AGENT SKILLS · EQUIPAMENTO DE MISSÃO
Agent Skills úteis classificados pelo uso real
Compare Skills verificados por finalidade, conteúdo do pacote, instalações e evidências da fonte antes de adicioná-los.
- ESCOPO DO CATÁLOGO
- VERIFICADO
- Skills
- 17.083
- repositórios
- 2744
- última sincronização
- 16 de out. de 2026
mongodbmongodb-search-and-ai
Guides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions. Use this skill when users need to build search functionality for text-based queries (autocomplete, fuzzy matching, faceted search), semantic similarity (embeddings, RAG applications), or combined approaches. Also use when users need text containment, substring matching ('contains', 'includes', 'appears in'), case-insensitive or multi-field text search, or filt
- instalações
- 2
- GitHub Stars
- 189
- Atualizado
- 15 de out.
braveanswers
USE FOR AI-grounded answers via OpenAI-compatible /chat/completions. Two modes: single-search (fast) or deep research (enableresearch=true, thorough multi-search). Streaming/blocking. Citations.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravebx
USE FOR web search, research, RAG, grounding, browse, find, lookups, fact-checking, documentation, agentic AI. All-in-one, optimized for AI agents. Pre-extracted, token-budgeted web content, deep research, news, images, videos, places, custom ranking
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
braveimages-search
USE FOR image search. Returns images with title, source URL, thumbnail. Supports SafeSearch filter. Up to 200 results.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravellm-context
USE FOR RAG/LLM grounding. Returns pre-extracted web content (text, tables, code) optimized for LLMs. GET + POST. Adjust maxtokens/count based on complexity. Supports Goggles, local/POI. For AI answers use answers. Recommended for anyone building AI/agentic applications.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravelocal-descriptions
USE FOR getting AI-generated POI text descriptions. Requires POI IDs from local-place-search, or from web-search with resultfilter=locations. Returns markdown descriptions grounded in web search context. Max 20 IDs per request.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravelocal-place-search
USE FOR finding places in the physical world - businesses, POIs, street addresses, cities and streets. Results carry address, coordinates, rating, opening hours and phone, so basic details need no follow-up call. Standalone - no POI IDs or prior web search required; the IDs it returns work with local-pois and local-descriptions. Locate by coordinates or a location string, or omit both to search globally. Omit the query to browse an area. Max 100 results.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravelocal-pois
USE FOR getting local business/POI details. Requires POI IDs from local-place-search, or from web-search with resultfilter=locations. Returns full business information including ratings, hours, contact info. Max 20 IDs.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravenews-search
USE FOR news search. Returns news articles with title, URL, description, age, thumbnail, profile. Supports freshness and date range filtering, SafeSearch filter and Goggles for custom ranking.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravespellcheck
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 "Did you mean?" UI.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravesuggest
USE FOR query autocomplete/suggestions. Fast (<100ms). Returns suggested queries as user types. Supports rich suggestions with entity info. Typo-resilient.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
bravevideos-search
USE FOR video search. Returns videos with title, URL, thumbnail, duration, view count, creator. Supports freshness filters, SafeSearch, pagination.
- instalações
- 2
- GitHub Stars
- 186
- Atualizado
- 23 de set.
mcollinanode
Provides domain-specific best practices for Node.js development with TypeScript, covering type stripping, async patterns, error handling, streams, modules, testing, performance, caching, logging, and more. Use when setting up Node.js projects with native TypeScript support, configuring type stripping (--experimental-strip-types), writing Node 22+ TypeScript without a build step, or when the user mentions 'native TypeScript in Node', 'strip types', 'Node 22 TypeScript', '.ts files without compila
- instalações
- 2
- GitHub Stars
- 2 mil
- Atualizado
- 5 de out.
mongodbmongodb-query-optimizer
- Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.
- instalações
- 2
- GitHub Stars
- 189
- Atualizado
- 15 de out.
julianoczkowskiinformation-architecture
Define the structural layer of a product or site before visual design begins. Covers navigation, content hierarchy, page structure, URL patterns, and user flows. Use when user wants to plan site structure, define navigation, map user flows, organize content, or mentions "IA" or "information architecture".
