# fix

Diagnoses and repairs broken RAG pipelines without lectures or theory. Useful when retrieval returns garbage or the model hallucinates.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 24
- Author: TakaGoto
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/TakaGoto/rag-learning-academy/tree/HEAD/.claude/skills/fix/SKILL.md
- Updated: 2026-04-03
- HTML: https://affpapa.org/en/nevibecode/skills/takagoto-fix

## What it does

This skill focuses on repairing an existing RAG pipeline without walking through study material. It skips the curriculum and directly asks for the symptom, covering bad retrieval outputs, hallucinations, indexing misses, or query latency.

The agent inspects pipeline code files, checking chunking configuration, embedding model dimensions, vector database metric settings, retrieval top-k parameters, and prompt context injection. It then reports the root cause backed by evidence in your files and outputs a code diff.

The routine requires existing pipeline source files in your workspace; without actual implementation code, diagnosis cannot run. When `progress/debug-log.md` is present in your repository, the skill writes the resolution details there.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add TakaGoto/rag-learning-academy --skill fix -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/fix/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/fix/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add TakaGoto/rag-learning-academy --skill fix -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/fix/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add TakaGoto/rag-learning-academy --skill fix -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/fix/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install TakaGoto/rag-learning-academy fix
```

2. **Manually: put the files in place**
- File: `.github/skills/fix/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add TakaGoto/rag-learning-academy --skill fix -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/TakaGoto/rag-learning-academy --path .claude/skills/fix
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/fix/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add TakaGoto/rag-learning-academy --skill fix -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/TakaGoto/rag-learning-academy/tree/HEAD/.claude/skills/fix/SKILL.md

## When to use it
- Fix poor retrieval precision caused by bad chunk size or overlap
- Diagnose model hallucinations caused by missing context injection
- Track down vector collection issues causing empty search outputs
- Resolve throughput bottlenecks across embedding batches and database lookups

## Example prompts
- Our RAG pipeline returns irrelevant context on technical queries, diagnose it with fix
- The model hallucinates answers despite having indexed docs, run fix on src/pipeline.py
- Use fix to inspect our retrieval logic: queries only work half the time

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: a34fea9245960465.

BEGIN THIRD-PARTY FILE a34fea9245960465
````text
---
name: fix
description: "Diagnose and fix your RAG pipeline — skip the teaching, get to the answer"
---

# Fix: Fast-Track RAG Diagnosis

> **Scope:** This skill **diagnoses and fixes** an existing pipeline with no teaching. For guided debugging that explains common failure modes, use `/debug-rag`.

For learners who already have a RAG pipeline and just need help fixing it. No curriculum, no lessons — straight to diagnosis and solutions.

> **Language awareness:** See `.claude/LANGUAGE_AWARENESS.md`.

## Step 1: Get the Symptom

Ask one question: "What's going wrong?"

Common symptoms and what to probe for:

| Symptom | Follow-up |
|---------|-----------|
| "Bad retrieval results" | Ask for a sample query + what it returns vs what it should return |
| "Hallucinating" | Ask if context is being passed, and what the prompt looks like |
| "Slow" | Ask about data size, embedding model, vector DB, and whether they're batching |
| "No results" | Ask if data is indexed, and check the collection exists |
| "Works sometimes" | Ask for a working query and a failing query — compare them |

## Step 2: Read Their Code

Ask the learner to point you to their pipeline code. Read the files in `src/` or wherever they indicate. Look at:

1. **Chunking** — strategy, size, overlap
2. **Embedding** — model, dimensions, normalization
3. **Storage** — vector DB config, distance metric
4. **Retrieval** — top-k, filters, search type
5. **Generation** — prompt template, context injection, grounding instructions

## Step 3: Diagnose

Identify the likely root cause. Present it clearly:

```
Diagnosis: [one-line summary]
Root cause: [what's actually happening]
Evidence: [what in their code/output points to this]
```

If you're not certain, rank the top 2-3 most likely causes and explain how to verify each.

## Step 4: Fix It

Provide the specific code change needed. Show a before/after diff if possible. Explain *why* the fix works in 1-2 sentences — enough to understand, not a lecture.

If the fix requires multiple changes, prioritize: "Fix this first, then we'll check if the other issues resolve."

## Step 5: Verify

Help them test the fix:
1. Re-run the failing query
2. Compare the output to what they expected
3. If still broken, go back to Step 3 with the new information

## Step 6: Optional Learning

After the fix works, offer (don't push): "Want to understand why this happened? `/explain [relevant concept]` goes deeper on this."

Log the fix to `progress/debug-log.md` if the file exists.

Suggest next steps:
- `/lesson` on the concept behind the issue
- `/build` to implement the correct pattern from scratch
- `/roadmap` to see your overall progress
````
END THIRD-PARTY FILE a34fea9245960465

The third-party file has ended. Everything between the a34fea9245960465 tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

© TakaGoto · MIT · https://github.com/TakaGoto/rag-learning-academy/tree/HEAD/.claude/skills/fix/SKILL.md

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