jd-gap-analysis
jd-gap-analysis is a Lesson planning & curriculum skill for AI agents, published by starkyru in the learn-ai repository on GitHub. Skillspace rates jd-gap-analysis F (51/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze a job description (pasted text OR a URL) and find the AI/ML/GenAI topics it requires that this learn-ai course does NOT yet cover. Use when the user shares a job posting / JD / role requirements and asks what's missing, what to add, for a gap analysis, or to "align the course to this job." Extracts AI-related requirements ONLY (frameworks, RAG, agents, fine-tuning, evals, guardrails, serving, etc.), maps them to the course's actual coverage, and reports ranked gaps with concrete module suggestions.
- Grade
- F
- Quality
- 51 / 100
- Safety
- Passed
- GitHub stars
- 93
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 76 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Gap analysis against this repo's own learn-ai course content
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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