rag-implementation
wshobsonBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
rag-implementation
sickn33Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
mcp-developer
JeffallanUse when building MCP servers or clients that connect AI systems with external tools and data sources. Invoke for MCP protocol compliance, TypeScript/Python SDKs, resource providers, tool functions.
skillzmarket
openclawSearch and call monetized AI skills from Skillz Market with automatic USDC payments on Base. Use when the user wants to find paid AI services, call external skills with cryptocurrency payments, or integrate with the Skillz Market ecosystem.
clawdefender
openclawSecurity scanner and input sanitizer for AI agents. Detects prompt injection, command injection, SSRF, credential exfiltration, and path traversal attacks. Use when (1) installing new skills from ClawHub, (2) processing external input like emails, calendar events, Trello cards, or API responses, (3) validating URLs before fetching, (4) running security audits on your workspace. Protects agents from malicious content in untrusted data sources.
api-gateway
openclawAPI gateway for calling third-party APIs with managed OAuth connections, provided by Maton (https://maton.ai). Use this skill when users want to interact with external services like Slack, HubSpot, Salesforce, Google Workspace, Stripe, and more. Access is scoped to connections you explicitly authorize via OAuth - the API key alone does not grant access to any third-party service. Requires network access and valid Maton API key.
acquiring-skills
letta-aiGuide for safely discovering and installing skills from external repositories. Use when a user asks for something where a specialized skill likely exists (browser testing, PDF processing, document generation, etc.) and you want to bootstrap your understanding rather than starting from scratch.
external-model-selection
MadAppGangChoose optimal external AI models for code analysis, bug investigation, and architectural decisions. Use when consulting multiple LLMs via Claude, comparing model perspectives, or investigating complex Go/LSP/transpiler issues. Provides empirically validated model rankings (91/100 for MiniMax M2, 83/100 for Grok Code Fast) and proven consultation strategies based on real-world testing.
mcp-builder
skillcreatoraiGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
smart-docs
sopacoAI-powered comprehensive codebase documentation generator. Analyzes project structure, identifies architecture patterns, creates C4 model diagrams, and generates professional technical documentation. Use when users need to document codebases, understand software architecture, create technical specs, or generate developer guides. Supports all programming languages. Alternative to Litho/deepwiki-rs that uses Claude Code subscription without external API costs.
ai-generation-client
dadbodgeoffExternal AI API integration with retry logic, rate limiting, content safety detection, and multi-turn conversation support for image generation.
claudish-usage
MadAppGangCRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with any AI model (OpenRouter, Gemini, OpenAI, local models). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, Gemini, OpenAI, Ollama, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
d3js-visualization
benchflow-aiBuild deterministic, verifiable data visualizations with D3.js (v6). Generate standalone HTML/SVG (and optional PNG) from local data files without external network dependencies. Use when tasks require charts, plots, axes/scales, legends, tooltips, or data-driven SVG output.
smithery-ai-cli
smithery-aiFind, connect, and use MCP tools and skills via the Smithery CLI. Use when the user searches for new tools or skills, wants to discover integrations, connect to an MCP, install a skill, or wants to interact with an external service (email, Slack, Discord, GitHub, Jira, Notion, databases, cloud APIs, monitoring, etc.).
link-validator
a5c-aiComprehensive link checking and validation for documentation. Validate internal links, external URLs, anchors, detect redirects, monitor link rot, and generate sitemap validation reports.
memory-interfaces
a5c-aiExpert skill for on-chip and external memory interface design in FPGAs
demand-sensing-integrator
a5c-aiReal-time demand signal integration from POS, channel data, and external signals for short-term forecast enhancement
argparse-scaffolder
a5c-aiGenerate argparse-based Python CLI applications with subparsers, type converters, and standard library patterns. Creates lightweight Python CLIs without external dependencies.
cfd-fluids
a5c-aiDeep integration with computational fluid dynamics tools for internal and external flow analysis
demand-forecasting-engine
a5c-aiAI-powered demand prediction capability that uses historical data, market signals, and external factors to improve forecast accuracy
cost-of-quality-analyzer
a5c-aiCost of Quality analysis skill with prevention, appraisal, internal failure, and external failure cost tracking
managing-dns
ancolemanManage DNS records, TTL strategies, and DNS-as-code automation for infrastructure. Use when configuring domain resolution, automating DNS from Kubernetes with external-dns, setting up DNS-based load balancing, or troubleshooting propagation issues across cloud providers (Route53, Cloud DNS, Azure DNS, Cloudflare).
task-external-models
MadAppGangQuick-reference for using external AI models in orchestration workflows. External models are invoked via Bash+claudish CLI (deterministic, 100% reliable). Use when confused about how to run external models, "claudish with Bash", "external model in /team", or "how to specify external model". Trigger keywords - "external model", "claudish", "Bash claudish", "external LLM", "model parameter".
proxy-mode-reference
MadAppGangReference guide for using external AI models via claudish CLI. Use when running multi-model reviews, understanding how /team invokes external models, or debugging external model integration issues. Includes routing prefixes for MiniMax, Kimi, GLM direct APIs.
multi-model-validation
MadAppGangRun multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, MiniMax, Kimi, GLM, or Claudish proxy for code review, consensus analysis, or multi-expert validation. NEW in v3.2.0 - Direct API prefixes (mmax/, kimi/, glm/) for cost savings. Includes dynamic model discovery via `claudish --top-models` and `claudish --free`, session-based workspaces, and Pattern 7-8 for tracking model performance. Trigger keywords - "grok", "gemini", "gpt-5", "deepseek", "minimax", "kimi", "glm", "claudish", "multiple models", "parallel review", "external AI", "consensus", "multi-model", "model performance", "statistics", "free models".
model-tracking-protocol
MadAppGangMANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, tracks progress during execution, and ensures complete results presentation. Use when running 2+ external AI models in parallel. Trigger keywords - "multi-model", "parallel review", "external models", "consensus", "model tracking".
fiftyone-develop-plugin
aiskillstoreDevelop custom FiftyOne plugins (operators and panels) from scratch. Use when user wants to create a new plugin, extend FiftyOne with custom operators, build interactive panels, or integrate external APIs into FiftyOne. Guides through requirements, design, coding, testing, and iteration.
global-validation
aiskillstoreImplement comprehensive server-side validation with allowlists, type checking, input sanitization, and consistent error messages, while using client-side validation for user experience. Use this skill when validating user input, form data, API requests, implementing security checks, preventing injection attacks, checking data types/formats/ranges, or providing validation feedback. Apply when working with form validation, API endpoint validation, input sanitization, business rule enforcement, or any code that accepts and validates external data to ensure security, data integrity, and proper user feedback across all entry points.
testing-test-writing
aiskillstoreWrite minimal, focused tests for core user flows and critical paths during development, testing behavior rather than implementation with clear test names and mocked dependencies. Use this skill when writing unit tests, integration tests, test files, test cases for critical workflows, or mocking external dependencies. Apply when working with test files (.test.js, .spec.ts, _test.py), test frameworks (Jest, RSpec, pytest), testing user journeys, or implementing fast-executing tests that validate business-critical functionality without over-testing implementation details or edge cases during feature development.
orchestration-native-invoke
aiskillstoreInvoke external AI CLIs via native Task agents (Claude, Codex, Gemini, Cursor). Primary mode for multi-provider orchestration with fork-terminal fallback for auth.
api-integration-specialist
aiskillstoreExpert in integrating third-party APIs with proper authentication, error handling, rate limiting, and retry logic. Use when integrating REST APIs, GraphQL endpoints, webhooks, or external services. Specializes in OAuth flows, API key management, request/response transformation, and building robust API clients.
rag-implementation
MicrockBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
langchain4j-rag-implementation-patterns
giuseppe-trisciuoglioProvides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j. Handles document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
rag
giuseppe-trisciuoglioProvides patterns to build Retrieval-Augmented Generation (RAG) systems for AI applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
resource-scout
nicepkgSearch and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries. Use when (1) user asks to find skills for a specific task, (2) looking for MCP servers to connect external tools, (3) user mentions "find skill", "search MCP", "discover tools", or "what skills exist for X", (4) before creating a custom skill to check if one already exists.
remove-model-cliche
cafe3310This skill guides the agent in identifying and replacing AI model-specific cliches and formulaic expressions with more natural, human-like language, grounded in external search for better alternatives.
mcp-builder
partme-aiGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
webhook-development
aj-geddesImplement webhook systems for event-driven integration with retry logic, signature verification, and delivery guarantees. Use when creating event notification systems, integrating with external services, or building event-driven architectures.
third-party-integration
aj-geddesIntegrate external APIs and services with error handling, retry logic, and data transformation. Use when connecting to payment processors, messaging services, analytics platforms, or other third-party providers.
mocking-stubbing
aj-geddesCreate and manage mocks, stubs, spies, and test doubles for isolating unit tests from external dependencies. Use for mock, stub, spy, test double, Mockito, Jest mocks, and dependency isolation.
integration-testing
aj-geddesDesign and implement integration tests that verify component interactions, API endpoints, database operations, and external service communication. Use for integration test, API test, end-to-end component testing, and service layer validation.
circuit-breaker-pattern
aj-geddesImplement circuit breaker patterns for fault tolerance, automatic failure detection, and fallback mechanisms. Use when calling external services, handling cascading failures, or implementing resilience patterns.
external-tools
dsifryDelegate implementation and review tasks to external AI CLI tools (Codex, Gemini) with cross-model adversarial review
erf-init
Arman-KudaibergenovCreate an empty external 1C report (scaffold of XML sources)
epf-validate
Arman-KudaibergenovValidation of 1C external processing (EPF). Use after creating or modifying a processing to check correctness.
epf-build
Arman-KudaibergenovBuild a 1C external processing (EPF/ERF) from XML sources
erf-build
Arman-KudaibergenovBuild a 1C external report (ERF) from XML sources
epf-add-form
Arman-KudaibergenovAdd a managed form to a 1C external processing