GitHub
complextropy-analyzer
Analyzes files for optimal complexity using sophistication theory - refactors code that is too simple (low entropy) or too chaotic (high entropy, low sophistication) to achieve ideal "complextropy" where code h...
Skills IA content media code quality
Découvrez les skills content media code quality, comparez leurs dépôts et consultez leurs instructions.
Catégories: content media code quality
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Explorer
GitHub
triad-audit
Run systematic code audits using the Subtractive Triad framework (DRY → Rams → Heidegger). Use when auditing codebases for bloat, reviewing PRs for quality, finding dead code, or evaluating if code "earns its e...
GitHub
code-standards-enforcer
Ensure code quality or perform code reviews through comprehensive checklists and standards enforcement.
GitHub
code-review
Submit code review requests to multiple AI providers (GitHub Copilot, Anthropic Claude, OpenAI Codex, Google Gemini) and get patches back. Use when user says "code review", "review this code", "get a patch for"...
GitHub
coding-python
Write Python code that's tested and type-safe. Use when coding Python or implementing features.
GitHub
static-analysis
.NET static analysis and code quality tools. Use when configuring analyzers, fixing warnings, or enforcing code standards.
GitHub
validate-plan-file
Validate that orchestrator plan files conform to expected JSON schema. Use before workers read plan files or after orchestrators create them to ensure proper structure and required fields.
GitHub
rust-maintenance
Rust 代码维护与稳定性优先（正确性、回归、测试、clippy/fmt、MSRV）
GitHub
code-review
Perform thorough code reviews on pull requests, diffs, or code changes. Use when asked to review code, check a PR, or provide feedback on changes.
GitHub
upkeep-quality
Generate and improve code quality scores for JS/TS projects
GitHub
reviewing-typescript
Review TypeScript code strictly, reject mocking. Use when reviewing TypeScript code or checking if code is ready.
GitHub
upkeep-audit
Security audit with fix recommendations for JS/TS projects
GitHub
reviewing-python
Review Python code strictly, reject mocking. Use when reviewing Python code or checking if code is ready.
GitHub
checking-urls
Validates all URLs (internal relative links and external URLs) in markdown files. Use when adding new content, after making changes, or when asked to check/audit links.
GitHub
dqx-code-standards
Quick reference for DQX Python code standards
GitHub
repo-hardening
Best practices for setting up quality tooling across different language stacks.
GitHub
sun-lab-style
Apply Sun Lab Python coding conventions when writing, reviewing, or refactoring code. Covers docstrings, type annotations, naming conventions, error handling, Numba functions, and formatting standards.
GitHub
r-style-guide
Kyle's R coding style guide with tidyverse conventions and personal preferences. Use when writing or reviewing R code to ensure consistency. Covers quotes, indentation, pipes, naming, and markdown formatting.
GitHub
dqx-quality-gate
Run all DQX quality checks (tests, coverage, pre-commit hooks)
GitHub
creating-rules
Creates Claude Code rules (.claude/rules/*.md) with YAML frontmatter and path-specific scoping. Use when creating project rules, coding standards, or conditional guidelines for specific file types.
GitHub
coding-standards
Detailed code standards for the Sigil project with examples, edge cases, and review checklists. Consult when implementing features, reviewing code, refactoring, or answering questions about project conventions....
GitHub
openspec-authoring
Enforces OpenSpec authoring conventions including metadata blocks, section ordering, requirement/scenario structure, and validation steps.
GitHub
dynaconf-config
Automatically applies when adding configuration settings. Ensures proper dynaconf pattern with @env, @int, @bool type casting in settings.toml and environment-specific overrides.
GitHub
type-safety
Automatically applies when writing Python code to enforce comprehensive type hints. Ensures mypy compatibility, proper generic types, and type safety best practices.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.