「wants」の検索結果

Use this skill when the user wants a .pptx with smooth cross-slide animation — PowerPoint Morph transitions, Keynote-style continuous motion, shapes that grow / move / rotate as the slide advances. Trigger on: 'morph', 'morph transition', 'smooth transition', 'continuous animation across slides', 'Keynote-style transition', 'animated slide sequence', 'shape continuity across slides'. Output is a single .pptx. This skill is a scene layer on top of officecli-pptx — inherits every pptx v2 rule (visual floor, grid, palettes, connector canon, Delivery Gate 1–5a). DO NOT invoke for a generic deck, pitch deck, or board review without cross-slide motion — route those to officecli-pptx base or officecli-pitch-deck.

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Use this skill when the user wants to build a financial model — 3-statement model, DCF valuation, LBO, SaaS unit economics, sensitivity / scenario analysis, debt schedule, or fundraising projections — in Excel. Trigger on: 'financial model', '3-statement model', 'P&L + BS + CF', 'DCF', 'WACC', 'NPV', 'terminal value', 'LBO', 'debt schedule', 'cash sweep', 'MOIC', 'IRR / XIRR', 'sensitivity table', 'scenario analysis', 'ARR model', 'unit economics', 'CAC / LTV', 'cap table forecast'. Output is a single formula-driven .xlsx. This skill is a scene layer on top of officecli-xlsx — it inherits every xlsx v2 rule (4-color code, visual floor, number formats, cache-drift, Known Issues, Delivery Gate minimum cycle). DO NOT invoke for a simple budget tracker, CSV dump, or operational KPI sheet — route those to officecli-xlsx base.

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, analyze, proofread, and modify Office documents (.docx, .xlsx, .pptx) using the officecli CLI tool. Use when the user wants to create, inspect, check formatting, find issues, add charts, or modify Office documents.

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 the user says `aegis:update`, asks to update or upgrade an installed Aegis method-pack, wants the latest Aegis version, or asks whether Aegis is current on this host.

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。

SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still an open loop, and what was just started. Use when someone asks "what happened this week", "what is still open", "what did the team finish", "give me the weekly rollup", or wants a status report over a .specstory/history corpus.

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。

SpecStory Lore - mine your SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more) into a persistent corpus, surface your reproducible workflows with corroborated evidence, and interactively forge the chosen ones into skills installed across all your agent harnesses. Use when the user wants to turn past AI coding sessions into reusable skills, asks "what could I make into a skill", "mine my lore", "forge skills from my history", or points at a .specstory/history directory.

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。

Interactive quiz tutor for Obsidian StudyVault learning. Use when the user wants to: (1) Take a diagnostic assessment of their knowledge, (2) Study or review specific sections/topics, (3) Drill weak areas identified in previous sessions, (4) Check their learning progress or dashboard, or says things like "quiz me", "test me", "let's study", "/tutor", "학습", "퀴즈", "평가".

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 animations and interactive elements (explainers, figures, hero visuals, step-through walkthroughs) in the crafted isometric "Anatomy" style, with many small precise solid parts, four-tone shading, correct painter's order, a framed card with title, hint and live readout, and calm eased motion. Works for physical machines and for abstract concepts (e.g. how an LLM picks its next token), as SVG/HTML or React/Next.js, with optional in-perspective WebGL shaders. Use this whenever someone wants an isometric animation, interactive element, explanatory diagram or figure for docs, a blog post, a landing page or an article, a "Linear-style" or "premium" technical drawing, or an SVG that shows how a system, algorithm or component works, even if they never say "isometric".

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 Claude Code as an independent `claude -p` subagent when the user explicitly asks for Claude, wants a second-agent opinion from Claude, or asks to delegate a well-scoped task to Claude. Supports selecting `--model` and thinking/effort level with defaults of the current `opus` alias and `high`.

