v1.4.0rc1 to v1.4.0

---

name: learning-from-mistakes

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.