asking-with-evidence
The user asks a question about a video that was already watched or indexed — "what did they say about X", "what error code…
The user built or changed something visual — a UI, an animation, a game, a generated video — and wants it verified, or asks "why does my UI look wrong", "check that the fix actually worked", "does the animation glitch". Use this to record the running thing, critique the
$ npx -y skills add oxbshw/watch-skill --skill the-loop --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/the-loopContext preview
The summary Claude sees to decide when to auto-load this skill.
The user built or changed something visual — a UI, an animation, a game, a generated video — and wants it verified, or asks "why does my UI look wrong", "check that the fix actually worked", "does the animation glitch". Use this to record the running thing, critique the
name: the-loop version: "1.4.3" description: The user built or changed something visual — a UI, an animation, a game, a generated video — and wants it verified, or asks "why does my UI look wrong", "check that the fix actually worked", "does the animation glitch". Use this to record the running thing, critique the recording against plain-language pass criteria, and iterate until it passes with before/after proof. license: MIT user-invocable: true allowed-tools: Bash, Read
A screenshot shows a moment; it cannot show a flow. THE LOOP records the actual running target, watches the recording, and judges it against pass criteria you state in plain language. The loop only observes — YOU apply the fixes, then iterate. On pass it renders a before/after MP4 + GIF as proof.
watch-skill loop start "<url | screen: | window:<title> | file>" "<pass criteria>" [--script '<json steps>'] # ...apply the suggested fixes to the code... watch-skill loop iterate <loop_id>
error toast ever appears, the total is never NaN". Negative claims ("never X") and exemplars ("a real price (like $29.00)") are both understood and enforced deterministically.
comparison is honest.
against the previous iteration: fixed / unchanged / new.
watch-skill loop video-gen "<what the video must show>" "<render command>" --output <file>
Re-runs the generator each iteration and judges the fresh render against the spec.
watch-skill loop game "<canvas-url | window:<title> | screen:>" "<pass criteria>" [--run "<launch cmd>"]
Catches the failures screenshots miss: a NaN score counter, black flicker frames, sprites that vanish mid-motion.
watch-skill loop monitor "<folder | url | screen: | window:<title>>" "<condition>" [--interval 10] [--max-checks 10]
Bounded — it always terminates. Events land in `events.jsonl` under the loop directory as structured records.
watch-skill capture "<target>" [--duration 10]
Capture alone never critiques; it just records, analyzes, and indexes. Use `loop start` when there are pass criteria.
Give AI agents eyes, ears, and verifiable results. Watch Skill turns video, audio and screen activity into searchable, timestamped evidence, and answers did that actually work? with a deterministic contract rather than a model's opinion.
The user asks a question about a video that was already watched or indexed — "what did they say about X", "what error code…
The user wants to connect an LLM or vision provider, already has an API key, asks "can I use OpenAI/Anthropic/Gemini/OpenRouter",…
The user wants structure pulled out of a watched video — "make chapters for this video", "where does the bug appear in this…
The user corrected an answer about a video — "no, it actually says X", "that's the wrong timestamp", "you misread the error code"…
A Watch Skill command failed, video download broke, ffmpeg or yt-dlp is missing, a provider returned an error, local vision…
The user wants to share or hand off what was found in a video — "send this analysis to my team", "make a page I can share",…