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.
当用户要求把采用 JSON 提交后轮询协议的视频或图片供应商接入 ArcReel，或要求编写、验证、测试、保存自定义调用端点定义时使用。
Install Adapt Custom Endpoint
$ npx skills add ArcReel/ArcReel --skill adapt-custom-endpoint -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ArcReel/ArcReel adapt-custom-endpoint --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/ArcReel/ArcReel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent_runtime_profile/.claude/skills/adapt-custom-endpoint .claude/skills/adapt-custom-endpoint && 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 "adapt-custom-endpoint" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/adapt-custom-endpoint into .claude/skills/adapt-custom-endpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-custom-endpoint", 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/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/adapt-custom-endpointType 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 ArcReel/ArcReel --skill adapt-custom-endpoint -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ArcReel/ArcReel adapt-custom-endpoint --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent_runtime_profile/.claude/skills/adapt-custom-endpoint .agents/skills/adapt-custom-endpoint && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "adapt-custom-endpoint" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/adapt-custom-endpoint into .agents/skills/adapt-custom-endpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-custom-endpoint", 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 ArcReel/ArcReel --skill adapt-custom-endpoint -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ArcReel/ArcReel adapt-custom-endpoint --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent_runtime_profile/.claude/skills/adapt-custom-endpoint .cursor/skills/adapt-custom-endpoint && 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 "adapt-custom-endpoint" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/adapt-custom-endpoint into .cursor/skills/adapt-custom-endpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-custom-endpoint", 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/ArcReel/ArcReel.git --path agent_runtime_profile/.claude/skills/adapt-custom-endpoint--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 ArcReel/ArcReel --skill adapt-custom-endpoint -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ArcReel/ArcReel adapt-custom-endpoint --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent_runtime_profile/.claude/skills/adapt-custom-endpoint .gemini/skills/adapt-custom-endpoint && 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 "adapt-custom-endpoint" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/adapt-custom-endpoint into .gemini/skills/adapt-custom-endpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-custom-endpoint", 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 ArcReel/ArcReel adapt-custom-endpointInstalls 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 ArcReel/ArcReel --skill adapt-custom-endpoint -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent_runtime_profile/.claude/skills/adapt-custom-endpoint .github/skills/adapt-custom-endpoint && 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 "adapt-custom-endpoint" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/adapt-custom-endpoint into .github/skills/adapt-custom-endpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-custom-endpoint", 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 ArcReel/ArcReel --skill adapt-custom-endpoint -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ArcReel/ArcReel adapt-custom-endpoint --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ArcReel/ArcReel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent_runtime_profile/.claude/skills/adapt-custom-endpoint .opencode/skills/adapt-custom-endpoint && 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 "adapt-custom-endpoint" agent skill from https://github.com/ArcReel/ArcReel/tree/main/agent_runtime_profile/.claude/skills/adapt-custom-endpoint into .opencode/skills/adapt-custom-endpoint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "adapt-custom-endpoint", 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.
Facts
- Skill name
adapt-custom-endpoint- GitHub stars
- 5.4k
- Token cost
- ~413 tokens
- SKILL.md length
- 123 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
当用户要求把采用 JSON 提交后轮询协议的视频或图片供应商接入 ArcReel，或要求编写、验证、测试、保存自定义调用端点定义时使用。
- Works in 7 steps: 读取用户提供的供应商文档 URL；无法读取时请用户粘贴提交、查询任务与响应示例。 → 需要编写或修正定义时读取定义格式，在工作目录创建定义 JSON、 → 运行当前 skill 目录下的… → …
- Tasks that involve AI video generation
- SKILL.md covers 工作流 and 连接
- Runs Python scripts from its folder; needs ARCREEL_API_TOKEN
What it does
Adapt Custom Endpoint is an agent skill from ArcReel/ArcReel. 当用户要求把采用 JSON 提交后轮询协议的视频或图片供应商接入 ArcReel，或要求编写、验证、测试、保存自定义调用端点定义时使用。
Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/definition-format.md` and `scripts/custom_endpoint.py`).
It sits in Media & Creative, covering AI video generation. The repository describes itself as: AI Agent 驱动的开源可自部署视频工作台：将小说与剧本转为角色、场景、道具资产、分镜、视频和剪映草稿，支持跨镜头一致性、多供应商与费用追踪 | Self-hosted AI video workspace for stories, storyboards and short-form video production. The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve AI video generation
Example prompts
- “/adapt-custom-endpoint”
Requirements
- Python 3
- A credential in ARCREEL_API_TOKEN
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- 读取用户提供的供应商文档 URL；无法读取时请用户粘贴提交、查询任务与响应示例。
- 需要编写或修正定义时读取定义格式，在工作目录创建定义 JSON、
- 运行当前 skill 目录下的 scripts/custom_endpoint.py，用 validate 子命令校验。
- 对供应商的提交与轮询响应分别运行 check-response；定义包含 result 时也检查取件响应。
- 运行 preview-request，核对 URL、method、打码后的 headers、body 与素材摘要。定义有必需素材时，
- 测试连接会真实请求供应商并可能计费。调用前必须回问用户。 获得明确同意后才运行
- 再次 validate。没有同血统端点时用 save 新建；有重复时默认另存副本并告知用户。
What it can do on your machine
Read from SKILL.md and the folder at commit 08ab3b3. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ARCREEL_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Adapt Custom Endpoint loads about 413 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 23 tokens; SKILL.md has 123 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.
Safety
Auto-check passed
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); the scripts in this folder are not scanned.
SKILL.md
The full file from ArcReel/ArcReel at commit 08ab3b3, republished under its AGPL-3.0 licence (© ArcReel). 123 words, ~413 tokens.
