Building AI agents

Build a new AI agent on AWS and deploy it easily, OR wrap and deploy an agent you already have, using the Amazon Bedrock AgentCore harness.

hoodini/ai-agents-skills

Best practices for building AI agents with Google's Agent Development Kit (ADK) in Python, covering agent design, tools, sessions, memory, artifacts, evaluation, and deployment.

Mindrally/skills

Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

neo4j-contrib/neo4j-skills

Creates new specialized agents with frontmatter, tools, delegation.

softspark/ai-toolkit

Build .NET AI agents, harnesses, and multi-agent workflows with Microsoft Agent Framework using the right agent type, sessions, tools, workflows, hosting protocols, and enterprise guardrails.

managedcode/dotnet-skills

Build high-performing OpenClaw agents end-to-end with comprehensive safety features.

LeoYeAI/openclaw-master-skills

创建新的 OpenClaw Agent 及其 workspace。包含四个阶段：信息收集、 workspace 构造、系统注册、重启验证。

LeoYeAI/openclaw-master-skills

提供数据库设计、优化、数据工程和数据分析能力。当需要处理数据库操作、数据管道或数据分析时使用. An agent skill from Prorise-cool/Claude-Code-Multi-Agent.

Prorise-cool/Claude-Code-Multi-Agent

Scaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional…

jeremylongshore/tons-of-skills-marketplace

Create production-grade agent .md files aligned with the current Anthropic subagent contract.

jeremylongshore/tons-of-skills-marketplace

Wire LangChain 1.0 / LangGraph 1.0 tests into a GitHub Actions pipeline — unit tests with FakeListChatModel, VCR-gated integration tests, warning-filter policy, and eval-regression merge gates.

jeremylongshore/tons-of-skills-marketplace

Paste-match catalog of 14 real LangChain 1.0 / LangGraph 1.0 exceptions with named causes and named fixes, plus a triage decision tree.

jeremylongshore/tons-of-skills-marketplace

Works correctly with LangChain 1.0's typed content blocks on AIMessage.content — text, tooluse, image, thinking, document — across Claude, GPT-4o, and Gemini, including multi-modal composition and…

jeremylongshore/tons-of-skills-marketplace

Compose LangChain 1.0 chains with RunnableParallel, RunnableBranch, RunnablePassthrough.assign, and RunnableLambda — correct input/output shapes, debug probes, and typed composition that catches…

jeremylongshore/tons-of-skills-marketplace

Control LangChain 1.0 AI spend with accurate streaming token accounting, model tiering, provider-specific cache hit tuning, per-tenant budgets, and retry dedup.

jeremylongshore/tons-of-skills-marketplace

Load and chunk documents for LangChain 1.0 RAG pipelines correctly — language-aware splitters, table-safe PDF loaders, Cloudflare-compatible web loaders, chunk-boundary strategies that survive…

jeremylongshore/tons-of-skills-marketplace

Produce a reproducible, sanitized diagnostic bundle for a LangChain / LangGraph incident — environment snapshot, version manifest, filtered astreamevents(v2) transcript, propagating callback stack…

jeremylongshore/tons-of-skills-marketplace

Build a LangGraph 1.0 Deep Agent — planner + subagents + virtual filesystem + reflection loop — without the state-growth and prompt-inheritance traps.

jeremylongshore/tons-of-skills-marketplace

Deploy a LangChain 1.0 / LangGraph 1.0 app to Cloud Run, Vercel, or LangServe correctly — with timeouts sized for chain length, cold-start mitigation, SSE anti-buffering headers, and Secret Manager…

jeremylongshore/tons-of-skills-marketplace

Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks, and chunk-splitter bugs.

jeremylongshore/tons-of-skills-marketplace

Enforce tenant isolation and role-based access across LangChain 1.0 chains and LangGraph 1.0 agents — per-request retriever construction, tenant-scoped rate limits, role-scoped tool allowlists, and…

jeremylongshore/tons-of-skills-marketplace

Build reproducible evaluation pipelines for LangChain 1.0 chains and LangGraph 1.0 agents — golden datasets, LangSmith evaluate(), ragas RAG metrics, deepeval LLM-as-judge, agent trajectory…

jeremylongshore/tons-of-skills-marketplace

Triage LangChain 1.0 / LangGraph 1.0 production incidents — LLM-specific SLOs, provider outage runbook, latency spike decision tree, cost-overrun response, agent loop containment.

jeremylongshore/tons-of-skills-marketplace

Build a correct LangGraph 1.0 ReAct agent with createreactagent — typed tools, error propagation, recursion caps, and stop conditions that actually stop.

jeremylongshore/tons-of-skills-marketplace

Build a correct LangGraph 1.0 StateGraph — typed TypedDict state with reducers, nodes, edges, compile, and recursion budgets — without hitting the silent-termination and state-replacement traps.

