
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.
- Installs
- 835
- Last 24h
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill slideshow-producer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads slideshow-producer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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, bypass the shared image command, create persona packs, or replace final creative QA.
- Route slides by reference state:
image-gpt-image-2-textfor slides without references,image-gpt-image-2-editfor slides with references. - Slideshow aspect is a creative choice passed as
--aspect-ratio(TikTok9:16; Instagram carousel4:5unless the user asks otherwise). The other image defaults (quality, resolution, output format) are owned by the image create verb — discover them viapostplus media schema --json; do not restate hosted enums here.
Manifest And Routing
- The slide manifest is the routing source of truth.
imageSource: "local"useslocalImagePathas the final image and must not call generation.imageSource: "generate"with no reference paths/URLs must useimage-gpt-image-2-text.imageSource: "generate"with any reference path/URL must useimage-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-qaor 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 still fails after any bounded recovery allowed by the executing PostPlus skill, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, alternate execution paths, 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 still fails after any bounded recovery allowed by the executing PostPlus skill, report the exact error and stop. Do not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, alternate execution paths, or unpublished tools.
- Use
postplus media schema --jsononly when constructing or repairing an unknown request shape. - Generate each slide through the shared image create verb (owned by image-batch-runner), attributing the run to this skill:
postplus media create image-gpt-image-2-text --skill slideshow-producer --prompt '<scene + vibe>' --aspect-ratio <ratio> --output <result.json>. For reference-backed slides useimage-gpt-image-2-editwith one or more--reference-image <url>. Do not use another execution interface. - If the CLI returns a quote-confirmation challenge, run
postplus quote confirm --json --challenge-file <challenge.json>and retry with the returned token.
FAQ
What does the slideshow-producer skill do?
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.
How do I install slideshow-producer?
Run npx skills add https://github.com/postplusai/postplus-skills --skill slideshow-producer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/slideshow-producer/ (personal) or .claude/skills/slideshow-producer/ (project).
Which AI agents can use slideshow-producer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is slideshow-producer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains slideshow-producer?
It is published by postplusai in postplusai/postplus-skills. It has 835 recorded installs.
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