Detect and analyze geometric clashes between BIM elements. Identify hard clashes, soft clashes, and workflow conflicts using spatial analysis and rule-based detection.
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。
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Detect and analyze geometric clashes between BIM elements. Identify hard clashes, soft clashes, and workflow conflicts using spatial analysis and rule-based detection.
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。
Property development lifecycle in OpenConstructionERP: lead to SPA to handover — feasibility, budgeting from cost bases, sales tracking and construction handover. Use for residential/commercial development projects.
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。
Check construction AI systems against the EU AI Act (Regulation 2024/1689): classify risk of estimation, scheduling, CV and agent tools, document transparency, keep human oversight. Use when deploying or auditing AI in construction.
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 construction defect detection using computer vision. Identify cracks, spalling, corrosion, and other defects in concrete, steel, and building components from images and video.
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。
Load national and market cost bases into OpenConstructionERP: the 8 national bases (Turkey Birim Fiyat, China Dinge, Brazil SINAPI, Spain BCCA, Italy Prezzario Toscana, Greece GGDE, Vietnam Dinh Muc, Indonesia AHSP), the 30 global markets, and 48 PPP market catalogs per base. Use when importing a cost database, repricing into a market, or troubleshooting a load.
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 game-ready fixed-cell pixel-art character spritesheets from text concepts, reference images, or existing character art. Use when Codex needs to design, generate, clean up, validate, and package 2D game characters with native 32x32, 64x64, or 128x128 cells; 4-way or 8-way directions; idle, walk/run, jump, attack, archer, caster, or other animation strips; transparent GIF/WebP previews; and per-direction targeted regeneration.
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 for any task that spans more than a couple of steps, files, or sessions — refactors, migrations, multi-file features, anything that must survive a context reset or crash. Trigger when the user asks for a plan, says "keep track of this", "don't lose the thread", or when a task is large enough that forgetting step four is likely.
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。
Turns a screenshot, mockup, Figma export, or photo of a UI into working front-end code - React + Tailwind CSS v4 by default, or Next.js, Vue, or plain HTML/CSS - matching layout, spacing, colors, and typography, then renders the result and compares it against the image to close visual gaps. Use whenever the user shares an image of a website, app screen, dashboard, component, or wireframe and wants it built, cloned, recreated, or "made real", or says "code this up", "build this design", or "match this screenshot".
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。
Extract key concepts from any content and create spaced-repetition flashcards. Multiple formats: Anki-compatible, printable PDFs, interactive web.
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。
Executive communication style for all-hands emails. Balances transparency with appropriate messaging.
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 a website or UI and de-AI it — find the patterns that make it look template-generated (in both design and copy) and return specific, prioritized fixes that push it toward editorial, premium, human-crafted. Reviews layout, color, type, spacing, motion, accessibility, AND the words. Use after building or generating any frontend, or when a site looks "fine but generic" and you can't say why.
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 complete, premium design system from a brand brief or an existing site — color tokens, type scale, spacing/radius/elevation, motion language, and component specs — exported as Tailwind config, CSS variables, and a usage doc. Built to look editorial and human-crafted, not template-generated. Use when starting a new product/site, unifying an inconsistent UI, or codifying a brand into reusable tokens.
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 profit & loss statement (compte de résultat / income statement) from a Well workspace. Use when the user asks for a P&L, income statement, compte de résultat, revenue vs expenses, or net result over a period.
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 a month-end (or period) close checklist against a Well workspace — verify everything is reconciled and posted before the books are closed. Use when the user asks to close the month/period, run a close checklist, check if the books are ready to close, or what's left before closing.
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。
Match bank transactions to invoices and surface unpaid / unmatched items in a Well workspace. Use when the user asks what's paid vs unpaid, to reconcile the bank, to find missing payments, or to match transactions to invoices.
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。
Produce an accounts-receivable aging report and surface overdue invoices for a Well workspace. Use when the user asks who owes them money, an AR aging report, overdue invoices, days sales outstanding (DSO), or which customers to chase.
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。
How to query a Well workspace correctly — discover the schema first, then query the right root. Use whenever the user asks about their invoices, companies, contacts, bank transactions, accounts, or accounting ledger in Well, or before writing any well_query_records call.
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。
Produce a VAT / sales-tax summary for a period from a Well workspace's posted ledger. Use when the user asks for a VAT return, VAT summary, sales tax owed, output vs input VAT, or tax declaration figures for a period.
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 balance sheet (bilan) from a Well workspace. Use when the user asks for a balance sheet, bilan, assets/liabilities/equity, or financial position at a point in time.
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。
Forecast cash flow and runway for a Well workspace from booked invoices and collected bank transactions. Use when the user asks for a cash-flow forecast, runway, how long until they run out of cash, projected balance, or expected inflows/outflows.
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 diverse solution candidates with category-spanning ideation methods and rotation. Use when stuck on a design or fighting repetitive LLM output.
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。
Detects time and space complexity hotspots via AST scan. Use when code feels slow, before performance-sensitive merges, or to find O(n²) regressions.
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。
Updates, generates, and validates tests using git-workspace context and TDD/BDD methodology. Use when code changes require new or updated test coverage.
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。
Searches and navigates stored knowledge in memory palaces. Use when looking for previously stored information or cross-referencing concepts across palaces.
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。