Skills
Browse curated AI skills for development, design, testing, and more.
Showing 1-24 of 433
MCP Developer
@Jeffallan
Safe
Use when building, debugging, or extending MCP servers or clients that connect AI systems with external tools and data sources. Invoke to implement tool handlers, configure resource providers, set up stdio/HTTP/SSE transport layers, validate schemas with Zod or Pydantic, debug protocol compliance is
data-engineeringMCP
RAG Architect
@Jeffallan
Safe
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications
data-engineeringdatabase
Skill Optimizer
@sickn33
Low Risk
Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent.
AI Agent
4
Docx Official
@sickn33
Low Risk
A user may ask you to create, edit, or analyze the contents of a .docx file. A .docx file is essentially a ZIP archive containing XML files and other resources that you can read or edit. You have different tools and workflows available for different tasks.
RAG
4.3597
lex
@sickn33
Low Risk
Centralized 'Truth Engine' for cross-jurisdictional legal context (US, EU, CA) and contract scaffolding.
Context
4595
Updated May 25, 2026"orchestrate-batch-refactor"
@sickn33
Low Risk
Plan and execute large refactors with dependency-aware work packets and parallel analysis.
AI Agent
4.2594
Updated May 25, 2026Customs Trade Compliance
@sickn33
Low Risk
Codified expertise for customs documentation, tariff classification, duty optimisation, restricted party screening, and regulatory compliance across multiple jurisdictions.
AI Agent
4.8594
Updated May 25, 2026Task Intelligence
@sickn33
Low Risk
Protocolo de Inteligência Pré-Tarefa — ativa TODOS os agentes relevantes do ecossistema ANTES de executar qualquer tarefa solicitada pelo usuário.
AI AgentDeployment
Makepad Dsl
@sickn33
Low Risk
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LLM
4.5593
Updated May 25, 2026Robius Widget Patterns
@sickn33
Low Risk
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RAG
4.1592
Updated May 25, 2026
Rules Distill
@affaan-m
Low Risk
Scan skills to extract cross-cutting principles and distill them into rules — append, revise, or create new rule files
LLM
4.2592
Updated May 25, 2026LLM Application Dev Langchain Agent
@sickn33
Low Risk
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGraph.
AI Agent
4.7586
Updated May 25, 2026AI Native CLI
@sickn33
Low Risk
Design spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description.
AI Agent
4.6582
Updated May 25, 2026Azure Eventhub Ts
@sickn33
Low Risk
High-throughput event streaming and real-time data ingestion.
AzureContext
AI Agent Development
@sickn33
Low Risk
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
AI Agent
4.8581
Updated May 25, 2026Using Neon
@sickn33
Low Risk
Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres.
RAG
4.1580
Updated May 25, 2026Hugging Face Model Trainer
@sickn33
Low Risk
Train or fine-tune TRL language models on Hugging Face Jobs, including SFT, DPO, GRPO, and GGUF export.
Deploymentfine-tuning
Azure Search Documents .NET
@sickn33
Low Risk
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search.
AzureRAG
Odoo Qweb Templates
@sickn33
Low Risk
Expert in Odoo QWeb templating for PDF reports, email templates, and website pages. Covers t-if, t-foreach, t-field, and report actions.
4.2592
Updated May 25, 2026Continuous Learning
@affaan-m
Low Risk
[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1; route continuous learning, session learning, and pattern extraction requests to continuous-learning-v2.
LLM
4.4592
MCP Builder
@ComposioHQ
Safe
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) or Node/TypeScript (MCP SDK).
APIjavascript
MCP Server Patterns
@0xDarkMatter
Safe
Build Model Context Protocol servers for Claude Code with tool definitions, resource handling, and transport layers.
claudeMCP
ML Pipeline
@Jeffallan
Safe
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation
infrastructuremachine-learning
Prompt Engineer
@Jeffallan
Safe
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-
Prompt
4.63.1K