mcp-builder
anthropicsGuide 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).
mcp-builder
ComposioHQGuide 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).
embedding-strategies
wshobsonSelect and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
evaluating-llms-harness
davila7Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
senior-data-engineer
davila7World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
evaluating-code-models
davila7Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
embedding-strategies
sickn33Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
advanced-evaluation
muratcankoylanThis skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
mcp-builder
davepoonGuide 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).
senior-data-engineer
alirezarezvaniData engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
local-whisper
openclawLocal speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
lmstudio-subagents
openclawReduces token usage from paid providers by offloading work to local LM Studio models. Use when: (1) Cutting costs—use local models for summarization, extraction, classification, rewriting, first-pass review, brainstorming when quality suffices, (2) Avoiding paid API calls for high-volume or repetitive tasks, (3) No extra model configuration—JIT loading and REST API work with existing LM Studio setup, (4) Local-only or privacy-sensitive work. Requires LM Studio 0.4+ with server (default :1234). No CLI required.
model-router
openclawA comprehensive AI model routing system that automatically selects the optimal model for any task. Set up multiple AI providers (Anthropic, OpenAI, Gemini, Moonshot, Z.ai, GLM) with secure API key storage, then route tasks to the best model based on task type, complexity, and cost optimization. Includes interactive setup wizard, task classification, and cost-effective delegation patterns. Use when you need "use X model for this", "switch model", "optimal model", "which model should I use", or to balance quality vs cost across multiple AI providers.
mcp-builder
snykGuide 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).
coupling-analysis
tech-leads-clubAnalyzes coupling in a codebase following the three-dimensional model from "Balancing Coupling in Software Design" (Vlad Khononov). Use when evaluating architectural quality, identifying problematic dependencies, understanding integration strength between modules, or getting recommendations to improve modularity.
mcp-builder
microsoftGuide 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), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).
mcp-builder
Guide 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), Node/TypeScript (MCP SDK), or C#/.NET (Microsoft MCP SDK).
openrouter-routing-rules
Implement intelligent model routing based on request characteristics. Use when optimizing for cost, speed, or quality per request. Trigger with phrases like 'openrouter routing', 'model selection', 'smart routing', 'dynamic model'.
twinmind-performance-tuning
jeremylongshoreOptimize TwinMind transcription accuracy and processing speed. Use when improving transcription quality, reducing latency, or tuning model parameters for specific use cases. Trigger with phrases like "twinmind performance", "improve transcription accuracy", "faster twinmind", "optimize twinmind", "transcription quality".
mcp-builder
MooseGoose0701Guide 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).
Gemini ImageGen
DP-SkillsGenerate and edit images using Google Gemini's native image generation models (Nano Banana / Nano Banana Pro). Supports text-to-image, image editing with reference images, multi-image composition, and character consistency. Use when the user asks to generate images via Gemini, create AI illustrations, edit photos with Gemini, or needs high-quality image generation with the Google API. Requires GEMINI_API_KEY. Triggers: "generate image with gemini", "nano banana", "gemini image", "create illustration", "AI generate picture", "text to image".
gemini-imagegen
MooseGoose0701Generate and edit images using Google Gemini's native image generation models (Nano Banana / Nano Banana Pro). Supports text-to-image, image editing with reference images, multi-image composition, and character consistency. Use when the user asks to generate images via Gemini, create AI illustrations, edit photos with Gemini, or needs high-quality image generation with the Google API. Requires GEMINI_API_KEY. Triggers: "generate image with gemini", "nano banana", "gemini image", "create illustration", "AI generate picture", "text to image".
mcp-builder
DP-SkillsGuide 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).
mcp-builder
openakitaGuide 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).
