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概要と使いどころ
Unified verification engine for Python data science projects. Covers environment checks, type checking, linting, tests, security scans, code review with DS anti-patterns, and notebook checks. Commands (/verify, /quality-gate) invoke different subsets of 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。
Write or audit technical text against ASD-STE100 Simplified Technical English so a tired, non-native reader understands it on the first pass: 20-word procedural and 25-word descriptive sentence limits, imperative steps, condition before command, one word for one meaning, and only the approved modals can/will/must. Use for READMEs, runbooks, procedures, error messages, release notes, incident reports, API guides, UI copy, and agent instructions. Trigger on: "STE", "Simplified Technical English", "ASD-STE100", "controlled language", "plain English", "make this clearer", "write for non-native readers", "prep this for translation", "cut the fluff", or any request to check text for compliance. Prefer this over general copy-editing whenever the text instructs, documents, or warns.
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 clients into long-term revenue engines. This isn't advice — it's a complete operating system with scoring models, templates, playbooks, and automation patterns that work for any B2B or B2C sub...
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You are the Crisis Management Officer — a specialized agent that helps organizations detect, respond to, contain, and recover from business crises. You provide structured frameworks for PR incident...
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 a crisis communication plan with holding statements, stakeholder messaging, media responses, and internal comms templates.
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。
Answer ads operations questions quickly for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads workflows.
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。
Manage Google Ads & Meta (Facebook) Ads from your AI coding tool. 99 MCP tools for auditing, creating, and optimizing ad accounts using natural language.
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。
Adspirer — AI-powered advertising and performance marketing agent. Manage Google Ads, Meta Ads (Facebook & Instagram), LinkedIn Ads, and TikTok Ads via natural language. 100+ tools for paid media campaign creation, live performance analysis, PPC keyword research with real CPC data, budget optimization, ad creative management, and cross-platform reporting. Create Search, PMax, display, image, video, and carousel campaigns. Analyze wasted ad spend, research keywords, optimize bids and ROAS, automate monitoring, and track CPA across channels. Perfect for digital marketing, SEM, paid social, media buying, campaign management, ad optimization, audience targeting, and marketing automation.
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。
Run natural-language data query workflows for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads reports.
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。
Your company deployed AI agents. Now what? This skill turns you into the person who actually makes them productive — the Agent 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。
Schedule and manage social media posts across Instagram, X (Twitter), Bluesky, TikTok, Threads, LinkedIn, Facebook, Pinterest, and YouTube using the AdaptlyPost API. Use when the user wants to schedule social media posts, manage social media content, upload media for social posting, list connected social accounts, check post status, cross-post content to multiple platforms, or automate their social media workflow. AdaptlyPost is a SaaS tool — no self-hosting required.
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 ads and campaign setup for policy compliance on Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.
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。
Assess ad account readiness and risk status across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and DSP/programmatic.
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。
Save any product to a universal wishlist. Converts any product URL into a one-click "save for later" link. Works with any retailer, any AI platform, zero setup.
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Activate when the user needs to interact with any website — browser automation, web scraping, screenshots, form filling, UI testing, monitoring, or building AI agents. Provides pre-verified page actions with step-by-step instructions and tested selectors.
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。
AI-native accounting for UK micro-businesses. Use when the user wants to track transactions, manage VAT, check deadlines, or do any bookkeeping for a UK limited company.
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。
Support accounting understanding from basic bookkeeping to professional practice and research.
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。
Manage bookkeeping, financial statements, and tax planning with sound accounting practices.
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Personal knowledge base for capturing and retrieving information about people, places, restaurants, games, tech, events, media, ideas, and organizations. Use when: user mentions a person, place, restaurant, landmark, game, device, event, book/show, idea, or company. Trigger phrases: "remember", "note that", "met this person", "visited", "played", "what do I know about", etc. Brain entries take precedence over daily logs for named entities.
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。
Automatically organize invoices and receipts for tax preparation by extracting key information, renaming files consistently, and sorting into logical folders. Transform chaotic bookkeeping into tax-ready records.
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Extract and analyze competitor ads from ad libraries (Facebook, LinkedIn, etc.) to understand messaging strategies, pain points highlighted, and creative approaches that resonate with audiences.
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。
Detect cell-ordering / enchainement problems in Jupyter notebooks (canonical-order slippage, misplaced or forgotten cells). Arguments: [target] [--severity HIGH|MED|LOW] [--json]
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Reference for MCP Jupyter tools (kernel management, cell execution, Papermill). Use when executing notebooks, managing kernels, or running code interactively via MCP.
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。
Security launch audit for a public web app BEFORE you ship or hand it to a client — "vibe coders are getting sued", systematized. An executable pipeline: classify (static / full-stack / AI) → run sections (secrets+supply-chain, DB, auth, infra+headers, legal, LLM/injection) orchestrating deterministic tools + manual checks → GO/NO-GO report. Adapted from Prajwal Tomar's playbook, extended with prompt-injection / supply-chain / secret-history / dependency-CVE layers. NOT the same as pre-push (that = clean push; this = is the product itself safe to launch). Triggers — "security checklist for the site", "audit before launch", "is the site safe", "check before handing to client".
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。