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Code quality checklist: code smells, design principles, SOLID, flat-code rules. Not directly invocable — loaded by agents via skills: [quality-criteria].
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | quality-criteria |
| description | Code quality checklist: code smells, design principles, SOLID, flat-code rules. Not directly invocable — loaded by agents via skills: [quality-criteria]. |
| user_invocable | false |
This skill provides a unified code quality checklist used by builders and reviewers.
The full checklist is in references/quality-criteria.md.
Agents that need quality criteria add skills: [quality-criteria] to their frontmatter.
The checklist is then available as preloaded context.
Builders should consult the checklist while writing code. Reviewers should check every item and report violations as findings.
Debug hypergraph visualization issues: missing edges, wrong routing when expanded/collapsed, inputs outside containers, or mismatched layout bounds.
End-to-end feature implementation with quality gates at each phase. Triggers: /feature, implement feature, build feature, new feature
Technical documentation writer for Python libraries and frameworks. Produces clear, well-structured documentation following patterns extracted from best-in-class open source projects. - MANDATORY TRIGGERS: documentation, docs, write docs, doc page, getting started page, introduction page, tutorial, how-to guide, API reference, quickstart, README, explain this library, write a guide, improve docs, rewrite documentation - Use when creating or improving documentation for any Python library, framework, tool, or API - Use when rewriting existing docs to be clearer, better structured, or more developer-friendly - Use when creating any of: landing pages, concept explanations, tutorials, how-to guides, API references, pattern cookbooks, comparison pages, "when to use" pages
Stress-test the hypergraph framework by mapping capabilities against facets, spawning agents that build real-world scenarios for each combination to find bugs, inconsistencies, and feature gaps.
Creates comprehensive N-dimensional test matrices for codebases. Use when asked to analyze test coverage, identify testing gaps, create test plans, or review what tests exist vs what's needed.
