Guide for drafting, revising, and evaluating BrainLifts: AI-ready knowledge documents that move from purpose and scope to experts, DOK 2 knowledge trees, DOK 3 insights, and DOK 4 spiky points of view. Use when asked to create a BrainLift, improve BrainLift writing style, transform notes or research into structured AI…
A team workflow for solving mathematical modelling problems with code, including analysis, model selection, computation, plots, and reproducibility notes.
Use when working with Ceres — a Rust harvest-first toolkit and public open data metadata index. Covers harvesting and synchronization, optional embedding and search, CKAN, DCAT udata, and SPARQL-backed DCAT portal support, Parquet snapshot manifests/reports/changelogs, Ollama or hosted providers, CLI commands, REST…
Audit how a brand appears in AI-powered search (ChatGPT, Perplexity, Claude, Gemini). Use when user mentions "AI search," "how do I show up in ChatGPT," "AI discoverability," "AEO," "LLM visibility," or wants to understand their brand's AI presence.
Use when builds data transformation flows on top of cocoindex — a Python framework with a Rust engine for ultra-performant, incremental data indexing (ETL, RAG ingestion, knowledge graphs, vector search). Covers the flow-building public API: FlowBuilder, DataScope, DataSlice, Flow, FlowLiveUpdater, sources, targets…
Design LLM applications using LangChain 1.x and LangGraph for agents, memory, and tool integration. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.
Query and manage the Cogniac computer vision platform. Use when working with Cogniac tenants, applications, subjects, media, EdgeFlow/CloudFlow appliances, cameras, deployments, or workflows — including uploading media, checking fleet status, reading aggregate stats, or monitoring EdgeFlow/CloudFlow clusters. Triggers…
Use this skill when asked to create, refine, analyze, or optimize prompts for Large Language Models (LLMs). This skill ensures adherence to prompt engineering best practices and enforces a rigorous design workflow.
Translate between NLPCore and NARS through BrainClient/ModelMux while preserving an immutable Hermes transcript CID and its CoreNLP sentence/dependency record.
Guard and improve prompts before expensive Codex, IDE, or CLI agent work. Use when a prompt is vague, broad, risky, costly, or should be optimized before implementation.
Maximize Claude's output quality while minimizing input token usage. Use this skill whenever a user wants to compress prompts, reduce token consumption, extract maximum output from Claude, write high-density instructions, optimize system prompts, or improve AI communication efficiency. Trigger on phrases like…
Operate and evaluate Unified AI System through twelve governed MCP tools, including provider-free prompt enhancement, while preserving fake-provider, authorization, and evidence boundaries.
AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard positions. Use when: working on any Kaggle competition, analyzing…
Transform vague prompts into precise, verifiable structured XML prompts that coding agents execute reliably. Modes: execute (default — generate then run) and plan (generate XML for review first). Use when the user says improve prompt, make this work better, prompt engineer, structure a request, plan a complex change…
Autonomous ML research loop. Handles initialization (interactive dataset scan, EDA, user interview, strategy planning) and autonomous iteration (hypothesis selection, experiment execution via worker agent, state updates). Use when the user says "start research", "auto research", "run ML research", "initialize…
Inspect, select, rent, and observe AutoDL compute for a concrete research workload. Use when Codex must decide between local, existing, Pro, or Enterprise Elastic GPUs; validate disk, network, persistence, and runtime fit; or operate an approved AutoDL run through the API and SSH.
A tool for turning legal documents and other source material into a searchable local knowledge base. It supports sources such as PDF, DOCX, images, Markdown, and question-and-answer sets.
Run vLLM benchmark and profiling workflow in containerized environments. Provides automated model loading, concurrency sweep, torch profiling, and GPU kernel analysis. Works with AMD MI355X/MI300X and NVIDIA GPUs.
Use when Claude Code is asked to build, debug, evaluate, or integrate a crawler/data-collection workflow for a new website, new data source, or new data type. This skill enforces a staged engineering process: compliance and scope check, data contract definition, site exploration, API/HTML/rendered/WAF classification…
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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: