agents-langchain
LangChain framework for building LLM apps with agents, chains, and RAG across providers. Use for chatbots, tool-calling agents, and retrieval workflows in…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
25,663 results
LangChain framework for building LLM apps with agents, chains, and RAG across providers. Use for chatbots, tool-calling agents, and retrieval workflows in…
Use when splitting complex work into parallelizable tasks and coordinating multiple agents. Focus on clear task boundaries, shared context, and consolidation…
Prompt engineering workflow for building reliable assistants and agents: task decomposition, instruction hierarchy, tool-use patterns, safety constraints, and…
Create phases to close all gaps identified by milestone audit
Design agent memory architectures for cross-session persistence. Use for building learning systems, maintaining entity consistency, and temporal knowledge…
Dispatch multiple independent agent tasks for concurrent execution. Use when multiple unrelated failures or features need simultaneous work. Based on…
Execute work session initialization routine at conversation start. Identifies new skills, researches improvements for existing skills, and updates skill…
Run cross-agent memory bridge. Sync learnings between machine agents, update shared knowledge. Phase 5 of #1760.
Interacts with smart contracts via ABI encode/decode, read/write calls, deployment, proxy patterns, and multicall batching. Use when calling contract…
Integrates oracle and data feed services including Chainlink and Pyth price feeds, VRF randomness, and Chainlink Automation keepers. Use when consuming…
Handles real-world asset tokenization including treasuries, real estate, bonds on-chain, ERC-3643 compliance tokens, and yield distribution. Use for…
Integrates Web3 social protocols including Lens, Farcaster, Frames, reputation scores, and prediction markets. Use for social graph queries, on-chain…
Use when facing 3+ independent failures that can be investigated without shared state or dependencies - dispatches multiple Claude agents to investigate and…
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage,…
Relentlessly interview the user about a plan, design, or architectural decision — one question at a time, each with your recommended answer, exploring the…
Use when adding telemetry, tracing, or OpenTelemetry export to AI SDK for Python, or when reporting spans from durable or serverless execution.
Monitor and coordinate one tmux agent lane, reconstruct worker state from panes and recent Codex logs, classify progress and blockers, and produce concise…
Use when: auditing one or more finished or stopped sessions of an installed orchestrator agentic system, by session id, for wasted tokens, drift from the…
Evaluate and optimize AGENTS.md/CLAUDE.md instruction files through A/B testing. Use when the user says "eval my agents.md", "test my claude.md", "optimize my…
Use when about to make risky changes — refactors, migrations, destructive bash commands, schema changes, or experimental approaches that might need reverting.…
Internal Oz child-agent orchestration playbook for Claude Code child runs. Invoke only when the Oz harness system prompt tells you to coordinate with a lead…
Primary workflow-independent agent-facing consumer of shared XO Ask capability in AO/SO runtime binaries. Turns a caller's questions into one structured ask…
Numeric design role for Unity games. Use when designing, simulating, configuring, or validating tunable systems such as difficulty, economy, progression, drops, combat, and pacing.
Use when answering questions about OpenAI platform features, guides, and concepts: Responses API usage, agents, function calling, text generation, vision,…