architecture-core
architecture-core is a System design & architecture decisions skill for AI agents, published by andrew0928 in the andrew-skills repository on GitHub. Skillspace rates architecture-core C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Build Andrew-style architecture foundations before domain-specific design: frame the real problem, extract stable abstractions, choose data and storage shapes from dominant constraints, validate ideas with measurable POCs, and turn architecture topics into deliberate-practice loops. Use when the task is cross-domain architecture thinking, abstraction-first modeling, storage tradeoff analysis, executable design validation, or architecture skill-building.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 34
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 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
- Category is a classifier prediction; no model has read this skill 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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