Claude Code Skills
claudecodexQuality assurance and quality management skills for implementing testing frameworks and verification processes in Claude projects.
200 skills · 39 commands · 1 agent · 1 MCP server
Claude Code plugin designed to improve AI coding habits and best practices.
Plugin rkaushik29-claude-correct-habits from marketplace cascade-code-testing-misc in joshuarweaver/cascade-code-testing-misc. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
pattern-awareConsults learned user patterns before writing or modifying code to ensure consistency with user preferences
/rkaushik29-claude-correct-habits:add-patternManually add a coding pattern or preference for Claude to remember
/rkaushik29-claude-correct-habits:clear-patternsClear all or specific learned coding patterns from memory
/rkaushik29-claude-correct-habits:patternsView, search, and manage your learned coding patterns
${CLAUDE_PLUGIN_ROOT}/hooks/session-start.js
${CLAUDE_PLUGIN_ROOT}/hooks/analyze-corrections.js
${CLAUDE_PLUGIN_ROOT}/hooks/capture-response.js
${CLAUDE_PLUGIN_ROOT}/hooks/session-start.js
${CLAUDE_PLUGIN_ROOT}/hooks/analyze-corrections.js
Quality assurance and quality management skills for implementing testing frameworks and verification processes in Claude projects.
200 skills · 39 commands · 1 agent · 1 MCP server
Measure test effectiveness with actionable QA metrics and KPIs. For establishing quality dashboards and evaluating test success rates.
200 skills · 1 MCP server
Claude Code plugin that runs coding tasks across multiple AI models simultaneously to identify blind spots before deployment.
70 skills · 54 commands · hooks
Playful Claude skill evaluation and improvement tool that analyzes model performance and suggests enhancements. Helps identify configuration or prompt issues.
82 skills
Comprehensive guide to code quality metrics and thresholds. Routes to specialized tools for Deptrac, PHPInsights, and testing workflows.
70 skills
Harness for deriving, verifying, and executing requirements-first workflows, enabling AI-driven development from specifications.
37 skills · 30 agents · hooks
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
2 skills · 2 commands · 2 agents · 1 MCP server
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
3 skills
Database query optimization, cloud cost optimization, and scalability improvements
1 command · 4 agents
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security, incident-response, red-team, threat-detection. v2.8.1 audits senior-fullstack / senior-frontend / senior-backend against karpathy-coder + Matt Pocock — each ships a 7-question forcing-question library, 4 customization profiles (JSON), deterministic decision engine, composition map into POWERFUL specialists, plus cs-fullstack-engineer / cs-frontend-engineer / cs-backend-engineer orchestrator agents (context: fork) + /cs-fullstack-review, /cs-frontend-review, /cs-backend-review, /cs-engineer-grill slash commands.
35 skills · hooks
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
3 skills
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
19 skills
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