slack-realtime-events
Real-time event handling with Socket Mode and Events API. Use when building interactive Slack bots, handling message events, app mentions, reactions, button clicks, modal submissions, slash commands, or any event-driven Slack application functionality.
slack-client-fundamentals
Foundation skill for Slack Go SDK. Use when setting up a new Slack bot, initializing the API client, choosing between Web API vs Socket Mode vs Events API, implementing error handling patterns, or establishing testing strategies for Slack applications.
slack-auth-security
OAuth flows, token management, and security best practices for Slack apps. Use when implementing app distribution, multi-workspace installations, token storage and rotation, managing scopes and permissions, or securing production Slack applications.
slack-block-kit
Build Slack Block Kit UIs for messages, modals, and Home tabs. Use when creating Slack notifications, interactive forms, bot responses, app dashboards, or any Slack UI. Covers blocks (Section, Actions, Input, Header), elements (Buttons, Selects, Date pickers), composition objects, and the slack-block-builder library.
quickbooks-online-api
Expert guide for QuickBooks Online API integration covering authentication, CRUD operations, batch processing, and best practices for invoicing, payments, and customer management.
mycarrierpackets-webhooks
This skill should be used when the user asks about MyCarrierPackets (MCP) webhooks — setting up webhook subscriptions, handling webhook events (carrier.packet.completed, carrier.incident_report.created/updated/retracted, carrier.vin_verification.completed, carrier.user_verification.completed), verifying MCP-Signature headers, or dealing with webhook delivery retries.
mycarrierpackets-api
This skill should be used when the user asks to 'integrate with MyCarrierPackets', 'set up MCP API', 'onboard carriers', 'Intellivite invitation', 'monitor carriers', 'Assure Advantage', 'get carrier data', 'retrieve COI', 'get W9', 'carrier risk assessment', 'check completed packets', 'block carrier', 'find associated carriers', 'fraud check', 'VIN verification', or when implementing TMS carrier management features. Provides comprehensive guidance for MyCarrierPackets API authentication, carrier invitations, data retrieval, monitoring, blocking, fraud detection, and document management.
goth-providers
This skill should be used when the user asks to "add a provider", "configure google oauth", "set up microsoft login", "azure ad authentication", "oauth provider setup", "add social login", or needs help with specific OAuth provider configuration in Goth.
goth-fundamentals
This skill should be used when the user asks to "set up goth", "install goth", "oauth in go", "authentication in golang", "goth package", "goth basics", or mentions "github.com/markbates/goth". Provides foundational guidance for the Goth multi-provider authentication library.
goth-echo-security
This skill should be used when the user asks to "integrate goth with echo", "oauth echo framework", "echo authentication", "goth session management", "oauth security", "secure oauth", "gorilla sessions", or needs help with session storage, security patterns, or Echo framework integration for Goth.
effective-go
Apply Go best practices, idioms, and conventions from golang.org/doc/effective_go. Use when writing, reviewing, or refactoring Go code to ensure idiomatic, clean, and efficient implementations.
echo
Comprehensive guide for the Echo web framework. Use when building scalable, high-performance web applications and REST APIs in Go with features like flexible routing, middleware support, request/response binding, static file serving, and template rendering. Applies to installing Echo, defining routes, implementing middleware, handling requests/responses, and building web services.
testify-tdd
Use this skill when writing Go tests with stretchr/testify, implementing TDD workflows, creating mocks, or organizing test suites. Covers assert vs require patterns, interface mocking, table-driven tests, and the red-green-refactor cycle.
gh-issue
Create structured GitHub issues with sub-tasks and proper formatting. Use when organizing development work into trackable issues, breaking down features into parent/child issues, converting discussions into tracked work, or creating issues from conversation context.
wiki-vitepress
Packages generated wiki Markdown into a VitePress static site with dark theme, dark-mode Mermaid diagrams with click-to-zoom, and production build output. Use when the user wants to create a browsable website from generated wiki pages.
wiki-architect
Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or understand a project's architecture at a high level.
wiki-agents-md
Generates AGENTS.md files for repository folders — coding agent context files with build commands, testing instructions, code style, project structure, and boundaries. Only generates where AGENTS.md is missing.
wiki-ado-convert
Converts VitePress/GFM wiki markdown to Azure DevOps Wiki-compatible format. Generates a Node.js build script that transforms Mermaid syntax, strips front matter, fixes links, and outputs ADO-compatible copies to dist/ado-wiki/.
wiki-researcher
Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. Use when the user wants an in-depth investigation, needs to understand how something works across multiple files, or asks for comprehensive analysis of a specific system or pattern.
wiki-page-writer
Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth. Use when writing documentation, generating wiki pages, creating technical deep-dives, or documenting specific components or systems.
wiki-onboarding
Generates four audience-tailored onboarding guides in an onboarding/ folder — Contributor, Staff Engineer, Executive, and Product Manager. Use when the user wants onboarding documentation for a codebase.
wiki-llms-txt
Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models.
wiki-changelog
Analyzes git commit history and generates structured changelogs categorized by change type. Use when the user asks about recent changes, wants a changelog, or needs to understand what changed in the repository.
svelte-flow
Build node-based editors, interactive diagrams, and flow visualizations using Svelte Flow. Use when creating workflow editors, data flow diagrams, organizational charts, mindmaps, process visualizations, DAG editors, or any interactive node-graph UI. Supports custom nodes/edges, layouts (dagre, hierarchical), animations, and advanced features like proximity connect, floating edges, and contextual zoom.
slack-web-api
Comprehensive guidance for Slack Web API operations with the Go SDK. Use when sending messages, posting to channels, creating or managing channels, retrieving user information, uploading files, composing Block Kit messages, or performing any synchronous Slack API operations.
mantine-custom-components
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mantine-react-component-dev
Development guidelines and patterns for building React component libraries with Mantine UI, TypeScript, and modern tooling. Use this skill when creating, editing, or maintaining Mantine-based React components, implementing Styles API patterns, managing component composition, or working with TypeScript-safe component factories.
npm-library-setup
Comprehensive guidance on setting up npm libraries with package.json, with a preference for ES Modules (ESM). Use when setting up npm packages, configuring ESM, TypeScript packages, or React component libraries.
reddit-sentiment-analysis
Conduct comprehensive sentiment analysis of Reddit discussions for any product, brand, company, or topic. Analyzes what people like, dislike, and wish were different with structured output summaries.
ReasoningBank Intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.
flow-nexus-neural
Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
AgentDB Performance Optimization
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
AgentDB Memory Patterns
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
AgentDB Advanced Features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
AgentDB Learning Plugins
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
flow-nexus-platform
Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
github-project-management
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
github-code-review
Comprehensive GitHub code review with AI-powered swarm coordination
flow-nexus-swarm
Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
hive-mind-advanced
Advanced Hive Mind collective intelligence system for queen-led multi-agent coordination with consensus mechanisms and persistent memory
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
demo-builder
Automatically generate playable game demos from concept documents. Parses game designs, creates Three.js prototypes with scoring, characters, textures, and music. Transforms ideas into interactive experiences.
AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Pair Programming
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
monetization-analyzer
Analyze game concepts for monetization potential, willingness-to-pay, viral mechanics, and revenue generation. Ranks concepts by total monetization score and identifies top revenue opportunities.
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