agents▌
39 indexed skills · max 10 per page
convex-agents
waynesutton/convexskills · Productivity
Persistent, stateful AI agents with thread management, tool integration, streaming, and RAG on Convex. \n \n Thread management for multi-turn conversations with automatic persistence across restarts and real-time streaming responses to clients \n Tool integration allowing agents to execute Convex functions as callable tools for knowledge search, task creation, and external API calls \n Built-in vector search and RAG patterns for embedding documents and retrieving relevant context to augment agen
deep-agents-core
langchain-ai/langchain-skills · Productivity
Foundation framework for building multi-step agents with built-in planning, memory, and skill delegation. \n \n Provides six core middleware options: task planning, filesystem context management, subagent delegation, persistent memory, human approval workflows, and on-demand skill loading \n Includes three always-present built-in tools: write_todos for task tracking, filesystem operations ( ls , read_file , write_file , edit_file , glob , grep ), and task for spawning specialized subagents \n Su
create-agents-md
siviter-xyz/dot-agent · Productivity
Guide for creating AGENTS.md files for project-specific inline rules.
agents-md-generator
madteacher/mad-agents-skills · Productivity
Maintain small, high-signal AGENTS.md files:
no-polling-agents
parcadei/continuous-claude-v3 · Productivity
When launching parallel background agents, do NOT poll with sleep loops.
parallel-agents
davila7/claude-code-templates · Productivity
Orchestration through Claude Code's built-in Agent Tool
parallel-agents
parcadei/continuous-claude-v3 · Productivity
When launching multiple agents in parallel, follow this pattern to avoid context bloat.
dispatching-parallel-agents
davila7/claude-code-templates · Productivity
When you have multiple unrelated failures (different test files, different subsystems, different bugs), investigating them sequentially wastes time. Each investigation is independent and can happen in parallel.
computer-use-agents
davila7/claude-code-templates · Productivity
The fundamental architecture of computer use agents: observe screen, reason about next action, execute action, repeat. This loop integrates vision models with action execution through an iterative pipeline.
cloudflare-agents
jezweb/claude-skills · Cloud
Build stateful AI agents on Cloudflare Workers with WebSockets, persistent state, scheduling, and multi-agent coordination. \n \n WebSocket-based real-time communication with automatic state synchronization across clients and devices; resumable streaming persists across disconnects and page refreshes \n Built-in SQLite storage (up to 1GB per agent), task scheduling with cron expressions, and Durable Objects for globally unique, persistent agent instances \n Multi-agent coordination via routeAgen