Explore our collection of Agent Skills to enhance your AI workflow.
Conducts hypothetical post-mortems to identify hidden risks and failure points before project execution begins.
Conducts thorough, blameless incident analyses to identify root causes and document actionable lessons from outages or failures.
Audits text against Strunk & White’s 11 elementary rules of usage to ensure grammatical precision and mechanical correctness.
Facilitates structured creative brainstorming using the SCAMPER method to drive innovation in products, processes, and problem-solving.
Categorizes tasks by urgency and importance to optimize time management and focus on high-impact work.
Refines and tightens prose by applying Strunk & White's 11 classic principles of composition.
Facilitates deep critical thinking and assumption testing through a structured, multi-layered questioning methodology.
Guides users through the full Design Thinking process to solve ambiguous product problems and discover true user needs.
Enforces language-agnostic best practices for code maintainability, readability, and structural quality across all programming environments.
Automates frontend test creation and quality enforcement using Vitest, React Testing Library, and MSW.
Enforces production-grade TypeScript and React best practices for type safety, component architecture, and state management.
Standardizes technical documentation workflows by enforcing specific criteria for PRDs, ADRs, Design Docs, and Work Plans based on project complexity.
Performs metacognitive task analysis to identify task essence, scale, and optimal skill selection for development workflows.
Guides the selection of optimal development strategies through meta-cognitive analysis, risk assessment, and verification planning.
Teaches SystemVerilog through interactive coding exercises, real-time solution review, and progressive hint systems.
Visualizes SystemVerilog module hierarchies, FSM diagrams, and RTL codebase maps using interactive terminal-based ASCII art.
Analyzes SystemVerilog source code using Verilator to detect errors and warnings with structured, actionable feedback.
Generates comprehensive technical design specifications and architectural blueprints from approved requirements.
Orchestrates complex SystemVerilog RTL builds by decomposing designs and managing parallel AI agents for rapid hardware development.
Orchestrates the end-to-end design, verification, and debugging of production-grade SystemVerilog RTL using natural language.
Architects comprehensive RTL implementation plans and hardware specifications using natural language.
Performs automated, rule-based code reviews on branches and files using custom project configurations.
Reviews and optimizes prompt files against Anthropic's official engineering best practices to ensure high-quality AI outputs.
Enforces high-standard Ruby on Rails conventions and architectural best practices through automated senior-level code reviews.
Streamlines parallel development by managing isolated Git worktrees with automated environment setup and branch isolation.
Generates comprehensive technical architecture and implementation specifications for software features through automated codebase analysis.
Extends Pi coding agent workflows with specialized capabilities for compound engineering tasks.
Builds autonomous applications where features are outcomes achieved by agents operating in a continuous loop.
Generates and edits high-resolution images using the Gemini API with support for multi-turn refinement and reference-based composition.
Configures automated code review rules using YAML configuration files to streamline project quality assurance.
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