video-batch-runner
Generate and manage InfiniteTalk and Seedance 2.0 video renders for short-form production. Use this when approved upstream assets or prompt plans already exist and you need local render manifests, downloaded video files, and replaceable routes for talking-head or Seedance generation without losing continuity across concepts and personas.
What this skill does
# Video Batch Runner ## Use When - Approved image, script, voice, or prompt-plan inputs already exist and the next step is a hosted talking-head, Seedance, or reference-motion render. - The output must preserve a local render manifest, source basis, hosted handles, output URLs, downloaded video files when the host can fetch them, and a pollable checkpoint. ## Do Not Use When - The task belongs to ideation, QA, or another released skill listed in the handoff section. - Required inputs are missing and guessing would change the result. - Task class, hook logic, storyboard, or reference policy is still unresolved. Use `video-generation` and `video-request-architect` first. ## Execution Boundary - This runner validates and executes normalized video requests. It must not make creative strategy, task-classification, or reference-policy decisions. - Default to the highest practical render quality for realism-sensitive human video; step down only for an explicit cheap draft, latency test, or provider limit, and persist the choice. - Default creative format is short-form vertical `9:16`; use `creativeFormat: "instagram_meta_ads"` or explicit `aspectRatio: "3:4"` when the target is Instagram Meta Ads, except Wanx 2.1 endpoints which currently accept only `9:16` or `16:9`. - Released provider is `hosted-media` only. Direct provider routes, ad hoc structured motion-control fields, and unbound media roles are not released. - `video-kling-v2-6-pro-motion-control` is only reference-motion transfer with a reference image plus reference motion video. - Wanx 2.1 Turbo endpoints are `video-wanx2-1-t2v-turbo` and `video-wanx2-1-i2v-turbo`; duration is fixed at 5 seconds, resolution is `480p` or `720p`, and image-to-video input must already be a remote HTTP(S) image URL. ## Source And Route - Source from the active project/client manifests first. Do not reuse another client directory as the default source basis. - Required for all routes: hosted capability request, `jobId`, `assetPurpose`, `sourceBasis`, `localOutputDir`, `provider: "hosted-media"`, and `model`. - Talking head requires approved `image`, approved `audio`, and script/concept source. Seedance requires intentional `final_prompt` or `prompt_summary` plus `promptPlan.prompt_storyline`, and required media for the selected mode. - `promptPlan.camera`, `promptPlan.shotType`, and `promptPlan.motion` constrain prompt text only; do not map them to provider-native trajectory fields. ## Request Boundary - `--request` must point to a hosted capability request JSON with explicit `capability`, `operation`, `operationId`, and normalized video `input`. - The agent writes normalized `request.json` and `poll-request.json` under `.postplus`; polling must use the poll request built from `output.data.id`. - Keep internal requests/responses under `.postplus` when they are not final handoff artifacts; keep final renders/manifests in the active render folder. ## Seedance Prompt Boundary - Prefer `prompt_summary` plus `promptPlan.prompt_storyline` over a dense paragraph. Each segment should carry subject, storyline, scene/style, camera language, sound intent, continuity constraints, and explicit `[image 1]` / `[audio 1]` / `[video 1]` bindings as applicable. - Do not use deprecated `promptPlan.storyboardTimeline`; use `promptPlan.prompt_storyline`. - Choose duration by spoken density. Use a shorter supported bucket or rewrite the segment instead of padding silent holds. ## Review And Handoff - Before submission, verify approved upstream assets, route/mode, media roles, concrete prompt source, source basis, asset purpose, and local output path. - After generation, keep `review_pending` until human QA checks lip sync, persona continuity, audio/image match, native feel, and ad-like drift. - If pending, return `manifestPath`, `pollRequestPath`, and `pollCommand` immediately. Do not keep thinking or polling in the conversation. ## Stop Conditions - Stop when required user intent, source evidence, or owned input artifacts are missing and guessing would change the result. - 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. - Readiness diagnostics: `postplus doctor --skill video-batch-runner`. - 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. - Use `postplus media schema --endpoint <endpoint-key> --json` only when constructing or repairing an unknown request shape. - Hosted media capability: `postplus media capability --request <hosted-capability-request.json> --output <result.json>`. - Use the capability request shape required by the selected workflow; do not call provider APIs directly. - 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.