「unit」の検索結果

Map every touchpoint from first click to loyal advocate. Identify drop-off points, emotional peaks, and automation opportunities across your entire customer lifecycle.

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 cloud infrastructure spend across AWS, Azure, and GCP. Identify waste, rightsizing opportunities, and reserved instance savings.

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。

Complete construction estimating and cost management system. Use when preparing project estimates, bid proposals, cost breakdowns, value engineering, change order management, or construction budget tracking. Covers residential, commercial, and infrastructure projects. Trigger on 'estimate', 'construction cost', 'bid', 'takeoff', 'cost breakdown', 'change order', 'value engineering', 'construction budget', 'unit pricing', 'RSMeans'.

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。

Discover which AI prompts and topics matter for a brand's Answer Engine Optimization (AEO) using only free tools. Crawls a website, analyzes the brand's positioning, generates prioritized prompts people ask AI assistants, and audits existing content coverage — all without paid APIs. Use when a user wants to: find what questions people ask AI about their industry, discover AEO opportunities, research prompts for content creation, audit a site's AI visibility, or build an AEO content strategy. No API keys required — uses web_fetch, web_search (free tier), and LLM reasoning only.

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。

Track AI visibility — measure whether a brand is mentioned and cited by AI assistants (Gemini, ChatGPT, Perplexity) for target prompts. Runs scans, tracks mention/citation rates over time, detects trends, and identifies opportunities. Uses Gemini API free tier (with grounding) as primary method, web search as fallback. Use when a user wants to: check if AI models mention their brand, track AI citation changes over time, measure AEO content effectiveness, monitor competitor AI visibility, or audit their brand's presence in AI-generated answers. Pairs with aeo-prompt-research-free (identifies prompts) and aeo-content-free (creates/refreshes content). This skill closes the loop by measuring results.

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-powered Reddit seeding agent for founders. Analyzes a product spec, maps relevant subreddits, finds real threads where target users need help, drafts personalized replies and DMs, and posts approved outreach via Reddit API. Use when someone wants to find and engage their first users on Reddit, seed a product launch, or do community-led growth without a budget.

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 10x product opportunities and high-leverage improvements. Use when user wants strategic product thinking, mentions '10x', wants to find high-impact features, or says 'what would make this 10x better', 'product strategy', or 'what should we build next'.

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 recent Codex chat history to identify coding patterns, development gaps, and learning opportunities. Curates personalized learning resources and delivers growth reports to Slack.

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 unit and integration tests for Angular v20+ applications using Vitest or Jasmine with TestBed and modern testing patterns. Use for testing components with signals, OnPush change detection, services with inject(), and HTTP interactions. Triggers on test creation, testing signal-based components, mocking dependencies, or setting up test infrastructure. Don't use for E2E testing with Cypress or Playwright, or for testing non-Angular JavaScript/TypeScript code.

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。

Product Discovery through an 18-task methodology in 6 blocks — from market analysis to an investor-ready financial plan. Use when someone wants to run Product Discovery, validate a startup, assess a market hypothesis, prepare for an investment round, or raises an adjacent topic — idea validation, niche sizing, competitor teardown, product-market fit, pitch preparation, startup unit economics, geographic expansion into a new country, go-to-market for SEA / Asia / MENA. People rarely name PD explicitly; they say 'is there a market for this', 'assess my idea', 'I need a deck for an angel', 'we are entering Thailand/Singapore/UAE, how do we size it'. Use the skill in those cases too. Three modes: Light (~45 min, idea stage), Full (~2-3 h, MVP with customers), Geographic Expansion (~2 h, product entering a new geography). Produces 3-4 artifacts in /mnt/user-data/outputs/: one-pager.pptx, financial-plan.xlsx, presentation.pptx, optionally interview-guide.docx.

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 this skill when authoring or debugging GitLab CI/CD pipelines (.gitlab-ci.yml) — e.g. "add a CI pipeline for this Drupal project", "run phpcs/phpstan/phpunit in GitLab CI", "deploy with drush from a pipeline", "why is my job not running", "cache composer dependencies", or anything involving stages, rules, artifacts, environments, or GitLab runners.

