4,002 件 ・ 関連度順
概要と使いどころ
Reviews Deep Agents code for bugs, anti-patterns, and improvements. Use when reviewing code that uses create_deep_agent, backends, subagents, middleware, or human-in-the-loop patterns. Catches common configuration and usage mistakes.
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。
Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.
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。
Redesign Stacktape's marketing website or Console through visual exploration, independent design critique, and browser verification. Use for substantial page, flow, or visual-system design work, including agent-led redesigns.
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。
Deutsche Texte natürlich, sachlich und leserorientiert schreiben oder überarbeiten. Nutze den Skill für Artikel, E-Mails, Berichte und Social-Media-Texte sowie zum Vermenschlichen vorhandener Entwürfe. Erhält Fakten und persönliche Stimme, reduziert schematische Sprachmuster und unterscheidet Stilprüfung, KI-Detektoren, Textwasserzeichen und C2PA-Herkunftskennzeichen. Keine Garantie für Nichterkennbarkeit oder Wasserzeichenfreiheit.
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。
Direct substantial repository work across Claude Code, Codex CLI, or Grok Build with a concise brief, parallel agents, evidence-based completion, and optional cross-CLI continuation. Use for project onboarding, multi-step implementation, agent coordination, verification planning, low-interruption setup, or deciding how another CLI should take over. Do not use it as a permission gate or mandatory workflow.
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。
A helpful skill that does many things
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。
A simple skill that helps with greeting messages
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。
Entity-aware code change analysis using the pi-sem tools. Use when the user asks what changed, wants blast radius or affected tests, needs focused context for a function/class, wants review help on a commit/branch/PR, or asks to compare semantic diff with raw git diff. Prefer sem_context and sem_impact; use sem_diff selectively for summaries and reviews.
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。
Act as the team's Scrum Master of record, or copilot to a human one: plan sprints, run daily pulses, close sprints, prepare and follow up retrospectives, track and escalate impediments, and detect process anti-patterns across sprint history. Use whenever the user asks for Scrum or agile process help, in any language — "plan the sprint", "chuẩn bị retro", "how is the sprint going", "our velocity dropped", "track this blocker", "the same problem keeps coming back" — even without the word "Scrum", and whenever `_project/scrum-master/` exists and the question touches sprints, ceremonies, impediments, or team process health. Not for delivery dates and budget (project-manager) or deciding what to build (product-manager).
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 insurance claim adjuster with 15+ years in property/casualty. Specializes in coverage analysis, damage quantification (RC/ACV), liability determination, fraud detection, and settlement negotiation. Use when: insurance claim, damage assessment, coverage dispute, liability analysis, fraud investigation, claim settlement.
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。
Drafts and revises U.S. environmental indemnity agreements for real estate lending and acquisition transactions, allocating contamination and environmental-law liability to protect lenders, secured parties, or buyers. Covers indemnity scope, reps/warranties, covenants, remediation rights, escrows, insurance, survival, and assignment aligned to loan or acquisition documents. Use when drafting an environmental indemnity agreement, environmental liability allocation, lender environmental rider, or Phase I/II ESA-driven risk terms.
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。
当用户需要进行保险欺诈风险筛查时使用此 skill。适用于投保欺诈识别、理赔欺诈预警、可疑行为分析等场景。
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。
Query the Bear EHR database using the semantic layer. Use when asked about clients, billing, appointments, insurance, clinical data, procedures, scheduling, programs, staff, vitals, diagnoses, revenue, claims, or any data question about the Bear application.
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。
Drafts U.S. commercial real estate access and indemnity (right-of-entry) agreements for pre-closing due diligence. Covers license grants, non-invasive vs invasive testing gates, insurance/endorsement requirements, indemnity with discovery carve-outs, restoration and lien remedies, confidentiality, and anti-indemnity guardrails. Trigger: access agreement, right of entry, due diligence access, Phase I/II, invasive testing, pre-PSA site inspection.
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 or modify OpenClaw application UI using canonical semantic tokens, themes, shared CSS foundations, consumer adapters, and established local primitives. Use for product interfaces, component styling, theme work, or design-token integration.
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。
Compatibility alias for existing OpenClaw installations that now applies Carapace semantic tokens, themes, shared CSS foundations, consumer adapters, and established local primitives.
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 asked to define a design token system, create tokens, document tokens, set up CSS custom properties, build a Tailwind token config, establish a spacing scale, define color semantics, or bridge design decisions to code. Examples: "set up design tokens", "define our token system", "create CSS variables for the design system", "document our color tokens", "establish a spacing 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。
Elite frontend design taste for building, reviewing, and polishing web interfaces. Use whenever the user wants to design, redesign, shape, critique, audit, polish, or improve any UI (landing pages, portfolios, dashboards, product UI, components, forms, onboarding, empty states) or asks to make something look better / premium / modern, fix the styling, add or fix animations, or make a design feel less generic ("AI slop"). Covers typography, color, spacing, layout, visual hierarchy, motion, micro-interactions, component states, accessibility, responsive behavior, UX copy, and anti-pattern detection.
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 WebGPU and WebGL 3D graphics in the browser using Three.js (WebGPURenderer + TSL), Babylon.js, PlayCanvas, React Three Fiber (R3F), and 3Dviz spatial reasoning — covers object craft across 3 scales, surface continuity at joins, physical interaction envelopes, grounded scientific visualization, KTX2/Meshopt optimization, and 3D visual anti-slop / Panduan ahli grafis 3D web, WebGPU modern, dan penalaran spasial 3Dviz.
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 Ultra-Low Latency Conversational Voice AI (<300ms), WebRTC bidirectional streaming, OpenAI Realtime API, Gemini Multimodal Live Audio, LiveKit Agents, and Semantic VAD / Panduan ahli AI suara percakapan real-time berlatensi ultra-rendah.
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-level skill for Python programming (Python 3.13/3.14+). Covers type safety, generic syntax (PEP 695), async/await TaskGroups, FastAPI 0.115+, Pydantic v2, uv package manager, Ruff, and pytest 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 autonomous web agents (Browser-Use, Stagehand v0.4+), hardcore anti-bot evasion (Playwright Stealth, WebGL masking), and Vision LLM visual QA / Panduan ahli agen web otonom, penghindaran deteksi bot, dan QA visual berbasis Vision 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。
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。
Find, describe, add, remove, rename, clone, or set metadata on columns of a Datagrok DataFrame via the datagrok_exec tool. Use whenever the user asks to locate "the X column", summarize a column, add a typed/empty/values-filled/virtual column, set semantic type / units / format / friendly name, apply linear or categorical or conditional color coding, drop or rename columns, or copy a DataFrame. Covers everything in DataFrame.columns and Column.meta — but not row filtering/selection (datagrok-filtering, datagrok-selection) and not formula-only columns (datagrok-calc-column).
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。