「specification」の検索結果

Generates comprehensive test specification with unit tests, UI tests, accessibility testing, and beta testing plan. Creates TEST_SPEC.md from PRD and implementation specs. Use when creating QA strategy.

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。

Generates UI/UX specifications with wireframes and design system. Creates UX_SPEC.md and DESIGN_SYSTEM.md from PRD and Architecture specs. Use when designing app interface and creating design system.

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。

Generates technical architecture specification from PRD. Covers architecture pattern, tech stack, data models, and app structure. Use when creating ARCHITECTURE.md or designing system architecture.

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。

Master orchestrator that generates all implementation specs (PRD, Architecture, UX, Implementation, Test, Release) from product plan. Use when generating complete specification package.

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 App Store asset specifications and guidelines for all promotional artwork — app icons, screenshots, app previews, event cards, subscription images, and featuring artwork. Use when preparing assets for App Store Connect upload.

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。

End-to-end product development for iOS/macOS apps. Covers market research, competitive analysis, PRD generation, architecture specs, UX design, implementation guides, testing, and App Store release. Use for product planning, validation, or generating specification 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。

Universal LaTeX document skill: create, compile, and convert any document to professional PDF with PNG previews. Supports resumes, reports, cover letters, invoices, academic papers, theses/dissertations, academic CVs, presentations (Beamer), scientific posters, formal letters, exams/quizzes, books, cheat sheets, reference cards, exam formula sheets, fillable PDF forms (hyperref form fields), conditional content (etoolbox toggles), mail merge from CSV/JSON (Jinja2 templates), version diffing (latexdiff), charts (pgfplots + matplotlib), tables (booktabs + CSV import), images (TikZ), Mermaid diagrams, AI-generated images, watermarks, landscape pages, bibliography/citations (BibTeX/biblatex), multi-language/CJK (auto XeLaTeX), algorithms/pseudocode, colored boxes (tcolorbox), SI units (siunitx), Pandoc format conversion (Markdown/DOCX/HTML ↔ LaTeX), and PDF-to-LaTeX conversion of handwritten or printed documents (math, business, legal, general). Compile script supports pdflatex, xelatex, lualatex with auto-detection, latexmk backend, texfot log filtering, PDF/A output, and verbosity control (--verbose/--quiet). Empirically optimized scaling: single agent 1-10 pages, split 11-20, batch-7 pipeline 21+. Use when user asks to: (1) create a resume/CV/cover letter, (2) write a LaTeX document, (3) create PDF with tables/charts/images, (4) compile a .tex file, (5) make a report/invoice/presentation, (6) anything involving LaTeX or pdflatex, (7) convert/OCR a PDF to LaTeX, (8) convert handwritten notes, (9) create charts/graphs/diagrams, (10) create slides, (11) write a thesis or dissertation, (12) create an academic CV, (13) create a poster, (14) create an exam/quiz, (15) create a book, (16) convert between document formats (Markdown, DOCX, HTML to/from LaTeX), (17) generate Mermaid diagrams for LaTeX, (18) create a formal business letter, (19) create a cheat sheet or reference card, (20) create an exam formula sheet or crib sheet, (21) condense lecture notes/PDFs into a cheat sheet, (22) create a fillable PDF form with text fields/checkboxes/dropdowns, (23) create a document with conditional content/toggles (show/hide sections), (24) generate batch/mail-merge documents from CSV/JSON data, (25) create a version diff PDF (latexdiff) highlighting changes between documents, (26) create a homework or assignment submission with problems and solutions, (27) create a lab report with data tables, graphs, and error analysis, (28) encrypt or password-protect a PDF, (29) merge multiple PDFs into one, (30) optimize/compress a PDF for web or email, (31) lint or check a LaTeX document for common issues, (32) count words in a LaTeX document, (33) analyze document statistics (figures, tables, citations), (34) fetch BibTeX from a DOI, (35) convert a Graphviz .dot file to PDF/PNG, (36) convert a PlantUML .puml file to PDF/PNG, (37) create a one-pager/fact sheet/executive summary, (38) create a datasheet or product specification sheet, (39) extract pages from a PDF (page ranges, odd/even), (40) check LaTeX package availability before compiling, (41) analyze citations and cross-reference with .bib files, (42) debug LaTeX compilation errors, (43) make a document accessible (PDF/A, tagged PDF), (44) create lecture notes or course handouts, (45) fill an existing PDF form (fillable fields or non-fillable with annotations), (46) extract text or tables from a PDF (pdfplumber, pypdf), (47) OCR a scanned PDF to text (pytesseract), (48) create a PDF programmatically with reportlab (Canvas, Platypus), (49) rotate or crop PDF pages (pypdf), (50) add a watermark to an existing PDF, (51) extract metadata from a PDF (title, author, subject).

