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LogChef CLI and LogchefQL query syntax for log analytics. Use this skill when querying logs via the logchef CLI, writing LogchefQL search filters, running ClickHouse SQL against log sources, managing saved collections, troubleshooting query errors, or learning LogchefQL syntax. Also use when the user mentions logchef, LogchefQL, log search, or wants to analyze logs from ClickHouse-backed sources.
CRITICAL: Use for Makepad 2.0 app structure and Rust integration. Triggers on: makepad app, makepad getting started, app_main!, App::run, MatchEvent, AppMain, handle_event, handle_actions, ScriptVm, from_script_mod, makepad boilerplate, makepad new project, makepad cargo, Cargo.toml setup, hot reload, --hot, live reload, wasm deploy, cargo makepad, media plugin, audio_output, audio_input, AudioBuffer, cx.audio, makepad audio, 音频, 应用结构, 入门, 新项目, 脚手架, 启动, 热重载, 部署
CRITICAL: Entry-level skill for Makepad 2.0 GUI development. This is the FIRST skill to load for any Makepad task — it provides design judgment anchors ABOVE the other 13 Makepad 2.0 skills. Triggers on: makepad, makepad app, makepad project, makepad design, live_design!, app_main!, script_mod!, Cx, WidgetRef, Widget, makepad-widgets, makepad architecture, makepad how to, "how should I", "should I use", "what's the best way", makepad 架构, makepad 设计, makepad 怎么做, makepad 最佳实践, 组件拆分, 状态管理, 数据流, 渲染思维
Test skill for SDK skill integration. Use read_skill_file to read reference.md for more details.
When the user wants to track App Store chart rank changes, find top gainers and losers, detect breakout apps entering the top 100, or identify apps dropping out of charts. Also use when the user mentions "chart movers", "rank changes", "who's rising", "who's falling", "new chart entries", "top gainers", or "market shifts". For broader market overview, see market-pulse. For competitive keyword analysis, see competitor-analysis.
When the user wants a comprehensive App Store market overview, daily/weekly market briefing, or combined view of chart movements, trending keywords, featured apps, and new releases. Also use when the user mentions "market overview", "what's happening on the App Store", "market briefing", "weekly report", "market trends", or "state of the market". For chart-specific rank changes only, see market-movers. For keyword trends only, see keyword-research.
Effect-TS patterns for Domain Modeling. Use when working with domain modeling in Effect-TS applications.
Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./metadata`. Optionally pairs with promotional text updates.
Track build processing, find latest builds, and clean up old builds with asc. Use when managing build retention or waiting on processing.
Determine whether an app is ready to submit, then drive the App Store release flow with asc, including first-time submission fixes for availability, in-app purchases, subscriptions, Game Center, and App Privacy.
Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want multiple AI perspectives on a question.
Generate Korean podcast episodes from any source (URLs, tweets, articles, PDFs) — analyzes content, writes a script, generates audio via OpenAI TTS, converts to MP4, and auto-uploads to YouTube. Use this skill whenever the user says 'make a podcast', 'convert to podcast', 'podcast', 'create an episode', 'turn this into audio', 'YouTube podcast', 'turn this article into a podcast', 'publish as audio', or provides sources and wants them transformed into a listenable format. Supports partial execution: script-only, TTS-only, or upload-only.
Answers gameplay questions about the Touhou Little Maid mod: getting started, taming maids, altar crafting, Power points, maid tasks and modes, backpacks, baubles, favorability, recovery, and other mod systems.
Search and maintain ASP internal knowledge records. Supports filtering database records and keyword or semantic retrieval in the vector store.
Operational knowledge for the grid_ctf scenario including strategy playbook, lessons learned, and resource references. Use when generating, evaluating, coaching, or debugging grid_ctf strategies.
Detect and eliminate common AI writing tropes from prose. Use when drafting,
Auto-activate CCS CLI delegation for deterministic tasks. Parses user input, auto-selects optimal profile (glm/kimi/custom) from ~/.ccs/config.json, enhances prompts with context, executes via `ccs {profile} -p "task"` or `ccs {profile}:continue`, and reports results. Triggers on "use ccs [task]" patterns, typo/test/refactor keywords. Excludes complex architecture, security-critical code, performance optimization, breaking changes.
Build a code-grounded implementation plan before coding. Use to trace packet flow, factory boundaries, provider config loading, and exact file-level change scope for a requested integration.
Build a code-grounded implementation plan before coding. Use to trace packet flow, factory boundaries, provider config loading, and exact file-level scope for requested integrations.
Explain and validate local setup paths for this repo with Docker and without Docker. Use when developers need exact prerequisites, startup commands, health checks, and troubleshooting steps.