jeremylongshore/tons-of-skills-marketplace

Persist LangGraph agent state correctly with MemorySaver and PostgresSaver — threadid discipline, JSON-serializable state rules, time-travel, schema migration.

jeremylongshore/tons-of-skills-marketplace

Build LangGraph 1.0 human-in-the-loop approval flows with interruptbefore / interruptafter and Command(resume=...) — JSON-serializable state, clean resume semantics, and UI wiring for approval…

jeremylongshore/tons-of-skills-marketplace

Pick the correct LangGraph 1.0 streammode ("messages" vs "updates" vs "values"), wire it into SSE or WebSocket without proxy-buffering gotchas, and filter astreamevents(v2) server-side before…

jeremylongshore/tons-of-skills-marketplace

Compose LangGraph 1.0 subgraphs correctly — shared state key propagation, Send / Command(graph=...) dispatch, callback scoping, per-subgraph recursion budgets, and testing each subgraph in isolation.

jeremylongshore/tons-of-skills-marketplace

Build a fast, deterministic local test loop for LangChain 1.0 / LangGraph 1.0 — FakeListChatModel fixtures, pytest config, VCR cassettes with key redaction, warning-filter policy.

jeremylongshore/tons-of-skills-marketplace

Invoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping on the content-block, token-accounting, and structured-output quirks that silently break production code.

jeremylongshore/tons-of-skills-marketplace

Build reliable dev / staging / prod isolation for LangChain 1.0 services — Pydantic Settings + SecretStr, cloud Secret Manager in prod, per-env prompt and model version pinning, env-specific…

jeremylongshore/tons-of-skills-marketplace

Wire LangSmith tracing and custom metric callbacks into a LangChain 1.0 chain or LangGraph 1.0 agent correctly — env-var spelling, subgraph propagation, per-tenant dimensions, cost and latency…

jeremylongshore/tons-of-skills-marketplace

Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span…

jeremylongshore/tons-of-skills-marketplace

Tune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput, latency, and cost — streaming modes, explicit batch concurrency, semantic plus exact caches, persistent message history…

jeremylongshore/tons-of-skills-marketplace

Manage LangChain 1.0 prompts like code — LangSmith prompt hub versioning, XML-tag conventions for Claude, few-shot example selection, discriminated-union extraction schemas, and A/B test wiring.

jeremylongshore/tons-of-skills-marketplace

Rate-limit LangChain 1.0 calls correctly across multi-worker deployments — Redis-backed limiters, asyncio.Semaphore, narrow exception whitelists, and provider-specific throttle handling.

jeremylongshore/tons-of-skills-marketplace

A reference layered architecture for production LangChain 1.0 / LangGraph 1.0 services — LLM factory with version-safe defaults, chain/graph registry, retriever and tool DI, Pydantic-validated…

jeremylongshore/tons-of-skills-marketplace

Compose LangChain 1.0 Python runnables with the production defaults the docs do not warn about: parallel batching, narrow fallbacks, and brace-safe prompts.

jeremylongshore/tons-of-skills-marketplace

Migrate a LangChain 0.3.x Python codebase to LangChain 1.0 / LangGraph 1.0 without breaking production — named breaking changes, codemod patterns, and a phased rollout.

jeremylongshore/tons-of-skills-marketplace

Dispatch LangChain 1.0 chain/agent events to external systems — webhooks, Kafka, Redis Streams, SNS — via async fire-and-forget callbacks, subgraph-aware wiring, and HMAC-signed delivery with…

jeremylongshore/tons-of-skills-marketplace

Build and deploy generative AI agents on Vertex AI: Gemini model selection, RAG with grounded retrieval, function calling, multimodal extraction, evaluation, and Agent Engine deployment with…

jeremylongshore/tons-of-skills-marketplace

Context management engine for AI coding agents. An agent skill from borghei/Claude-Skills.

borghei/Claude-Skills

Patterns for AI agents that learn from their own execution, detect failure modes, and improve autonomously.

borghei/Claude-Skills

Harness Engineering 第一阶段：扫描现有项目，生成 AGENTS.md（目录文件）和完整的 docs/ 知识库结构。

simbajigege/book2skills

Harness Engineering 第一阶段第二步：深度分析项目代码，填充业务解决方案、架构、约定、技术决策和质量标准等 docs/ 知识库内容。

simbajigege/book2skills

A skill your agent uses for maintaining, migrating, debugging, and safely operating Microsoft AutoGen Python 0.7.x applications, including AgentChat, Core runtimes, extensions, Studio, Magentic-One…

VectorSpaceLab/AREX-Skill

Pre-creating Effect-based Golem agent instances with golem agent new.

golemcloud/golem