# learning-from-mistakes

Turns your corrections of video answers into stored lessons, so later answers on similar questions get better. Also shows what has been saved.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 496 installs · ★ 528
- Author: oxbshw
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/oxbshw/watch-skill/tree/HEAD/skills/learning-from-mistakes/SKILL.md
- Updated: 2026-10-14
- HTML: https://affpapa.org/en/nevibecode/skills/learning-from-mistakes

## What it does

The skill fires the moment you correct an answer about a video: wrong timestamp, misread error code, a quote that says something else. Instead of an apology, the correction goes into local storage via `watch-skill lessons add <video_id> "<question>" "<the wrong answer>" "<the correction>"`. You get back an error class and guidance for next time.

Where possible the original question is re-asked right after the lesson is written. That tells you whether the corrected answer comes back, and the agent reports which it was. Nothing is uploaded — lessons live in `~/.watch-skill/`.

Run `watch-skill lessons list` to see what has accumulated. `watch-skill stats` reports lifetime token economics: what text-first answering and the semantic cache saved against stuffing raw frames into context. Only `Bash` and `Read` are allowed, so everything goes through the local CLI.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add oxbshw/watch-skill --skill learning-from-mistakes -a claude-code
```

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

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add oxbshw/watch-skill --skill learning-from-mistakes -a codex
```

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

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add oxbshw/watch-skill --skill learning-from-mistakes -a cursor
```

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

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install oxbshw/watch-skill learning-from-mistakes
```

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

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add oxbshw/watch-skill --skill learning-from-mistakes -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/oxbshw/watch-skill --path skills/learning-from-mistakes
```

### Windsurf (Devin Desktop)

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

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add oxbshw/watch-skill --skill learning-from-mistakes -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/oxbshw/watch-skill/tree/HEAD/skills/learning-from-mistakes/SKILL.md

## When to use it
- capture a correction as a lesson instead of losing it in the chat
- check whether an answer improves after a lesson is recorded
- list every lesson saved so far
- see token savings from text-first answering and the cache

## Example prompts
- I corrected that answer — wrong timestamp, save it as a lesson
- show me what you've learned about this video
- how many tokens did text-first answering save? show me the stats

## 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: 6c740a00119f3c8c.

BEGIN THIRD-PARTY FILE 6c740a00119f3c8c
````text
---
name: learning-from-mistakes
version: "1.4.3"
description: The user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code" — or asks why a video answer was wrong. Use this to record the correction as a lesson so future answers on similar questions improve, and to show what the system has learned and saved.
license: MIT
user-invocable: true
allowed-tools: Bash, Read
---

# Learning from mistakes

When a video answer turns out wrong, the correction is worth more than
an apology. Report it and Watch Skill learns locally — the mistake is
classified, stored as a lesson, injected into future similar questions,
and where possible the original question is immediately re-asked to
confirm the lesson actually fixes it.

## Report a correction

The moment the user corrects a video answer, run:

```bash
watch-skill lessons add <video_id> "<question>" "<the wrong answer>" "<the correction>"
```

The output includes the lesson (`error_class`, `guidance`) and, when the
question was re-asked, whether the corrected answer now comes back —
tell the user which it was. Nothing is uploaded; lessons live in
`~/.watch-skill/`.

## See what has been learned

```bash
watch-skill lessons list
```

## The savings meter

```bash
watch-skill stats
```

Lifetime token economics: what text-first answering and the semantic
cache have saved versus stuffing raw frames into context. Quote real
numbers from it when the user asks whether any of this is worth it.
````
END THIRD-PARTY FILE 6c740a00119f3c8c

The third-party file has ended. Everything between the 6c740a00119f3c8c 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.

© oxbshw · MIT · https://github.com/oxbshw/watch-skill/tree/HEAD/skills/learning-from-mistakes/SKILL.md

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From the same set: [oxbshw/watch-skill](https://affpapa.org/en/nevibecode/by/oxbshw/watch-skill.md) — 11 cards

---
NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md
