Browse All Agent Skills
Explore our collection of Agent Skills to enhance your AI workflow.
Command Creator
Creates reusable, agent-executable slash commands to automate repetitive developer workflows.
PHP Documentation Standards
Enforces concise, high-quality PHPDoc standards to improve code readability without redundant signature duplication.
Deep PR Reviewer
Conducts comprehensive pull request reviews using a swarm of specialized AI agents to ensure code quality, security, and architectural integrity.
Best Practices Pattern Library
Aggregates and manages a persistent library of successful development patterns and anti-patterns across all your Claude Code projects.
VCR.py HTTP Recording
Records and replays HTTP interactions for Python tests to create deterministic, network-independent, and cost-effective test environments.
Graphite Stacked PRs
Manages stacked pull requests and dependent branches using the Graphite (gt) command-line tool.
Nette Commit Message Standards
Generates standardized, Nette-compliant git commit messages using specific tense, casing, and formatting rules.
Evidence Verification
Verifies development tasks and code changes by collecting verifiable proof including test results, build outputs, and exit codes.
Condition-Based Waiting
Eliminates flaky tests and race conditions by replacing arbitrary timeouts with smart, deterministic condition polling.
SkillForge Feedback Manager
Manages the adaptive learning system and privacy settings to improve AI performance based on user interactions.
Brainstorming Extension: Design Review Gate
Automates a multi-agent design review process immediately following the creation of design documents to ensure technical and product readiness.
Query Decomposition
Decomposes complex multi-concept queries into independent searchable terms to optimize retrieval accuracy and coverage in RAG pipelines.
Handling PR Comments
Automates the systematic discovery, resolution, and response to pull request feedback from AI bots and human reviewers.
GitHub Issue Architect
Generates comprehensive GitHub issues with embedded TDD plans and autonomous agent instructions for full pull request lifecycle management.
AI Code Review Subagent
Automates the code review process by dispatching specialized subagents to verify implementations against requirements before merging.
Worktree Coordination
Manages multiple parallel Claude Code instances across Git worktrees to prevent file conflicts and synchronize architectural decisions.
LangGraph Functional API
Builds complex AI workflows using decorator-based patterns for parallel execution, persistence, and human-in-the-loop interactions.
Skill Authoring via TDD
Applies Test-Driven Development principles to create robust, verified process documentation and specialized Claude Code skills.
Code Review Reception
Standardizes a rigorous, technical-first approach to processing and implementing code review feedback without performative agreement.
Subagent Skill Testing
Validates and stress-tests AI skill documentation using a TDD-inspired Red-Green-Refactor cycle to ensure agent compliance under pressure.
Testing Anti-Patterns
Enforces high-quality testing standards by identifying and preventing common pitfalls like mock-testing and production code pollution.
Superpowers Workflow Orchestrator
Enforces mandatory protocols for skill discovery, brainstorming-first workflows, and task tracking to ensure consistent AI output quality.
Subagent-Driven Development
Automates the execution of multi-step implementation plans by dispatching fresh subagents for each task followed by iterative code reviews.
Structured Plan Execution
Executes multi-step implementation plans in controlled batches with built-in review checkpoints and mandatory verification.
Nette Forms Development
Simplifies the creation, validation, and rendering of secure, reusable web forms using the Nette Framework.
Defense-in-Depth Validation
Ensures application reliability by implementing multi-layered validation patterns that make structural bugs and data corruption impossible to reproduce.
Streaming API Patterns
Implements high-performance real-time data streaming patterns using SSE, WebSockets, and ReadableStream APIs.
Python Background Jobs & Queues
Implements robust asynchronous task processing and job queues using Celery, ARQ, and Redis for Python backends.
Nette Schema Data Validation
Validates and normalizes complex data structures, configuration files, and API inputs using the Nette Schema library.
Dignified Python 3.11 Standards
Writes, reviews, and refactors Python 3.11 code to meet high standards for clarity, robustness, and maintainability.
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