problem-solving
Systematic problem-solving techniques for stuck-ness. Techniques: simplification cascade (complexity spirals), collision-zone thinking (innovation blocks), meta-pattern recognition (recurring issues), inversion exercise (assumption constraints), scale game (uncertainty). Actions: simplify, analyze, recognize patterns, invert assumptions, scale thinking. Keywords: problem solving, complexity spiral, innovation block, stuck, simplification, meta-pattern, assumption inversion, scale uncertainty, breakthrough thinking, root cause, systematic analysis, Microsoft Amplifier, debugging approach, creative solution. Use when: complexity spiraling, hitting innovation blocks, seeing recurring patterns, constrained by assumptions, uncertain about scale, generally stuck on problems.
prompt-architect
Create and enhance prompts, system instructions, SKILL.md content, and principle files. Capabilities: transform verbose prompts, add patterns/heuristics, optimize token usage, write skill body content (soul, tensions, mental models, anti-patterns), structure CLAUDE.md principles, improve agent/persona definitions, apply prompt engineering techniques (CoT, few-shot, ReAct), context engineering. Actions: create, enhance, optimize, refactor, compress prompts and skill instructions. Keywords: prompt engineering, system prompt, CLAUDE.md, SKILL.md, skill content, principle files, agent prompt, persona prompt, soul, tensions, dialectic, mental models, anti-patterns, context engineering, progressive disclosure. Use when: creating prompts, writing SKILL.md body content, enhancing principle files, defining agent behaviors, engineering context strategies.
repomix
Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party library analysis, context window, single file output. Use when: packaging codebases for AI, generating LLM context, creating codebase snapshots, analyzing third-party libraries, preparing security audits, feeding repos to Claude/ChatGPT/Gemini.
sequential-thinking
Structured reflective problem-solving methodology. Process: decompose, analyze, hypothesize, verify, revise. Capabilities: complex problem decomposition, adaptive planning, course correction, hypothesis verification, multi-step analysis. Actions: decompose, analyze, plan, revise, verify solutions step-by-step. Keywords: sequential thinking, problem decomposition, multi-step analysis, hypothesis verification, adaptive planning, course correction, reflective thinking, step-by-step, thought sequence, dynamic adjustment, unclear scope, complex problem, structured analysis. Use when: decomposing complex problems, planning with revision capability, analyzing unclear scope, verifying hypotheses, needing course correction, solving multi-step problems.
shopify
Shopify platform development. Stack: Shopify CLI, GraphQL/REST APIs, Polaris UI, Liquid templating. Capabilities: app development (OAuth), checkout UI extensions, admin UI extensions, POS extensions, theme development, webhooks, billing API, product/order/customer management. Actions: build, extend, customize, integrate Shopify apps/themes. Keywords: Shopify, Shopify CLI, GraphQL Admin API, REST API, Polaris, Liquid, checkout extension, admin extension, POS extension, theme, webhook, billing API, OAuth, app bridge, metafields, product, order, customer, storefront, hydrogen, oxygen. Use when: building Shopify apps, customizing checkout, creating admin interfaces, developing themes, integrating payments, managing store data via APIs, extending Shopify functionality.
playground
Creates interactive HTML playgrounds — self-contained single-file explorers that let users configure something visually through controls, see a live preview, and copy out a prompt. Use when the user asks to make a playground, explorer, or interactive tool for a topic.
council
Live collaborative brainstorm. Spawns named teammates (agent teams) that BUILD ON EACH OTHER'S ideas directly via SendMessage — generative cross-pollination ('yes, and…'), not one agent listing ideas alone and not an adversarial debate. Heuristic: use teammates when the agents need to talk to each other (build on ideas, hand-offs, debate); use parallel subagents when they don't (independent fan-out). Keywords: council, collaborative brainstorm, brainstorm together, ideate together, build on ideas, expand ideas, expand on this, riff together, group ideation, how might we, what could we build, team brainstorm. Use when: user types /council, says 'brainstorm together', 'expand on this idea', 'ideate as a team', or wants an open question explored by diverse perspectives that compound each other's ideas live. Requires the MAIN session (a subagent cannot spawn teammates) and CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1. Do NOT use for: a quick idea list (use solo agents), deciding between options (use /debate), mechanical tasks.
