AI Agent Skills

Design, deploy, and operate Apache Fluss streaming storage for sub-second real-time analytics. Use for Fluss log or primary-key table design, bucket sizing, tiering to P…

Design, migrate, tune, and maintain Apache Iceberg tables across query engines. Use for Iceberg schema and partition evolution, v2 to v3 upgrades, catalog selection, tim…

Deploy, configure, and build clients against Apache Iggy (Incubating), a Rust-native message streaming platform. Use for Iggy server deployment via Docker, Compose, or K…

Design, index, query, and tune Lance datasets and LanceDB tables for ML and AI workloads. Use for vector index selection such as IVF_PQ or IVF_HNSW_FLAT, ANN recall and…

Design, ingest into, tune, and operate Apache Paimon tables for streaming lakehouses. Use for Paimon primary-key or append-only table design, bucket sizing, changelog pr…

Analyze an uploaded or local reference poster, extract its reusable design system, and transpose that system to an original poster with a new theme, title, subtitle, or…

Capture Linux.do / L站 topic list titles, links, ids, categories/tags, reply/view/update snippets from the Codex in-app browser login session. Use when the user asks to 抓…

Capture, incrementally merge, summarize, and organize Telegram/飞机 chat records using the user's local Telethon setup. Use when the user asks to 抓飞机, 抓Telegram聊天记录, 抓归档聊天…

Guides designing the control loop, state/memory model, and tool boundaries for an LLM-driven agent. Use when a user asks to "design an agent architecture," choose betwee…

Guides rapidly triaging a sudden cost or latency spike affecting one specific agent workflow — scoping it, correlating it against recent changes, and applying a fast, sa…

Guides building evaluation harnesses, regression test suites, and runtime guardrails for LLM agents. Use when a user asks to "evaluate this agent," "write test cases for…

Guides diagnosing an active or recurring runaway agent tool-call loop and stopping it safely with a bounded retry policy and a hard ceiling — distinct from raising the i…

Compares GitNexus, Graphify, and CodeGraph — tools that precompute a structural knowledge graph of a codebase and expose it to AI coding agents via MCP, replacing repeat…

Sequences a complete, end-to-end AI agent stack deployment built on managed cloud services from scratch — a cloud landing zone, agent control-flow architecture, an LLM g…

Sequences a complete, end-to-end, fully self-hosted AI agent stack deployment from scratch — GPU procurement/sizing for open-weight model serving, self-hosted LLM servin…

Guides building LLM applications with LangChain's chain/agent abstractions and, for stateful multi-step agents, LangGraph's graph-based orchestration (nodes, edges, cycl…