code▌
169 indexed skills · max 10 per page
code-review-quality
proffesor-for-testing/agentic-qe · Productivity
Context-driven code reviews prioritizing quality, security, testability, and maintainability. \n \n Organizes feedback into four priority levels: blockers (must fix), major issues (should fix), minor improvements, and suggestions, with clear templates and rationale for each \n Covers five core review areas: logic correctness, security risks, test coverage, performance issues, and error handling; explicitly excludes style nitpicking and formatting \n Recommends reviewing code in chunks under 400
plankton-code-quality
affaan-m/everything-claude-code · Productivity
Write-time code quality enforcement with auto-formatting, linting, and Claude-powered subprocess fixes on every file edit. \n \n Three-phase architecture: silent auto-formatting, violation collection, and tiered model routing (Haiku for style, Sonnet for complexity, Opus for types) to fix unfixable issues \n Supports Python, TypeScript, Shell, YAML, JSON, TOML, Markdown, and Dockerfile with 20+ linters including ruff, biome, shellcheck, and hadolint \n Config protection via PreToolUse and Stop h
code-review
skillcreatorai/ai-agent-skills · Productivity
Automated code review across security, performance, quality, and testing dimensions. \n \n Analyzes pull requests for four distinct review categories: security vulnerabilities (SQL injection, XSS, hardcoded secrets), performance issues (N+1 queries, memory leaks, missing caches), code quality (duplication, SRP violations, poor naming), and test coverage gaps \n Flags issues at three severity levels (critical, suggestions, nits) with explanations and suggested fixes for each finding \n Includes a
code-review
xtone/ai_development_tools · Productivity
$22
screenshot-to-code
onewave-ai/claude-skills · Productivity
Convert UI screenshots into production-ready code with accurate styling and structure.
ghost-scan-code
ghostsecurity/skills · Productivity
Static analysis security scanner that identifies OWASP vulnerabilities across backend, frontend, mobile, and library code. \n \n Scans for SQL injection, XSS, BOLA, BFLA, SSRF, prototype pollution, unsafe deserialization, ReDoS, path traversal, and zip slip vulnerabilities \n Three scan depths available: quick (default), balanced, and full, with token usage warnings for comprehensive scans \n Automated workflow: plans vulnerability vectors per project type, nominates candidate files, analyzes fi
code-review
llama-farm/llamafarm · Productivity
Comprehensive code review for diffs with auto-detected domain-specific checks. \n \n Analyzes changed code for security vulnerabilities, anti-patterns, quality issues, and breaking changes across generic, frontend, and backend domains \n Auto-detects domain (frontend, backend, CLI, config) from file paths and applies relevant checklists \n Generates structured markdown reports with severity levels, file locations, code snippets, and actionable recommendations \n Performs impact analysis to ident
code-maturity-assessor
trailofbits/skills · Productivity
Systematic code maturity evaluation across 9 security and engineering categories with evidence-based ratings. \n \n Assesses arithmetic safety, auditing, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing using Trail of Bits' framework \n Produces a maturity scorecard with 0–4 ratings per category, detailed findings with file references, and a priority-ordered improvement roadmap \n Combines automated code analysis with interactive clarification
code-exemplars-blueprint-generator
github/awesome-copilot · Productivity
Technology-agnostic prompt generator for identifying and documenting high-quality code exemplars across multiple languages. \n \n Supports seven programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with auto-detection capability \n Configurable analysis depth (Basic, Standard, Comprehensive), categorization method (Pattern Type, Architecture Layer, File Type), and documentation format \n Generates exemplars.md files with real file references, descriptions, and optio
code-documenter
jeffallan/claude-skills · Documents
Generates and validates technical documentation across docstrings, API specs, and developer guides. \n \n Supports multiple docstring formats (Google, NumPy, Sphinx for Python; JSDoc for TypeScript) and API specification standards (OpenAPI, AsyncAPI, gRPC) \n Includes validation workflows for each format: doctest/pytest for Python, TypeScript compilation checks, and Redocly linting for OpenAPI specs \n Covers inline code documentation, interactive API portals, documentation site generation, and