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 branded infographic specifications from any content or data. Outputs structured layout, copy, data visualization, and color scheme — ready to render as HTML/CSS, Satori, Canva, or any design tool. Use this skill when the user wants an infographic, data visual, social media image, comparison chart, stat card, or says "create an infographic for [content]", "make a visual for my LinkedIn post", "design an image for [topic]", "stat graphic for [data]", "comparison infographic", "branded image", "social media graphic", "infographic for [blog post]", "data visualization", "visual content", "image for my post", "LinkedIn carousel image", "feature comparison chart", "pricing table image".

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 comprehensive HTML architecture diagrams showing data flows, business objectives, features, technical architecture, and deployment. Use when users request system architecture, project documentation, high-level overviews, or technical specifications.

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。

Called when users need to create new OpenCode skills. Automatically creates directory structure and writes SKILL.md files conforming to specifications.

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。

Creates new specialized agents using the 5-phase workflow (ANALYZE > DESIGN > CREATE > VALIDATE > REFINE). Use when building a new AI agent or validating an existing agent specification.

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。

5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples

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。

BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification

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。

Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications

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。

Weekdays, browser only when a source refuses to be fetched. Works the single card the standup marked next: reads the shared publishing standard and the card's specification, pulls the live result set for the primary keyword, reads the pages currently ranking, writes the body, the metadata, the internal links and the outbound authority links, generates and compresses a hero, and leaves a complete draft folder with one ready line. It never opens a publishing surface, never touches a live property, and never touches a credential.

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。

Weekdays. Works the next ready card on the board, one card per run, and assembles what it needs as a complete local file ready to paste: a campaign build sheet, a negative keyword file, a conversion action specification, an audience definition, or an upload packet. The whole step happens in a text editor until you release the ad account in RELEASES.md, and then Step 6a publishes the approved package through a connection you already have and writes a receipt for every id the platform returns.

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。

Weekly. Audits the paid and measurement setup the member already has by reading it, then assembles the parts that are missing as local files: campaign structure, ad copy, negative keyword seeds, and conversion tracking specifications, each one complete and ready to paste. It creates nothing in an account, saves nothing, activates nothing, and spends nothing, unless you released the channel. This is where the spend stop lives.

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。

Design bounded bot specifications with clear purpose, examples, output contracts and error handling. Use for this Bot Generator Bot template; creates drafts or simulations within its declared scope.

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, revise, validate, or package Bot Generator Bot agent specifications and runnable MetaHarness agents using its CLI or MCP. Use for this repository's agent creation workflow, not unrelated chatbot products.

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 comprehensive Product Requirements Documents (PRDs) for product managers. Use this skill when users ask to "create a PRD", "write product requirements", "document a feature", or need help structuring product specifications.

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。

Standardize PRD discovery and drafting for product scope, user outcomes, requirement IDs, and acceptance criteria. Use when creating PRD, product requirements, feature specification, or acceptance criteria plan.

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。

Designs modular high-level architectures from functional requirements and produces design documents for each module. Use when designing a new system, creating architecture documentation, or producing module-level design specs with integration contracts and test specifications.

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。

Iteratively refine a product spec by debating with multiple LLMs (GPT, Gemini, Grok, etc.) until all models agree. Use when user wants to write or refine a specification document using adversarial development.

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 and use brand.yml files for consistent branding across Shiny apps and Quarto documents. Covers: (1) Creating new _brand.yml files, (2) Applying to Shiny (R and Python), (3) Using in Quarto, (4) Modifying existing files, and (5) Troubleshooting. Includes complete specifications and integration guides.

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。