Video Generation
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
Canonical VideoStudio review authorization and state-transition policy.
$ npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Orkas-AI/Orkas-VideoStudio gate-control --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Orkas-AI/Orkas-VideoStudio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/skills/gate-control .claude/skills/gate-control && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "gate-control" agent skill from https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/gate-control into .claude/skills/gate-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gate-control", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/gate-controlType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Orkas-AI/Orkas-VideoStudio gate-control --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Orkas-AI/Orkas-VideoStudio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/skills/gate-control .agents/skills/gate-control && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "gate-control" agent skill from https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/gate-control into .agents/skills/gate-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gate-control", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Orkas-AI/Orkas-VideoStudio gate-control --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Orkas-AI/Orkas-VideoStudio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/skills/gate-control .cursor/skills/gate-control && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "gate-control" agent skill from https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/gate-control into .cursor/skills/gate-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gate-control", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Orkas-AI/Orkas-VideoStudio.git --path packages/skills/gate-control--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Orkas-AI/Orkas-VideoStudio gate-control --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Orkas-AI/Orkas-VideoStudio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/skills/gate-control .gemini/skills/gate-control && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "gate-control" agent skill from https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/gate-control into .gemini/skills/gate-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gate-control", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Orkas-AI/Orkas-VideoStudio gate-controlInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Orkas-AI/Orkas-VideoStudio.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/skills/gate-control .github/skills/gate-control && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "gate-control" agent skill from https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/gate-control into .github/skills/gate-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gate-control", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Orkas-AI/Orkas-VideoStudio gate-control --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Orkas-AI/Orkas-VideoStudio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/skills/gate-control .opencode/skills/gate-control && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "gate-control" agent skill from https://github.com/Orkas-AI/Orkas-VideoStudio/tree/main/packages/skills/gate-control into .opencode/skills/gate-control/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "gate-control", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
gate-controlCanonical VideoStudio review authorization and state-transition policy.
Gate Control is an agent skill from Orkas-AI/Orkas-VideoStudio. Canonical VideoStudio review authorization and state-transition policy. Use after any Gate B/C/Preview/D decision, post-gate revision, resumed approval, or exhausted visual-QA result across COMPOSE/AUTO/GENERATE/EDIT; maps explicit user authority and durable artifact state to one next action with ovs gate transition. Do not use for ordinary planning or craft decisions before a gate exists.
Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/assembled-productions.md`).
It sits in Media & Creative, covering Visual regression testing and AI video generation. The repository describes itself as: Turn your coding agent into a video studio: describe a video in plain language, and your agent writes the timeline and produces the file. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c0c3c3e. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Gate Control loads about 2.7k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 1,385 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Orkas-AI/Orkas-VideoStudio at commit c0c3c3e, republished under its MIT licence (© Orkas-AI). 1,385 words, ~2,680 tokens.
.claude/skills/gate-control/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.This is the single authorization policy for every VideoStudio production line. Line skills own artifacts and production craft; they do not invent a second confirmation or recovery state machine.
Resolve the next operation from current facts—plan identity, artifact identity, narration materialization, paid-attempt facts, QA evidence, and explicit user authority—not from a monotonic stage rank. Preview/snapshot work may continue while required narration is missing; complete draft/final delivery may not. Stop the execution horizon at any operation whose returned evidence decides the next branch.
Gate-B identity is the normalized production-intent projection. Stable copy, timing, language, references, provider settings, and voice selection remain approval-bearing; execution-only fields such as produced paths/status and provider catalog display labels do not. Unknown plan fields remain signed so new semantics cannot bypass review.
The names below are internal protocol identifiers. In normal user-facing headings and decisions, use plain localized names instead:
| Internal identifier | English | Simplified Chinese |
|---|---|---|
| Gate A | Direction confirmation | 制作方向确认 |
| Gate B | Production plan confirmation | 制作方案确认 |
| Gate C | Paid generation confirmation | 付费素材生成确认 |
| HTML Preview | Keyframe preview | 关键帧预览 |
| Gate D | Final video confirmation | 成片确认 |
Keep Gate A/B/C/D and HTML Preview for tool calls, stored state, and technical diagnostics only. Choose the production language from an explicit user request first, then the current UI/user language when known, otherwise English. Normalize Chinese to zh-CN, English to en, Japanese to ja, Portuguese to pt-BR, and unsupported languages to en; once submitted, keep that choice locked unless the user explicitly changes it.
