AI & ML

bikach Bundle

Domain-Driven Design reference for strategic and tactical modeling. Use when user says "model this domain", "design a bounded context", "create an aggregate", "what's a value object", "apply DDD", or asks about ubiquitous language, context mapping, entities, repositories, domain events, or aggregates. Do NOT use for infrastructure/DevOps, pure UI components, or simple CRUD without business rules.

storyclaw-official Bundle

Supports text-to-video and image-to-video (start/end frame). Use when the user needs to generate video, create short videos, or convert text to video. Use cases: (1) Generate video from text description, (2) Use reference images as start/end frame for image-to-video, (3) Customize model, aspect ratio, duration, resolution. Triggers: generate video, text-to-video, image-to-video, AI video.

iagocavalcante Skill

Download the persistent memory database from your self-hosted dashboard into the current repo. Use after cloning a repo on a new machine to restore accumulated sessions, knowledge, facts, and embeddings for RAG/context.

galaxyproject Bundle

Router for Galaxy MCP, JupyterLite notebooks, and BioBlend automation

galaxyproject Bundle

Galaxy Collection Transformation Command - transform Galaxy dataset collections reproducibly using Galaxy's native tools. Use when asked to filter, sort, relabel, restructure, flatten, nest, merge, or otherwise manipulate Galaxy collections.

galaxyproject Bundle

Write JupyterLite notebooks for Galaxy dataset interaction using gxy package

galaxyproject Bundle

Galaxy MCP server tools reference for histories, datasets, tools, and workflows

sawyer-middeleer Skill

Read-only audit of what Claude Code can currently see and do - settings layers, permission rules and modes, connected MCP servers, hooks, additionalDirectories, installed plugins, and sensitive files not covered by deny rules. Use when the user asks "what can you access", "audit my setup", "is anything exposed", or before starting work with confidential material. Makes no changes; never echoes secret or credential values.

sawyer-middeleer Bundle

Hardens Claude Code permissions with safe defaults for knowledge work. Use when the user wants to protect secrets or sensitive files, control what runs without asking, set up guardrails before working with confidential material, or says "secure my setup", "lock this down", "set up permissions". Writes settings.json rules the harness enforces - stronger than any prompt instruction.

sawyer-middeleer Bundle

Conducts in-depth analysis of a specific source or topic, producing a comprehensive, information-dense summary for research synthesis. Use when detailed analysis and documentation of an individual source is needed as part of a larger research effort. Primarily used by the research-analyst agent inside the deep-research workflow.

rayder-23 Skill

Design reusable prompt templates that encode domain-specific patterns for recurring AI development tasks. Use this skill when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. Transforms one-off prompts into parameterized templates that maintain quality while reducing cognitive load. Helps students move from Layer 2 (AI Collaboration) to Layer 3 (Intelligence Design) in the 4-Layer Teaching Method.

agenisea Skill

Design security architectures for agentic applications. Use when the user says "argus", "agent sec", or "agent auth". Creates layered defenses, audit systems, authentication patterns, and resilience safeguards.

josephanson Skill

Comprehensive audit of your Claude Code configuration — CLAUDE.md, skills, context files, settings, MCP configs, and hooks. Use when you want to clean up, deduplicate, or optimize your Claude Code setup. Invoke this skill whenever you mention auditing, reviewing, cleaning up, or optimising your Claude Code configuration, memory files, or instruction files.

agentconfig Skill

Create a new tutorial/content page on agentconfig.org with proper file structure, routing, and registry entry. Use when adding a new top-level page like /skills, /agents, or /mcp.

agenisea Skill

Architect the intelligence layer for agentic systems — RAG pipelines, model selection, embeddings, evaluation, and knowledge systems. Use when the user says "atlas", "ai data", "data arc". Produces data/ML architecture blueprints.

agenisea Skill

Design human-first agentic applications using Jobs To Be Done methodology. Use when the user says "brooks" or "jtbd brooks". Creates agent architectures focused on functional, emotional, and social dimensions.

agenisea Skill

Create app blueprints and agent prompts from rough ideas. Use when the user says "blueprompt" or "app blueprompt". Transforms concepts into structured specifications for v0, Lovable, Replit, or any AI builder.

sdyckjq-lab Bundle

个人知识库构建系统（基于 Karpathy llm-wiki 方法论）。让 AI 持续构建和维护你的知识库， 支持多种素材源（网页、推特、公众号、小红书、知乎、YouTube、PDF、本地文件）， 自动整理为结构化的 wiki。 触发条件：用户明确提到"知识库"、"wiki"、"llm-wiki"，或要求对已初始化的知识库执行 消化、查询、健康检查等操作。不要在用户只是要求"总结这篇文章"时触发——必须是明确的 知识库相关意图。

sdyckjq-lab Skill

升级 llm-wiki 到最新版本。从 GitHub 拉取最新代码并通过官方 install.sh 升级核心主线。 网页、X、微信公众号、YouTube、知乎自动提取依赖默认不刷新；需要时再显式开启。 触发词：upgrade llm-wiki、更新 llm-wiki、llm-wiki 升级、llm-wiki update

agentconfig Bundle

Generate llms.txt and llms-full.txt files for AI agent consumption following the llmstxt.org standard. Use when updating site content that should be reflected in the llms files, or when building/deploying the site.

