context-engineer
context-engineer is a Memory stores & recall skill for AI agents, published by LeeFinn2025 in the context-engineer repository on GitHub. Skillspace rates context-engineer C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Build and maintain a structured Context repository that turns fragmented business knowledge into reusable, AI-readable context. Use this skill whenever the user is trying to capture, structure, organize, route, maintain, review, or improve knowledge about their product, business, team, decisions, or ongoing work, especially when the goal is to make that knowledge persistent, navigable, and more useful to AI over time.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 27
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
- 94 / 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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