Build stateful AI agents and agentic workflows with LangGraph in Python. Covers tool-using agents with LLM-tool loops, branching workflows, conversation memory, human-in-the-loop oversight, and production monitoring. Use when - (1) building agents that use tools and loop until task complete, (2) creating multi-step…
Guide for using qi, a local knowledge search CLI for macOS and Linux. Use this skill when the user wants to index documents into a searchable knowledge base, search or retrieve from one, configure qi's collections or embedding providers (Ollama, OpenAI-compatible), choose between its search modes (BM25, hybrid…
Checklist for adding a new AI provider (image, video, text, audio) that satisfies all 5 integration principles — ACL, bulkhead, idempotency, observability, and contract test. Load when integrating any new external AI API. Prevents the most common mistake of pasting httpx calls directly into a service.
Expert-level AI implementation, deployment, LLM integration, and production AI systems. Use when the user mentions AI engineering, LLM, deployment, production AI, or integration, or when the task involves LLM Patterns, LLM Integration, or Production Systems.
Operate Milvus vector database with pymilvus Python SDK. Use when the user wants to connect to Milvus, create collections, insert vectors, perform similarity search, hybrid search, full-text search, manage indexes, partitions, databases, or RBAC via Python code.
Compose a canopy prompt by inheriting from a base prompt and emit the rendered result. Use when an agent needs to author, update, or render canopy prompts inside this repo.
Generate text, conduct conversations, write code, and invoke tools using Qwen models through the OpenAI-compatible API. This skill is part of qwencloud/qwencloud-ai.
Build an awesome marimo notebook that brings a research paper or dataset to life — for competitions, tutorials, demos, or blog companions. Use when asked to "make an awesome marimo notebook," "build a notebook for this paper," "create a competition submission," or pair-program an interactive research explainer on…
Turn any folder of files (code, docs, papers, images, video) into a queryable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPHREPORT.md. Use when asked to analyze a codebase, understand architecture, map dependencies…
Battle-tested prompting guide for AI video and image generation in advertising. Covers universal prompting rules, hallucination prevention, the SLCT framework for structured prompts, camera movement vocabulary, UGC formulas, product shot techniques, and the pass³ quality test. Includes model-specific guidance for Sora…
Generate sophisticated, interactive HTML infographics and optional Markdown companion documents from RDF data in any format (Turtle, RDF/XML, N-Triples, JSON-LD). Transform knowledge graphs into visually stunning, data-driven narratives with advanced CSS effects, dynamic interactions, floating navigation, smooth…
A method for creating reusable customer-support prompts for people or chatbots. The pack can include tone rules, reply templates, escalation paths, refusals, privacy guidance, and quality checks.
Generates Python code that reads, writes, converts, and inspects data files with IterableData (pip install iterabledata; import iterable). Use when opening CSV, JSONL, Parquet, XML, WARC, GeoJSON, or other files; converting formats; streaming large files without pandas; or when the user mentions iterabledata…
End-to-end assistant skill for the Claude on Foundry Starter Kit (Azure-Samples/claude). Walks customers through deploying, verifying, modifying, debugging, and tearing down a Claude model deployment on Microsoft Foundry using either the Bicep or Terraform IaC variant in this repo, with one-command guidance via azd…
Use Microsoft Fabric CLI (fab) to manage workspaces, semantic models, reports, notebooks, lakehouses, and other Fabric resources via file-system metaphor and commands. Use when deploying Fabric items, running jobs, querying data, managing OneLake files, or automating Fabric operations. Invoke this skill automatically…
Create a Collibra Data Product from an existing physical table (name, UUID, or URL). Discovers related tables, checks for overlap, collects governance metadata, proposes the full set of assets, and after one explicit confirmation creates the Data Product, a Port, and a Data Contract.
Generates a complete, professional client onboarding package for AI consultants, AI auditors, and solopreneurs working in the AI space (AI strategy, automation, AI readiness audits, implementation, training, etc.). Use this skill whenever a user asks to onboard a new client, set up a client folder, write a welcome…
Run a full AI Playbook audit against an existing agentic application or AI feature. Orchestrates Decision Record reverse-engineering, security review, eval audit, launch check, and consolidated remediation planning in one flow. Use when the user explicitly runs /ai-audit or says "audit my AI app", "verify my agent…
FlowLLM repository development guidance. Use when working in the flowllm codebase to implement, debug, test, review, or document FlowLLM runtime behavior, including CLI/client calls, services, application wiring, jobs, steps, components, configuration, streaming, registry registration, and tests.
A connection between Python strategy files and TdxQuant, TongdaXin's platform for securities data analysis and quantitative investment research. It uses the platform's tqcenter.py module to interact with the TongdaXin client.
Guidance for an AI agent to enrich an Open Knowledge Format (OKF) bundle with high-quality concept descriptions using its own LLM — grounded in the bundle's schema, data profile, and samples — then optionally sync them back to the source. Use when an OKF bundle has missing, weak, or low-quality descriptions that…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: