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.
- Installs
- 515
- Last 24h
- +17
- Trending rank
- #6422
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/oxbshw/watch-skill --skill recovering-from-errors- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads recovering-from-errors automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
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.
Retry the original operation once
After doctor is green, repeat the command that failed. If it returns another structured error, report its code, message, and fix. Do not loop indefinitely, silently switch cloud providers, enable cloud STT, or reprocess an already indexed video.
Common routes:
- acquisition or extractor failure:
watch-skill doctor --json, then retry the watch; - provider authentication: verify the matching
WATCHSKILL_*_API_KEYlocally; - provider model not found: run
watch-skill setup-visionwith a valid vision model; - low memory or local server failure: reduce the local model/context or select a cloud provider the user already has;
- unknown video ID:
watch-skill list, then use the listed ID or original source.
Security and cost policy are invariants during recovery. Never upload the video file, enable a paid provider, or raise the cost ceiling merely to make an error disappear.
FAQ
What does the recovering-from-errors skill do?
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.
How do I install recovering-from-errors?
Run npx skills add https://github.com/oxbshw/watch-skill --skill recovering-from-errors in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/recovering-from-errors/ (personal) or .claude/skills/recovering-from-errors/ (project).
Which AI agents can use recovering-from-errors?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is recovering-from-errors safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains recovering-from-errors?
It is published by oxbshw in oxbshw/watch-skill. It has 515 recorded installs.
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