debate
Live multi-agent debate. Spawns named teammates (agent teams) that argue WITH EACH OTHER directly via SendMessage — a real, persistent debate, not one agent simulating both sides in a single reply. Heuristic: use teammates when the agents need to talk to each other (debate, collaborative brainstorm, hand-offs); use parallel subagents when they don't (independent fan-out). Keywords: debate, debate this, argue both sides, pressure-test, pressure test, steelman, devil's advocate, red team, red-team, challenge this, dialectic, adversarial review, two advocates, for and against, attack this idea. Use when: user types /debate, says 'debate this', 'argue both sides', 'pressure-test this decision', or wants a high-stakes call stress-tested by opposing positions that engage each other live. Requires the MAIN session (a subagent cannot spawn teammates) and CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1. Do NOT use for: simple questions, mechanical tasks, or when one analysis suffices.
deep-gather
Deep internet gathering — the search-fetch loop, query templates, multi-source/GitHub patterns, and retrieval tools. ONE job: collect raw sources and data from the internet on an assigned topic/language. Run standalone to deep-gather a topic, or as the GATHER-DATA step of lead-researcher's research loop. Does NOT reason, steer, or synthesize — that is lead-researcher's brain. Triggers: 'deep gather', 'gather sources/data on X', 'collect everything about Y'.
frontend-audit
Visual design verification loop for matching a goal PNG to a live render. Use when the user shares a design mock / goal image and asks to match the UI to it, asks to "iterate on this design" or "match this 1:1", or calls out visual drift in a previous UI iteration. Provides histogram color sampling, shape inspection (radius/border/shadow/bg-mode/fill-vs-context), computed-style checking on the live render, snap, and side-by-side diff. After every UI change the assistant MUST snap the live render and Read the snap with the Read tool before reporting the change done — skipping that is the #1 regression vector. Also handles regions auto-generation: the user only drops PNGs into design/, the assistant looks at each PNG and writes a sibling <name>.regions.json.
guizang-ppt-skill
Generate single-file HTML horizontal-swipe presentation decks with WebGL backgrounds and Motion entrance animations. Two styles — "Digital Magazine × E-Ink" (serif + fluid shader + warm tones) and "Swiss International Style" (sans-serif + dot grid + IKB/yellow/green/orange accent). ALWAYS invoke when the user wants a web-based presentation, slide deck, or PPT as HTML. Triggers — "make me a deck", "create slides", "presentation", "PPT", "web slides", "horizontal swipe", "magazine-style", "Swiss Style", "Helvetica deck", "single-file slides", "launch deck", "demo day slides", "keynote as HTML", or any request for browser-based slides. NOT for PowerPoint/Keynote/Google Slides editing or Slidev/Marp.
heavy-think
Unified heavy thinking orchestrator. Classifies problem type → dispatches to the right parallel thinking pattern. Modes: brainstorm (divergent ideation — solo agents or a collaborative team 'council'), solve (verifiable answers), decompose (break complex problems), unstick (reframe blockages), debate (live agent-team debate — named teammates argue with each other via SendMessage, then YOU synthesize). All modes use parallel agents/teammates with model=opus for maximum reasoning depth, then YOU synthesize. Teammates vs subagents: use agent-team teammates when the agents need to talk to each other (debate, collaborative brainstorm, hand-offs); use parallel subagents when they don't (independent fan-out). Actions: think deeply, brainstorm, council, decompose, solve, unstick, analyze, debate. Keywords: heavy think, heavy thinking, think harder, brainstorm, council, collaborative brainstorm, brainstorm together, build on ideas, expand ideas, ideate together, decompose, break down, stuck, unstick, solve, debate, debate this, pressure-test, argue both sides, steelman, devil's advocate, red team, challenge this, dialectic, parallel thinking, multi-perspective, think about this, explore deeply, reason about, analyze deeply, heavyskill, heavy-brainstorm. Use when: user says 'heavy think', 'think harder', 'brainstorm deeply', 'brainstorm together', 'council', 'expand on this', 'debate this', 'pressure-test', 'argue both sides', or any problem deserving more than shallow first-pass thinking — strategic decisions, hard technical problems, complex decomposition, creative exploration, feeling stuck, high-stakes calls needing adversarial rigor. Do NOT use for: simple lookups, mechanical tasks, clear next steps, tasks needing implementation not thinking.
