AI & ML

fazxes Bundle

This skill should be used when the user wants to "package an MCP server", "bundle an MCP", "make an MCPB", "ship a local MCP server", "distribute a local MCP", discusses ".mcpb files", mentions bundling a Node or Python runtime with their MCP server, or needs an MCP server that interacts with the local filesystem, desktop apps, or OS and must be installable without the user having Node/Python set up.

fazxes Bundle

This skill should be used when the user wants to build an "MCP app", add "interactive UI" or "widgets" to an MCP server, "render components in chat", build "MCP UI resources", make a tool that shows a "form", "picker", "dashboard" or "confirmation dialog" inline in the conversation, or mentions "apps SDK" in the context of MCP. Use AFTER the build-mcp-server skill has settled the deployment model, or when the user already knows they want UI widgets.

fazxes Bundle

This skill should be used when the user asks to "build an MCP server", "create an MCP", "make an MCP integration", "wrap an API for Claude", "expose tools to Claude", "make an MCP app", or discusses building something with the Model Context Protocol. It is the entry point for MCP server development — it interrogates the user about their use case, determines the right deployment model (remote HTTP, MCPB, local stdio), picks a tool-design pattern, and hands off to specialized skills.

adonaivera Bundle

Evaluates FiftyOne plugins for quality, security, and agent-readiness. Use when reviewing a plugin before installation, auditing an existing plugin, validating a plugin you just built, or assessing community plugins for safety. Produces a structured report with scores and actionable recommendations.

adonaivera Bundle

Answers FiftyOne Python SDK questions with accurate, runnable code. Use when the user asks how to do something in the FiftyOne Python SDK, asks a docs question, no skill or operator covers their goal, or the agent is unsure of the correct FiftyOne method, argument, or field path while writing code — e.g. "how do I do X in Python", "show me the SDK for filtering", "there's no operator for this, can I do it in code", "what's the API for embeddings", "write me a Python script to do Y".

adonaivera Bundle

Diagnose and fix common FiftyOne issues automatically. Use when a dataset disappeared, the App won't open, changes aren't saving, MongoDB errors occur, video codecs fail, notebook connectivity breaks, operators are missing, or any recurring FiftyOne pain point needs solving.

adonaivera Bundle

Use when driving the FiftyOne App via the Playwright MCP — plugin/operator verification, demo or screencast recording, or any end-to-end UI automation against `fo.launch_app(...)`. Covers the critical "do not navigate after reload_dataset" crash, launcher patterns (remote=True, trigger-file IPC), MUI-specific input/dropdown gotchas, sidebar tag filtering, `data-cy` selectors, dialog scrolling, session refresh strategies, and cleanup. Trigger on mentions of "Playwright + FiftyOne", "automate FiftyOne App", "operator demo", "browser_navigate crash", "reload_dataset", or any FiftyOne session that silently dies after a UI action.

adonaivera Bundle

Imports datasets into FiftyOne with automatic format detection. Supports all media types (images, videos, point clouds), label formats (COCO, YOLO, VOC, KITTI), multimodal grouped datasets, and Hugging Face Hub datasets. Use when importing datasets from local files or Hugging Face, loading autonomous driving data, or creating grouped datasets.

falconnt Skill

Use when you need current, accurate information from the web - verifying claims, researching unfamiliar topics, looking up error codes, or when LLM training data may be outdated or insufficient. Selects appropriate Perplexity tool based on depth needed.

derhaken Skill

Use when a task requires interacting with a web browser — testing UI flows, verifying web app behavior, clicking through screens, reading live web content, or automating browser workflows in Google Antigravity

indiosmo Skill

Write a handoff document so a fresh agent or teammate can pick up the current work cold. Also use when wrapping up, running low on context, or asked to checkpoint state.

indiosmo Bundle

Fold a correction into durable agent guidance, or restructure a rules-and-examples guidance file into the adherence-optimized shape.

jwilger Bundle

Set up a full AI ensemble/mob programming team for any software project. Creates agent definition files (.claude/agents/), coordinator instructions (.team/coordinator-instructions.md), project owner constraints (PROJECT.md), team conventions (AGENTS.md), architectural decisions (docs/ARCHITECTURE.md), domain glossary, and supporting docs. Use when: (1) starting a new project and wanting a full expert agent team, (2) the user asks to "set up a team", "create a mob team", "set up ensemble programming", or "create agent profiles", (3) converting an existing project to the driver-reviewer mob model, (4) the user wants AI agents to work as a coordinated product team with retrospectives and consensus-based decisions.

jwilger Bundle

Event modeling facilitation for discovering and designing event-sourced systems using a structured 9-step workflow. Use when modeling domain workflows, designing event-sourced systems, writing Given/When/Then scenarios for commands or views, validating event models, or discussing event sourcing and domain-driven design. Triggers on: "model this workflow", "event model", "event sourcing", "what events do we need", "write GWT scenarios", "Given/When/Then", "validate the event model", "decompose into slices", "map this domain", "brainstorm events". Also activates for discovering domain actors, identifying automations, mapping integrations, or decomposing workflows into vertical slices. NOT for: implementing event store infrastructure, choosing databases, or writing application code.

adonaivera Bundle

Creates Jupyter notebooks for FiftyOne workflows including getting-started guides, tutorials, recipes, and full ML pipelines. Use when creating notebooks, writing tutorials, building demos, or generating FiftyOne walkthroughs covering data loading, exploration, inference, evaluation, and export.

adonaivera Bundle

End-to-end dataset curation for FiftyOne: inspect schema and quality, audit annotations, analyze class distributions, explore embeddings, find duplicates, create curated subsets, and build train/val/test splits. Works with any computer vision dataset type.

