Digital Human Video Production
Product demonstration explanation skill
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Description
#Codex #AI-Agent #Skill #Digital Human Video #AI Video Production #Video Automation #Content Creation #FFmpeg #Open Source Project
Digital Human Video Production is a general video production Skill aimed at Codex and local AI creative workflows. Its goal is not merely to generate a segment of digital human narration, but to combine product briefs, pre-approved voiceovers, digital or real human narration materials, actual product footage, and animations into a reusable production process, ultimately producing a video that can be directly delivered.
One interesting aspect of this project is that it does not hardcode a specific brand, advertisement script, or visual style into the Skill. The product facts, copy, brand colors, fonts, image and video materials, and supplier parameters used in specific projects are all kept in the corresponding project directory; the GitHub repository itself focuses on preserving reusable methods, rules, scaffolding, and quality gates. This way, the same Skill can be repeatedly applied to different products and brand video projects.
In other words, it is more like preparing a set of "video production SOP" for Codex. AI does not just randomly generate videos based on a single prompt, but organizes multiple video production stages that originally required manual linking into a more stable and repeatable workflow according to clear input materials, production rules, and inspection standards.
General Skill for Codex: Organizes the video production process into a Skill that Agents can understand and execute, allowing tools like Codex to participate in the complete video production workflow.
Product Brief Driven: Can organize video production around the product information provided by the project, while keeping specific product facts on the project side, avoiding hardcoding specific product information into the general Skill.
Use of Approved Voiceovers: The workflow emphasizes using confirmed copy and voiceover content for production, reducing the risk of arbitrarily modifying core marketing information during the generation process.
Digital and Real Human Narration: The workflow can incorporate both digital human narration and real human narration materials, not binding the entire production process to a single character generation solution.
Integration of Real Product Footage: In addition to the narrating character, real product materials can also be included in the video, allowing the product shots to align with the narration content, making the final result closer to an actual deliverable product video.
Animation Composition: Capable of incorporating different components such as narration, product footage, and animations into a unified production process, rather than just outputting a simple Talking Head video.
Decoupling Brand and Workflow: The Skill does not bind to specific brands, scripts, pages, or visual systems. Brand-related information such as colors, fonts, copy, and media materials are all provided by specific projects, making it easier to reuse across different clients and products.
Projectization of Supplier Parameters: Parameters related to specific service providers can also be placed in the project directory, with the general repository mainly maintaining production methods, eliminating the need to redesign the entire Skill due to project or supplier changes.
Reusable Video Scaffolding: The repository retains a general video production structure and execution rules, allowing new projects to start production directly based on existing scaffolding, reducing the time spent on repetitive workflow setup.
Quality Gate Mechanism: The project not only focuses on "generating the video" but also incorporates quality checks as part of the workflow, constraining the production process through clear quality gates, allowing Agents to output results closer to what can be reviewed and delivered.
Overall, Digital Human Video Production is more suitable for scenarios that require bulk and standardized production of product introduction or marketing videos. It addresses not just how to generate a single video, but how to distill AI video production into a set of engineering processes that can be executed repeatedly across brands and projects.
GitHub: https://github.com/jaxxchen003/digital-human-video-production
Digital Human Video Production is a general video production Skill aimed at Codex and local AI creative workflows. Its goal is not merely to generate a segment of digital human narration, but to combine product briefs, pre-approved voiceovers, digital or real human narration materials, actual product footage, and animations into a reusable production process, ultimately producing a video that can be directly delivered.
One interesting aspect of this project is that it does not hardcode a specific brand, advertisement script, or visual style into the Skill. The product facts, copy, brand colors, fonts, image and video materials, and supplier parameters used in specific projects are all kept in the corresponding project directory; the GitHub repository itself focuses on preserving reusable methods, rules, scaffolding, and quality gates. This way, the same Skill can be repeatedly applied to different products and brand video projects.
In other words, it is more like preparing a set of "video production SOP" for Codex. AI does not just randomly generate videos based on a single prompt, but organizes multiple video production stages that originally required manual linking into a more stable and repeatable workflow according to clear input materials, production rules, and inspection standards.
Software Features
General Skill for Codex: Organizes the video production process into a Skill that Agents can understand and execute, allowing tools like Codex to participate in the complete video production workflow.
Product Brief Driven: Can organize video production around the product information provided by the project, while keeping specific product facts on the project side, avoiding hardcoding specific product information into the general Skill.
Use of Approved Voiceovers: The workflow emphasizes using confirmed copy and voiceover content for production, reducing the risk of arbitrarily modifying core marketing information during the generation process.
Digital and Real Human Narration: The workflow can incorporate both digital human narration and real human narration materials, not binding the entire production process to a single character generation solution.
Integration of Real Product Footage: In addition to the narrating character, real product materials can also be included in the video, allowing the product shots to align with the narration content, making the final result closer to an actual deliverable product video.
Animation Composition: Capable of incorporating different components such as narration, product footage, and animations into a unified production process, rather than just outputting a simple Talking Head video.
Decoupling Brand and Workflow: The Skill does not bind to specific brands, scripts, pages, or visual systems. Brand-related information such as colors, fonts, copy, and media materials are all provided by specific projects, making it easier to reuse across different clients and products.
Projectization of Supplier Parameters: Parameters related to specific service providers can also be placed in the project directory, with the general repository mainly maintaining production methods, eliminating the need to redesign the entire Skill due to project or supplier changes.
Reusable Video Scaffolding: The repository retains a general video production structure and execution rules, allowing new projects to start production directly based on existing scaffolding, reducing the time spent on repetitive workflow setup.
Quality Gate Mechanism: The project not only focuses on "generating the video" but also incorporates quality checks as part of the workflow, constraining the production process through clear quality gates, allowing Agents to output results closer to what can be reviewed and delivered.
Overall, Digital Human Video Production is more suitable for scenarios that require bulk and standardized production of product introduction or marketing videos. It addresses not just how to generate a single video, but how to distill AI video production into a set of engineering processes that can be executed repeatedly across brands and projects.
Download Address
GitHub: https://github.com/jaxxchen003/digital-human-video-production
