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概要と使いどころ
Generic ad-hoc topic search across CopilotKit + AG-UI Discord/GitHub. "Find all reports about <topic> in the last <N> days." Returns a structured chronological list with reporter handles + 1-line summaries + optional enterprise enrichment. Triggers on "find all reports about", "search across both communities", "look for X in last N days".
日本語の概要は準備中です。原文の説明を表示しています。
Use when building Laravel real-time features — Broadcasting events, ShouldBroadcast, private/presence channels, Echo client. For non-Laravel WebSockets, use the stack-native skill.
日本語の概要は準備中です。原文の説明を表示しています。
Quick-save the last assistant response as a verbatim note in the 2ndBrain Obsidian vault (~/2ndBrain/quick-notes/<year>/). Use when the user asks to quick-save/save the last response to 2ndBrain, or invokes $2ndbrain or /skill:2ndbrain.
日本語の概要は準備中です。原文の説明を表示しています。
Scrum master for sprint planning and story preparation. Use when the user asks to talk to Bob or requests the scrum master.
日本語の概要は準備中です。原文の説明を表示しています。
Use when you need blast-radius analysis, dependency graphs, cross-repo impact, breaking-change diff, or architectural overview of .NET workspaces. Keywords: blast radius, dependency graph, impact analysis, cross-repo, call graph, endpoint map, EF Core lineage, breaking change, daemon, reindex.
日本語の概要は準備中です。原文の説明を表示しています。
Tokenizadores rápidos otimizados para pesquisa e produção. Implementação em Rust que tokeniza 1GB em menos de 20 segundos. Suporta algoritmos BPE, WordPiece e Unigram. Treine vocabulários customizados, rastreie alinhamentos, gerencie padding/truncagem. Integração perfeita com transformers. Use quando precisar de tokenização de alto desempenho ou treinamento de tokenizadores customizados.
日本語の概要は準備中です。原文の説明を表示しています。
Plataforma de observabilidade de IA de código aberto para rastreamento de LLM, avaliação e monitoramento. Use ao debugar aplicações de LLM com rastreamentos detalhados, executar avaliações em datasets ou monitorar sistemas de IA em produção com insights em tempo real.
日本語の概要は準備中です。原文の説明を表示しています。
Especialista em Langfuse - plataforma de observabilidade LLM de código aberto. Cobre rastreamento, gerenciamento de prompts, avaliação, datasets e integração com LangChain, LlamaIndex e OpenAI. Essencial para depuração, monitoramento e melhoria de aplicações LLM em produção. Use quando: langfuse, observabilidade llm, rastreamento llm, gerenciamento de prompts, avaliação llm.
日本語の概要は準備中です。原文の説明を表示しています。
Load this skill whenever the project supports light/dark mode, colour theme switching, high-contrast mode, or responds to prefers-color-scheme. Under no circumstances hard-code colours that break in alternative themes. Absolutely always test colour contrast in both light and dark themes, and respect user OS-level colour preferences via CSS media queries.
日本語の概要は準備中です。原文の説明を表示しています。
Load this skill whenever the project has personalization features, user preference controls, theme selectors, font size adjusters, motion toggles, contrast settings, or any user-configurable accessibility accommodations. Under no circumstances override or ignore user OS-level accessibility preferences without explicit user consent. Absolutely always persist user preferences, apply them immediately, and respect prefers-reduced-motion, prefers-contrast, and similar media queries.
日本語の概要は準備中です。原文の説明を表示しています。
Apply the Opquast Digital Quality Framework (245 rules, 14 categories) when building, reviewing, or auditing websites and web applications. Use for web development quality assurance, accessibility compliance, security hardening, privacy implementation, e-commerce best practices, and holistic digital quality checks.
日本語の概要は準備中です。原文の説明を表示しています。
Aggregate SAST, SCA, DAST, secrets, API, frontend, and backend security checks into one report.
日本語の概要は準備中です。原文の説明を表示しています。
Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes. Use before deploying a risky infrastructure or application change to production.
日本語の概要は準備中です。原文の説明を表示しています。
Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use at the start of an Oracle-to-PostgreSQL migration of a multi-project .NET solution.
日本語の概要は準備中です。原文の説明を表示しています。
Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
日本語の概要は準備中です。原文の説明を表示しています。
Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity.
