Clipmivo Video
BarneyD66/clipmivo-tools
Create and manage AI video tasks through ClipmivoAI using its MCP server, CLI or REST API.
在痕迹AI修图、调色、抠出或选中主体、移除物体、修补瑕疵、编辑图层与蒙版、导出图片或流转图片产物时使用。视频时间线与成片用 video-edit-workbench；写代码画面用 video-edit-code-creation。
Install Image Edit Workbench
$ npx skills add henjicc/Henji-AI --skill image-edit-workbench -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install henjicc/Henji-AI image-edit-workbench --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/henjicc/Henji-AI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/resources/assistant-skills/image-edit-workbench .claude/skills/image-edit-workbench && 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 "image-edit-workbench" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/image-edit-workbench into .claude/skills/image-edit-workbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-edit-workbench", 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/henjicc/Henji-AI/tree/main/resources/assistant-skills/image-edit-workbenchType 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 henjicc/Henji-AI --skill image-edit-workbench -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install henjicc/Henji-AI image-edit-workbench --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/resources/assistant-skills/image-edit-workbench .agents/skills/image-edit-workbench && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-edit-workbench" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/image-edit-workbench into .agents/skills/image-edit-workbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-edit-workbench", 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 henjicc/Henji-AI --skill image-edit-workbench -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install henjicc/Henji-AI image-edit-workbench --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/resources/assistant-skills/image-edit-workbench .cursor/skills/image-edit-workbench && 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 "image-edit-workbench" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/image-edit-workbench into .cursor/skills/image-edit-workbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-edit-workbench", 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/henjicc/Henji-AI.git --path resources/assistant-skills/image-edit-workbench--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 henjicc/Henji-AI --skill image-edit-workbench -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install henjicc/Henji-AI image-edit-workbench --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/resources/assistant-skills/image-edit-workbench .gemini/skills/image-edit-workbench && 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 "image-edit-workbench" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/image-edit-workbench into .gemini/skills/image-edit-workbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-edit-workbench", 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 henjicc/Henji-AI image-edit-workbenchInstalls 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 henjicc/Henji-AI --skill image-edit-workbench -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .github/skills && cp -r skills-src/resources/assistant-skills/image-edit-workbench .github/skills/image-edit-workbench && 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 "image-edit-workbench" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/image-edit-workbench into .github/skills/image-edit-workbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-edit-workbench", 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 henjicc/Henji-AI --skill image-edit-workbench -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install henjicc/Henji-AI image-edit-workbench --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/henjicc/Henji-AI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/resources/assistant-skills/image-edit-workbench .opencode/skills/image-edit-workbench && 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 "image-edit-workbench" agent skill from https://github.com/henjicc/Henji-AI/tree/main/resources/assistant-skills/image-edit-workbench into .opencode/skills/image-edit-workbench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-edit-workbench", 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
image-edit-workbench- GitHub stars
- 254
- Token cost
- ~502 tokens
- SKILL.md length
- 78 words
- Files
- 5 (incl. references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
在痕迹AI修图、调色、抠出或选中主体、移除物体、修补瑕疵、编辑图层与蒙版、导出图片或流转图片产物时使用。视频时间线与成片用 video-edit-workbench；写代码画面用 video-edit-code-creation。
- Works in 6 steps: 从宿主或 list_documents 确认来源与目标，用… → 参数、图层与组的读改增删走… → 选区与作品修改进入图片文档同一撤销历史，移除/修补一次提交一次撤销。保留原引用与结… → …
- Tasks that involve AI video generation
- SKILL.md covers 总原则, 铁律：只约束真实契约, 按需读取 and 工作流程
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Image Edit Workbench is an agent skill from henjicc/Henji-AI. 在痕迹AI修图、调色、抠出或选中主体、移除物体、修补瑕疵、编辑图层与蒙版、导出图片或流转图片产物时使用。视频时间线与成片用 video-edit-workbench；写代码画面用 video-edit-code-creation。
Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/adjust.md`, `references/layers-export.md` and `references/repair.md`).
