genkit
genkit is an LLM app frameworks & APIs skill for AI agents, published by akillness in the jeo-skills repository on GitHub. Skillspace rates genkit D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Route server-owned AI workflow work into one Genkit implementation brief. Use when the main job is deciding whether a web/backend/fullstack feature needs reusable flows, tools, retrieval, prompt files, typed contracts, evals, observability, or deployment across Firebase / Cloud Run / another backend runtime. Choose among flow-foundation, tool-and-agent, retrieval-and-prompt, evaluation-and-observability, and deployment-runtime modes; keep direct Firebase app/client SDK integration routed to `firebase-ai-logic`, Firebase platform/operator work routed to `firebase-cli`, and framework-choice comparisons routed to `survey`.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 37
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
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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