全部能力

Use this skill when translating Figma designs to code, interpreting design specs, matching visual fidelity, or bridging designer-developer handoff. Triggers on Figma implementation, design-to-code, pixel-perfect, design handoff, auto layout to flexbox, Figma tokens, component variants to props, and any task requiring faithful implementation of design mockups.

Command-line interface for Audacity - A stateful command-line interface for audio editing, following the same patterns as the GIMP and Ble...

YC Office Hours — two modes. Startup mode: six forcing questions that expose demand reality, status quo, desperate specificity, narrowest wedge, observation, and future-fit. Builder mode: design thinking brainstorming for side projects, hackathons, learning, and open source. Saves a design doc. Use when asked to "brainstorm this", "I have an idea", "help me think through this", "office hours", or "is this worth building". Proactively invoke this skill (do NOT answer directly) when the user describes a new product idea, asks whether something is worth building, wants to think through design decisions for something that doesn't exist yet, or is exploring a concept before any code is written. Use before /plan-ceo-review or /plan-eng-review. (gstack)

Turns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into detailed implementation plans with clear…

Use when animation involves depth, perspective, volume, or three-dimensional awareness—camera moves, character positioning, environmental interaction, or…

Build product marketing strategy including positioning, messaging, and go-to-market. Use when the user says "positioning", "messaging framework",…

Comprehensive verification workflow before merging changes to production.

Operational traps for Terraform provisioners, multi-environment isolation, and zero-to-deployment reliability. Covers provisioner timing races, SSH connection…

Terraform and Infrastructure as Code optimization guidelines from Terramate. This skill should be used when writing, reviewing, or refactoring…

FastAPI dev/prod runbook (Uvicorn reload, Gunicorn)

Plans and executes safe Prisma schema migrations with data backfills, rollback strategies, and SQL preview. Handles complex schema changes including data…

Build production-ready ReactFlow applications with hierarchical navigation, performance optimization, and advanced state management.

Use when creating mouse hover effects - button highlights, card lifts, link underlines, image zooms, or any pointer-triggered animation.

Create D3.js charts and interactive data visualizations. Use when building bar charts, line charts, scatter plots, pie charts, force-directed graphs,…

Diagnose and fix React codebase health issues. Use when reviewing React code, fixing performance problems, auditing security, or improving code quality.

Create email drip campaigns, nurture sequences, and automated email flows. Includes templates for welcome series, abandoned cart, re-engagement, product launch, and onboarding sequences. Trigger phrases: "email sequence", "drip campaign", "nurture sequence", "email flow", "welcome series", "abandoned cart emails", "onboarding emails", "email automation", "product launch emails", "re-engagement campaign", "send email", "send sequence".

Swift language patterns and best practices including concurrency, performance, and modern idioms. Use for Swift language-level code review or architecture…

LangGraph 1.x (LTS) workflow patterns for state management, routing, parallel execution, supervisor-worker, tool calling, checkpointing, human-in-loop,…

Expert delivery management for release planning, deployment coordination, incident response, change management, and SLA tracking across continuous delivery pipelines. Use when planning a release, coordinating a deployment, responding to a production incident, evaluating change requests, calculating SLA/error budgets, or assessing delivery maturity.

Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.