「arr」の検索結果

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。

Use this skill to build academic-style .docx output: journal / conference / thesis chapters carrying formal citation style (APA, Chicago, IEEE, MLA), numbered equations, figure & table cross-references, footnotes/endnotes, bibliography, or multi-column journal layout. Trigger on: 'research paper', 'journal paper', 'conference paper', 'manuscript', 'thesis', 'APA', 'MLA', 'Chicago', 'IEEE two-column', 'bibliography', 'hanging indent', 'citation style', 'abstract + keywords', 'equation numbering', 'cross-reference', paper with footnotes/endnotes. Output is a single .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。

Drive a pull request on this repository to green — which fast checks to run before pushing, how to read a red check, and what to do about a review comment. Use when a CI failure, a review comment, a merge conflict, or a scheduled check-in arrives on a PR you opened or were asked to drive.

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。

A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.

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 a candidate finding falls into a noisy category - the do-not-report list, the precedents that settle recurring edge cases, and the narrow exceptions where an excluded category still counts

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 a screen design needs variants - how many, one document per variant, what makes two variants genuinely different, recommending one, how the human's choice is read, and narrowing to the chosen one in revision

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 your context carries "The approved design this task builds" - comparing the running UI with the approved hand-off and mockup at each width and state, evidence screenshots attached to the task, Blocker/High/Medium/Nitpick findings and which of them fail the round

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 an analiz task arrives in done (approved) - turn the approved split into implementation tasks with repository, AC, derived_from and ordering arguments

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 an approved analiz spans more than one repository - split the work per repository and open one or more tasks per repository, each carrying its own plan slice

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 task came back to QA after need_revision - what to re-run, what may carry over, and how to keep old passes from approving new 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。

Root-cause debugging discipline. Use when a test, build or pipeline fails, behaviour does not match expectations, a bug task arrives, or a task comes back in need_revision — before proposing any fix.

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 adding routes or deciding where state lives - carry resource ids and navigation-surviving state in the URL, keep route components thin, and lift shared state to a hook not a global store

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 board comments the way a colleague does — lead with the finding, a few lines, no preamble or process narration. Use when about to call add_task_comment or comment_on_pull_request, or when deciding whether something deserves a comment at all.

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 work a production incident remediation task. Use when the task title starts with "Incident:" or its description carries an incident id and a suggest/auto_fix policy.

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。

Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.

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 startups with Paul Graham mindset (pressure, founder-market fit, brutal validation), Dan Koe discipline (monetization, offer, distribution, sales), and Seth Godin principles (differentiation, narrative, smallest viable audience). Triggers on startup idea, business validation, MVP, first customers, revenue model, GTM, product-market fit, "I have an idea".

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, compose, migrate, and review TypeScript runtime type guards with is-kit. Use when adding reusable guards; replacing typeof, null checks, or handwritten type predicates; narrowing unknown values; validating JSON or API responses; building collection or object schemas with struct or typedStruct; or reviewing existing is-kit usage. Do not use for one-off environment checks or validation that requires data transformation or rich error reporting.

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。

Draft a Guardrails PR from its complete final diff and carry out authorized CI and review follow-up, including stacked PRs and takeovers.

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。

Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board 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。

Create professional investor pitch decks with structured content and visual design. Use when users need help with pitch deck, investor deck, fundraising deck, startup pitch, deck design, slide design, pitch presentation, pitch deck visuals, investor presentation, Series A deck, seed deck, or VC deck. Covers the full workflow: gathering company info, structuring narrative, generating a PowerPoint via script, and applying visual best practices.

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 brand messaging, positioning, and value proposition development using proven frameworks including Peep Laja Message Layers, Osterwalder Value Proposition Canvas, Geoffrey Moore positioning, April Dunford's Five Components, StoryBrand SB7, Andy Raskin Strategic Narrative, and Messaging House. Use when developing brand identity, brand messaging architecture, positioning statements, value propositions, messaging hierarchies, brand pillars, taglines, one-liners, elevator pitches, brand guidelines, visual identity systems, or creating Positioning & Messaging Packs. Triggers include: messaging framework, brand positioning, value prop, messaging architecture, brand pillars, brand identity, StoryBrand, positioning statement, brand guidelines, design system, messaging house, corporate identity, brand voice, visual standards.

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。

The methods a financial-ML result has to survive before it is evidence — purged cross-validation with an embargo, triple-barrier labelling, sample uniqueness under overlapping labels, fractional differentiation, meta-labelling, and multiple-testing correction. Written because the invariants were required of quant-researcher and nothing in the project explained how to satisfy them: a rule without a method produces either an invention or a block. Applied whenever a backtest, a feature or a label is being designed or judged.

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, redesign, repair, validate, preview, and package lightweight standalone HTML deliverables. Use for marketing experiences, product prototypes, infographics, motion narratives, documents, browser tools, dashboards, guided workflows, knowledge interfaces, mini-games, presentations, reusable style and brand systems, and local-model text, vision, image, or code tools that must run without a build chain or hosted service.

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。

Builds QA harnesses and agent evals. Use when evaluating tool, trace, red-team, regression, multi-agent, or carried-workspace coding trajectories. Not for metric design (ai-evals).

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。