Minimax Multimodal Toolkit
poco-ai/poco-claw
MiniMax multimodal model skill — use MiniMax Multi-Modal models for speech, music, video, and image.
内部技能，仅用于数字人 / VideoRetalk / 资产库角色口播视频链路中的 CosyVoice TTS 子步骤。普通 AI 聊天、普通音频、普通短视频、产品视频或广告视频请求不得直接调用本技能；这些视频请求必须先走 video-director。只有 video-director 已确认这是数字人口播，且需要把已批准的台词合成为角色驱动音频时，才可激活本技能。
Install Cosyvoice Ssml
$ npx skills add Jamailar/Beav --skill cosyvoice-ssml -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Jamailar/Beav cosyvoice-ssml --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/Jamailar/Beav.git skills-src && mkdir -p .claude/skills && cp -r skills-src/desktop/builtin-skills/cosyvoice-ssml .claude/skills/cosyvoice-ssml && 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 "cosyvoice-ssml" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/cosyvoice-ssml into .claude/skills/cosyvoice-ssml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosyvoice-ssml", 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/Jamailar/Beav/tree/main/desktop/builtin-skills/cosyvoice-ssmlType 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 Jamailar/Beav --skill cosyvoice-ssml -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Jamailar/Beav cosyvoice-ssml --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .agents/skills && cp -r skills-src/desktop/builtin-skills/cosyvoice-ssml .agents/skills/cosyvoice-ssml && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cosyvoice-ssml" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/cosyvoice-ssml into .agents/skills/cosyvoice-ssml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosyvoice-ssml", 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 Jamailar/Beav --skill cosyvoice-ssml -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Jamailar/Beav cosyvoice-ssml --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/desktop/builtin-skills/cosyvoice-ssml .cursor/skills/cosyvoice-ssml && 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 "cosyvoice-ssml" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/cosyvoice-ssml into .cursor/skills/cosyvoice-ssml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosyvoice-ssml", 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/Jamailar/Beav.git --path desktop/builtin-skills/cosyvoice-ssml--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 Jamailar/Beav --skill cosyvoice-ssml -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Jamailar/Beav cosyvoice-ssml --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/desktop/builtin-skills/cosyvoice-ssml .gemini/skills/cosyvoice-ssml && 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 "cosyvoice-ssml" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/cosyvoice-ssml into .gemini/skills/cosyvoice-ssml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosyvoice-ssml", 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 Jamailar/Beav cosyvoice-ssmlInstalls 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 Jamailar/Beav --skill cosyvoice-ssml -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .github/skills && cp -r skills-src/desktop/builtin-skills/cosyvoice-ssml .github/skills/cosyvoice-ssml && 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 "cosyvoice-ssml" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/cosyvoice-ssml into .github/skills/cosyvoice-ssml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosyvoice-ssml", 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 Jamailar/Beav --skill cosyvoice-ssml -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Jamailar/Beav cosyvoice-ssml --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/desktop/builtin-skills/cosyvoice-ssml .opencode/skills/cosyvoice-ssml && 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 "cosyvoice-ssml" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/builtin-skills/cosyvoice-ssml into .opencode/skills/cosyvoice-ssml/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cosyvoice-ssml", 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
cosyvoice-ssml- GitHub stars
- 1.8k
- Token cost
- ~4.9k tokens
- SKILL.md length
- 1,015 words
- Files
- 1
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
内部技能，仅用于数字人 / VideoRetalk / 资产库角色口播视频链路中的 CosyVoice TTS 子步骤。普通 AI 聊天、普通音频、普通短视频、产品视频或广告视频请求不得直接调用本技能；这些视频请求必须先走 video-director。只有 video-director 已确认这是数字人口播，且需要把已批准的台词合成为角色驱动音频时，才可激活本技能。
- Works in 10 steps: 合法 → 可朗读 → 有细颗粒度表演设计 → …
- Tasks that involve Text to speech and voice
- SKILL.md covers 技能激活语义, 可用模型, 最终输出格式 and 合格输出标准, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cosyvoice Ssml is an agent skill from Jamailar/Beav. 内部技能，仅用于数字人 / VideoRetalk / 资产库角色口播视频链路中的 CosyVoice TTS 子步骤。普通 AI 聊天、普通音频、普通短视频、产品视频或广告视频请求不得直接调用本技能；这些视频请求必须先走 video-director。只有 video-director 已确认这是数字人口播，且需要把已批准的台词合成为角色驱动音频时，才可激活本技能。
Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Text to speech and voice and AI video generation. It works with MiniMax and Xiaohongshu. The repository describes itself as: 小红书 AI 运营工作台｜小红书采集、评论区下载、素材库、选题、AI写作、小红书全域解决方案，开箱即用，一键安装，小红书AI工作台，自媒体素材库，AI写作+图片自动编排，小红书版OpenClaw、自媒体资产底座+AI工作台，支持小红书图文+小红书评论区下载、小红书AI创作工具、自媒体版WorkBuddy、抖音、小红书爬虫数据采集.
When your agent uses it
- Tasks that involve Text to speech and voice
- Tasks that involve AI video generation
Example prompts
- “/cosyvoice-ssml”
Workflow steps
10 steps, taken from the step headings in SKILL.md.
