agent-scorer
Generate semantic + keyword match score. Compares resume content against job description to calculate a fit score and identify gaps.
npx skills add majiayu000/claude-skill-registry --skill agent-scorer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Scorer Agent ## Overview The Scorer Agent is responsible for evaluating the fit between a candidate and a job description. ## Workflow Definition 1. **Input**: Resume JSON, Job Description Text. 2. **Vectorization**: * Embed Resume Skills/Experience (`vectorize-ollama`) * Embed Job Description (`vectorize-ollama`) 3. **Semantic Match**: Calculate cosine similarity (`similarity-cosine`). 4. **Keyword Statistics**: Compare explicit keywords (`compare-keywords`). 5. **Scoring Logic**: * Combine Semantic Score (weight 0.7) + Keyword Score (weight 0.3). 6. **Output**: Score object `{ total_score: float, details: {...} }`.
- Overview
- Workflow Definition
What does the agent-scorer skill do?
Generate semantic + keyword match score. Compares resume content against job description to calculate a fit score and identify gaps.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agent-scorer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.