Create EmDash CMS plugins with sandboxed hooks, routes, storage, content and media APIs, MCP tools, and declarative admin UI, or native React and Astro extensions. Use when scaffolding or implementing an EmDash plugin.

Create EmDash CMS plugins with sandboxed hooks, routes, storage, content and media APIs, MCP tools, and declarative admin UI, or native React and Astro extensions. Use when scaffolding or implementing an EmDash plugin.

Build the site-facing parts of an EmDash CMS project on Astro, including schema and seeds, content queries, Portable Text rendering, menus, taxonomies, widgets, and deployment configuration. Use for EmDash site and theme work; use creating-plugins instead when the task is plugin authoring alone.

Build the site-facing parts of an EmDash CMS project on Astro, including schema and seeds, content queries, Portable Text rendering, menus, taxonomies, widgets, and deployment configuration. Use for EmDash site and theme work; use creating-plugins instead when the task is plugin authoring alone.

Build the site-facing parts of an EmDash CMS project on Astro, including schema and seeds, content queries, Portable Text rendering, menus, taxonomies, widgets, and deployment configuration. Use for EmDash site and theme work; use creating-plugins instead when the task is plugin authoring alone.

Build the site-facing parts of an EmDash CMS project on Astro, including schema and seeds, content queries, Portable Text rendering, menus, taxonomies, widgets, and deployment configuration. Use for EmDash site and theme work; use creating-plugins instead when the task is plugin authoring alone.

Classify an issue, identify missing information, and decide whether bounded automatic work is safe.

Investigate a single EmDash issue end to end -- classify, choose a repro path, reproduce, diagnose, verify, and (only on an explicit maintainer fix directive) fix and confirm. Every verdict carries its evidence.

Implement a maintainer-directed EmDash enhancement or change without forcing it through bug-reproduction fields. Run focused checks, publish the candidate, and report the results accurately.

Implement diagnose's proposed fix when verify says bug, the cause is pinned, and a maintainer triggered a fix. Follow EmDash conventions, run focused checks, publish the candidate, and report the results accurately.

Use this skill ONLY when the user explicitly asks to create, submit, push, or open a GitHub Pull Request for code changes. It prepares an isolated clone, reuses or creates the authenticated user's Fork, previews the real Git diff, and after exact confirmation commits and pushes the branch before creating the PR. It does not support submitting files from a non-Git directory.

Use this skill when the user asks to inspect, diagnose, or directly operate a configured Emby, Jellyfin, Plex, ZSpace, UGREEN, TrimeMedia, or Navidrome server. It discovers provider capabilities on demand and supports libraries, native movie/music search, episode coverage, recent media, resume state, playback sessions, statistics, scans, metadata refreshes, and provider play URLs without adding permanent tools.

Use this skill when the user asks to inspect, diagnose, or directly control a configured qBittorrent, Transmission, or rTorrent instance. It exposes provider capabilities on demand without adding permanent Agent tools, and is suitable for task files and selection, trackers, peers, queue order, limits, tags, locations, rechecks, direct provider submissions, or batch task control.

Audit and fix agent readiness: the Lighthouse Agentic Browsing fraction, accessibility tree for agents, robots.txt and Content-Signal for AI agents, WAF treatment of agent traffic, llms.txt, Markdown delivery, ai-catalog.json, /.well-known discovery files, and WebMCP tools. Exclude AI citability and brand signals (seo-geo) and commerce protocol depth (seo-ecommerce).

Matomo Reporting API extension. Self-hosted or Matomo Cloud analytics as a GA4 alternative or complement. Organic traffic, landing pages, device / country breakdowns, referrers, search keywords. Triggers on "Matomo", "self-hosted analytics", "analytics ohne Google", "GA4 alternative", "Matomo Reporting", "Piwik".

Use when developing or testing the MiMoCode repository and you need to programmatically drive another MiMoCode (mimo) process. Supports headless `mimo run` with JSON events and interactive TUI via tmux for behavior, integration, and visual regression testing. Covers an installed `mimo` binary or a dev build launched from source with `bun dev`; do not use it for ordinary MiMoCode task execution.

Reach into past AI conversation history through the `trellis mem` CLI. Use whenever the user asks 'how did we solve X last time', 'have we discussed this before', 'what was the decision on X', 'remind me what we did in this task', '上次怎么解的', '之前讨论过吗', '想起一段对话', or when starting a brainstorm that overlaps prior work, debugging a familiar bug, continuing a task across sessions, or doing a finish-work review. Returns raw past dialogue; decide for the moment whether to update spec, append to task notes, quote inline in the answer, or just internalize.

Use when writing or changing Ebitengine drawing code, arranging sprites or offscreen passes, or investigating rendering performance. Explains automatic draw batching, texture atlases, render dependencies, and how to inspect actual GPU commands. Apply during implementation, before performance problems appear.

Use this skill when writing, reviewing, debugging, or porting a Kage shader for Ebitengine — anything involving `//kage:unit pixels`, `ebiten.NewShader`, `DrawTrianglesShader`, `DrawRectShader`, or a `Fragment(dstPos vec4, src0Pos vec2, color vec4) vec4` entry point. Use it especially when translating an existing shader from GLSL, Shadertoy, HLSL, MSL, Godot, or Unity, where the source assumes 0..1 texture coordinates, `gl_FragCoord`, `texture()` sampling, a bottom-left origin, `uniform` declarations, a ternary operator, or straight (non-premultiplied) alpha — every one of which is wrong in Kage. Covers the atlas-relative coordinate model, sampling several source images of different sizes, premultiplied alpha, the Go subset Kage actually accepts, and how to compile-check a shader without a GPU.

Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migrating Snowflake dbt pipelines or models to Google Cloud BigQuery. Don't use for generic BigQuery queries or non-Snowflake SQL migrations.