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概要と使いどころ
Malý task bez kontraktu — 1–3 akceptační kritéria v chatu, TDD v aktuální session, risk-based review, vždy branch + draft PR a explain dokument. Použij pro drobné fixy a malé featury; větší nebo rizikové tasky eskaluje na /wf.
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。
Canonical legend for expanding a `less than KEY_PROTOCOL_VALUEgreater than ` placeholder into a shell substitution based on the key-context artifact's `source` field, plus the mandatory `pnpm --silent` rule that keeps the resolved key out of logs and the display-the-key-name-before-CONFIRM disclosure. Referenced by every warp deploy/update skill that passes a `--key.protocol` flag.
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。
Build applications with Univer Office SDK, covering the Web SDK (browser Office editors, headless Sheets and Docs in Node), Server SDK (self-hosted OT collaboration, storage, auth, Office import/export), AI SDK (agent-operated Office CLIs, reviewable Worktrees), and Binding SDK (plain HTML pages bound to live Sheet data). Use when starting or designing any Univer-based app or choosing Univer packages, including when the user describes a spreadsheet, document, collaboration, or AI-office need without naming a Univer package.
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。
EU Insurance Adviser specializing in IDD compliance for life, health, property, and insurance-based investment products (IBIPs). Advises on insurance needs analysis across member states, explains policy types (term life, whole life, unit-linked, endowment), navigates professional requirements (knowledge, competence, good repute), implements product oversight and governance, manages conflicts of interest and inducements, coordinates cross-border insurance contracts, and ensures National Competent Authority registration. Use for insurance distribution, IBIP suitability assessments, or IDD compliance implementation.
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。
Personal finance assistant for budgeting, savings goals, investment tracking, debt optimization, tax preparation, insurance review, net worth tracking, and financial scenario modeling. Supports multi-currency, bank statement import (CSV/MT940/OFX), and locale-based tax rules. Use for any personal finance question: budget planning, expense tracking, portfolio allocation, FIRE calculations, debt payoff strategies, mortgage comparisons, tax deductions, insurance coverage, retirement planning, and life events with financial impact such as marriage, buying a house, changing jobs, having a baby, or going freelance.
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。
Guide founders through operational fundamentals — entity setup, co-founder agreements, IP assignment, banking, bookkeeping, taxes, insurance, and contractor agreements. Phase-based interactive guided process.
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。
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards. USE THIS SKILL WHEN: - You need to review or audit actuarial models (reserving, pricing, capital) - Someone asks about loss triangle analysis or reserve adequacy - You are evaluating IBNR calculations, chain ladder methods, or Bornhuetter-Ferguson - A project involves insurance pricing, GLM rating models, or ratemaking - You need to assess Solvency II SCR calculations or RBC compliance - Someone mentions actuarial opinions, ASOP compliance, or SOA standards - You are reviewing stochastic models, ESG configurations, or DFA frameworks - A codebase uses actuarial libraries (chainladder, lifetables, ChainLadder R package) TRIGGER PHRASES: "actuarial", "loss reserving", "IBNR", "chain ladder", "premium pricing", "mortality table", "Solvency II", "capital adequacy", "ratemaking", "GLM pricing", "risk-based capital", "reserve analysis", "actuarial opinion"
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。
Expert guide for WebXR spatial computing, Web-based Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR) using Babylon.js and Three.js. Covers Apple Vision Pro, Meta Quest 3, hand tracking, and hit-testing / Panduan ahli WebXR spatial computing (VR/AR/MR).
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。
Expert guide for modern web-based game development. Covers PlayCanvas, Babylon.js Havok, Three.js/R3F Rapier & Jolt Physics, Fixed-Timestep Accumulators, Zero-GC Pooling, ECS (bitECS/Miniplex), Spatial Audio (HRTF), and WebTransport networking / Panduan ahli pengembangan game web modern dan efisien.
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。
Expert guide for AI FinOps, dynamic model routing (LiteLLM, Portkey, RouteLLM), cost optimization, budget enforcement, semantic caching, and latency-based fallback architectures / Panduan ahli untuk AI FinOps, routing model dinamis, optimasi biaya, penegakan anggaran, semantic caching, dan arsitektur fallback berbasis latensi.
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。
Expert guide for designing and orchestrating multi-agent systems, agent swarms, 2026 Anthropic agentic design patterns, graph-based workflows (LangGraph, OpenAI Agents SDK, Google ADK, Mastra.ai), shared state memory, and human-in-the-loop guardrails in English and Indonesian.
