Agent Skills

launchdarkly-experiment-setup

✓★ 19

by launchdarkly

Set up and run experiments in LaunchDarkly. Create experiments with metrics, treatments, and flag config, start iterations to collect data, swap design between iterations, and stop with a winner.

tinybird

★ 19

by tinybirdco

Tinybird file formats, SQL rules, optimization patterns, and best practices for datasources, pipes, endpoints, and materialized views.

sdk-install

✓★ 19

by launchdarkly

Install and initialize the correct LaunchDarkly SDK during onboarding by running nested skills in order: detect, plan, apply. Parent onboarding Step 6 is first flag.

agent-graphs

✓★ 19

by launchdarkly

Create and manage agent graphs — directed graphs of configs connected by edges with handoff logic. Use when building multi-agent workflows where configs route to each other.

launchdarkly-flag-command

✓★ 19

by launchdarkly

Resolve `/flag` style requests into the right LaunchDarkly flag lookup flow. Use when the user types `/flag`, asks to quickly find a flag by name/key, wants a direct flag detail summary, or needs fast disambiguation between similar flags.

snippets

✓★ 19

by launchdarkly

Create and manage prompt snippets — reusable text blocks referenced inside config variation prompts. Keeps common instructions, personas, and guardrails consistent across multiple configs.

tinybird-python-sdk-guidelines

★ 19

by tinybirdco

Tinybird Python SDK for defining datasources, pipes, and queries in Python. Use when working with tinybird-sdk, Python Tinybird projects, or data ingestion and queries in Python.

tinybird-typescript-sdk-guidelines

★ 19

by tinybirdco

Tinybird TypeScript SDK for defining datasources, pipes, and queries with full type inference. Use when working with @tinybirdco/sdk, TypeScript Tinybird projects, or type-safe data ingestion and queries.

create-page

✓★ 17

by notion

Create a new Notion page, optionally under a specific parent. Automatically structures content based on page type (meeting notes, project pages, etc.).

create-task

✓★ 17

by notion

Create a new task in the user's Notion tasks database with sensible defaults for due date, status, owner, and project.

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.

spec-to-implementation

✓★ 17

by notion

Turn product or tech specs into concrete Notion tasks. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking.

tasks-build

✓★ 17

by notion

Build a task from a Notion page URL. Fetches task details, marks it in progress, implements the work, and updates status in Notion.

find

✓★ 17

by notion

Quickly find pages or databases in Notion by title keywords. Returns precise matches rather than comprehensive results.

create-database-row

✓★ 17

by notion

Insert a new row into a specified Notion database using natural-language property values. Handles property name matching and validation.

database-query

✓★ 17

by notion

Query a Notion database by name or ID and return structured, readable results with optional filters and sorting.

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.

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.

tasks-plan

✓★ 17

by notion

Create an implementation plan from a Notion task or specification. Breaks down requirements into actionable steps with estimates and dependencies.

tasks-setup

✓★ 17

by notion

Set up a Notion task board for tracking tasks. Guides users through using a template or connecting an existing board.

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.

meeting-intelligence

✓★ 17

by notion

Prepare meeting materials by gathering context from Notion, enriching with research, and creating both an internal pre-read and external agenda saved to Notion.

sandbox-agent

★ 16

by rivet-dev

Deploy, configure, and integrate Sandbox Agent - a universal API for orchestrating AI coding agents (Claude Code, Codex, OpenCode, Amp) in sandboxed environments. Use when setting up sandbox-agent server locally or in cloud sandboxes (E2B, Daytona, Docker), creating and managing agent sessions via SDK or API, streaming agent events and handling human-in-the-loop interactions, building chat UIs for coding agents, or understanding the universal schema for agent responses.

slack-agent

★ 16

by vercel

Use when working on Slack agent/bot code, Chat SDK applications, Bolt for JavaScript projects, or projects using @chat-adapter/slack or @slack/bolt. Provides development patterns, testing requirements, and quality standards.

geist-learning-lab

★ 15

by vercel

Build explorative, interactive learning experiences as Next.js apps using the Geist design system. Use when creating tutorials, explorable explanations, interactive lessons, code sandboxes, quizzes, or any educational UI. Covers the Learning Loop pedagogy, 23+ learning component patterns, progress tracking, spaced repetition, and Bret-Victor-style interactive exploration — all with Geist's dark-first minimal aesthetic.

developing-genkit-go

★ 14

by genkit-ai

Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers.

pinecone-full-text-search

✓★ 14

by pinecone-io

Create, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-schema API (Python SDK 10.0.0, API version 2026-07). 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 + readiness polling); query construction is documented inline in this skill — write `documents.search(...)` calls directly, validated against `pc.indexes.describe(...)` output.

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.

developing-genkit-python

★ 14

by genkit-ai

Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.

pinecone-n8n

✓★ 14

by pinecone-io

Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pipelines, chat-with-docs workflows, configuring Pinecone nodes in n8n, troubleshooting Pinecone n8n nodes, or asking about best practices for Pinecone in n8n.