adonaivera Bundle

Evaluate model predictions against ground truth using COCO, Open Images, or custom protocols. Use when computing mAP, precision, recall, confusion matrices, or analyzing TP/FP/FN examples for detection, classification, segmentation, or regression tasks.

adonaivera Bundle

Use when integrating a model into FiftyOne's remote model zoo — detection, classification, segmentation, embedding, keypoint, or vision-language (VLM) models loaded via `register_zoo_model_source` and `load_zoo_model`, then applied with `dataset.apply_model`. Also for debugging zoo registration, `manifest.json` issues, custom `fom.Model` / `TorchModelMixin` subclasses, DataLoader pickle errors, or worker `ModuleNotFoundError` from spawned DataLoader workers.

adonaivera Bundle

Run ML model inference on FiftyOne datasets. Use when running models for detection, classification, segmentation, or embeddings. Discovers available models dynamically from the Zoo, plugin operators, or custom sources — never assumes a fixed model list.

adonaivera Bundle

Visualizes datasets in 2D using embeddings with UMAP or t-SNE dimensionality reduction. Use when exploring dataset structure, finding clusters, identifying outliers, or understanding data distribution.

diagrid-labs Bundle

This skill reviews agent tool implementations for idempotency, input validation, docstring quality, and convention violations. Use this skill when the user asks to "review agent tools", "check tool idempotency", "audit Dapr agent tools", or similar.

ai-dynamo-dynamo Bundle

Drives persistent Claude Code, Codex, or OpenCode agent sessions through a Dynamo OpenAI/Anthropic-compatible endpoint over Agent Client Protocol (ACP). Use when an agent must delegate a bounded task to another coding-agent harness running a model served by Dynamo, continue that harness across multiple turns, exercise tool calls, or validate agent request traces.

jwilger Bundle

Multi-agent coordination discipline: one-message-then-wait (send complete context, wait for reply before sending again), idle notifications are heartbeats (no action unless extended + blocking + user asked), no polling loops (event-driven only), never fabricate agent responses (wait for real system events), sequential agent spawning (acknowledge between each), and proper shutdown protocol (request, wait, respect rejection). Activate when orchestrating multiple agents, coordinating handoffs between agents, spawning subagents, or building multi-agent workflows. Triggers on: "coordinate agents", "spawn multiple agents", "manage agents", "agent keeps sending messages", "polling loop", "agent idle", "shut down agent", "multi-agent workflow", "agent handoff", "coordinate parallel work", "stop bothering the other agent". Also relevant when an agent is fabricating responses, sending follow-up messages before replies arrive, or reacting to idle notifications unnecessarily.

indiosmo Skill

Search library/API documentation via Context7 and Ref MCP tools.

diagrid-labs Bundle

This skill creates a durable AI agent application in .NET using Microsoft Agent Framework on Dapr Workflow. Use this skill when the user asks to "create an agent in .NET", "build an agent app in C#", or "scaffold a .NET agent with Microsoft Agent Framework".

diagrid-labs Bundle

This skill creates a durable AI agent application in Python with the Dapr Agents SDK or a Diagrid framework wrapper. Use this skill when the user asks to "create an agent in Python", "write a Python Dapr agent", "build an agent app in Python", "scaffold a Dapr Agents project", or "create a multi-agent orchestrator in Python".

diagrid-labs Bundle

This skill reviews agent memory and state-store configuration for correctness. Use this skill when the user asks to "review agent memory", "check state store config", "audit agent persistence", or similar.

diagrid-labs Skill

This skill checks prerequisites for building durable AI agents in .NET with Microsoft Agent Framework on Dapr Workflow. Use this skill when the user asks to "check prerequisites for .NET agents", "verify .NET agent environment", or "check .NET agent setup".

diagrid-labs Skill

This skill checks prerequisites for building durable AI agents in Python with the Dapr Agents SDK or a Diagrid framework wrapper. Use this skill when the user asks to "check prerequisites for Python agents", "verify Python agent environment", or "check Python agent setup".

diagrid-labs Bundle

This skill reviews agent projects for observability completeness — tracing, metrics, structured logging, and trace propagation. Use this skill when the user asks to "review agent observability", "audit agent tracing", "check agent metrics", or similar.

diagrid-labs Bundle

This skill reviews multi-agent orchestration for pub/sub topic conventions, loop safety, and handoff correctness. Use this skill when the user asks to "review agent orchestration", "check multi-agent handoffs", "audit agent pub/sub", or similar.

diagrid-labs Bundle

This skill creates a Dapr workflow application from a diagram. Use this skill when the user provides a workflow image (PNG, JPG, JPEG, GIF, WebP) or a BPMN 2.0 XML file (.bpmn, .bpmn20.xml) and asks to "create a workflow from this diagram", "generate a Dapr workflow from this image", "scaffold a workflow from this BPMN", or similar. Output language is Go, Python, .NET (C#), Java, or JavaScript — selected by the user or inferred from the prompt.

nikiforovall Skill

Analyze a task, propose an agent team composition with roles and responsibilities, and create the team after user confirmation. Use when the user says "team stack", "create a team", "set up agents for this", or describes a complex task that would benefit from multiple agents working together.

dhofheinz Skill

Core reference for EARS requirement patterns, Given/When/Then acceptance criteria, RFC 2119 language, requirement ID conventions, and specification quality checklists. Background knowledge for the spec-writer agent. Preloaded by spec-writer via the skills frontmatter field; not user-invocable.

ayoubben18 Skill

Compact the current conversation (or a side-topic that surfaced mid-grill) into a handoff document another agent can pick up. Use when a tangent deserves its own task, or to summarize a session for a fresh agent.

ayoubben18 Bundle

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.