tonone
claude23-agent engineering + product team with 125 skills for Claude Code
49 skills · 100 agents · hooks
LangChain 1.0 + LangGraph 1.0 skill pack for Python. Pain-first skills anchored to a 68-entry pain catalog covering content blocks, streaming token accounting, structured-output, vector stores, checkpointing, HITL, middleware, Deep Agents, and native OTEL. Includes 33 skills across four epics.
Plugin langchain-py-pack from marketplace claude-code-plugins-plus in jeremylongshore/tons-of-skills-marketplace. Commands read from the repo's manifest — 6 days ago.
langchain-ci-integrationWire LangChain 1.0 / LangGraph 1.0 tests into a GitHub Actions pipeline\
langchain-common-errorsPaste-match catalog of 14 real LangChain 1.0 / LangGraph 1.0 exceptions\
langchain-content-blocksWorks correctly with LangChain 1.0's typed content blocks on AIMessage.content\n\
langchain-core-workflowCompose LangChain 1.0 chains with RunnableParallel, RunnableBranch,\n\
langchain-cost-tuningControl LangChain 1.0 AI spend with accurate streaming token accounting,
langchain-data-handlingLoad and chunk documents for LangChain 1.0 RAG pipelines correctly \u2014\
langchain-debug-bundleProduce a reproducible, sanitized diagnostic bundle for a LangChain\
langchain-deep-agentsBuild a LangGraph 1.0 Deep Agent \u2014 planner + subagents + virtual\
langchain-deploy-integrationDeploy 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 over .env. Use when prepping a first production deploy, debugging a stream that hangs behind a proxy,
langchain-embeddings-searchBuild and query vector stores with LangChain 1.0 without getting burned
langchain-enterprise-rbacEnforce tenant isolation and role-based access across LangChain 1.0\
langchain-eval-harnessBuild reproducible evaluation pipelines for LangChain 1.0 chains and\
langchain-incident-runbookTriage LangChain 1.0 / LangGraph 1.0 production incidents \u2014 LLM-specific\
langchain-langgraph-agentsBuild a correct LangGraph 1.0 ReAct agent with create_react_agent — typed tools, error propagation, recursion caps, and stop conditions that actually stop. Use when writing a first tool-calling agent, migrating from AgentExecutor or initialize_agent, or diagnosing an agent that loops on vague prompt
langchain-langgraph-basicsBuild a correct LangGraph 1.0 StateGraph \u2014 typed TypedDict state\
langchain-langgraph-checkpointingPersist LangGraph agent state correctly with MemorySaver and PostgresSaver\
langchain-langgraph-human-in-loopBuild LangGraph 1.0 human-in-the-loop approval flows with interrupt_before\
langchain-langgraph-streamingPick the correct LangGraph 1.0 stream_mode ("messages" vs "updates
langchain-langgraph-subgraphsCompose LangGraph 1.0 subgraphs correctly \u2014 shared state key propagation,\n\
langchain-local-dev-loopBuild a fast, deterministic local test loop for LangChain 1.0 / LangGraph\
langchain-middleware-patternsBuild composable middleware for LangChain 1.0 chains and LangGraph 1.0\
langchain-model-inferenceInvoke Claude, GPT-4o, and Gemini through LangChain 1.0 without tripping
langchain-multi-env-setupBuild reliable dev / staging / prod isolation for LangChain 1.0 services\
langchain-observabilityWire LangSmith tracing and custom metric callbacks into a LangChain\
langchain-otel-observabilityWire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native
langchain-performance-tuningTune LangChain 1.0 / LangGraph 1.0 Python chains and agents for throughput,\n\
langchain-prompt-engineeringManage LangChain 1.0 prompts like code \u2014 LangSmith prompt hub versioning,\n\
langchain-rate-limitsRate-limit LangChain 1.0 calls correctly across multi-worker deployments\
langchain-reference-architectureA reference layered architecture for production LangChain 1.0 / LangGraph\
langchain-sdk-patternsCompose LangChain 1.0 Python runnables with the production defaults
langchain-security-basicsHarden a LangChain 1.0 chain or LangGraph agent against prompt injection,\
langchain-upgrade-migrationMigrate a LangChain 0.3.x Python codebase to LangChain 1.0 / LangGraph\
langchain-webhooks-eventsDispatch LangChain 1.0 chain/agent events to external systems \u2014\
23-agent engineering + product team with 125 skills for Claude Code
49 skills · 100 agents · hooks
Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, games, and more. Includes orchestrators for checkpoint, deploy, quality, fullstack, research, games, corpus, web, and python workflows.
51 agents
Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a deep run, and persistent per-project memory that lives in your repo and never leaves it. Runs on whatever model your session already uses — zero config, no API keys, no daemon. Works across Claude Code, Codex App/CLI, OpenCode, Grok, Antigravity, and Cursor.
18 skills · 23 agents · hooks
Claude Code skill pack for Shopify (38 skills covering e-commerce development, storefront APIs, and app integration)
38 skills
Claude Code skill pack for building with the Claude API and Anthropic SDK.
32 skills
Operator-grade Notion pack with 32 current access, data-source, content, webhook, security, reliability, and migration workflows
32 skills
Claude API and SDK documentation skill for building LLM-powered applications
19 skills
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
2 skills · 2 commands · 2 agents · 1 MCP server
Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
hooks
RuVLLM local inference with chat formatting, MicroLoRA fine-tuning, and SONA adaptation
3 skills · 1 command · 1 agent
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
Generate natively editable PPTX from PDF / DOCX / URL / Markdown — real DrawingML shapes, text boxes, charts, and animations. Note: run `pip install -r requirements.txt` inside the installed plugin directory for the Python post-processing scripts to work.
1 skill
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