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。
Expert guide for Biome (Rust-based linter + formatter), ESLint/Prettier migration, and code quality tooling / Panduan ahli Biome (linter + formatter berbasis Rust), migrasi dari ESLint/Prettier, dan tooling kualitas kode.
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。
Signal-based prospecting — read target companies' public websites for buying signals (ads running, incumbent agency, tech stack, hiring, stale content, missing booking) with evidence URLs, then build a cohort you can explain. Use when asked to "find buying signals", "profile these companies", "which accounts should we target", "build a target list from these domains", or "what changed at these accounts".
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。
Generates Minimal API endpoints following Microsoft's recommended approach. Creates fast, testable HTTP APIs with minimal code using MapGet/MapPost/MapPut/MapDelete. Preferred over controller-based APIs for new projects.
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。
Local SEO audit — assess a location-based business's Google Business Profile against local competitors, check Maps and local-pack visibility for its main queries, and recommend the few fixes that win nearby searches. Use when asked to "improve our local SEO", "why don't we show up on Google Maps", "audit our Google Business Profile", "rank in the local pack", or "local search for [city]".
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。
MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action. Use when asked to "qualify this deal", "run MEDDPICC on this opportunity", "should we pursue this", or "is this deal 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。
Add a calculated, formula-based column to a dataframe via the datagrok_exec tool. Use whenever the user asks to compute, derive, add, or create a new column from existing columns — LipE, ratios, log/round, heavy atom count, any expression in the Datagrok formula DSL. Replaces hand-written addNewFloat/addNewInt + for-loop with a single formula-attached column that recomputes when source columns change.
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。
Create info panels that appear in the context panel based on semantic types
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。
Ratio-based type scale where every size relates to the others. Use when defining font sizes or type tokens, or when typography feels arbitrary.
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。
The philosophy and practical benefits of agent fungibility in multi-agent software development. Why homogeneous, interchangeable agents outperform specialized role-based systems at scale.
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。
Searches and discovers academic papers across multiple sources (Semantic Scholar, arXiv, Tavily, Exa, Gemini deep research, AMiner, Google Scholar) with adaptive engine selection based on query type. Returns ranked, deduplicated results with metadata (authors, venue, year, citations, abstract, PDF link). Use when the user asks to find papers / literature / publications / preprints / references on a topic, search for related work, look up a specific paper by title or DOI or arXiv ID, find papers by an author, find recent SOTA / state-of-the-art work, survey a research area, or run a deep / comprehensive literature search with synthesis.
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。
Batch download academic paper full-text (PDF/XML) from a list of DOIs. Handles 25 DOI prefixes across 19 publisher families via three layered routes: (1) publisher TDM APIs requiring institutional subscription (Elsevier ScienceDirect, Wiley Online, Springer Nature), (2) Open Access sources (Crossref, Unpaywall, OpenAlex), and (3) a browser-based fallback for paywalled publishers without TDM access (ACS, RSC, IEEE, AIP, IOP, APS, Annual Reviews, T&F, Chinese journals). Browser fallback offers two routes — Route A drives the user's logged-in Chrome via the OpenClaw `browser` tool with `profile="user"` (best for interactive sessions), Route B uses the standalone `auto-paper-harvester` CLI with its built-in Playwright (best for unattended bulk runs). Use when the user wants to harvest, scrape, fetch, or bulk-download papers from a DOI list, savedrecs export, or Excel; or wants to fill missing full-text PDFs for an existing literature collection. Triggers on phrases like "批量下载文献", "下载全文", "harvest papers", "scrape full text", "TDM API", "下载 Elsevier 全文", "Wiley 批量下载", "下载 PDF".
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。
Provides monitoring and observability best practices covering the three pillars (logs, metrics, traces), OpenTelemetry instrumentation, Prometheus/Grafana dashboards, SLO-based alerting, and APM strategies. Use when setting up monitoring, observability, prometheus, grafana, opentelemetry, alerting, tracing, logging, metrics, dashboards, SLOs, or APM.
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。
Piaget's constructivism, schema theory, and cognitive development as practical tools for curriculum design. Covers assimilation, accommodation, equilibration, the four stages (sensorimotor, preoperational, concrete operational, formal operational), conservation tasks, schema-based reading and problem-solving, and the distinction between developmental readiness and domain-specific expertise. Use when designing age-appropriate material, diagnosing why a learner is not assimilating new content, or building on prior knowledge.
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。