures, they're valuable
- **Be specific** - Actionable insights, not vague
- **Be brief** - Concise, not exhaustive
- **Use compact JSON** - Single line, no formatting