Individual skill
recovering-from-errors
A Watch Skill command failed, video download broke, ffmpeg or yt-dlp is missing, a provider returned an error, local vision stopped, or the user asks "why can't it watch this" or "repair my setup". Use this to diagnose and apply the engine's structured fix before retrying the original operation.
skills/recovering-from-errors/SKILL.md
Source commit f1317c8fe64744a606c31867b05fbbe3144268c6
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 563
- Repository last updated
- Oct 26, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- computer-vision Repository topic
- mcp Repository topic
- multimodal Repository topic
- ocr Repository topic
- video-understanding Repository topic
- python Repository topic
- speech-to-text Repository topic
- video-analysis Repository topic
- agent-observability Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# Recovering from errors
Failures use stable error codes and include an actionable `fix`. Preserve that evidence;
do not replace it with a generic explanation.
## Diagnose first
```bash
watch-skill doctor --json
```
Read the failing checks and apply only their stated fixes. `doctor` can repair managed
ffmpeg and yt-dlp binaries, stale locks, corrupt caches, missing frame directories, and
known local-model health failures. Re-run it once after remediation.