build-research

Create modern Algorand smart contracts in Algorand TypeScript or Algorand Python—statically-typed subsets compiled to TEAL bytecode by the Puya compiler.

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Use this skill when the user says:

Build a promotion case and produce a Promotion Case Pack (target role + timeline, ladder mapping, evidence log, impact narrative, manager alignment plan, sponsor/visibility map, submission-ready promo doc). Use for promotion packet, getting promoted, leveling up, career ladder, promotion committee. Category: Career.

Guide for creating effective tools for AI agents. Use when building MCP tools, agent APIs, or any tool interface that agents will consume. Focuses on token efficiency, meaningful context, and proper namespacing.

Core concepts for goal-driven agents - architecture, node types, tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals.

Build professional command-line interfaces in Python, Go, and Rust using modern frameworks like Typer, Cobra, and clap. Use when creating developer tools, automation scripts, or infrastructure management CLIs with robust argument parsing, interactive features, and multi-platform distribution.

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building-mcp-servers

Comprehensive architecture patterns for multi-agent systems where AI agents coordinate to accomplish complex tasks using tools. Language-agnostic and applicable across TypeScript, Python, Go, Rust, an

building-nextjs-apps

Build an early sales team and operating cadence (readiness gate, hiring plan, role scorecards, interview loop, onboarding/ramp). Use for first AE/SDR hires, seed→Series A sales team build, and product-led sales pilot. Category: Sales & GTM.

Build or refresh a team culture and produce a Team Culture Operating System Pack (culture snapshot, culture code, norms, rituals, rollout + measurement plan). Use for team culture, culture code, team values, team norms, psychological safety, and coaching culture. Category: Hiring & Teams.

Use when starting on a new product, joining a team, or needing a shared understanding of product, customers, and current bets.

Use when building AI agents with Anthropic's Claude Agent SDK (formerly Claude Code SDK). Triggers include creating autonomous agents, building agentic applications, SDK-based automation, implementing hooks/subagents/MCP servers, session management, or agent tool usage. NOT when using Claude API directly (use anthropic-sdk) or building MCP servers from scratch (use mcp-builder).

Use when implementing Kubernetes security patterns including RBAC, NetworkPolicies, Pod Security Standards, secrets management, image scanning with Trivy, Cosign signing, and Dapr security. Covers 4C model, compliance fundamentals.

Use when building distributed microservices with Dapr sidecar architecture. Triggers include Dapr components, service invocation, state management, pub/sub, secrets, bindings, configuration, actors, and workflows. NOT for direct infrastructure clients (use building-with-kafka-strimzi instead).

Use when building AI agents with OpenAI's Agents SDK. Triggers include creating agents, implementing tools, multi-agent handoffs, guardrails, MCP integration, tracing. Also for using LiteLLM to run agents on free/alternative models (Anthropic, Gemini). NOT for general OpenAI API usage (use openai-python SDK docs instead).

Knowledge base for generating GitLab CI/CD configurations using the To-Be-Continuous framework.

A tool for scanning and summarizing media content across YouTube, podcast RSS feeds, SoundCloud, and other sources supported by yt-dlp. Ideal for podcast research, conference talk digests, tutorial co

Bump the version of a plugin in this repository. Use to increment plugin versions and update marketplace metadata.

Initialize a new Bun project with TypeScript and optimal configuration. Use when starting a new Bun project or converting a directory to a Bun project.

Use when working with Redis in Bun (ioredis, Upstash), caching, pub/sub, session storage, or key-value operations.

Bun has built-in WebSocket support integrated with `Bun.serve()`.

Business analysis skill for requirements gathering, market research, strategic analysis, and project brief creation. Use when users need to (1) Create comprehensive project briefs, (2) Conduct market or competitive analysis, (3) Facilitate brainstorming sessions, (4) Define problems and validate assumptions, (5) Elicit requirements through structured questioning, (6) Create user personas, or (7) Analyze project feasibility and scope

Master modern business analysis with AI-powered analytics,

MBA-trained business strategist with full commercial awareness. USE WHEN user says 'business plan', 'financial analysis', 'P&L', 'cash flow', 'valuation', 'market analysis', 'competitive analysis', 'SWOT', 'business model', 'unit economics', 'fundraising', 'pitch deck', or needs strategic business guidance.

Add cinematic lerp-based smooth scrolling for all scroll inputs (mouse wheel, trackpad, touch). Creates butter-smooth momentum scrolling like premium agency websites. Works alongside existing smooth-scroll anchor links.

Align DNA short reads to reference genomes using bwa-mem2, the faster successor to BWA-MEM. Use when aligning DNA short reads to a reference genome.

Use when verifying C3 documentation quality - checks methodology compliance (layer rules, structure, diagrams) and implementation conformance (docs vs code drift)

cache-components

cache-health

caddy-https-troubleshoot

caddy

Guidance for building and training with the Caffe deep learning framework on CIFAR-10 dataset. This skill applies when tasks involve compiling Caffe from source, training convolutional neural networks on image classification datasets, or working with legacy deep learning frameworks that have compatibility issues with modern systems.

Interact with the Cal.com API v2 to manage scheduling, bookings, event types, availability, and calendars. Use this skill when building integrations that need to create or manage bookings, check availability, configure event types, or sync calendars with Cal.com's scheduling infrastructure.

Calendly scheduling automation using REST API v2 for managing event types, availability, bookings, webhooks, and scheduling workflows

Automated scheduling for meetings and appointments.

Callabo 서비스 워크스페이스를 초기화합니다. 새 워크스페이스 생성, 브랜치 생성, 서비스 컴포넌트(callabo-server, callabo-webapp, magi) 선택 및 포트 설정, 서비스 간 연동 설정을 지원합니다.

Callabo 서비스들을 tmux로 한번에 실행합니다. callabo-server, scheduler, callabo-webapp, magi를 4개의 pane으로 구성하여 개발 환경을 빠르게 시작합니다.

Practice wellness with Calm - track meditation and sleep sessions, view progress, and access content library

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Create and execute personalized multi-channel campaigns across email, LinkedIn, and phone based on intelligence gathering triggers. Use when planning outreach sequences, optimizing engagement strategies, or executing systematic follow-up campaigns.

This skill walks users through setting up the Magnet MCP server to use the canary environment (https://canary.magnet.run) with their MCP client (Claude Code, Cursor, Claude Desktop).

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Screen US stocks using William O'Neil's CANSLIM growth stock methodology. Use when user requests CANSLIM stock screening, growth stock analysis, momentum stock identification, or wants to find stocks with strong earnings and price momentum following O'Neil's investment system.

Perform a comprehensive audit of a Canvas course against the Four Learning Design Pillars, generating actionable recommendations based on evidence-based instructional design principles.

When the user needs to manage and complete multiple quizzes on Canvas LMS, this skill provides automated quiz discovery, question retrieval, answer analysis, and batch submission capabilities. It handles the complete workflow from listing enrolled courses, identifying available quizzes, starting quiz attempts, retrieving questions, analyzing correct answers based on subject matter expertise, and submitting all responses. Key triggers include 'unfinished quizzes', 'complete all quizzes', 'Canvas assignments', 'course assessments', 'submit quizzes', and 'quiz deadlines'. The skill is particularly useful when users have multiple pending quizzes across different courses and need systematic completion with accurate answers.