Write and restore session state — session start, session end, memory write, handoff, continuation. Enforces what gets persisted so the next session resumes instead of restarting.
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概要と使いどころ
Write and restore session state — session start, session end, memory write, handoff, continuation. Enforces what gets persisted so the next session resumes instead of restarting.
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 and ship software — code, implement, develop, API, backend, frontend, deploy, infrastructure, CI/CD, databases, cloud, mobile, AI/ML. The CTO office's broadest execution domain, applied with TDD discipline.
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 opening hooks for content — "give me hooks for", "write hooks for this topic", "10 opening lines for". Returns 10 distinct hooks across different psychological angles using the named 2-Second Hook framework.
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Verify a factual claim — "check this claim", "verify this", "is this true", "how solid is this". Finds primary sources and rates the evidence as supported, mixed, unsupported or unverifiable, with citations.
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 video and image prompt engineering — video generation, image generation, product video, social media video, cinematic direction, animation, Seedance, Higgsfield, GPT-Image-2. Applies 15 Maxim-authored cinematic styles and the atomic prompt schema.
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Test and assure quality — test plan, QA, coverage, unit test, integration test, end-to-end, performance, benchmark, regression. Applies TDD and FIRST principles for the CTO office's tester.
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Maxim Brand Intelligence — brand identity, voice architecture, visual identity systems, messaging frameworks, brand consistency enforcement. Activate for brand strategy, brand audits, brand guidelines, tone of voice, asset compliance, color palette, typography specs. Powered by Maxim behavioral science layer.
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Diagnose why a social post performed — "analyze this post", "why did this post flop", "why did this post do well", "what should I change". Scores hook strength, clarity, tension and call to action.
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Learn and apply how the operator works — operator preference, working style, communication preference, "remember my preference", "I prefer", "don't do that again", "that's not how I work". Read at session start, updated at session end.
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。
Maxim Master Design Intelligence — full-spectrum UI/UX orchestration. Activates all design sub-domain skills in parallel. Use when a task spans multiple design domains simultaneously: product design strategy, interaction design, information architecture, usability heuristics, design critique, cross-platform consistency, design leadership. The master conductor of all Maxim design agents.
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Triage an email inbox — "triage my inbox", "sort my inbox", "what emails need a reply", "clear my inbox". Governs the Gmail or Workspace connector you already have rather than shipping its own 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。
Build a client invoice — "make an invoice for", "create an invoice", "bill this client for". Parses plain text into line items, computes subtotal, tax and total with the math sanity-checked.
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Drive a headed browser to a specific state in a web app (a feature, flow, screen, or bug repro) and leave the window open for the user to explore. Use when the user says "show me X", "take me to that screen", "set up the repro", or wants to try an app state firsthand.
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。
Azure DevOps pull requests, for repos whose git remote is on dev.azure.com or *.visualstudio.com. Covers comment threads, which `az repos pr` cannot read or post. Use to create a PR for the current branch, check out, list or complete PRs, post code comments on a PR, reply to threads, and assess whether review feedback was addressed. Trigger on "create PR", "checkout PR 123", "list PRs", "complete PR", "comment on the PR", "post these review findings", "check PR feedback", "/dev-azdo:pr".
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Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
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Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (GLOSSARY.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.
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。
Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library".
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Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment.
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Get best practices for JUnit 5 unit testing, including data-driven 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。
Build self-serve acquisition and expansion motions. Use when deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when product complexity demands human touch. Includes the parallel test where sales-led won 10x on revenue.
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Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.
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Set up eval-based QA for Python LLM applications: instrument the app, build golden datasets, write and run eval tests, and iterate on failures. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.
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。
Get best practices for NUnit unit testing, including data-driven 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。
Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven 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。