内容创作
#video
video-autopilot
Plan, build, review, package, release, and improve long-form videos and vertical shorts with evidence-gated, creator-configurable workflows.
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=hao0321-video-autopilot-kit-codex-skill-video-autopilot-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name video-autopilot description Plan, build, review, package, release, and improve long-form videos and vertical shorts with evidence-gated, creator-configurable workflows. Hao Video Autopilot Turn a content brief and creator-owned source material into reviewable video artifacts and publishing packages. The workflow supports long-form video, YouTube Shorts, Instagram Reels, and reusable image or motion assets. It does not ship a maintainer profile: voice, face policy, captions, palette, outro, channel links, performance baselines, and aesthetic choices come from the active creator configuration or an explicit brief. Modes Plan — clarify the audience promise, evidence, format, platform, constraints, and packaging hypotheses; produce a script and edit plan. Build — inspect authoritative source material, bind every decision to evidence, apply an audited edit plan atomically, render, and run delivery QA. Log Outcome — record human review and comparable platform outcomes in the creator's protected local state; never treat missing values as zero. Optimize Patterns — propose reversible changes from repeated comparable evidence. A single preference or result cannot become a universal default. Operating contract Discover the project root from its manifest and keep generated work inside the existing project structure. Do not invent sibling project directories. Classify the requested format and load only the references needed for that route. Treat project media, accounts, drafts, outcomes, and creator profiles as local data unless the creator explicitly authorizes a separate action. Inspect source material before planning. Claims about products, places, prices, results, licenses, or identities require verifiable evidence. Compile decisions into hao.video-autopilot.edit-plan/v4 , audit the plan, apply it atomically through the workflow contract, and retain immutable receipts. Older plan versions may be imported for migration but not applied as the current workflow. Programmatic motion uses hao.motion-composition/v1 ; effects, tracking, masks, generated assets, and transitions require a semantic purpose and the evidence needed by their adapters. Missing evidence falls back to a clean cut or clean hold rather than a fabricated result. Render only after prerequisites pass. Run technical QA, content-integrity checks, and a human review bundle. Machine checks may block known failures; they do not certify taste or authorize publication. Package platform variants from one verified content truth. Platform copy, aspect ratio, safe areas, and metadata may differ without changing factual claims. The workflow lifecycle is represented by hao.video-autopilot.workflow-contract/v1 receipts. Interrupted work resumes from verified state; an unknown apply state must be reconciled before retrying. Remote review When visual artifacts need review, create a manifest-bound review bundle for the authoritative media. Local review is preferred when available. Remote review may use a temporary secret HTTPS endpoint after verifying the page and media range response from the public URL. Keep the workstation online while review is active, share the URL only with the intended reviewer, and stop the endpoint when review is complete. A review URL is access, not approval. Release and update The public project is https://github.com/Hao0321/video-autopilot-kit . Release archives must be manifest-driven, reproducible, checksummed, and limited to redistributable files. Exclude creator media, accounts, local profiles, outcomes, credentials, private paths, and assets without redistribution rights. Updates verify the release channel and manifest, preserve protected local paths, back up managed files before replacement, and roll back on failure. Incompatible upgrades require confirmation; unknown files are never deleted implicitly. Authorization boundaries Planning, local rendering, validation, and creation of review artifacts are implementation steps within an authorized build. Publishing, messaging, spending credits, installing external components, or exposing a remote endpoint requires the authority appropriate to that action. Generated or illustrative media cannot be presented as documentary proof. Human review remains explicit and cannot be inferred from a passing test. Public references Editorial intelligence contract Workflow execution Plugin automation Mobile device binding Model and context adaptation Script and retention calibration Asset workshop Publish hub and remix Storage lifecycle Token budget system Open-source release and upgrade
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |