Agent Skills

copilot-sdk

✓★ 36,200

by github

Programmatic agent runtime for embedding Copilot's agentic workflows in applications across Python, TypeScript, Go, and .NET. Exposes the same production-tested engine behind Copilot CLI with support for streaming responses, custom tool definitions, and multi-turn conversations Supports four language runtimes (Node.js 18+, Python 3.8+, Go 1.21+, .NET 8.0+) with consistent APIs across all platforms Enables integration with MCP servers for pre-built tools, custom agent personas with...

arize-instrumentation

✓★ 36,200

by github

INVOKE THIS SKILL when adding Arize AX tracing or observability to an app for the first time, or when the user wants to instrument their LLM app or get started…

qdrant-search-quality

✓★ 36,200

by github

Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant…

qdrant-performance-optimization

✓★ 36,200

by github

Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want…

qdrant-model-migration

✓★ 36,200

by github

Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update…

phoenix-tracing

✓★ 36,200

by github

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to…

phoenix-cli

✓★ 36,200

by github

Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review…

mini-context-graph

✓★ 36,200

by github

Standard RAG re-discovers knowledge from scratch on every query. This skill is different:

github-issues

✓★ 36,200

by github

Create, update, and manage GitHub issues with full workflow support including types, labels, assignees, and dependencies. Supports issue creation with type categorization (Bug, Feature, Task, etc.), labels, assignees, and milestones via gh api REST calls Read operations via MCP tools for fetching issue details, comments, labels, and cross-repository search Handles issue updates (title, body, state, labels, assignees) and includes templates for bug reports, feature requests, and tasks...

arize-trace

✓★ 36,200

by github

INVOKE THIS SKILL when downloading, exporting, or inspecting Arize traces and spans, or when a user wants to look at what their LLM app is doing using existing…

microsoft-skill-creator

✓★ 36,200

by github

Create hybrid agent skills for Microsoft technologies with local knowledge and dynamic Learn MCP lookups. Generates modular skill packages with frontmatter, reference documentation, and working code examples for any Microsoft technology (Azure, .NET, M365, Semantic Kernel, etc.) Uses three-phase investigation workflow: scope discovery via search, core content fetching, and depth exploration for best practices and troubleshooting Balances local storage of foundational concepts and common...

build-dashboard

✓★ 22,300

by anthropic

Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a…

google-agents-cli-scaffold

✓★ 4,700

by google

This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the Google ADK (Agent Development Kit) skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (use...

microsoft-foundry

✓★ 2,700

by microsoft

Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, prompt optimization,…

agent-framework-azure-ai-py

✓★ 2,700

by microsoft

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with…

microsoft-foundry

✓★ 2,700

by microsoft

Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, prompt optimization,…

agent-framework-azure-ai-py

✓★ 2,700

by microsoft

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with…

golang-data-structures

★ 2,400

by samber

Golang data structures — slices (internals, capacity growth, preallocation, slices package), maps (internals, hash buckets, maps package), arrays, container/list/heap/ring, strings.Builder vs bytes.Buffer, generic collections, pointers (unsafe.Pointer, weak.Pointer), and copy semantics. Use when choosing or optimizing Go data structures, implementing generic containers, using container/ packages, unsafe or weak pointers, or questioning slice/map internals.

microsoft-foundry

✓★ 1,300

by microsoft

Deploy, evaluate, and manage Foundry agents end-to-end: Docker build, ACR push, hosted/prompt agent create, container start, batch eval, continuous eval, prompt optimizer workflows, agent.yaml, dataset curation from traces. USE FOR: deploy agent to Foundry, hosted agent, create agent, invoke agent, evaluate agent, run batch eval, continuous eval, continuous monitoring, continuous eval status, optimize prompt, improve prompt, prompt optimizer, optimize agent instructions, improve agent...

microsoft-foundry

✓★ 1,300

by microsoft

End-to-end deployment, evaluation, and management of AI agents on Microsoft Foundry. Covers the complete agent lifecycle: creation from starter samples, containerization and ACR push, hosted or prompt agent deployment, invocation, batch evaluation, and prompt optimization Includes specialized sub-skills for deploy, invoke, observe (evaluation and prompt optimization), trace analysis, troubleshooting, and dataset curation from production traces Supports project and resource provisioning, RBAC...

owasp-llm

✓★ 1,200

by microsoft

OWASP Top 10 for LLM Applications (2025) vulnerability knowledge base for identifying, assessing, and remediating security risks in large language model…

langchain-rag

★ 846

by langchain-ai

Complete RAG pipeline for document ingestion, embedding, retrieval, and LLM-powered response generation. Supports multiple document loaders (PDF, web pages, directories) and persistent vector stores (Chroma, FAISS, Pinecone) with configurable chunk size and overlap for optimal context preservation Includes similarity search, MMR (Maximal Marginal Relevance) retrieval, and metadata filtering to balance relevance and diversity in results Works with OpenAI embeddings and integrates seamlessly...

llm-security

★ 232

by semgrep

Security guidelines for LLM applications based on OWASP Top 10 for LLM 2025. Use when building LLM apps, reviewing AI security, implementing RAG systems, or…

microsoft-foundry

✓★ 226

by Azure

Use this skill to work with Microsoft Foundry (Azure AI Foundry): deploy AI models, manage hosted agent and prompt agent, manage RBAC permissions and role assignments, manage quotas and capacity, create Foundry resources.

redis-development

✓★ 82

by redis

Redis performance optimization across data structures, query engines, vector search, and semantic caching. Covers 29 prioritized rules across 11 categories including data modeling, memory management, Redis Query Engine (RQE), vector search with RedisVL, and LangCache semantic caching Provides structured guidance for connection pooling, JSON document handling, streams, clustering, security (ACLs), and observability Each rule includes explanations, correct examples, anti-patterns or usage...

pinecone-assistant

✓★ 14

by pinecone-io

Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context…

pinecone-query

✓★ 14

by pinecone-io

Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding…

cms-live-preview-visual-builder-support-assistant

★ 4

by contentstack

Diagnose and guide Contentstack Live Preview and Visual Builder implementations. Trace preview context, identify the broken contract, and recommend the…