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Found 47 Skills
Use Codex CLI for sandboxed auditing, debugging, and autonomous prototyping
Interactive web apps for data science: Streamlit, Panel, and Gradio. Use for prototyping ML models, creating data exploration dashboards, and sharing insights with non-technical stakeholders.
Automatically generate complete Python project deliverables from natural language requirements through collaboration among four virtual roles: autonomous learning, PM, architect, and senior programmer. Supports feature expansion, project refactoring, and skill invocation. Also supports web search, knowledge integration, version control, Python 3.11+ features, UV package management, loguru logging, and project size adaptation (folder/single file). It provides support for database design and implementation (SQLite, PostgreSQL, MongoDB, vector databases, graph databases), data layer abstraction (Repository pattern), and database switching. Suitable for scenarios such as software requirement clarification, rapid prototyping, project initialization, feature expansion, and code refactoring.
Use the Claude Code CLI to consult Claude and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.
Use when design, prototyping or referencing Figma files. Provides capabilities for inspecting design elements, extracting assets, generating code from designs, and managing Code Connect mappings via the figma-desktop MCP server.
Help users write effective specs and design documents. Use when someone is creating technical specs, feature specs, design docs, or trying to communicate product requirements to engineering and design teams.
Create wireframes and interactive prototypes to visualize user interfaces and gather feedback early. Use tools and techniques to communicate design ideas before development.
Design Thinking methodology for human-centered innovation. Covers the 5-phase IDEO/Stanford d.school approach (Empathize, Define, Ideate, Prototype, Test) with workshop facilitation and exercise templates.
Guide human-centered design processes using empathy-driven methodologies. Use when the user says "lets run design thinking" or "I want to apply design thinking"
Safe experimentation framework for AI agents. Creates isolated sandbox environments for trying new features, testing approaches, and exploring solutions without polluting the main codebase. USE WHEN: Agent needs to try something uncertain, explore multiple approaches, test a new library, prototype a feature, or run a technical spike before committing to implementation. PRIMARY TRIGGERS: "experiment with" = Setup sandbox + run experiment "try this approach" = Quick experiment in sandbox "spike" / "POC" / "prototype" = Time-boxed technical investigation "tinker" / "tinkering mode" = Enter experimentation workflow "explore options" = Multi-approach comparison in sandbox NOT FOR: Debugging (use debugger), testing (use test runner), or committed feature work (use git branches). DIFFERENTIATOR: Unlike git branches (for committed direction), tinkering is for "I don't know if this will work" exploration. Try 5 things in sandbox before committing to a branch. Faster feedback, zero codebase pollution.
Design user interactions, flows, and interface behaviors. Use for wireframes, prototypes, micro-interactions, user flows, state machines, affordance design, and usability reviews. Covers IxD principles, Nielsen heuristics, Fitts's Law, Hick's Law, and emerging paradigms (spatial, conversational, gesture-based interfaces). Keywords: IxD, wireframe, prototype, user flow, micro-interaction, UI state diagram, screen flow, clickable prototype, interaction pattern.