Agent Skills

notion-research-documentation

✓★ 164

by notion

Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.

notion-knowledge-capture

✓★ 164

by notion

Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.

bx

✓★ 159

by brave

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

bx-search

✓★ 159

by brave

Web search using the Brave Search CLI (`bx`). Use for ALL web search requests — including "search for", "look up", "find", "what is", "how do I", "google this", and any request needing current or external information. Prefer this over the built-in web_search tool whenever bx is available. Also use for: documentation lookup, troubleshooting research, RAG grounding, news, images, videos, local places, and AI-synthesized answers.

markdown-to-epub-converter

★ 132

by smerchek

Convert markdown documents and chat summaries into formatted EPUB ebook files that can be read on any device or uploaded to Kindle.

analyzing-git-sessions

★ 121

by bitwarden

Analyzes git commits and changes within a timeframe or commit range, providing structured summaries for code review, retrospectives, work logs, or session documentation.

write-feature-docs

★ 119

by warpdotdev

Draft a complete documentation page for a new Warp feature from its PRODUCT.md and/or TECH.md spec. Use when an engineer has written a spec and needs to produce a first-pass MDX draft for the warpdotdev/docs repo. Also handles features without specs by researching the codebase first. Invoke this skill whenever an engineer mentions writing docs for a feature, drafting a docs page, creating feature documentation, starting the eng-docs workflow, or converting a spec into documentation. Works from w

langchain-rag

★ 108

by langchain-ai

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).

api-docs

★ 108

by langchain-ai

OpenAPI documentation and REST API design patterns

human-writing

★ 90

by factory-ai

Remove signs of AI-generated writing from text to make it sound more natural and human-written. Use when editing or reviewing any form of document including: markdown, technical docs, emails, blog posts, PRDs, or any dedicated writing content. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative par

client-onboarding-proposal

★ 84

by seranking

# Client onboarding proposal Produce the document an agency brings to the start of a client relationship: an honest read of where the client stands across SEO, AI search, and social — and a clear, scoped plan for what the agency will do. It pairs SE Ranking analysis (organic + AI visibility, competitive gaps, site health) with Planable's view of the client's current social performance. > **Posit

redis-search

✓★ 82

by redis

Redis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector ranking, RAG pipelines, zero-downtime index updates via aliases, and debugging with FT.PROFILE and FT.EXPLAIN. Use when defining a search index on Hash or JSON documents, writing FT.SEARCH queries with fi

neon-object-storage

✓★ 74

by neondatabase

S3-compatible object storage that branches with your Neon project, so files and the database stay in sync across every branch. Use when a user wants object storage, a bucket, blob/file storage, or somewhere to put uploads, images, documents, avatars, or user-generated files for their app or agent — especially when they already use (or are setting up) Neon Postgres and don't want to add a separate storage provider like AWS S3, Cloudflare R2, or Supabase Storage. Triggers include "object storage",

github-actions-docs

★ 70

by xixu-me

Use when users ask how to write, explain, customize, migrate, secure, or troubleshoot GitHub Actions workflows, workflow syntax, triggers, matrices, runners, reusable workflows, artifacts, caching, secrets, OIDC, deployments, custom actions, or Actions Runner Controller, especially when they need official GitHub documentation, exact links, or docs-grounded YAML guidance.

mastra

★ 64

by mastra-ai

Comprehensive Mastra framework guide for building agents, workflows, tools, memory, workspaces, and storage with current APIs. Use for documentation lookup, API verification, TypeScript setup, common errors, migrations, and `mastra api` CLI tasks: inspect or call resources on local, Mastra platform, or remote servers.

signals

★ 49

by posthog

How to query the document_embeddings table for raw signal data using HogQL. Use when you need to perform semantic search over signals, fetch every signal that contributed to a specific report, or list signal types. For browsing the curated report layer (the Inbox) — listing reports, filtering by status/source, drilling into a single report by ID — use the `inbox-exploration` skill first; drop into this skill afterwards if the user wants the underlying observations.

omni-content-builder

★ 35

by exploreomni

Create, update, and manage Omni Analytics documents and dashboards programmatically — document lifecycle, tiles, visualizations, filters, and layouts — using the REST API. Use this skill whenever someone wants to build a dashboard, create a workbook, add tiles or charts, configure dashboard filters, update an existing dashboard's model, set up a KPI view, create visualizations, lay out a dashboard, create a document, rename a workbook, delete a dashboard, move a document to a folder, duplicate a

omni-content-explorer

★ 35

by exploreomni

Find, browse, and organize content in Omni Analytics — dashboards, workbooks, folders, and labels — using the REST API. Use this skill whenever someone wants to find an existing dashboard, search for content, list workbooks, browse folders, see what dashboards exist, find popular reports, download a dashboard as PDF or PNG, favorite content, manage labels on documents, or any variant of "find the dashboard about", "what reports do we have", "show me our dashboards", "where is the sales report",

encore-go-bucket

★ 25

by encoredev

Store unstructured files in Encore Go using `objects.NewBucket` from `encore.dev/storage/objects` — uploads, images, documents, blobs.

encore-bucket

★ 25

by encoredev

Store unstructured files in Encore.ts using `Bucket` from `encore.dev/storage/objects` — uploads, images, documents, blobs.

Nia

★ 24

by nozomio-labs

Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor, document agent, data extraction, filesystem operations, and generic connectors.

tasks-explain-diff

✓★ 17

by notion

Generate a rich Notion document explaining code changes. Creates comprehensive documentation with background, intuition, code walkthrough, and verification steps.

knowledge-capture

✓★ 17

by notion

Transform conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context with proper organization and linking.

research-documentation

✓★ 17

by notion

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

test-studio-script-runner

★ 14

by sanity-io

Explains the dev/test-studio Script Runner tool. Use when adding, editing, running, or documenting scripts in dev/test-studio/src/script-runner, or when the user mentions the Scripts tool, Studio runner scripts, script variables, or browser-side Sanity Studio scripts.

pinecone-mcp

✓★ 14

by pinecone-io

Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.

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 to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct score_by clauses (text / query_string / dense_vector / sparse_vector), or compose with text-match filters ($match_phrase / $match_all / $match_any). Ships `scripts/ingest.py` for safe bulk ingestion (batch_upsert + error inspection + rea

pinecone-quickstart

✓★ 14

by pinecone-io

Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided tour of Pinecone's tools.

developing-genkit-dart

★ 14

by genkit-ai

Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications.

pinecone-docs

✓★ 14

by pinecone-io

Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.