agentconfig Bundle

Retrieve, normalize, compare, and cite authoritative AI provider documentation to verify what agentconfig.org publishes. Use when checking whether provider config locations, hook events, skills, MCP, custom agents, or precedence claims are still accurate, when adding a provider to the compatibility index, or when running the scheduled documentation refresh.

zainhas Bundle

Text-to-speech and speech-to-text via Together AI, including REST, streaming, and realtime WebSocket TTS, plus transcription, translation, diarization, timestamps, and live STT. Reach for it whenever the user needs audio in or audio out on Together AI rather than chat generation, image or video creation, or model training.

zainhas Bundle

Text-to-video and image-to-video generation via Together AI, including keyframe control, model and dimension selection, asynchronous job polling, and video downloads. Reach for it whenever the user wants motion generation on Together AI rather than still-image generation or text-only inference.

mystenlabs Bundle

Use when auditing, reviewing, or hunting for vulnerabilities in Move code on Sui. Applies equally to source code (.move files) and to disassembly of compiled bytecode (on-chain packages). A checklist of invariants whose VIOLATION causes exploitable bugs: access control & capabilities, struct abilities & type safety, object lifecycle & ownership, shared-object and PTB attack surface, dynamic fields & collections, arithmetic & coins, init/OTW/package upgrades, hot-potato composability, time & on-chain randomness, and test-only code leakage. Trigger on "audit this Move code", "find vulnerabilities in this Sui contract", "security review", "is this package safe?", "I suspect there's a bug in X", "something is wrong with this contract", or when reasoning about whether a Move function can be abused.

mystenlabs Bundle

Use when reading or reasoning about compiled Move bytecode or `sui move disassemble` output. Mental model for the binary format, what survives compilation (and what's lost), and how to read disassembly soundly. Trigger on "what does this package do?", "read this .mv module", "interpret this disassembly", or whenever an analysis needs to interpret bytecode faithfully.

zainhas Bundle

Remote Python execution in managed sandboxes on Together AI with stateful sessions, file uploads, data analysis, chart generation, and notebook-like runs via the Sandboxes API. Reach for it whenever the user wants managed remote Python execution instead of local execution, raw clusters, or full model hosting.

zainhas Bundle

Dense vector embeddings, semantic search, RAG pipelines, and reranking via Together AI. Generate embeddings with open-source models and rerank results behind dedicated endpoints. Reach for it whenever the user needs vector representations or retrieval quality improvements rather than direct text generation.

zainhas Bundle

LLM-as-a-judge evaluation framework on Together AI. Classify, score, and compare model outputs, select judge models, use external-provider judges or targets, poll results and download reports. Reach for it whenever the user wants to benchmark outputs, grade responses, compare A/B variants, or operationalize automated evaluations.

zainhas Bundle

LoRA, full fine-tuning, DPO preference tuning, VLM training, function-calling tuning, reasoning tuning, and BYOM uploads on Together AI. Reach for it whenever the user wants to adapt a model on custom data rather than only run inference, evaluate outputs, or host an existing model.

zainhas Bundle

High-volume, asynchronous offline inference at up to 50% lower cost via Together AI's Batch API. Prepare JSONL inputs, upload files, create jobs, poll status, and download outputs. Reach for it whenever the user needs non-interactive bulk inference rather than real-time chat or evaluation jobs.

zainhas Bundle

Custom Dockerized inference workers on Together AI's managed GPU infrastructure. Build with Sprocket SDK, configure with Jig CLI, submit async queue jobs, and poll results. Reach for it whenever the user needs container-level control rather than a standard model endpoint or raw cluster.

cdman28 Skill

Creates comprehensive test suites, validates functionality, and ensures code coverage. Use for test generation and quality assurance.

cdman28 Skill

Automatically validates AI-generated code/tests and retries fixes up to 3 times on failure. Use this after code generation or when tests fail.

getaero-io Bundle

Convert a Clay table configuration into local Deepline scripts. Handles extraction (MCP or script), documentation, action mapping, script generation, and parity validation against Clay ground truth.

guoqiao Bundle

Extract a HackerNews post (article + comments) into single clean Markdown for quick reading or LLM input.

googlecloudplatform-vertex-ai-samples Bundle

Evaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK. Creates eval datasets (from session traces or synthetic generation), selects and configures metrics (RubricMetric, LLMMetric, CodeExecutionMetric), executes evals via client.evals.evaluate(), and analyzes results to suggest concrete fixes. Supports both single-turn model evaluation and multi-turn agent trajectory evaluation. Use when asked to "evaluate my agent", "evaluate my model", "create eval dataset", "run evals", "analyze eval results", "which metrics should I use", "generate test data", or "improve quality".