lead-researcher
MANDATORY entry point for ALL research tasks. Orchestrates gatherer agents — brain decides agent count, languages, iterations, and depth at runtime based on the actual question. Default languages: EN + ZH + ZH-TW. Triggers: any research request, 'research X', 'what's the best', 'compare X vs Y', 'how should I approach', 'evaluate X', 'deep research', 'comprehensive analysis', 'team research' (live supervised agent-team venue). ALL research goes through lead-researcher first — never spawn gatherer agents directly.
pug-ui
Generate single-file HTML UIs, reports, dashboards, and landing pages using Pug syntax compiled client-side. Four CSS framework presets (Pico CSS classless default, Bulma, daisyUI, Simple.css minimal) — all pre-themed with Claude Code's warm cream + terra cotta light palette. Reduces LLM output tokens by 70-85% vs raw HTML + Tailwind. ALWAYS invoke when the user asks to create an HTML page, report, dashboard, UI mockup, or single-file web deliverable. Also invoke when user says "make a page", "create a report", "build a dashboard", "html output", "web UI", "single-file HTML", or "pug". Do NOT use for React/Vue/Svelte component development or server-rendered templates.
impeccable
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
ai-coding-agent-setup
Configures AI agents (GitHub Copilot, Claude Code, Cursor, Codex) to understand a codebase and self-improve as the project evolves. Use when setting up a new project for AI-assisted development, onboarding AI agents to an existing repo, creating AGENTS.md, configuring MCP servers for code navigation, packaging project workflows as agent skills, or establishing self-improvement feedback loops. Covers AGENTS.md authoring, skill packaging, MCP configuration, context management, and living-documentation strategies.
avalonia
Expert guidance for developing cross-platform desktop applications with Avalonia UI framework. Use when building, debugging, or optimizing Avalonia apps including MVVM architecture, XAML design, data binding, styling, theming, custom controls, and cross-platform deployment for Windows, macOS, Linux, iOS, Android, and WebAssembly.
azure-devops
Comprehensive skill for working with Azure DevOps REST API across all services including Boards (work items, queries, backlogs), Repos (Git, pull requests, commits), Pipelines (builds, releases, deployments), Test Plans, Artifacts, organizations, projects, security, extensions, and more. Use when implementing Azure DevOps integrations, automating DevOps workflows, or building applications that interact with Azure DevOps services.
azure-swa
Comprehensive expertise for Azure Static Web Apps including architecture, configuration, API integration with Azure Functions, authentication, routing, deployment, and CI/CD. Use when building, configuring, deploying, or troubleshooting Azure Static Web Apps projects with frameworks like React, Angular, Vue, Blazor, or vanilla JavaScript.
blazor-blog-feature
Adds a complete blog feature to an existing Blazor WebAssembly Static Web App with Azure Functions backend and Azure File Share for markdown storage. Use when implementing blog functionality in .NET Blazor WASM projects with Azure infrastructure. Includes post listing, detail pages, markdown rendering, Azure Storage integration.
blazor-expert
Comprehensive Blazor development expertise covering Blazor Server, WebAssembly, and Hybrid apps. Use when building Blazor components, implementing state management, handling routing, JavaScript interop, forms and validation, authentication, or optimizing Blazor applications. Includes best practices, architecture patterns, and troubleshooting guidance.
