ucsc-vlaa/visualclaw/semantic-precision-matching
Claude Code and agent skill by ucsc-vlaa/visualclaw
- community
Checking that the SKILL.md file is still in the repository.
When multiple options describe similar concepts, distinguish between them by comparing precise semantic details (verb choice, object specificity, frequency markers) against video evidence.
Install
npx vskill@latest install ucsc-vlaa/visualclaw/semantic-precision-matchingSKILL.md
Match Precise Semantic Details to Video Content
- Identify key semantic distinctions between similar options (e.g., "grind and polish" vs. "sharpen" vs. "cut").
- For each option, extract the core claim: What specific process or action is being described?
- Cross-reference each claim against what the video actually demonstrates—look for exact verb and object matches.
- Pay attention to frequency markers: "repeatedly," "once," "consistently" must align with observed behavior.
- Reject options where the semantic content (the actual process described) does not match the video, even if the option is well-constructed.
Example: Options describe: (A) grind and polish, (C) sharpen, (E) cut Video shows: grinding and polishing motions Correct: (A) — exact semantic match Incorrect: (C) or (E) — different processes not observed
Anti-pattern: Selecting an option because it uses similar keywords without verifying the core semantic claim (the actual process or action) is demonstrated in the video.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingvisualclaw/skills_seed/seed_universal_mc/semantic-precision-matching/SKILL.md
Popularity
- Repository stars
- 57
- Repository forks
- 4
- 7-day trend score
- 25
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/ucsc-vlaa/visualclaw/semantic-precision-matching)