learning-from-mistakes
When a video answer goes wrong, report the correction and Watch Skill records it as a lesson stored locally. The system classifies the mistake, injects it into similar future questions, and can re-ask the original question to verify the fix worked. Check what's been learned or review token savings anytime.
Learning from Mistakes lets you report corrections to wrong video answers so Watch Skill stores them as lessons for future improvement.
AI-generated summary based on this skill's SKILL.md
Install
oxbshw/watch-skill/learning-from-mistakes · repository language: Python
git clone https://github.com/oxbshw/watch-skill
cp -r watch-skill/adapters/claude-skill/skills/learning-from-mistakes ~/.claude/skills/learning-from-mistakesnpx skillfed install oxbshw/watch-skill/learning-from-mistakesFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I report a wrong video answer in learning-from-mistakes?
learning-from-mistakes lets you report corrections when a video answer is wrong. Simply flag the mistake, and Watch Skill records it as a lesson stored locally. The system classifies what went wrong, injects the correction into similar future questions, and can re-ask your original question to verify the fix actually worked.
Can learning-from-mistakes teach the system when it gets video timestamps wrong?
Yes. learning-from-mistakes is designed to teach the system when it gets video timestamps wrong. Report the error, and the skill stores your correction locally, classifies the mistake type, and uses it to improve responses to similar future video questions about timestamps and related content.
What lessons can I review from past video answer corrections?
learning-from-mistakes lets you review lessons learned from past video answer corrections anytime. You can view all stored corrections, see how the system classified each mistake, and track what improvements were made based on your feedback. This helps you understand patterns in what went wrong.
How does learning-from-mistakes save tokens and improve performance?
learning-from-mistakes understands token and performance savings from cached answers. When corrections are stored and reused for similar questions, the system avoids redundant processing. You can check token savings metrics anytime to see how much efficiency you've gained from your corrections.
Can I verify that a correction fixed the system's video response?
Yes. learning-from-mistakes can re-ask your original question after you've corrected a video answer, letting you verify that the fix actually worked. This confirmation step ensures the lesson was properly learned and will improve future similar questions.
How does learning-from-mistakes improve future video search results?
learning-from-mistakes improves future video search results by teaching from mistakes. When you report errors, the skill stores them locally, classifies the error type, and injects corrections into similar future questions. Over time, this builds a knowledge base that makes video search progressively more accurate.
SKILL.md
rendered from the published skill — quoted content, verbatim
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:
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
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adapters/claude-skill/skills/learning-from-mistakes/SKILL.md