devcontainers
Provides expert guidance on Development Containers (devcontainers) — creating, configuring, and optimising containerised development environments using the Dev Container Specification. This skill should be used when users ask about devcontainer.json, .devcontainer setup, Dev Container Features or Templates, pre-building images, multi-container workflows, Docker-in-Docker, cloud development environments (Codespaces, DevPod), or troubleshooting container performance and permission issues.
dotnet-aspire
Adds .NET Aspire cloud-native orchestration to existing .NET solutions. Analyzes solution structure to identify services (APIs, web apps, workers), creates AppHost and ServiceDefaults projects, configures service discovery, adds NuGet packages, and sets up distributed application orchestration. Use when adding Aspire to .NET solutions or creating new cloud-ready distributed applications.
fine-tuning-data-generator
Generates comprehensive synthetic fine-tuning datasets in ChatML format (JSONL) for use with Unsloth, Axolotl, and similar training frameworks. Gathers requirements, creates datasets with diverse examples, validates quality, and provides framework integration guidance.
freeagent-api
Interacts with the FreeAgent accounting API to manage invoices, contacts, projects, expenses, timeslips, and other financial data. Use when the user needs to retrieve, create, update, or analyze FreeAgent accounting information via the API. All write operations (POST/PUT/DELETE) require explicit user confirmation before execution and default to sandbox unless production is explicitly requested.
gcse-art-tutor
GCSE Art and Design (Fine Art) tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas/WJEC boards. Use when a student asks for help with their art GCSE, sketchbook, portfolio, artist research, annotations, ESA preparation, understanding assessment objectives, or the 10-hour exam. Also triggers on "GCSE Art", "art sketchbook", "ESA themes", "portfolio help", "art annotations", or "Fine Art GCSE".
gcse-biology-tutor
GCSE Biology tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding biology topics, answering exam questions, revising for GCSEs, practising required practicals, or wants guidance on exam technique for GCSE Biology.
gcse-chemistry-tutor
GCSE Chemistry tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding chemistry topics, answering exam questions, revising for GCSEs, practising required practicals, or wants guidance on exam technique for GCSE Chemistry.
gcse-english-language-tutor
GCSE English Language tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, Eduqas, and WJEC boards. Use when a student asks for help understanding reading analysis, writing techniques, exam technique, revising for GCSE English Language, practising past paper questions, or improving their creative or transactional writing.
gcse-english-literature-tutor
GCSE English Literature tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas boards. Use when a student asks for help with set texts (Macbeth, An Inspector Calls, Jekyll and Hyde, poetry anthology), analysing writer's methods, writing literature essays, comparing poems, revising for GCSE English Literature, practising past paper questions, or understanding themes and characters.
gcse-history-tutor
GCSE History tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas/WJEC boards. Use when a student asks for help understanding history topics, answering exam questions, revising for GCSEs, practising source analysis, writing essays, or wants guidance on exam technique for GCSE History.
gcse-maths-tutor
GCSE Maths tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and Eduqas boards. Use when a student asks for help understanding maths topics, answering exam questions, revising for GCSEs, working through calculations, or wants guidance on exam technique for GCSE Maths.
gcse-pe-tutor
GCSE Physical Education tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding PE topics, answering exam questions, revising anatomy and physiology, practising fitness tests, applying sports psychology, or wants guidance on exam technique for GCSE Physical Education.
gcse-physics-tutor
GCSE Physics tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding physics topics, answering exam questions, revising for GCSEs, practising required practicals, solving calculation questions, or wants guidance on exam technique for GCSE Physics.
genaiscript
Comprehensive expertise for working with Microsoft's GenAIScript framework - a JavaScript/TypeScript-based system for building automatable LLM prompts and AI workflows. Use when creating, debugging, or optimizing GenAIScript scripts, implementing prompts-as-code, working with tools and agents, processing files (PDF, CSV, DOCX), defining schemas, or building AI automation workflows.