- instalações
- 2
- GitHub Stars
- 588
- Atualizado
- 6 de jul.
ailabs-393finance-manager
Comprehensive personal finance management system for analyzing transaction data, generating insights, creating visualizations, and providing actionable financial recommendations. Use when users need to analyze spending patterns, track budgets, visualize financial data, extract transactions from PDFs, calculate savings rates, identify spending trends, generate financial reports, or receive personalized budget recommendations. Triggers include requests like "analyze my finances", "track my spendin
- instalações
- 2
- GitHub Stars
- 457
- Atualizado
- 11 de nov.
pulumipulumi-best-practices
Load when the user is writing, reviewing, or debugging Pulumi TypeScript/Python programs; asks about Output or apply() usage; wants to create ComponentResource classes; needs to refactor resources without destroying them (aliases); is setting up secrets or config; or is configuring a pulumi preview/up CI workflow. Also load for questions about resource dependency order, parent/child resource relationships, or pulumi.interpolate.
- instalações
- 2
- GitHub Stars
- 78
- Atualizado
- 9 de out.
pydanticlogfire-evals
Run offline Python (pydanticevals) or Node.js (logfire/evals) evaluations and review them in Logfire. Also redirect existing Braintrust Eval() suites. Use for eval setup, test datasets, AI scoring, agent checks, LLM judges, Braintrust migration, or Logfire Datasets & Experiments. Not for live traffic or infrastructure monitoring.
- instalações
- 2
- GitHub Stars
- 142
- Atualizado
- 15 de out.
pydanticlogfire-infrastructure
Monitor hosts, Docker containers, Kubernetes clusters, database/queue/cache servers, and cloud-provider metrics with Pydantic Logfire — no application code required. Use this skill whenever the user asks to "monitor my host/server/VM", "monitor my Docker containers", "monitor my Kubernetes cluster", "send infrastructure metrics to Logfire", "watch my database/Postgres/Redis/MongoDB/Kafka", "collect cloud metrics" (AWS/GCP), or mentions the OpenTelemetry Collector in the context of Logfire. This
- instalações
- 2
- GitHub Stars
- 142
- Atualizado
- 15 de out.
pydanticlogfire-instrumentation
Add Pydantic Logfire observability to application code — traces, logs, metrics, and AI/agent spans. Use when the user asks to add or configure Logfire, observability, tracing, logging, or monitoring; maximize useful telemetry; or understand what an app is doing. Supports Python, JavaScript/TypeScript, Rust, and major AI agent frameworks including Pydantic AI, OpenAI Agents SDK, Claude Agent SDK, LangChain, LangGraph, CrewAI, AutoGen, and Google ADK. For infrastructure-only monitoring (hosts, Doc
- instalações
- 2
- GitHub Stars
- 142
- Atualizado
- 15 de out.
pydanticlogfire-query
Query and analyze Logfire telemetry data — traces, logs, spans, metrics, summaries, and SQL results. Use this skill when the user asks to "query logfire", "search traces", "find logs", "query data", "search spans", "look up errors in logfire", "get metrics from logfire", "analyze telemetry", "summarize errors", "find root cause", or add Logfire querying capabilities to code. Do not use this skill for direct Logfire UI, browser, live-view, Explore-page, or link-opening requests; use logfire-ui in
- instalações
- 2
- GitHub Stars
- 142
- Atualizado
- 15 de out.
pydanticlogfire-setup
Entry point for Pydantic Logfire — an observability, monitoring, and evals platform. Use this skill when the user asks to "set up Logfire", "add Logfire to my project", "get me set up properly with Logfire", "send as much data as would be useful", mentions Logfire without a specific scope, or their request spans more than one of instrumenting application code / monitoring infrastructure / evaluating AI behavior. If the request is clearly scoped to exactly one of those, fetch that specific skill
- instalações
- 2
- GitHub Stars
- 142
- Atualizado
- 15 de out.
pydanticlogfire-ui
Open or return Logfire project pages, live views, trace links, and Explore pages in the Codex browser without querying telemetry first. Use this skill when the user asks to "open in Logfire", "show in the live view", "open Explore", "open the UI", "show in Codex", "use the browser", "give me a link", or asks for a Logfire GUI/browser/live-view presentation of a project, time range, service, span, trace, log, or filter. If "show" or "view" wording is ambiguous, ask whether the user wants a UI vie
- instalações
- 2
- GitHub Stars
- 142
- Atualizado
- 15 de out.
pydanticmigrating-agno-to-pydantic-ai
Migrate Python Agno applications to Pydantic AI and, only when needed, Pydantic AI Harness. Use when source code imports agno or relies on Agno agents, teams, workflows, sessions, memory, knowledge, tools, hooks, guardrails, approvals, skills, streaming, or AgentOS.
- instalações
- 2
- GitHub Stars
- 142
- Atualizado
- 15 de out.