日本語の概要は準備中です。原文の説明を表示しています。
Also use for async Python patterns, Pydantic schemas for LLM structured outputs, retry strategies for LLM calls, background AI jobs, or any service combining FastAPI and LLMs. If Python + AI backend is in scope — use this skill
日本語の概要は準備中です。原文の説明を表示しています。
Validate and implement Sinclair ZX81 video emulation in the EMULATORS repository for /mZX811, /mZX812, and /mZX813, including ULA character generation, Z80 display-file execution, M1/refresh/HALT/INT behavior, scanline timing, HSYNC/VSYNC, NMI generator and WAIT synchronization, SLOW and FAST modes, PAL/NTSC margins, collapsed display files, inverse video, high-resolution techniques, ROM-version interactions, and ULA revision boundaries. Use when Codex reviews or edits namespace ZX81 ULA, ULARegisters, MemoryVideoCode, Memory, PortManager, Screen, CPU interrupt timing, raster, ROM-specific video flow, or ZX81 video tests.
日本語の概要は準備中です。原文の説明を表示しています。
Validate and implement Sinclair ZX Spectrum 16K/48K ULA and board-level behavior in the EMULATORS repository, including PAL/NTSC raster timing, bitmap and attribute fetches, FLASH/BRIGHT/INK/PAPER rendering, CPU clock generation, lower-RAM and I/O contention, floating bus, snow effect, DRAM addressing and refresh, port FE keyboard/tape/border/sound behavior, interrupts, and ULA revision boundaries. Use when Codex reviews or edits namespace ZXSPECTRUM ULA, ULARegisters, Memory, PortManager, Screen, Sound, Datasette, Z80 bus timing, raster, contention, or ZX Spectrum hardware tests.
日本語の概要は準備中です。原文の説明を表示しています。
Parse and interpret execution debug logs generated by the EMULATORS framework, correlating each CPU instruction block with its VIC-II, CIA, SID, interrupt, stop, raster, badline, and memory-access cycles. Use for .LOG traces from EMULATORS when diagnosing cycle timing, raster effects, CPU stalls, IRQ/NMI entry, instruction/chip synchronization, or when reconstructing execution around a PC or mapped register.
日本語の概要は準備中です。原文の説明を表示しています。
Validate Commodore 64 VIC-II emulation in EMULATORS, including $D000-$D3FF register behavior, PAL/NTSC timing, raster counters, badlines, BA/AEC bus stealing, video matrix and bitmap fetches, sprites, collisions, borders, IRQs, color RAM usage, and display modes. Use when Codex reviews or edits VICII, Screen, Memory/PLA, raster, sprite, video, or cycle-level behavior for C64 classes.
日本語の概要は準備中です。原文の説明を表示しています。
Validate all JSON-LD scripts in Astro pages — check parsability, @context, @type, and Layout.astro auto-inject compatibility.
日本語の概要は準備中です。原文の説明を表示しています。
Search an index built for coding agents — GitHub issues, merged pull requests, repository READMEs, and curated documentation sites — and get back the matched passages, not just links. Use this skill whenever the question is about code: how a library, framework, or API behaves, what an error message or stack trace means, whether a bug was reported or fixed, what a function returns, what a default is, or which repos do a given thing. Triggers on "why does <library> do X", "what does this error mean", "is this a known bug", "how do I use <library>", "what's the API for", pasted stack traces, and pasted error strings. Prefer this over a general web search for programming questions — it answers from the primary source instead of a blog post about it.
日本語の概要は準備中です。原文の説明を表示しています。
吉里吉里Z (krkrz) の -replweb HTTP+SSE サーバ (WebServer クラス) にブラウザ UI を載せて、本体アプリの操作/編集/観測パネルをブラウザ側に組み込む方法論。ゲーム本体は 3D 表示やゲーム内 UI に専念させ、編集ツール・インスペクター・ダッシュボード・REPL コンソールをブラウザ (別ウィンドウ/別PC) から使う構成を作るときに読む。プラグインや TJS がサーバへエンドポイントを追加公開する手順 (WebServer.register / serveStatic / broadcast)、ハンドラ呼び出し規約 (req %[method,path,query,body,bytes] → 文字列/octet/整数/辞書)、状態同期パターン (fetch POST + SSE /sub push + throttle + 差分/tick 配信)、既存 REPL コンソール (/events + /cmd) の UI 埋め込み、ブラウザのアプリモード起動 (Chromium --app / -webui)、json.dll 連携、TJS2 由来のハマりどころ (ローカル関数クロージャ不在→クラス化 / ブロックコメントのネスト誤爆 / startup 例外の致命性 / ハンドラは必ずメインスレッド実行) を網羅。エンジン側 WebServer クラスそのものの仕様は krkrz core doc/REPL.md、REPL/Agent 駆動は skill krkrz-repl、Elements ネイティブ UI は skill elements、TJS2 言語は skill tjs2、本体 API は skill krkrz を参照。