github-api
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.
gof-design-patterns
Orchestrates Gang of Four design pattern implementations across 8 languages. Analyzes user problems to select optimal pattern(s) from creational, structural, and behavioral categories. Provides concrete, production-ready implementations with explanations and trade-offs.
home-assistant-api
Orchestrates access to the Home Assistant REST API for programmatic control of smart home devices. Routes requests to specialized resource files based on task type - authentication, state management, service calls, entity types, or advanced queries. Provides intelligent decision tables for selecting appropriate endpoints and managing integrations.
kiss-principle
Apply the K.I.S.S principle (Keep It Simple, Stupid) to reduce complexity, improve maintainability, and solve problems elegantly. Use when designing systems, writing code, planning solutions, creating documentation, architecting features, or making decisions where simplicity drives quality and efficiency.
markdown-formatter
Formats markdown files according to best practices and common style guidelines. Use when cleaning up markdown documentation, ensuring consistent formatting, or standardizing README files.
microsoft-graph
Orchestration hub for Microsoft Graph API across Microsoft 365 services. Use for Graph API integrations, querying Microsoft 365 data, and building applications that interact with Azure AD.
mise
Provides expert guidance on mise (mise-en-place) — a polyglot dev tool and environment orchestrator that manages runtimes, environment variables, and project tasks. This skill should be used when users ask about mise configuration (mise.toml), installing or switching tool versions (Node, Python, Go, .NET, etc.), the mise task runner, environment variable management, secrets with SOPS/fnox, backends (ubi, cargo, npm, aqua), Lua plugins, shell hooks, migrating from asdf/nvm/direnv, or debugging with mise doctor.
root-cause-analysis
Conducts systematic root cause analysis using proven methodologies including Toyota's 5 Whys, Ishikawa fishbone diagrams, Pareto analysis, and fault tree analysis. Use when investigating bugs, debugging code, troubleshooting systems, diagnosing equipment failures, analyzing life problems, or identifying underlying causes of any issue across software engineering, hardware maintenance, process failures, or personal challenges.
thought-patterns
Orchestrates comprehensive cognitive thinking patterns for complex problem-solving. Analyzes tasks to select optimal pattern(s) from foundational, reasoning, creative, metacognitive, specialized, and neurodivergent categories. Chains multiple patterns when needed and validates outputs before responding.
twelve-factor-app
Applies the Twelve-Factor App methodology when designing, building, reviewing, or auditing cloud-native and SaaS applications. Use when asked about 12-factor compliance, app architecture for cloud platforms, environment configuration, stateless processes, deployment pipelines, service design, or scaling strategies. Covers all 12 factors: codebase, dependencies, config, backing services, build/release/run, processes, port binding, concurrency, disposability, dev/prod parity, logs, and admin processes.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
agent-patterns
Modular orchestration of agent patterns from Anthropic's engineering guide. Intelligently selects and implements prompt chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer, and autonomous agents. Includes pattern combinations and language-specific implementations.
notebooklm
Install, authenticate, troubleshoot, and operate Gemini Notebook through the notebooklm-py CLI or typed async Python API. Use for notebook and source management, grounded chat and research, and artifact generation or download when the user mentions Gemini Notebook, notebooklm-py, the notebooklm CLI, or its Python API. Do not use for the generic Gemini API or unrelated content creation.
convex-performance-patterns
Guide for Convex performance optimization including denormalization, index design, avoiding N+1 queries, OCC (Optimistic Concurrency Control), and handling hot spots. Use when optimizing query performance, designing data models, handling high-contention writes, or troubleshooting OCC errors. Activates for performance issues, index optimization, denormalization patterns, or concurrency control tasks.
convex-schema-validators
Guide for Convex schema design, validators, and TypeScript types. Use when defining database schemas, creating validators for function arguments/returns, working with document types, or ensuring type safety. Activates for schema.ts creation, validator usage, Id/Doc type handling, or TypeScript integration tasks.
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