Archivo del skill

Improve

Name: Improve
Author: j-d0g

Run the improvement loop - analyze failures and generate persistent learnings.

j-d0g0 estrellas22 ene 2026

Ocupación: Desarrolladores de software
Categorías: Machine Learning

Contenido de la habilidad

Run Improvement Loop

Analyze failed queries from an evaluation run and generate improvements.

Usage

/improve [run_id]

Process

Load Failures: Read failed evaluations from evals/results/<run_id>/
For Each Failure:
- Spawn improver agent with failure context
- Agent diagnoses root cause
- Agent generates appropriate improvement
- Agent writes to knowledge/
Verify: Check that improvements were written correctly
Report: Summarize what was learned

Workflow

Skills relacionados

Improve | Skills Pool

/improve run_001
  │
  ├─> Load failures from evals/results/run_001/
  │
  ├─> For each failure:
  │     ├─> Analyze: What went wrong?
  │     ├─> Categorize: Example? Function? Doc?
  │     └─> Write: Update knowledge/
  │
  └─> Report: "Added 3 examples, 1 function, 2 doc entries"

# Improvement Report: [run_id]

## Summary
- Failures analyzed: N
- Improvements generated: M
  - Examples: X
  - Functions: Y
  - Documentation: Z

## Changes Made

### knowledge/examples.md
- Added: [pattern name] for query [q_id]

### knowledge/functions.py
- Added: `function_name()` - [description]

### knowledge/schema.md
- Added: [data fact or edge case discovery]

## Next Steps
- Re-run evaluation to verify improvements
- Command: `/run-baseline test`

Improve

Run Improvement Loop

Usage

Process

Workflow

Improve

Run Improvement Loop

Usage

Process

Workflow

Output

Files Read

Files Written

Continuous Learning V2

Continuous Learning V2

Continuous Learning V2

Continuous Learning

Continuous Learning

Pytorch Patterns