
video-request-architect
Turn approved storyboard logic, beat sheets, or prompt plans into provider-ready short-form video requests. Use this when the segment structure is already known and you need a model-agnostic request architecture that can later map cleanly into Seedance or other video generators.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/postplusai/postplus-skills --skill video-request-architect- 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 video-request-architect 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.
Video Request Architect
Use When
- The scene logic, storyboard, beat sheet, or prompt plan is already approved.
- You need a provider-agnostic request architecture before mapping to a video model.
- A long script must be split into self-contained Seedance-ready segments.
- The target creative format or aspect ratio must stay explicit through request mapping.
Do Not Use When
- Use
benchmark-to-brieffirst when the campaign pattern or hook evidence is still unclear. - Use
reference-decodeorreference-contract-builderfirst when reference meaning or copy boundaries are unresolved. - Use
prompt-preflight-qawhen the request is already drafted and needs QA before generation.
Core Rule
Prompt architecture comes before provider syntax.
Write the visible clip in time order before choosing model fields. Every final request must be self-contained; do not rely on a model remembering previous segments, earlier prompts, or unstated reference bindings.
This architect skill builds provider-agnostic request structure. It must not call providers, submit jobs, upload media, or poll results.
Lock the PostPlus creative format before provider mapping. Default to
short_form_vertical / 9:16; use instagram_meta_ads / 3:4 when the brief
is for Instagram Meta Ads. The selected ratio must appear in the architecture,
segment contract, and final render request.
Default Workflow
- Lock the experiment goal: hook replication, camera realism, persona continuity, benefit proof, CTA readability, or another narrow test.
- Build the scene before fields: first frame, visible action, spoken-line support, payoff moment, product timing, and binding references.
- Convert the scene into provider-agnostic blocks: role, goal, hook logic, reference policy, output spec, look/tone, timecoded beat sheet, camera, sound intent, and product policy.
- If the target duration exceeds 15 seconds for Seedance, require a timecoded
beatSheetwith ordered, non-overlappingstartSecondsandendSeconds. Split into independently generatable segments before provider mapping. - Print or return the request skeleton before the final provider request: goal, segment type, hook logic, viewer question, reference policy, duration, creative format, aspect ratio, camera grammar, product policy, and main risks.
- Map to provider fields only after the architecture is coherent: model, duration, aspect ratio, media references, quality, and resolution.
Output Shape
The artifact contains a JSON architecture with:
creativeFormat,targetAspectRatio, anddurationsegmentType,goal,hookLogic, andviewerQuestionreferencePolicy,cameraGrammar,productPolicy, andmainRisksskeletonfor the request checkpointsegmentContractwith Seedance segmentation status and per-segment handoff data when segmentation is required
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.
Handoff
- Hand
request-architecture.jsonto the provider mapping or generation skill. - For hook or segment uncertainty, hand back to
benchmark-to-briefor the human script review gate. - For reference uncertainty, hand to
reference-decodeorreference-contract-builder.
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 artifact described by the workflow 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.
FAQ
What does the video-request-architect skill do?
Turn approved storyboard logic, beat sheets, or prompt plans into provider-ready short-form video requests. Use this when the segment structure is already known and you need a model-agnostic request architecture that can later map cleanly into Seedance or other video generators.
How do I install video-request-architect?
Run npx skills add https://github.com/postplusai/postplus-skills --skill video-request-architect 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/video-request-architect/ (personal) or .claude/skills/video-request-architect/ (project).
Which AI agents can use video-request-architect?
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 video-request-architect 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 video-request-architect?
It is published by postplusai in postplusai/postplus-skills. It has 818 recorded installs.
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