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26355 skills
This skill helps generate or modify bash argument parsers using parseArger to define positional arguments, flags, and options efficiently.
This skill helps you enforce the Plan → Delegate → Assess → Codify loop, prioritizing planning and assessment to produce reusable knowledge artifacts.
This skill deepens an existing feature plan by critiquing gaps, verifying assumptions against code, and surfacing concrete improvements before implementation.
This skill helps you manage local files, run commands, and interact with REPLs using Desktop Commander for precise, verifiable automation.
This skill helps you manage time and tasks effectively by applying time-boxing, capture systems, and energy-aware planning.
This skill enables you to design, implement, and compare reinforcement learning algorithms across Q-learning, DQN, PPO, and multi-agent setups.
This skill validates software supply chain security by generating SBOMs, scanning dependencies, and verifying provenance to strengthen artifacts.
This skill verifies Feishu documents by using Playwright to load a doc URL, check accessibility, and save a verification result.
This skill generates and edits images using AI, enabling product placement, style transfer, and multi-image composites to boost visual storytelling.
This skill guides inline Pictura configuration when setup is required, collecting provider and API key details to retry your request.
This skill helps you plan, conduct, and analyze UX research to unveil user needs and inform product decisions.
This skill enables modular Maven builds for Spring projects by toggling components like Redis, Kafka, and RabbitMQ via profiles and properties.
Systematic debugging methodology with root cause analysis. Phases: investigate, hypothesize, validate, verify. Capabilities: backward call stack tracing, multi-layer validation, verification protocols, symptom analysis, regression prevention. Actions: debug, investigate, trace, analyze, validate, verify bugs. Keywords: debugging, root cause, bug fix, stack trace, error investigation, test failure, exception handling, breakpoint, logging, reproduce, isolate, regression, call stack, symptom vs cause, hypothesis testing, validation, verification protocol. Use when: encountering bugs, analyzing test failures, tracing unexpected behavior, investigating performance issues, preventing regressions, validating fixes before completion claims.
Skill for handling PR code reviews. Use when triggered by a PR review comment, review request, or when asked to review code changes. Provides workflow for reading review comments, understanding feedback, and iterating on changes.
Setup Sentry Tracing (Performance Monitoring) in any project. Use this when asked to add performance monitoring, enable tracing, track transactions/spans, or instrument application performance. Supports JavaScript, TypeScript, Python, Ruby, React, Next.js, and Node.js.
This skill helps you diagnose and fix Godot errors and crashes quickly by providing expert debugging guidance, error interpretation, and troubleshooting
Orchestrates comprehensive GitHub API access across all services. Intelligently routes API operations to specialized resource files covering authentication, repositories, issues/PRs, workflows, security, and more. Use when implementing GitHub integrations, automating operations, or building applications that interact with GitHub.
Perform thorough code reviews focusing on security, performance, best practices, and maintainability. Use when reviewing PRs, checking code quality, or auditing existing code.
Generates diagrams from text using PlantUML. Use when creating sequence diagrams, class diagrams, activity diagrams, C4 architecture diagrams, Gantt charts, mind maps, ER diagrams, or any visual diagram. Triggers on: diagram requests, architecture visualization, UML, flowcharts, system design, data modeling.
Modern React 18+ patterns with TypeScript, hooks, state management, and performance optimization. This skill should be used when building React components, debugging frontend issues, or reviewing React code. (user)
Evaluate proposals, technical decisions, and product directions against Robert's thinking patterns, ArcBlock's AFS/AINE architecture, and engineering philosophy. Use when reviewing proposals, evaluating technologies, or self-reviewing designs.