「generating」の検索結果

Use when setting up firebase_ai, generating text/chat with Gemini, streaming AI output, building multimodal prompts, or handling AI errors.

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Use when generating or editing images from Flutter/Dart with Firebase AI Logic and a Gemini image model (Nano Banana), making the first call work, choosing Gemini Developer API vs Vertex AI, hitting quota, billing or App Check failures, getting empty or image-only responses, sending a user photo as input, controlling aspect ratio or size, writing the image prompt, or deciding what to test.

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Use when generating mocks, stubbing methods, verifying interactions, capturing arguments, or choosing between mocks, fakes, and real objects (Mockito).

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。

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

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YAML output format and approval criteria for platform design reviews. Load when generating review feedback.

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Use when ONE static image needs a full brief for a designer or photographer — visual objective, concept and mood, composition, overlay copy, colors and fonts read from the brand guideline, per-channel dimensions, deliverables, and approval criteria. Trigger on 'image brief', 'banner brief', 'thumbnail brief', 'brief for the designer', 'how should this graphic look', 'the design came back wrong again'. Also use when the user has a post idea and needs to explain the visual. Not for — a multi-slide sequence, see `43-carousel-brief-global`; tool-level production steps in Canva or Figma, see `45-design-tool-brief-global`; generating the image with AI, see `30-design-master-global`; an urgent same-day swap, see `48-quick-visual-brief-global`.

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Use when working with color naming, color theory, color spaces, color definitions, or any task involving color knowledge - palettes, ramps, gradients, conversions, accessibility, perceptual matching, pigment mixing, print-vs-screen color, CSS color syntax, or historical color terminology. Use this skill whenever the user is choosing, comparing, generating, naming, converting, or explaining colors, even if they do not explicitly ask for "color theory."

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Rules for Operately schema migrations (app/priv/repo/migrations/) and data migrations (app/lib/operately/data/change_*.ex). Use when adding, renaming, reviewing, or generating database migrations, ecto.gen.migration, Operately.Data.Change* modules, backfills, schema_migrations version collisions, mix ecto.migrate, or make gen.migration.

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Turn acceptance criteria into an executable test plan (scenarios, seed, selector gaps) before generating E2E code. Use when ACs exist but no runnable test plan does yet.

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Automate Swagger/OpenAPI documentation and standardize API response schemas in NestJS. Use when generating OpenAPI specs, documenting paginated or generic responses, configuring the Nest CLI Swagger plugin, or publishing versioned API docs.

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Configure Redis session drivers, register security-header middleware, and prevent session fixation in Laravel. Use when switching session drivers, adding HSTS/CSP headers via middleware, or regenerating sessions after login.

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Generate user-facing release notes for the App Store and Google Play from git history (App Store <=4000 chars, Google Play <=500). Use when generating release notes, app store changelog, play store release, or "what's new" text for a mobile app.

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Drive Google Stitch over MCP safely - read screens, write and lint DESIGN.md, create design systems, and fix designs through variants instead of overwriting. Use when reviewing, editing, or generating Stitch screens or DESIGN.md files.

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Ash Framework — resources, actions, policies, aggregates; Use when generating resources via mix ash.codegen, editing…

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Ash Framework — resources, actions, policies, aggregates, calculations, AshPhoenix.Form, LiveView, migrations. Use when generating resources via mix ash.codegen, editing changes, checks, types, validations, or domain code interfaces.

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Helps a teacher prepare to teach an existing K-12 lesson (math / ELA / science / social studies) — a prep partner that thinks through the lesson's key student task with the teacher and leaves a short teacher-only prep note. Triggers on asks to internalize, prepare for, get ready to teach, or understand a lesson, including implicit ones ("help me get ready for tomorrow's lesson"), and right after another skill built a lesson, which it can follow. Not for building or adapting a lesson, grading, rubrics, assessment feedback, or generating quizzes or student-facing material, and not for single-fact lookups a sentence would answer ("what standard is this?", "how long is this lesson?").

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This skill should be used when generating spec artifacts (research.md, requirements.md, design.md, tasks.md), formatting agent output, structuring phase results, or when any Ralph agent needs guidance on concise, scannable output formatting. Applies to all Ralph spec phase agents.

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Validates all pre-generation gates before sending tracks to Suno. Checks sources verified, lyrics reviewed, pronunciation resolved, explicit flag set, style prompt complete, and artist names cleared. Use before generating tracks on Suno or when the user says "pre-gen check" or "ready to generate".

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Reviews lyrics against a quality checklist before Suno generation. Use before generating tracks to catch rhyme, prosody, pronunciation, and structural issues.

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Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

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Comprehensive guide for writing modern Neo4j Cypher queries. Essential for text2cypher MCP tools and LLMs generating Cypher queries. Covers removed/deprecated syntax, modern replacements, CALL subqueries for reads, COLLECT patterns, sorting best practices, set-based writes, and Quantified Path Patterns (QPP) for efficient graph traversal.

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Use whenever the user asks to "humanize", "make this sound more human", "rewrite to avoid AI detection", "make this less AI-sounding", "add a human voice", or "write like a person". Also use when the user pastes text and asks why it reads as robotic, generic, flat, or AI-like, or when generating new text in a register where AI tells (em dashes, semicolons, hedges, banned vocabulary like "delve", "leverage", "robust") would damage credibility.

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Full-stack frontend development combining premium UI design, cinematic animations, AI-generated media assets, persuasive copywriting, and visual art. Builds complete, visually striking web pages with real media, advanced motion, and compelling copy. Use when: building landing pages, marketing sites, product pages, dashboards, generating media assets (image/video/audio/music), writing conversion copy, creating generative art, or implementing cinematic scroll animations.

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Generate comprehensive technical documentation including API docs (OpenAPI/Swagger), code documentation (TypeDoc/Sphinx), documentation sites (Docusaurus/MkDocs), Architecture Decision Records (ADRs), and diagrams (Mermaid/PlantUML). Use when documenting APIs, libraries, systems architecture, or building developer-facing documentation sites.

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。