system-integration-validator
Validates system integration before deployment. Use when checking ports, database connections, frontend-backend APIs, or debugging blocked/stuck workflows. Detects dead ends, bottlenecks, circular dep…
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Validates system integration before deployment. Use when checking ports, database connections, frontend-backend APIs, or debugging blocked/stuck workflows. Detects dead ends, bottlenecks, circular dep…
Clean code principles for readable, maintainable software
Neovim configuration audit knowledge base. Use when: reviewing config files for issues, checking deprecated APIs, optimizing settings, or performing health checks. Provides checklists, best practices,…
Guide for using pytest-mock plugin to write tests with mocking. Use when writing pytest tests that need mocking, patching, spying, or stubbing. Covers mocker fixture usage, patch methods, spy/stub pat…
Prepare git commit messages following conventional commits. Activates on: commit, prepare commit, commit this, commit message, ready to commit, stage and commit
Modular architecture health assessor for Logseq Template Graph. Analyzes module balance, cohesion, size distribution, and dependencies. Calculates health scores and suggests reorganization. Use when c…
Testing patterns for React Native with Jest and React Native Testing Library. Use when writing tests, mocking Expo modules, testing Zustand stores, or debugging test failures.
Load past architectural decisions. Use when making new decisions to ensure consistency.
This skill provides comprehensive patterns for using Zod validation library in TypeScript applications. It ensures input validation is done correctly, securely, and consistently across the codebase.
Common code patterns and best practices reference for quick lookup
Data validation and settings management using Python type annotations with Pydantic v2
Work with pytest-recording (VCR.py) for recording and replaying HTTP interactions in tests. Use when writing VCR tests, managing cassettes, configuring VCR options, filtering sensitive data, or debugg…
Automatically activated when user asks to "find patterns in...", "identify repeated code...", "analyze the architecture...", "what design patterns are used...", or needs to understand code organizatio…
Manage features.yml for tracking requirements and progress; use proactively ONLY when features.yml already exists, or invoke manually to create one; complements TodoWrite for persistent project state.
When given a blocker:
Analyzes and optimizes application performance across frontend, backend, and database layers. Use when diagnosing slowness, improving load times, optimizing queries, reducing bundle size, or when aske…
Add comprehensive debugging and observability tooling for backend storage layers (PostgreSQL, ChromaDB) and startup metrics. Includes storage drift detection, raw data inspection endpoints, and a Next…
GitHub PR utilities for code review workflows
Structured logging for Python applications with context support and powerful processors
Reviews and generates .NET/C# code following Microsoft conventions and modern patterns. Use when reviewing C# files, writing .NET code, refactoring, or when user mentions "C#", ".NET", "dotnet", "csha…
Expert at automatically applying improvements to Claude Code components based on quality analysis. Enhances descriptions, optimizes tool permissions, strengthens security, and improves usability. Work…
Observability patterns for Python backends. Use when adding logging, metrics, tracing, or debugging production issues.
When you discover a blocker:
Detect project stack from package manifests (package.json, pyproject.toml, go.mod, Cargo.toml, pubspec.yaml, CMakeLists.txt). Auto-identify frameworks, test tools, and build systems for onboarding.