AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-21 00:11
Agents & models
24,324 results
Hooks Automation
Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre/post task hooks,…
ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and…
stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Swarm Orchestration
Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single…
claude-tradingview-mcp-autotrading
Automated cryptocurrency trading bot connecting Claude Code to TradingView charts and executing trades via BitGet with built-in safety checks
prompt-preflight-advice
Provide concise, goal-aligned suggestions before generating or optimizing image, video, audio, GPT Image, or storyboard prompts. Use when the user asks for…
prompt-improver
This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and…
telegram-userbots
Use when a Telegram job needs a user account rather than a bot token — reading history a bot cannot see, acting as a person, exporting at scale, or downloading…
shareplay-developer
Build, integrate, and troubleshoot SharePlay GroupActivities features for visionOS 27, including GroupActivity definitions, activation flows, GroupSession…
create-skill
Guides users through creating effective Agent Skills for Cursor. Use when the user wants to create, write, or author a new skill, or asks about skill…
spec-design-research
Use when you need to perform D1 research during the Spec-level design phase (output `{FEATURE_DIR}/design/research.md`), or when facing key uncertainties/high-risk points you need to validate first rather than going directly to D2; common symptoms include lack of evidence to support trade-offs, unknowns written as TODO/pending questions, and wanting to guess FEATURE_DIR under pressure…
show-airtable-link
Provides a clickable Airtable link whenever the agent has touched user-visible Airtable content. Use after every MCP call that creates, updates, lists,…
clawrouter
Hosted-gateway LLM router — save 67% on inference costs. A local proxy that forwards each request to the blockrun.ai gateway, which routes to the cheapest…
prompt-engineer-toolkit
Prompt engineering frameworks for building, testing, versioning, and evaluating prompts: chain-of-thought, few-shot, regression testing, and rubrics. Use when…
ops-oncall-log
Create a structured on-call log by pulling alerts from monitoring and writing a summary to your team's wiki. Requires a monitoring MCP (recommended: Datadog)…
gbrain-advisor
Proactive "make the most of gbrain" coaching. Runs `gbrain advisor` on a cadence and pings the user with the top high-leverage actions for their brain: version…
github-mcp-server
Reference for GitHub MCP server tools, methods, and usage patterns.
ultragoal
Run a large, multi-session goal (e.g. shipping a whole side product) through the full V-model closed loop, one phase at a time, with cross-session state and a…
agent-coordination
Multi-agent coordination discipline: one-message-then-wait (send complete context, wait for reply before sending again), idle notifications are heartbeats (no…
kubesense-dashboards
Create KubeSense dashboards over metrics, logs, and traces — either directly with the create-dashboard MCP tool or as preset JSON the user imports — with the…
bun-expert
Comprehensive Bun runtime expertise covering all major features. Use when working with Bun projects, migrating from Node.js, or leveraging Bun-specific…
int-project-context
Shared project context for all Copilot Studio sub-agents. Provides project structure, schema lookup usage, and skill invocation guidance.
nimble-agents
This skill should be used when the user asks to "get data from a website", "scrape a website", "extract product details", "compare prices across stores", "pull…