- 合法
- 可朗读
- 有细颗粒度表演设计
- 可执行
- 最小合格示例
- 判断文本类型
- 找出口播结构
- 逐句标注朗读意图
- 决定 参数和分块
- 判断是否允许不用 SSML
What it can do on your machine
Read from SKILL.md and the folder at commit f35befd. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are xml and json).
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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Cosyvoice Ssml loads about 4.9k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 1,015 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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,015 words (~4,907 tokens).
“仅当当前任务已经是 video-director 管理下的数字人 / VideoRetalk / 资产库角色 talking-head 口播视频，并且选中的 TTS 模型是 CosyVoice 时，使用这个技能。”
- name
- cosyvoice-ssml
- allowedRuntimeModes
- [chatroom, redclaw, image-generation]
- activationScope
- turn
- autoActivate
- false
- activationHint
- 内部技能。仅当当前轮已经由 `video-director` 判定为资产库角色数字人 / VideoRetalk / talking-head 口播视频，并且已确认台词、角色 voiceId 与参考视频，且 TTS 模型是 CosyVoice 系列时，才可调用 `Operate(resource="skills"…
- contextNote
- 这是数字人口播视频链路里的 CosyVoice SSML 子技能，不是通用短视频口播导演。技能激活不是文本转换工具，不会返回加工结果；只能在 video-director 的数字人 / VideoRetalk 子流程中，把已批准的角色台词拆成可表演的 CosyVoice TTS 片段。每个片段用 CosyVoice…
- maxPromptChars
- 32000
- hookMode
- inline
- hidden
- true
Files
Just SKILL.md in desktop/builtin-skills/cosyvoice-ssml of Jamailar/Beav.
Open the folder on GitHubat commit f35befd
Compare with similar skills
Cosyvoice Ssml 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 |
|---|---|---|---|---|---|---|
| Cosyvoice Ssml this skillJamailar/Beav | 1.8k | — | ~4.9k | Automated safety check: Pass | Custom licence | |
| Minimax Multimodal Toolkitpoco-ai/poco-claw | 1.4k | — | ~7.6k | Automated safety check: Pass | MIT | |
| Mmx CLIagentscope-ai/OpenJudge | 868 | 1 repos | ~655 | Automated safety check: Pass | Apache-2.0 | |
| Minimax StudioLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.9k | Automated safety check: Notes | MIT | |
| Wan Cover Pluswwwzhouhui/skills_collection | 282 | — | ~904 | Automated safety check: Pass | None | |
| Vox DirectorAlisa0808/vox-director | 2.2k | — | ~5.6k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Cosyvoice Ssml
What does Cosyvoice Ssml do?
内部技能，仅用于数字人 / VideoRetalk / 资产库角色口播视频链路中的 CosyVoice TTS 子步骤。普通 AI 聊天、普通音频、普通短视频、产品视频或广告视频请求不得直接调用本技能；这些视频请求必须先走 video-director。只有 video-director 已确认这是数字人口播，且需要把已批准的台词合成为角色驱动音频时，才可激活本技能。. Cosyvoice Ssml is an agent skill from Jamailar/Beav.
When should I use Cosyvoice Ssml?
Cosyvoice Ssml fits situations like: tasks that involve Text to speech and voice; tasks that involve AI video generation.
How do I install Cosyvoice Ssml in Claude Code?
Run `npx skills add Jamailar/Beav --skill cosyvoice-ssml -a claude-code`. Or copy the skill folder (desktop/builtin-skills/cosyvoice-ssml in Jamailar/Beav) into .claude/skills/cosyvoice-ssml in your project. Claude Code loads it when a task matches its description.
How do I install Cosyvoice Ssml in Codex?
Run `npx skills add Jamailar/Beav --skill cosyvoice-ssml -a codex`. Or copy the skill folder (desktop/builtin-skills/cosyvoice-ssml in Jamailar/Beav) into .agents/skills/cosyvoice-ssml in your project. Codex loads it when a task matches its description.
Can I use Cosyvoice Ssml 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 Jamailar/Beav --skill cosyvoice-ssml -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cosyvoice-ssml, .gemini/skills/cosyvoice-ssml, .github/skills/cosyvoice-ssml and .opencode/skills/cosyvoice-ssml in your project.
What does Cosyvoice Ssml need to run?
SKILL.md names no scripts, command-line tools or credentials: Cosyvoice Ssml is instructions for the agent only.
Does Cosyvoice Ssml 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 Cosyvoice Ssml 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. Review the folder before installing.
What licence does Cosyvoice Ssml use?
Cosyvoice Ssml has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Cosyvoice Ssml use?
About 4.9k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Cosyvoice Ssml?
Skills that share tags, products or a category with Cosyvoice Ssml: Minimax Multimodal Toolkit (poco-ai/poco-claw, 1.4k stars), Mmx CLI (agentscope-ai/OpenJudge, 868 stars), Minimax Studio (LeoYeAI/openclaw-master-skills, 2.2k stars) and Wan Cover Plus (wwwzhouhui/skills_collection, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cosyvoice Ssml?
Jamailar (a GitHub user) maintains it in Jamailar/Beav, which has 1,823 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 8, 2026.
Source: Jamailar/Beav on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.