Download SKILL.mdSave it as
.claude/skills/adapt-custom-endpoint/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- adapt-custom-endpoint
- description
- 当用户要求把采用 JSON 提交后轮询协议的视频或图片供应商接入 ArcReel，或要求编写、验证、测试、保存自定义调用端点定义时使用。
适配自定义调用端点
使用随 skill 提供的 scripts/custom_endpoint.py 调用 ArcReel HTTP API；共享 validator 和 API 是验证与保存定义的唯一入口。
工作流
- 读取用户提供的供应商文档 URL；无法读取时请用户粘贴提交、查询任务与响应示例。 确认协议属于 JSON 请求/响应的「提交后轮询」形态。签名鉴权、multipart 请求或按素材切换路由 无法由首期定义表达，直接说明缺口。
- 需要编写或修正定义时读取定义格式，在工作目录创建定义 JSON、
测试参数 JSON，以及供应商提供的真实响应样本。凭证优先引用 ArcReel 已保存的自定义供应商
provider_id；不得把 API Key 写入项目文件、命令参数或回复。 - 运行当前 skill 目录下的
scripts/custom_endpoint.py，用validate <definition.json>子命令校验。 修正到errors为空。schema_version.level非direct或仍有warnings时，修正或向用户说明接受的原因和影响；用hints准备测试所需的接口地址和模型。 - 对供应商的提交与轮询响应分别运行
check-response；定义包含result时也检查取件响应。 - 运行
preview-request，核对 URL、method、打码后的 headers、body 与素材摘要。定义有必需素材时， 用--start-image/--end-image/--reference-images/--reference-audio-files附上对应文件。 - 测试连接会真实请求供应商并可能计费。调用前必须回问用户。 获得明确同意后才运行
trial-run ... --confirm-cost（沿用预览时的素材参数），再用trial-status <run-id>查询到终态， 并转述请求、响应、取值与错误。状态为succeeded时继续；其他终态停止，只有用户明确要求保存未验证定义时才继续。 - 再次 validate。没有同血统端点时用
save新建；有重复时默认另存副本并告知用户。 只有覆盖既有端点必须回问用户；明确同意后才用save ... --endpoint-id <id> --confirm-overwrite。保存成功以返回ce-<id>为完成判据。
连接
在当前工作区根目录运行脚本。脚本读取 setup-arcreel-skills 创建的 .arcreel/settings.json，从
mcp_url 派生同实例的 /api/v1 地址，并用 api_key 鉴权；配置缺失或无效时先执行 setup skill，
不回退到 localhost。
设置 ARCREEL_EMBEDDED_AGENT=1 时，脚本优先使用 ARCREEL_API_BASE 与 ARCREEL_API_TOKEN；该 JWT
有效期 15 分钟且不续期，API 调用返回 401 时告知用户重开会话获取新 token。
AUTH_ENABLED=false 的本地部署可留空 token。
© ArcReel, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (scripts, references) in agent_runtime_profile/.claude/skills/adapt-custom-endpoint of ArcReel/ArcReel.
- SKILL.md
- references/definition-format.md
- scripts/custom_endpoint.py
Open the folder on GitHubat commit 08ab3b3
Compare with similar skills
Adapt Custom Endpoint 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 |
|---|---|---|---|---|---|---|
| Adapt Custom Endpoint this skillArcReel/ArcReel | 5.4k | — | ~413 | Automated safety check: Pass | AGPL-3.0 | |
| 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 |
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Questions about Adapt Custom Endpoint
What does Adapt Custom Endpoint do?
当用户要求把采用 JSON 提交后轮询协议的视频或图片供应商接入 ArcReel，或要求编写、验证、测试、保存自定义调用端点定义时使用。. Adapt Custom Endpoint is an agent skill from ArcReel/ArcReel.
When should I use Adapt Custom Endpoint?
Adapt Custom Endpoint fits situations like: tasks that involve AI video generation.
How do I install Adapt Custom Endpoint in Claude Code?
Run `npx skills add ArcReel/ArcReel --skill adapt-custom-endpoint -a claude-code`. Or copy the skill folder (agent_runtime_profile/.claude/skills/adapt-custom-endpoint in ArcReel/ArcReel) into .claude/skills/adapt-custom-endpoint in your project. Claude Code loads it when a task matches its description.
How do I install Adapt Custom Endpoint in Codex?
Run `npx skills add ArcReel/ArcReel --skill adapt-custom-endpoint -a codex`. Or copy the skill folder (agent_runtime_profile/.claude/skills/adapt-custom-endpoint in ArcReel/ArcReel) into .agents/skills/adapt-custom-endpoint in your project. Codex loads it when a task matches its description.
Can I use Adapt Custom Endpoint in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ArcReel/ArcReel --skill adapt-custom-endpoint -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adapt-custom-endpoint, .gemini/skills/adapt-custom-endpoint, .github/skills/adapt-custom-endpoint and .opencode/skills/adapt-custom-endpoint in your project.
What does Adapt Custom Endpoint need to run?
Going by SKILL.md and its folder, Adapt Custom Endpoint needs Python for the scripts in its folder and credentials named ARCREEL_API_TOKEN. Our summary lists: Python 3; A credential in ARCREEL_API_TOKEN.
Does Adapt Custom Endpoint access the network?
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.
Is Adapt Custom Endpoint safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Adapt Custom Endpoint use?
Adapt Custom Endpoint is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Adapt Custom Endpoint use?
About 413 tokens (SKILL.md is roughly 1.7k 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 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Adapt Custom Endpoint?
Skills that share tags, products or a category with Adapt Custom Endpoint: 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.
Who maintains Adapt Custom Endpoint?
ArcReel (a GitHub organization) maintains it in ArcReel/ArcReel, which has 5,399 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 9, 2026.
Source: ArcReel/ArcReel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.