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。

Audit the choices an implementing agent made, not its diff — a pure decision audit that traces the session's history into a choices ledger, changes no code, and never blocks an unsupervised run. Working code still embeds architecture the user never chose; surface it because future work inherits it. Use when the user wants to review the decisions the AI made on their behalf, before merging or committing AI-implemented work, when integrating a delegated subagent's pass, or when a fix "works" but might be a point fix.

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Eval and improve a skill against golden cases — run the target skill blind in a fresh, context-free subagent on each example input, grade the artifact against the expected outcome, and let the gaps drive the edits. Use when the user wants to test/eval/improve/harden a skill, says "this skill keeps producing X / keeps missing Y", or hands a skill plus example input→expected-output pairs. Pairs with [write-skills](../write-skills/SKILL.md) (the authoring principles every fix obeys).

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。

Sets up email on the user's own domain, such as hello@yourdomain.com, a real mailbox that sends and receives, with DropTheHassle. Use when the user wants domain email, a professional email address, an inbox like info@ or hello@ on their domain, or asks "can I get email on my domain". Checks the domain is active with site_status, then hands the human a checkout.stripe.com payment link from get_email_checkout_link (main inbox €5 / $5 a month). The agent never pays and never reads the mail.

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。

Finds a free domain name for the user's website and hands them a payment link to buy it, with DropTheHassle. Use when the user wants to buy a domain, find a domain name, check if a .com is available, "get a .com" or "my own domain" for a site. Checks real availability and price with search_domain or the DropTheHassle domain search API, suggests a short list, and after a yes returns a checkout.stripe.com link the human pays. The site goes live on the name with HTTPS and no DNS. The agent never pays.

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。

Publishes (deploys) a built website or web app to a free HTTPS link, then your own .com with no DNS. Use when the user wants to deploy a website, publish a website or host a website, or says "go live", "make it live", "put this live", "put it online", "publish my site", "deploy my website", "host my website", "share it with friends", "send my friends a link", "get a link", "make it public", "it only works on localhost" or "get a .com", or asks to deploy or host a site built with an AI tool (Claude Code, Cursor, Codex, Windsurf, Lovable, Bolt, v0, ChatGPT), or mentions DropTheHassle, and has not picked another host. Covers building first, CLI or MCP setup, deploying, Update and Restore, the claim link, the live check, linking a server part the user hosts on AWS, Google Cloud, DigitalOcean or their own server with set_backend, and domain search. The agent never spends money. The human pays.

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 the user wants to pull data out of one or more PDFs (invoices, bank/credit-card statements, receipts, reports, tables) and put it into a spreadsheet. pdf_read is one of the most-used tools; this codifies the read-PDF → structure → write-Excel workflow. Powered by LMCP on macOS and Windows.

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 the user wants to deal with their inbox — find what needs a response, draft replies, and turn emails into calendar events or reminders. Captures the common email→read→reply→schedule workflow on macOS (Apple Mail, Calendar, Reminders). Powered by LMCP.

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 the user wants to read or search iMessage or Signal (macOS) or Microsoft Teams, Slack and WhatsApp (macOS and Windows) from the apps on their computer. Powered by LMCP.

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 the user wants to read, search, summarize, draft or triage their Apple Mail / Gmail / Outlook / iCloud email in Apple Mail on macOS. Powered by LMCP's Mail tools, which are macOS-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。

Use when the user wants to find, read or create files and Office documents (Word/Excel/PowerPoint/PDF) on macOS or Windows, or browse OneDrive / Google Drive. Powered by LMCP; the tools execute on the device.

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 the user wants to read or search Microsoft Teams or Slack on macOS or Windows, including channels and DMs. Powered by LMCP, reading the desktop apps' local data.

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 the user wants to check their calendar, find availability, or create/update/delete events in Apple Calendar on macOS. Powered by LMCP's Calendar tools, which are macOS-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。

Use when the user asks "what's on my plate today", "catch me up", "morning brief", or wants a summary of their day across calendar, reminders and email. The single most common multi-step automation. Powered by LMCP on macOS and Windows.

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 articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.

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 platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

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。