Every gate shows the current artifact, a concise next-action/cost/QA note, one decision request, and then stops. A new turn, question, or unrelated message is not approval.
| Gate | Required artifact | Stable decision field | Approval authorizes |
|---|---|---|---|
| Gate B | canonical composition manifest or plan.json summary, including narration profile | gate_b_decision | production from that exact plan |
| Gate C | exact billable segment count and exact provider settings | gate_c_decision | those generation calls only |
| HTML Preview | current contact sheet | preview_decision | ovs draft for that preview |
| Gate D | draft video plus QA headline | gate_d_decision | high-quality finalization of that draft |
Decision values are approve and revise; keep free-text adjustments separate. Gate A locks the creative brief but does not authorize production, paid work, rendering, or final delivery.
Gate C is one batch-level decision. A pending or failed paid request is not reusable authority for another request: a user-requested retry needs a fresh Gate C and a new output path. Do not interleave per-shot confirmations.
revise authorizes editing the displayed artifact within the requested scope and any required non-billable restart of its visual-QA cycle.approve authorizes only the displayed artifact and next transition.visual_recovery_decision=new_visual_revision input remains consumable for old clients, but must not be emitted in a new task.When production or rendering tools are explicitly unavailable, return a clearly unexecuted production package for an otherwise clear brief: assumptions, complete narration/script, timed storyboard, exact visible copy/captions, visual/audio and rights-safe asset plan, export target, preview checklist, and final playback/encoding QA. Do not claim files exist or withhold the package behind a direction form.
After a gate submission, a post-gate edit, a resumed turn with prior approval, or a visual-revision error:
line: compose, auto, generate, or edit.artifact: composition for COMPOSE (and AUTO child compositions), otherwise production.visual_only: HTML/CSS/SVG/layout/motion/palette/assets; no approved wording, timing, language, narration, delivery, source mapping, role, or provider-setting change.gate_b_payload: approved copy/casing/punctuation, timing, language, narration, delivery, source mapping, semantic roles, or signed provider intent.unknown: inspect the requested files before asking a technical question.available, not_available, or unknown. This selects internal control flow, not a new form.ovs gate transition and obey next_action, form, allowed_ops, and prohibited_ops.Always invoke the resolver through the public ovs gate transition command (or the equivalent gate_transition MCP tool). Never execute a resolver by referencing an installed skill or Marketplace path directly.
Pass only the decision field present in the current user submission. Never combine a current --decision with a cached --recovery-decision.
ovs gate transition \
--line compose \
--artifact composition \
--gate gate_d \
--decision revise \
--scope visual_only \
--recovery not_availablePass --origin user|model|unknown for signed amendments, from the actual current user reply. Mixed user instructions plus additional model proposals use model. This pure resolver trusts caller-supplied facts; it does not verify chat history or record approvals. Optional evidence inputs are --error-code, --artifact-state, and --approval-status. --recovery-decision is backward-compatible input for an already-visible old form only. Use unknown when evidence is missing; never guess available.
visual_only revision with recovery not_available goes directly to a localized edit and deterministic QA. It emits no recovery question.available still emits no form: make the localized edit, then use ovs check, ovs snapshot, and ovs draft. OVS automatically starts a fresh persisted repair cycle after the authored content signature changes.gate_b_payload revision originating from a model proposal creates exactly one Gate B amendment. A current user-specified change uses --origin user: apply and validate exactly that change without asking for the same instruction again. Its approved signature starts a fresh QA cycle, so recovery from the old signature is irrelevant and must not be combined into the form.E_VISUAL_REVISION_EXPLICIT_AUTHORIZATION_REQUIRED never justifies a form. With recovery unknown, query status; with recovery available and no current revise decision, report the blocker and wait for the next real revision request.ovs check and ovs snapshot, then encode the revised final; do not ask for production-plan confirmation again or repeat TTS/generation unless the requested scope changes signed content or provider intent.For a Gate B amendment, apply only the approved bounded patch, revalidate the changed plan/artifact, then continue through the real Preview/Gate D path. A current Gate B approval wins over cached approval for the old signature. Do not promise an immediate render when a newly materialized preview still needs review.
Status checks, plan bookkeeping, advisory QA, repair passes that remain, QA-cycle restart, and tool misuse errors never create a gate. Never emit visual_recovery_decision in new VideoStudio output.
A pending decision is not permission to ask it again. At a stop, show the complete current artifact once, invite the user's changes or go-ahead, then wait. A numbered choice or paraphrase of a displayed option is a decision; mixed approval plus edits means revise. Never use a new turn or a stale reply as approval.
Before COMPOSE plan confirmation, write only the canonical composition manifest and run free narration fit for its spoken windows. Script/shotlist files are legacy optional evidence, not a second required plan. Direction choice comes before authoring that manifest. For a fully specified one-shot deterministic edit, probe and execute the user's operation directly.
After two non-converging repair passes, show the current artifact, the visible unresolved problem and concrete directions for the user to choose. Do not silently create another repair cycle, delete QA state, or treat exhaustion as an unlimited retry. A real requested revision authorizes a bounded new attempt. Do not expose internal counters in ordinary user-facing text.
