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概要と使いどころ
Temporal pattern detection and forecasting. Use when analyzing trends over time, detecting seasonality, identifying anomalies in time series, or building simple forecasting models for planning.
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。
Delegate broad computer-use tasks to ARK CUA for Volcengine AgentPlan users through an authenticated cloud desktop, and synchronize explicit credentials to a caller-owned CUA through Credential Agent. Use for web or desktop-app operation, file workflows, reusable task contexts, artifacts, temporary CUA App URLs, desktop shutdown/start/recovery, inspection, or exact browser, environment, secret, Credential Set, and managed-file credential setup/sync/status/reset. Do not use when local reasoning or a purpose-built local/API tool can complete the request more directly.
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。
行业数据查询与分析工具。接入多种合规公开数据源，支持精确匹配、模糊搜索、聚合统计、分组排序等查询方式。当前已覆盖工商企业基本信息、产业链节点区域指标、产业链企业信息、A股相关信息以及其他等大部分场景。完整的可用数据源清单及其字段结构需通过 describe_datasource 接口动态获取。 当用户提出任何涉及企业、公司、行业或产业链的数据查询意图时，都应触发此 Skill。典型场景包括但不限于： - 查询某家公司的工商注册信息（名称、法人、注册资本、成立日期、经营范围、股东、融资历史等） - 查询 A 股上市公司基本面、证券信息、F10 数据、IPO 信息、分红派息、高管信息 - 查询某条产业链的结构，包括节点企业、区域分布、各类标签企业统计（龙头、高新、专精特新、独角兽、小巨人等） - 查询产业链区域指标（营收、资产、利润率、ROE、知识产权、招投标数据等） - 按地域、行业、企业标签等维度做聚合统计或分组分析 - 用户提到"查一下某某公司"、"帮我看看这家企业"、"xx产业有哪些龙头"等任何公开数据查询意图 即使无法确定所需数据是否已覆盖，也应先调用数据源列表接口探查，不可直接拒绝或猜测。数据来自合规公开渠道，结果仅供参考，不构成决策依据。
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 with every WinDbg plugin investigation to apply evidence-first reasoning, confidence calibration, contrarian review, structured reporting, and deterministic validation. Not a bug-family-specific triage 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。
Use when you need to write or improve integration tests for Micronaut — @MicronautTest, HttpClient, TestPropertyProvider with Testcontainers, transactional test mode where appropriate, and Maven Surefire/Failsafe splits for *Test, *Tests, *IT, and *AT. This should trigger for requests such as Add Micronaut integration tests with Testcontainers; Wire dynamic datasource or broker URLs for @MicronautTest; Write @MicronautTest integration tests with Testcontainers; Configure replacement beans for Micronaut integration tests; Review Micronaut integration test lifecycle and resources. Part of Plinth Toolkit
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 platform-specific social post variants (Twitter/X, LinkedIn, Reddit) from one source input. Works with or without Node.js script. Includes platform reasoning, quality review, and guardrails against cross-posting spam.
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。
Builds a launch plan, launch story and press/distribution plan, then drafts the pitch emails and announcement copy. Use when you say 'launch plan', 'how do I get press', 'pitch a reporter', 'announce funding', 'go-to-market for a feature', 'Product Hunt', 'press release', 'launch messaging' or 'we shipped and nobody noticed'. Draws on 394 insights from 124 Lenny's Podcast guests, led by Emilie Gerber, Lulu Cheng Meservey and Jason Feifer.
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。
Trigger for: Other Transaction or OT should-cost, cost estimate, cost-share analysis, milestone pricing, funding profile, proposed-price comparison, prototype price analysis, research OT budget, production follow-on OT estimate, or OT price-reasonableness support under 10 U.S.C. 4021 or 4022. Build auditable milestone-based .xlsx workbooks using BLS OEWS wages, CALC+ positioning, GSA Per Diem, materials, cost sharing, and agreement-specific fees. Use for pre-solicitation budgets and proposal comparisons. Do NOT use for FAR-based IGCEs, OT project descriptions, grants, or an Agreements Officer's determination. Requires the bls-oews, gsa-calc, and, when travel applies, gsa-perdiem MCP servers.
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。
Review a Chinese mathematical-modeling problem-analysis section against the original problem, checking task classification, data reasoning, cross-problem linkage, model-choice rationale, validation planning, chapter boundaries, and the overall solution framework. Use for diagnosis, not automatic full rewriting.