It sits in Media & Creative, covering AI video generation. It works with Model Context Protocol. The repository describes itself as: 痕迹AI - 一个软件用上各种AI！聚合多家供应商，一站式生成图片、视频和音频. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve AI video generation
Example prompts
- “/image-edit-workbench”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 从宿主或 list_documents 确认来源与目标，用 describe_application_entities、list_application_entities、read_application_entity 取得完整引用和实例可用性。引用来自返回值，不猜…
- 参数、图层与组的读改增删走 change_application_entities 的 set_properties、create_items、remove_items；分割、应用选区、移除和修补走算法能力。内置 Pi 缺工具用 load_application_tools…
- 选区与作品修改进入图片文档同一撤销历史，移除/修补一次提交一次撤销。保留原引用与结果；公开目录没有 V3 图片专用撤销工具，不借用标注撤销工具。撤销入口以当前宿主实际提供的路径为准，不能声称已撤回未执行的操作。
- 外部 MCP 写入带 operationId，删除还需相关目标与父集合读取返回的 baselineIds。未知结果用 get_application_operation 查原操作；修改保留但保存失败用…
- 本地算法不等于云端付费生成；首次可能下载模型，占用网络与磁盘。遵守当前下载、取消与权限边界，不擅自删除模型。需要云端生成时走正式费用审批，不代替用户批准，不以重新付费掩盖保存失败。
- 改完回读结构并取回结果图核对。read_application_media 只读已落盘的 asset、生成结果或画布节点，不能直接传图片工作文档/选区。按图层与交付取得真实结果引用；内置 Pi 可用 observe_application_surface…
What it can do on your machine
Read from SKILL.md and the folder at commit 1019cf2. 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.
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
Image Edit Workbench loads about 502 tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 34 tokens; SKILL.md has 78 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
The full file from henjicc/Henji-AI at commit 1019cf2, republished under its Apache-2.0 licence (© henjicc). 78 words, ~502 tokens.
Download SKILL.mdSave it as
.claude/skills/image-edit-workbench/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- image-edit-workbench
- description
- 在痕迹AI修图、调色、抠出或选中主体、移除物体、修补瑕疵、编辑图层与蒙版、导出图片或流转图片产物时使用。视频时间线与成片用 video-edit-workbench；写代码画面用 video-edit-code-creation。
图片编辑：围绕意图完成可继续修改的作品
总原则
- 本技能给起点与判断依据，不规定风格，用户简报和偏好优先；审美数值是可突破的起点，实际写入仍遵守参数契约。
- 先看原图与用途，再决定全局调整、局部选区、修补或图层组织。人说目标，助手先做繁琐操作，人校正边缘、强度和取舍；已有明确授权就继续完成。
- 优先保留可编辑调整层、蒙版与原图。不要为一次局部修图重做整张作品或另建无关工程。
铁律：只约束真实契约
- 从宿主或
list_documents确认来源与目标，用describe_application_entities、list_application_entities、read_application_entity取得完整引用和实例可用性。引用来自返回值，不猜 ID，不把目录文档引用冒充图片工作文档引用。 - 参数、图层与组的读改增删走
change_application_entities的set_properties、create_items、remove_items；分割、应用选区、移除和修补走算法能力。内置 Pi 缺工具用load_application_tools按域加载，外部 MCP 从describe_application_contract发现；技能不增授权。 - 选区与作品修改进入图片文档同一撤销历史，移除/修补一次提交一次撤销。保留原引用与结果；公开目录没有 V3 图片专用撤销工具，不借用标注撤销工具。撤销入口以当前宿主实际提供的路径为准，不能声称已撤回未执行的操作。
- 外部 MCP 写入带 operationId，删除还需相关目标与父集合读取返回的 baselineIds。未知结果用
get_application_operation查原操作；修改保留但保存失败用retry_application_operation_save，originalOperationId 指向原调用，不重放修补或另换标识重试。 - 本地算法不等于云端付费生成；首次可能下载模型，占用网络与磁盘。遵守当前下载、取消与权限边界，不擅自删除模型。需要云端生成时走正式费用审批，不代替用户批准，不以重新付费掩盖保存失败。
