slideshow-producer
End-to-end TikTok or Instagram slideshow production with vibe-driven prompt writing, local JSON slide management, optional localhost review GUI, batch GPT Image 2 generation, and text overlay compositing. Use this when the user wants to create slideshows or carousels from scratch, including script planning, image prompts, and export-ready slide sequences.
What this skill does
# Slideshow Producer ## Use When - The user wants TikTok slideshow or Instagram carousel production from vibe, local images, slide prompts, reviewable manifest JSON, generated images, and final text overlays. - Use after script/hook strategy is clear enough to plan slides. This skill owns slide manifest, preview/review, generation orchestration, and compositing. ## 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. ## Execution Boundary - Do not write hook variants from scratch, call image providers directly, create persona packs, or replace final creative QA. - Default image models are `image-gpt-image-2-text` for slides without references and `image-gpt-image-2-edit` for slides with references. - Default quality is `medium`, resolution `1k`, output PNG. Default platform is TikTok `9:16`; Instagram carousel uses `4:5` unless the user asks otherwise. ## Manifest And Routing - The slide manifest is the routing source of truth. - `imageSource: "local"` uses `localImagePath` as the final image and must not call generation. - `imageSource: "generate"` with no reference paths/URLs must use `image-gpt-image-2-text`. - `imageSource: "generate"` with any reference path/URL must use `image-gpt-image-2-edit`. - Never send reference-backed slides through text-to-image. Fix the manifest before generation if routing is inconsistent. ## Source And Prompt - Ask for platform, slideshow count, vibe, source basis, output folder, and any local images. Classify local images as final slide images or generation references. - Prompts should be core scene plus vibe in two or three sentences. Add concrete product, environment, emotion, and prop details when they matter; avoid long negative-constraint walls. - Save a local manifest before generation. For three or more slideshows, split manifest drafting across parallel sub-agents, then the main agent reviews the collected manifests. ## Review And Handoff - Before generation, ask for explicit approval: number of slides, model, quality, resolution, and counts of text-to-image versus reference edits. - After compositing, hand off final image paths, updated manifest, and any `creative-qa` or publishing. ## 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 slideshow-producer`. - 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 --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.
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