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。
Enhancement-overlay decision protocol for STREAMING the output of long-running LLM / agent runs from the *backend*, not just wiring a typing animation in the UI. Activates when a coder agent must stream final tokens to a chat client, surface intermediate agent steps (which tool, which node, partial reasoning), emit custom tool-progress events, choose a transport (SSE vs WebSocket), or decide what to do when the client disconnects mid-stream. The langchain / langgraph skills mention stream modes but stop at "you can stream"; this skill encodes *what to stream, over what transport, and how to fail safely*.
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。
Analyze disk images, file systems, and memory captures for digital evidence recovery in forensic investigations and CTF challenges. Use when the user mentions 'disk forensics,' 'forensic analysis,' 'disk image,' 'file carving,' 'deleted files,' 'evidence recovery,' 'timeline analysis,' 'memory forensics,' 'volatility,' 'autopsy,' 'sleuthkit,' 'plaso,' 'log2timeline,' 'artifact analysis,' 'chain of custody,' or needs to examine a forensic image.
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。
Draft, confirm, and post replies to GitHub PR review threads. Handles per-category reply formatting, re-fetches thread resolution state so auto-resolved threads are skipped, posts via GraphQL, and resolves threads whose entry carries a resolution reason. Use when the user asks to "reply to PR threads", "post PR thread replies", or "draft PR reply 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。
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
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。
Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.
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。
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR screening design, single-cell RNA-seq analysis, ADMET prediction, GWAS interpretation, rare disease diagnosis, or lab protocol optimization. Leverages LLM reasoning with code execution and integrated biomedical databases.
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。
Typography pass covering font choice, modular scale, tracking, leading, weight hierarchy, and micro-typography details. Use when fonts feel generic (default Inter with no reason), the scale is ad hoc, hierarchy is flat, or the user says "fix the typography" / "the text doesn't feel right". Invoke when the user asks for typeset on their UI, or mentions 'typeset' alongside design / UI / frontend work.
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。
Medical image segmentation with nnU-Net's self-configuring framework — auto-selects architecture, preprocessing, training for any modality. CT, MRI, microscopy, ultrasound in 2D, 3D full-res, 3D low-res, cascade. Pipeline: convert → plan/preprocess → train (5-fold CV) → best config → predict → ensemble. Use when classical segmentation fails and annotated data exists.
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。
Pure Python DICOM for medical imaging (CT, MRI, X-ray, ultrasound). Read/write DICOM, pixels as NumPy, edit tags, windowing (VOI LUT), PHI anonymization, build DICOM, series→3D volumes. Use histolab for WSI pathology; nibabel for NIfTI.
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。
Unity Catalog governance, access control, and observability. Use to grant or revoke access (GRANT/REVOKE), reason about the privilege model and ownership, set up row-level security and column masks, create external locations and storage credentials, define catalogs/schemas/tables/volumes, answer "who can read this table", and query system tables (audit, lineage, billing) or work with volume files in /Volumes/.
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。
Continue the current local Codex conversation and coding task in an AgentKit Studio cloud Codex Sandbox using a Studio URL and short one-time pairing code. Use when the user asks to hand off, migrate, or continue a local repository in Studio, especially when a prompt contains a Studio address and pairing code. Export the complete user-visible user and assistant message history from every prior turn, including interrupted turns and progress commentary, create a temporary Studio Sandbox, restore tracked and non-ignored working-tree files plus Git metadata, inject that visible history into the cloud Thread, transfer GitHub CLI authentication separately when needed, and send one final continuation message; never copy system or developer prompts, reasoning, tool logs, SQLite state, global configuration, local skills, or SSH private keys.
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。
Turn sales history and current stock counts into reorder points, order quantities, and a this-week purchase list -- so a product business stops stocking out of winners and stops burying cash in losers. Handles seasonality, supplier lead times, and the dead-stock cleanup.
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 promo videos for local businesses in HyperFrames -- the new-menu drop, the seasonal offer, the event announcement, the "we're hiring" post, the Google Business Profile clip. Restaurant, salon, gym, trades: 15-30 seconds, brand-clean, captioned, sized for Instagram, Facebook, and the profile.
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。
Applies TRIZ cross-domain analogical reasoning to find solutions from adjacent fields. Use when stuck on a problem and needing inventive perspectives.
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。
Applies anti-sycophancy checklist to override agreement bias. Use when analyzing contested claims or avoiding socially convenient but inaccurate conclusions.
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。