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 this skill when authoring or debugging GitHub Actions workflows (.github/workflows/*.yml) — e.g. "add CI for this Drupal project on GitHub", "run phpcs/phpstan/phpunit on pull requests", "cache composer dependencies", "deploy over SSH when main is pushed", "why didn't my workflow trigger", or anything involving jobs, matrices, runners, secrets, or reusable 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。

Refactor code units whose size or mixed responsibilities impede understanding, testing, or change. Use when recent work makes a function, class, or module materially harder to reason about.

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。

Route testing tasks to the right library skill. Covers unit, integration, e2e, coverage, and test quality.

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。

MindIE-SD Python 代码格式与 lint 规则。当编写、格式化、lint 检查或审查 MindIE-SD 项目的 Python 代码时使用此 skill。 即使用户只提到"提个MR"或"代码好像有 lint 问题"而未明确说格式化，也应触发；Markdown 格式问题见 markdown-lint，提交/PR 规范见 mindie-sd-community-governance。 通常由 dev-workflow 在编码阶段指引加载。

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。

Handle MindIE-SD documentation, governance, contributor workflow, commit or PR conventions, history cleanup, template changes, and version-policy updates with minimal context, fixed review steps, and deterministic output. Use this skill whenever the task touches docs/ 或文档站点内容与配置（Sphinx / Read the Docs / conf.py / index.md / 目录导航 / 首页）、中英文双语配套、治理文档、贡献流程说明、PR/MR 模板或标题正文规范、提交历史整理、版本策略与发布规则。即使用户只说「改个文档」「双语要同步」「commit message 怎么写」「PR 模板加一项」「把提交压一下」「rebase 冲突怎么理」而未提治理规范，也应触发。不负责通用工程实现与仓库默认工作流定义（后者以 AGENTS.md 为准）；Python 格式见 code-standards，Markdown 格式见 markdown-lint。

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 IRC 664–compliant Charitable Remainder Trust agreements (CRAT/CRUT), covering payout math, remainder qualification, trustee powers, and tax compliance. Use when drafting a CRT, CRAT, CRUT, unitrust, annuity trust, or charitable remainder planning document, or when ensuring IRC 664 compliance.

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 a Motion for Bail Reduction for criminal defense pretrial proceedings. Argues current bail is excessive under the Eighth Amendment using defendant financial circumstances, community ties, and flight-risk factors adapted to jurisdictional bail standards. Use when seeking bail modification, bail reduction, pretrial release, or excessive bail challenges.

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。

Produces structured asset and liability summaries from financial documents for legal proceedings. Extracts valuations, ownership classifications, and encumbrances, then outputs net-worth overview, categorized schedules, disputed items, and documentation gaps. Use when preparing financial summaries for divorce/dissolution, estate planning, bankruptcy, business valuation, or settlement negotiations. Trigger on: net worth summary, marital estate, balance sheet, asset schedule, liability schedule, community/separate property.

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 writing tests, running validation scripts, or (in TDD mode) enforcing red-green-refactor cycle. Activates during Phase 2 (Test) and Phase 3 (Build). NOT for coverage gap mapping (see mk:nyquist); NOT for sprint contract negotiation (see mk:sprint-contract).

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 surfacing architectural friction and proposing deepening refactors (shallow modules → deep modules) for testability and AI-navigability. Triggers on "improve architecture", "find deepening opportunities", "where is this codebase shallow", "architecture review". Emits structured candidates + precise patches; delegates ALL rendering to mk:preview. NOT for diagram/HTML rendering (see mk:preview); NOT for trade-off deliberation (see mk:party); NOT for plan critique (see mk:plan-ceo-review).

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。

DraftForge test infrastructure for writing backend unit tests, Playwright E2E tests, and managing test data population. This skill should be used when writing new tests, adding test fixtures, creating populate functions for new features, adding Playwright E2E specs, using login/auth fixtures, creating test users/orgs/leagues/tournaments, or understanding the test data architecture. Covers backend Django tests via Docker, Playwright config (projects, workers, sharding), test auth endpoints that expose backend login to frontend, and feature-isolated test data 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。

Generate release-unit development plans from professor-triage completed (verify-done) issues, grouping by priority and size

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。

Prepare a traceable local Fusion engineering review draft with source identities, artifacts and unresolved assurance gates. Not for sending, publication or release approval.

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。