‹ The Index

AI Job Analysis And Relevancy

skill

- Use when checking whether an AI/ML selection tool is grounded in an adequate analysis of work and is demonstrably job-related — Concerns 2-3 of Tippins, Oswald & McPhail (2021). Covers whether a job analysis is necessary (even with a strong criterion-related relationship), acceptable forms and rigor, ONET and competency-model limits, collecting task importance ratings, SME-judgment agreement, and the legal meaning of job relatedness. Triggers: "does the AI tool need a job analysis", "is this algorithm job-related", "competency model vs job analysis for AI", "ONET as job analysis", "job relevancy of scraped predictors", "Guardians job analysis".

Works with: Claude Code (native)  ·  Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Category: AI & Agents — see all ranked ›

Install (Claude Code):

cp -r ai-job-analysis-and-relevancy ~/.claude/skills/

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md says when to use it, covers setup and states a limitation.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

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source ↗  ·  skill:OpenMatter-Network/ai-job-analysis-and-relevancy

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Measured 2026-08-15  ·  scorer s5  ·  how  ·  something wrong here?