Answer an explicitly vault-scoped question from an Obsidian wiki without changing it. Use when the user selects the vault as the evidence source: query the wiki, query quick, query deep, explain from the wiki, summarize the vault, find in wiki, search the wiki, or based on the wiki. Do not route ordinary general-knowledge questions here.

Apply the Fable-derived 10-stage OBSERVE, OBSERVE, LISTEN, THINK, CONNECT, CONNECT, FEEL, ACCEPT, CREATE, GROW loop to consequential or ambiguous reasoning and decisions. Use for think this through, deep think, architecture review, postmortem, tradeoff analysis, or challenges to assumptions. This is a reasoning review, not a deterministic vault health check or repair workflow.

Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.

UnityBridge workflow for AI operations in Unity Editor. Use when checking UnityBridge connectivity, Unity compile or PlayMode state, running deferred UnityBridge commands, operating assets/scenes/GameObjects/Inspector/Prefabs/GameView/screenshots, running Editor tests, or troubleshooting UnityBridge responses.

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.

Build, test, and maintain the Uno DevServer (CLI tool, RemoteControl Host, MCP proxy, add-in discovery). Use when working under src/Uno.UI.DevServer.Cli, src/Uno.UI.RemoteControl.Host, or src/Uno.UI.RemoteControl.DevServer.Tests, or on DevServer CLI commands, the MCP proxy, IDE channel, or add-in resolution.

Run MiniCPM5-1B or MiniCPM5-2B in LM Studio (desktop GUI) using either the GGUF runtime (cross-platform) or the MLX runtime (Apple Silicon, faster). Includes OpenAI-compatible local server. Use when the user mentions "LM Studio", desktop GUI inference, "lms" CLI, or wants a no-code chat UI for MiniCPM5.

Use this skill when creating a new Java E2E integration test (failsafe IT) that requires a new replay proxy YAML snapshot file in test/snapshots/

IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDA's API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida_* modules (50+), idautils iterators, and common patterns.

Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.

Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expose a model on SageMaker or AWS — including phrases like "deploy a model", "host this LLM on AWS", "serve this embedding model", "deploy a reranker", "deploy a text-to-image / diffusion model", "host this for async inference", "create an endpoint", "serve my fine-tuned model", or any request that involves making a model available for inference on AWS. Use this even when the user is vague (e.g. "I just want to get this running on AWS, you figure it out"). Works for text-generation LLMs, embedding models, rerankers, classifiers, text-to-image / diffusion models — picks the right serving stack and chooses between real-time and async inference. This is the entry-point skill for SageMaker deployment work — it asks clarifying questions, picks a deployment pathway, and coordinates the other deployment skills.

Evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running headless GPU evaluations with EGL rendering, or profiling inference latency on cluster or local GPU machines.

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.

Create EmDash CMS plugins with hooks, storage, settings, admin UI, API routes, and Portable Text block types. Use this skill when asked to build, scaffold, or implement an EmDash plugin, or when creating plugin features like custom block types, admin pages, or content hooks.

Use this skill for failed MoviePilot video or music transfer history IDs. Inspect the exact records, preserve durable retry evidence, group only records with a trustworthy shared identity, and re-identify/reorganize only legacy records that were actually deleted.

Use this skill when the user asks MoviePilot to identify and organize a local or downloaded video/music file, season folder, recording, album directory, or mixed folder that automatic transfer did not handle. If failed transfer history IDs are supplied, use transfer-failed-retry instead.

Use this skill when a user provides a torrent name or file name and wants to fix recognition issues, or asks to add/manage custom identifiers (自定义识别词). This skill generates identifier rules based on the WordsMatcher preprocessing logic, checks for duplicates against existing rules, and saves them through the structured MoviePilot API gateway. Because custom identifiers are global, generated rules must default to conservative, sample-specific regex patterns instead of broad matches unless the user explicitly wants global cleanup. Applicable scenarios include: 1) A torrent or file name is incorrectly recognized (wrong title, season, episode, etc.); 2) The user wants to block unwanted keywords from torrent names; 3) The user needs episode offset rules for series with non-standard numbering; 4) The user wants to force recognition of a specific media by source-native ID; 5) The user wants TV recognition to use a specific TMDB episode group.

Use this skill when the user sends a slash command or asks to run a MoviePilot system or plugin command in natural language. Discover the live command catalog, resolve the exact command, and dispatch it through the structured API gateway.

Use this skill when the user asks the agent to open, browse, inspect, extract content from, click through, fill forms on, screenshot, or verify a web page with a browser. Also use it for MoviePilot scenarios that need browser interaction, such as checking a site page, confirming a JavaScript-rendered result, testing login state, capturing visible errors, or updating and validating tracker site cookies.

Kubernetes network root cause analysis skill powered by Kubeshark MCP. Use this skill whenever the user wants to investigate past incidents, perform retrospective traffic analysis, take or manage traffic snapshots, extract PCAPs, dissect L7 API calls from historical captures, compare traffic patterns over time, detect drift or anomalies between snapshots, or do any kind of forensic network analysis in Kubernetes. Also trigger when the user mentions snapshots, raw capture, PCAP extraction, traffic replay, postmortem analysis, "what happened yesterday/last week", root cause analysis, RCA, cloud snapshot storage, snapshot dissection, or KFL filters for historical traffic. Even if the user just says "figure out what went wrong" or "compare today's traffic to yesterday" in a Kubernetes context, use this skill.