Agent Skills

azure-search-documents-ts

✓★ 2,700

by microsoft

Build search applications using Azure AI Search SDK for JavaScript (@azure/search-documents). Use when creating/managing indexes, implementing vector/hybrid…

azure-ai

✓★ 2,700

by microsoft

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.…

jira

✓★ 1,200

by microsoft

Jira issue workflows for search, issue updates, transitions, comments, and field discovery via the Jira REST API. Use when you need to search with JQL, inspect…

competitor-analysis

✓★ 1,100

by firecrawl

Structured side-by-side comparison of competing products. Designed for search + scrape; no interact needed for typical marketing/pricing pages.

search-consumption-cli

✓★ 716

by microsoft

Update Check — ONCE PER SESSION (mandatory) The first time this skill is used in a session, run the check-updates skill before proceeding.

terraform-search-import

✓★ 697

by hashicorp

Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure…

terraform-search-import

✓★ 697

by hashicorp

Discover existing cloud resources using Terraform Search queries and bulk import them into Terraform management. Use when bringing unmanaged infrastructure…

azure-ai

✓★ 226

by Azure

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.

web-search

✓★ 158

by brave

Web search with ranked results, snippets, and support for freshness filters, SafeSearch, and custom ranking via Goggles. Returns structured results across multiple types: web pages, news, videos, discussions, FAQ, infobox, and locations in a single response Supports freshness filtering (past day/week/month/year or custom date ranges), SafeSearch levels, and location-aware results via headers Goggles enable custom result ranking: boost trusted sources, suppress spam, or build focused search...

videos-search

✓★ 158

by brave

USE FOR video search. Returns videos with title, URL, thumbnail, duration, view count, creator. Supports freshness filters, SafeSearch, pagination.

answers

✓★ 158

by brave

USE FOR AI-grounded answers via OpenAI-compatible /chat/completions. Two modes: single-search (fast) or deep research (enable_research=true, thorough…

bx

✓★ 158

by brave

USE FOR web search, research, RAG, grounding, browse, find, lookups, fact-checking, documentation, agentic AI. All-in-one, optimized for AI agents.…

spellcheck

✓★ 158

by brave

USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or…

news-search

✓★ 158

by brave

USE FOR news search. Returns news articles with title, URL, description, age, thumbnail. Supports freshness and date range filtering, SafeSearch filter and…

images-search

✓★ 158

by brave

USE FOR image search. Returns images with title, source URL, thumbnail. Supports SafeSearch filter. Up to 200 results.

local-descriptions

✓★ 158

by brave

USE FOR getting AI-generated POI text descriptions. Requires POI IDs obtained from web-search (with result_filter=locations). Returns markdown descriptions…

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...

sentry-fix-issues

✓★ 19

by sentry

Discover, analyze, and fix production issues using Sentry's full debugging capabilities. Integrates with Sentry MCP to search issues, retrieve stack traces, breadcrumbs, traces, and AI-generated root cause analysis across your project Follows a structured seven-phase workflow: discovery, deep analysis, hypothesis formation, code investigation, implementation, verification, and reporting Treats all Sentry event data as untrusted external input; enforces security constraints against embedded...

search

✓★ 17

by notion

Search the user's Notion workspace using the Notion MCP server. Use for finding pages, databases, and content by keywords or natural-language queries.

research-documentation

✓★ 17

by notion

Search across your Notion workspace, synthesize findings from multiple pages, and create comprehensive research documentation with proper citations and…

pinecone-full-text-search

✓★ 14

by pinecone-io

Create, ingest into, and query a Pinecone full-text-search (FTS) index using the preview API (2026-01.alpha, public preview). Use when the user or agent asks…

pinecone

✓★ 11

by firecrawl

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces.…

faiss

✓★ 11

by firecrawl

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types…

chroma

✓★ 11

by firecrawl

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function…

wp-wpcli-and-ops

✓★ 3

by firecrawl

Use when working with WP-CLI (wp) for WordPress operations: safe search-replace, db export/import, plugin/theme/user/content management, cron, cache flushing,…