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claude-dotfiles
claude-dotfiles enthält 69 gesammelte Skills von peopleforrester, mit Repository-Berufsabdeckung und Skill-Detailseiten auf SkillsMP.
Skills in diesem Repository
Generate changelog entries following Keep a Changelog format
Generate a well-structured pull request with summary and test plan
Cluster related instincts into skills, commands, or agents
Export instincts for sharing with teammates or backup
Import instincts from teammates or community collections
View learned instincts grouped by domain with confidence levels
Clean up project files, remove cruft, and organize codebase
Fix linting errors systematically across the codebase
Remove dead code, unused dependencies, and reduce complexity. Invokes the refactor-cleaner agent.
Safely update project dependencies with testing verification
Diagnose and fix build errors systematically. Invokes the build-resolver agent for type errors, dependency conflicts, and CI failures.
Comprehensive code review for quality, security, and maintainability. Invokes the code-reviewer agent.
Generate end-to-end tests for critical user flows
Security-focused code audit. Checks OWASP Top 10, secrets exposure, and vulnerability patterns. Invokes the security-reviewer agent.
Analyze and report test coverage with improvement suggestions
Save current verification state for resumption
Guide through a safe deployment process with verification
Evaluate code or implementation against specific criteria
Extract reusable patterns from the current session
Execute an approved multi-agent plan
Plan a complex task using multiple specialized agents
Coordinate multi-agent workflow for complex tasks
Create a detailed implementation plan before coding
Perform a thorough code review of recent changes
Manage and review session history and state
Create a new feature specification through structured interview
Show specification progress and next tasks
Update task status and add implementation notes
Start TDD workflow for a feature or bug fix. Enforces red-green-refactor cycle with the tdd-guide agent.
Run comprehensive pre-PR verification loop. Checks build, types, lint, tests, security, and coverage.
Instinct-based learning system that observes development patterns via hooks and builds a knowledge base of reusable instincts with confidence scoring. Instincts evolve from observations into skills, commands, and agents.
Interview-first specification workflow for feature development. Guides through 8 question categories to build comprehensive specs before coding. Use when starting new features, planning complex changes, or establishing clear requirements before implementation.
Reference template for creating project-specific CLAUDE.md files. Shows how to structure project guidelines with stack info, commands, directory structure, code standards, and gotchas sections for optimal Claude usage.
Django security best practices. Covers CSRF, XSS, SQL injection prevention, authentication hardening, Content Security Policy, secrets management, and Django-specific security middleware configuration.
Test-driven development patterns for Django. Covers pytest-django setup, factory_boy factories, API testing with DRF, model testing, view testing, and integration test strategies with database transactions.
Pre-deployment verification workflow for Django projects. Covers migration checks, security audit, performance profiling, dependency scanning, deployment readiness, and production configuration validation.
Spring Boot 3.x best practices. Covers layered architecture, dependency injection, JPA/Hibernate patterns, REST controllers, configuration management, and production-ready features with Spring Actuator.
Spring Security 6.x best practices. Covers SecurityFilterChain, JWT auth, OAuth2, CORS, CSRF, method-level security, password encoding, and rate limiting for Spring Boot 3.x applications.
Test-driven development patterns for Spring Boot 3.x. Covers JUnit 5, MockMvc, Testcontainers, service mocking with Mockito, slice tests, integration tests, and test configuration management.
Common backend development patterns for APIs, databases, caching, and service architecture. Language-agnostic principles with examples in Python, TypeScript, and Go.