image-generation
Control image generation requests before execution. Use this when the user wants text-to-image, image edit, reference-image generation, product image, persona image, banner, thumbnail, storyboard image, or image batch variants and the skill must identify inputs, classify the task, choose model/reference rules, then hand off to image-batch-runner.
What this skill does
# Image Generation ## Use When - The desired final asset is an image or image batch. - The request may include text prompts, uploaded images, previous outputs, product URLs, research handoffs, product images, persona images, banners, thumbnails, storyboard panels, or batch variants. - The next decision is task class, model/reference policy, and runner handoff. ## Do Not Use When - The final asset is video, audio, subtitles, transcripts, or an edit plan. - The image request is already normalized and ready to execute. Use `image-batch-runner`. - The user needs hook decoding or reference boundaries first. Use `reference-decode` or `reference-contract-builder`. ## Core Boundary This is the image generation controller. It does not submit jobs. It must: 1. identify the input type, 2. classify the image task, 3. select model and reference rules, 4. create the handoff for `image-batch-runner`. ## Task Classes | Task class | Typical input | Handoff | | --- | --- | --- | | `text_to_image` | prompt only | write normalized image brief for `image-batch-runner` | | `image_edit` | uploaded image plus change request | bind edit image and preserve/alter rules | | `reference_image` | benchmark frame or style board | use `reference-contract-builder` before runner | | `product_image` | product photo, URL, or product facts | bind product identity and forbid invented claims | | `banner_thumbnail` | offer, hook, platform | require aspect ratio and text/UI policy | | `storyboard_image` | panel plan or board spec | hand storyboard panels to `image-batch-runner` | | `batch_variant` | many variants or personas | preserve shared rules and vary only declared fields | ## Model And Reference Rules - Text-only drafts may use a text-to-image endpoint. - Edits require a bound source image and an edit-capable endpoint. - Persona, product, and brand identity are `binding` references unless the user explicitly marks them inspiration-only. - Benchmark clips, mood boards, and competitor references are inspiration-only unless the contract says otherwise. - Excluded references must not enter the runner request. ## Routing Table | If not image-generation | Send to | | --- | --- | | Needs media understanding first | `media-router` | | Needs reference meaning decoded | `reference-decode` | | Needs binding/inspiration/excluded contract | `reference-contract-builder` | | Needs storyboard panels | `storyboard-grid-writer` | | Needs execution with normalized request | `image-batch-runner` | | Final output is video | `video-generation` | | Final output is audio | `audio-generation` | ## Output Shape Return: - `taskClass` - `inputType` - `modelRule` - `referencePolicy` - `requiredRunnerInputs` - `handoffSkill` - `mustNotDo` ## Stop Conditions - Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result. - Do not let `image-batch-runner` make creative classification decisions. - If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools. ## Public Command Boundary - Choose the smallest matching command or workflow from the user input and run it directly. - If an owned CLI or script command fails, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools. - This public skill is instruction-driven. Produce the controller handoff artifact directly from the available evidence. - Do not call private provider/runtime paths or unpublished local tools. - If the CLI returns a quote-confirmation challenge, run `postplus quote confirm --json --challenge-file <challenge.json>` and retry with the returned token.
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.