For AUTO, read assembled productions before preview or a child revision. For narration uncertainty, preserve the existing output, request identity and provider outcome. A failed or unknown billable request does not authorize another charge; present the concrete retry choice when new authorization is needed.
© Orkas-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in packages/skills/gate-control of Orkas-AI/Orkas-VideoStudio.
Open the folder on GitHubat commit c0c3c3e
Gate Control next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Gate Control this skillOrkas-AI/Orkas-VideoStudio | 498 | — | ~2.7k | Automated safety check: Pass | MIT | |
| Video Generationbytedance/deer-flow | 84k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Video Cover Imageitwanger/toBeBetterJavaer | 18k | — | ~3.3k | Automated safety check: Pass | None | |
| Seedancesongguoxs/seedance-prompt-skill | 2.9k | 1 repos | ~2.5k | Automated safety check: Pass | None | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 59k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Lanshu Create AI Presenter Videocclank/lanshu-create-ai-presenter-video | 2.6k | — | ~3.6k | Automated safety check: Pass | MIT |
bytedance/deer-flow
Generates short videos from a structured JSON prompt, optionally guided by a reference image used as the first or last frame.
itwanger/toBeBetterJavaer
Generate matched 3:4, 16:9, and 4:3 short-video cover images from toBeBetterJavaer video scripts or AI/Java technical topics.
songguoxs/seedance-prompt-skill
This skill should be used when the user asks to "generate video prompts", "create Seedance prompts", "write video descriptions", mentions "Seedance", "seedance", "即梦", "即梦平台", "视频提示词", "视频生成"…
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
cclank/lanshu-create-ai-presenter-video
Turn a topic or finished script into a complete, publish-ready explainer video — led by an AI presenter from an authorized adult presenter image, or performed in one of nine visual explainer styles…
eternityspring/reelbench-skills
拉片:把一条成片拆成逐镜头的分析表——每个镜头的时长、景别、类别、运镜、画面. An agent skill from eternityspring/reelbench-skills.
Orkas-AI/Orkas-VideoStudio
Authoring knowledge for Orkas/OVS HTML video compositions -- write an index.html, drive animation from a paused timeline, declare canvas + duration, then run the VideoStudio draft gate to render an…
Orkas-AI/Orkas-VideoStudio
Intelligent editing of real user-supplied footage—understand it with transcript/inspected-frame/scene/silence/quality evidence, then choose deterministic timeline operations or a constrained…
Orkas-AI/Orkas-VideoStudio
Multi-shot narrative & character consistency — a character bible with a locked front-portrait anchor, view-matched reference selection, recent-frame carry-forward, Cameo (a user photo as the lead)…
Orkas-AI/Orkas-VideoStudio
The "ingest + plan" half of end-to-end video orchestration — ingest the user's material from evidence, then decompose intent into ONE cross-modal EDL (plan.json: edit/generate/compose/provided…
Orkas-AI/Orkas-VideoStudio
Aesthetic direction for OrkasVideoStudio HTML and motion-graphics compositions.
Orkas-AI/Orkas-VideoStudio
The craft standard that makes a video GOOD, not just rendered — hooks, story pacing, visual hierarchy, type & safe zones, motion/easing, captions, audio mix, platform conventions, shot language…
Categories
Canonical VideoStudio review authorization and state-transition policy. Gate Control is an agent skill from Orkas-AI/Orkas-VideoStudio. Canonical VideoStudio review authorization and state-transition policy.
Gate Control fits situations like: ordinary planning; craft decisions before a gate exists.
Run `npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a claude-code`. Or copy the skill folder (packages/skills/gate-control in Orkas-AI/Orkas-VideoStudio) into .claude/skills/gate-control in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a codex`. Or copy the skill folder (packages/skills/gate-control in Orkas-AI/Orkas-VideoStudio) into .agents/skills/gate-control in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Orkas-AI/Orkas-VideoStudio --skill gate-control -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gate-control, .gemini/skills/gate-control, .github/skills/gate-control and .opencode/skills/gate-control in your project.
SKILL.md names no scripts, command-line tools or credentials: Gate Control is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Gate Control is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 316 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Gate Control: Video Generation (bytedance/deer-flow, 84k stars), Video Cover Image (itwanger/toBeBetterJavaer, 18k stars), Seedance (songguoxs/seedance-prompt-skill, 2.9k stars) and HyperFrames Video Entry Point (heygen-com/hyperframes, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Orkas-AI (a GitHub user) maintains it in Orkas-AI/Orkas-VideoStudio, which has 498 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 22, 2026.
Source: Orkas-AI/Orkas-VideoStudio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.