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).
sadd:do-in-parallel
NeoLabHQLaunch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection and quality-focused prompting
mcp:build-mcp
NeoLabHQGuide 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).
advanced-evaluation
guanyangThis skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
mcp-builder
guanyangGuide 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).
evaluating-code-models
sangrokjungEvaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
evaluating-llms-harness
sangrokjungEvaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
ai-evals
RefoundAIHelp users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying to systematically measure AI output quality.
mcp-builder
khanelimanGuide 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).
evaluating-llms
ancolemanEvaluate LLM systems using automated metrics, LLM-as-judge, and benchmarks. Use when testing prompt quality, validating RAG pipelines, measuring safety (hallucinations, bias), or comparing models for production deployment.
transforming-data
ancolemanTransform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.
embedding-optimization
ancolemanOptimizing vector embeddings for RAG systems through model selection, chunking strategies, caching, and performance tuning. Use when building semantic search, RAG pipelines, or document retrieval systems that require cost-effective, high-quality embeddings.
prompt-engineering
ancolemanEngineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).
bio-phylo-modern-tree-inference
GPTomicsBuild maximum likelihood phylogenetic trees using IQ-TREE2 and RAxML-ng. Use when inferring publication-quality trees with model selection, ultrafast bootstrap, or partitioned analyses from sequence alignments.
patterns
MadAppGangCommon agent patterns and templates for Claude Code. Use when implementing agents to follow proven patterns for Tasks integration, quality checks, and external model invocation via claudish CLI.
qe-holistic-testing-pact
proffesor-for-testingApply the Holistic Testing Model evolved with PACT (Proactive, Autonomous, Collaborative, Targeted) principles. Use when designing comprehensive test strategies for Classical, AI-assisted, Agent based, or Agentic Systems building quality into the team, or implementing whole-team quality practices.
holistic-testing-pact
proffesor-for-testingApply the Holistic Testing Model evolved with PACT (Proactive, Autonomous, Collaborative, Targeted) principles. Use when designing comprehensive test strategies for classical, AI-assisted, agent-based, or agentic systems to build quality into the team or implement whole-team quality practices.
design-ui-window
ShareXRedesigns any Avalonia .axaml view/window to best-in-class UI/UX quality. Enforces consistent layout, spacing, typography, interaction, accessibility and visual hierarchy. Only changes visuals, layout and styles — never business logic, bindings or public view-model API. Reusable by updating target_view_path.
generate-assets
aiskillstoreGenerate high-quality images and assets for components (hero sections, features, transformations) using Replicate's FLUX 1.1 Pro model.
vibe
boshu2Comprehensive code validation. Runs complexity analysis then multi-model council. Answer: Is this code ready to ship? Triggers: "vibe", "validate code", "check code", "review code", "code quality", "is this ready".
ring:production-readiness-audit
LerianStudioComprehensive Ring-standards-aligned 44-dimension production readiness audit. Detects project stack, loads Ring standards via WebFetch, and runs in batches of 10 explorers appending incrementally to a single report file. Categories - Structure (pagination, errors, routes, bootstrap, runtime, core deps, naming, domain modeling, nil-safety, api-versioning, resource-leaks), Security (auth, IDOR, SQL, validation, secret-scanning, data-encryption, multi-tenant, rate-limiting, cors), Operations (telemetry, health, config, connections, logging, resilience, graceful-degradation), Quality (idempotency, docs, debt, testing, dependencies, performance, concurrency, migrations, linting, caching), Infrastructure (containers, hardening, cicd, async, makefile, license). Produces scored report (0-430, max 440 with multi-tenant) with severity ratings and standards cross-reference.
anthropic-mcp-builder
davekilleenGuide 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).
gemini-image-gen
einverneGuide for implementing Google Gemini API image generation - create high-quality images from text prompts using gemini-2.5-flash-image model. Use when generating images, creating visual content, or implementing text-to-image features. Supports text-to-image, image editing, multi-image composition, and iterative refinement.
sap-api-style
secondskyThis skill provides comprehensive guidance for documenting SAP APIs following official SAP API Style Guide standards. It should be used when creating or reviewing API documentation for REST, OData, Java, JavaScript, .NET, or C/C++ APIs. The skill covers naming conventions, documentation comments, OpenAPI specifications, quality checklists, deprecation policies, and manual documentation templates. It ensures consistency with SAP API Business Hub standards and industry best practices. Keywords: SAP API, REST, OData, OpenAPI, Swagger, Javadoc, JSDoc, XML documentation, API Business Hub, API naming, API deprecation, x-sap-stateInfo, Entity Data Model, EDM, documentation tags, API quality, API templates