A terminal-native agent that turns a rough campaign idea into bilingual social copy, approved scene prompts, and rendered Higgsfield images or video assets.
The ai video promo maker is built for teams that need to make a promo video with ai while keeping human approval in the loop. It is a finished Claude Code subagent for social media teams that want one local terminal flow instead of scattered prompt docs, caption drafts, and manual render commands. It interviews the user, chooses the right post structure, writes English, Arabic, or bilingual creative, then sends approved visual prompts to Higgsfield CLI for cinematic .mp4 or .png output.
Why this ai video promo maker stays inside Claude Code
This social media creation agent is intentionally local: the agent lives in .claude/agents/social-creator.md, project instructions live in CLAUDE.md, and render access is configured through local tool settings plus shell environment variables. Claude Code custom subagents are Markdown-defined workers with their own instructions, tool access, and delegation rules, which fits a repeatable creative assistant better than a loose chat prompt.
The practical result is simple: a marketer can type a raw idea, answer a guided terminal interview, approve the concept, and receive organized creative assets in the project folder without switching into a browser automation platform.
ai video promo maker workflow with Higgsfield rendering
The workflow has 5 gates: idea intake, interview, bilingual creative draft, concept approval, and Higgsfield render delivery. The agent maps each approved format to real render parameters such as 1:1, 9:16, or 16:9, then uses Model Context Protocol or direct terminal execution to call Higgsfield. The Higgsfield CLI repository documents terminal commands for image, video, model selection, aspect ratio, duration, and wait behavior, so the subagent can pass structured prompts instead of asking the user to copy commands manually.
Core Features
| Feature | Description |
|---|---|
| Raw Idea Intake | Blank-page delay disappears because the user can start with a rough campaign line, not a full creative brief. The subagent converts that idea into a structured social media request. |
| Interactive Post Specification Interview | Missing format details cause unusable outputs, so the agent asks for post type, aspect ratio, dimensions, mood, brand vibe, language profile, and approval status before generating assets. |
| Bilingual Content Creation | Arabic and English copy often drift apart when translated late. The agent routes captions, on-screen text, hooks, and hashtags through bilingual rules before the visual prompts are finalized. |
| Shot-by-Shot Scene Prompt Builder | Video prompts fail when they read like slogans. The tool writes scene-level prompts with camera motion, subject, setting, pacing, overlay text, and asset notes for short video generation. |
| Higgsfield Render Handoff | Manual command building invites wrong aspect ratios and lost files. The approved prompt is passed to Higgsfield with the selected model, ratio flag, duration, and output folder. |
| Render Polling and Asset Delivery | Creative teams lose time checking render status. The agent waits for job completion, retrieves the finished .mp4 or .png, and writes a local manifest for the generated asset. |
| Claude Delegation Rules | General Claude Code sessions can misroute creative requests. CLAUDE.md tells the main agent when to delegate social media generation work to social-creator. |
Build Notes for Technical Buyers
| Layer | Implementation Choice |
|---|---|
| Agent Runtime | Claude Code terminal CLI, chosen because the required experience is interactive terminal prompting inside the local project directory. |
| Subagent Definition | .claude/agents/social-creator.md, using YAML frontmatter, scoped tools, interview logic, output contracts, and bilingual routing instructions. |
| External Tool Bridge | .mcp.json for MCP configuration, aligned with Claude Code MCP setup when Higgsfield is exposed as a tool server. |
| Render Execution | Higgsfield CLI commands with approved prompt, --aspect_ratio, model, duration, and wait/poll behavior stored in repeatable terminal instructions. |
| Project Memory | CLAUDE.md, because Claude Code reads project instructions at session start and can use them to delegate social media creation requests consistently. |
Project Directory
social-media-video-agent/
├── CLAUDE.md
├── .mcp.json
├── .env.example
├── .claude/
│ └── agents/
│ └── social-creator.md
├── prompts/
│ ├── interview-questions.md
│ ├── bilingual-style-rules.md
│ └── scene-output-contract.md
├── assets/
│ ├── input/
│ ├── renders/
│ │ ├── images/
│ │ └── videos/
│ └── manifests/
├── examples/
│ ├── weekend-discount-9x16.md
│ └── bilingual-carousel-1x1.md
└── README.md
Use Cases
- Launch a weekend promotion faster by turning one rough campaign idea into a 9:16 short video brief, bilingual caption, hashtags, and a rendered video file.
- Produce carousel concepts without rewriting the same brand details by letting the terminal interview capture slide count, visual style, language, and CTA once.
- Keep Arabic and English campaigns aligned by generating bilingual captions and on-screen text from the same approved concept rather than translating after render planning.
- Reduce render mistakes by having the agent pass the selected aspect ratio and duration directly into Higgsfield instead of relying on manual command edits.
How to Create Promo Videos Using ai video promo maker for Claude Code Social Video Creation
Download & Set Up the Project
Download, set up, and install ai video promo maker for Claude Code Social Video Creation to get the project running. If you hit any difficulty, contact us here.
Open the Agent in Terminal
Start Claude Code in the project folder, then type a raw idea such as “make a high-energy weekend discount promo.”
Answer the Creative Interview
Choose Image Post, Short Video, Carousel, or Thread; then enter ratio, language profile, visual mood, brand notes, CTA, and approval preference.
Approve and Render
Reply approve render. The agent runs the Higgsfield command, waits for completion, then saves the .mp4 or .png plus manifest locally.
Performance and Quality Controls
Short-form video is not optional work for many marketing teams: HubSpot’s 2026 marketing statistics list short-form video as the most used media format and report 49% of marketers naming it as a top ROI-driving format. Wyzowl’s 2026 video marketing report also reports that 91% of businesses use video as a marketing tool and that video quality affects brand trust for 89% of consumers.
This tool responds to that pressure by enforcing a repeatable creative spec before generation. Each run captures at least 7 fields before prompting: format, aspect ratio, dimensions, mood, brand vibe, language profile, and CTA. Polling is configured around a 15-second status check so the terminal can wait without hiding failed jobs. For social teams managing fast content calendars, Sprout Social’s 2026 content strategy report is a useful benchmark because it surveyed 2,300+ consumers and 1,200+ marketers on what audiences expect from brand content.
For teams that need brand kits, approval logic, or custom creative modes added, CogworkLabs can provide Claude Code subagent customization and Higgsfield video generation integration around this working tool.
FAQs
Can AI help me make a promo video?
Yes. This tool turns a raw promo idea into a structured creative brief, bilingual caption set, shot-by-shot video prompt, and rendered asset. The important guardrail is approval: the agent does not send a render job until the concept has been reviewed in the terminal.
Does this promo video maker ai run outside Claude Code?
No. The working system is designed to run inside Claude Code using a project-scoped subagent, CLAUDE.md, and local MCP or CLI configuration. It avoids separate web automation platforms and keeps the interaction in the terminal.
How does the agent handle English and Arabic content?
The agent asks for a language profile during the interview, then writes captions, on-screen text, hashtags, and scene prompts according to that choice. For bilingual output, it keeps the concept shared while adapting phrasing so Arabic and English do not read like direct machine copies.