- 改完回读结构并取回结果图核对。
read_application_media只读已落盘的 asset、生成结果或画布节点，不能直接传图片工作文档/选区。按图层与交付取得真实结果引用；内置 Pi 可用observe_application_surface看当前应用并实际读取图像，外部 MCP 不开放该截图。没看到像素就写明未做视觉验证。
按需读取
用 load_assistant_skill，name 为 image-edit-workbench；省略 path 读入口，每步只读相关参考。
| 当前任务 | 参考 |
|---|---|
| 曝光、白平衡、曲线、色轮、HSL、LUT、局部调色 | 调整 |
| 框选、套索、画笔、组合、羽化、主体/人像和候选消歧 | 选区 |
| 移除杂物、指定干净来源修补、质量选择与模型下载 | 修复 |
| 图层/组/蒙版/混合、结果读取、导出与跨工作区 | 图层与交付 |
工作流程
- 读简报与现状：用途、保留内容、允许改动、输出与风格已有信息直接复用；读原图、图层关系与色彩模式。画布节点从自身编辑器进入，独立来源用正式图片编辑入口。
- 做可编辑结果：全局用调整层，局部先选区再蒙版；抠出主体用蒙版或复制，移除物体用修复。参数与引用依赖刚创建的返回值时才分调用。
- 检查与返修：整体看明暗和构图，局部看发丝、污染边缘、重复纹理、接缝与透明区域；错误选区先修边，纹理不对换质量或来源。用户已授权直接做完时不追加确认闸门。
- 交付：回读保存事实和真实结果，按用户用途保留文档或输出图片；能直接流转就使用正式桥梁。说明结果、可继续修改内容与未验证边界。
© henjicc, Apache-2.0. 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 4 other files (references) in resources/assistant-skills/image-edit-workbench of henjicc/Henji-AI.
- SKILL.md
- references/adjust.md
- references/layers-export.md
- references/repair.md
- references/select.md
Open the folder on GitHubat commit 1019cf2
Compare with similar skills
Image Edit Workbench 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 |
|---|---|---|---|---|---|---|
| Image Edit Workbench this skillhenjicc/Henji-AI | 254 | — | ~502 | Automated safety check: Pass | Apache-2.0 | |
| Clipmivo VideoBarneyD66/clipmivo-tools | 142 | — | ~945 | Automated safety check: Pass | MIT | |
| ComfyUI Local DriverSlavaSexton/ComfyUI-Agent-Kit | 105 | — | ~12k | Automated safety check: Pass | Apache-2.0 | |
| Generate VideoArcReel/ArcReel | 5.4k | — | ~1.3k | Automated safety check: Warn | AGPL-3.0 | |
| Generate StoryboardArcReel/ArcReel | 5.4k | — | ~816 | Automated safety check: Pass | AGPL-3.0 | |
| Manage ProjectArcReel/ArcReel | 5.4k | — | ~1.6k | Automated safety check: Pass | AGPL-3.0 |
Similar skills
ComfyUI Local Driver
SlavaSexton/ComfyUI-Agent-Kit
Drives a local ComfyUI install over its HTTP API to generate and edit images, video and audio, with per-model prompt recipes and workflow guidance.
Generate Video
ArcReel/ArcReel
为分镜或自包含视频单元生成视频。当用户要求生成或重做视频时使用；支持整集、单项与批量自选. An agent skill from ArcReel/ArcReel.
Generate Storyboard
ArcReel/ArcReel
为分镜生成分镜图。当用户说"生成分镜"、"预览分镜画面"、想重新生成某些分镜图、或剧本中有分镜缺少分镜图时使用。自动保持角色和画面连续性。
Manage Project
ArcReel/ArcReel
项目管理工具集。使用场景：新增/修改角色/场景/道具到 project.json（经 patchproject 工具，按 table+name upsert）、级联重命名资产（renameasset 工具）、合并同一身份被重复登记的资产（mergeasset 工具）、写顶层 settings 字段、编辑项目概述…
Check
ffroliva/gflow-cli
Auto-fix lint and formatting, then report types and tests. An agent skill from ffroliva/gflow-cli.
More from henjicc/Henji-AI
All 11 skills in this repoCanvas Node Builder
henjicc/Henji-AI
Henji-AI 画布（ReactFlow）新增/改造节点时使用。指导如何选择普通生成节点、节点内工具工作台、标准行拼装或纯展示节点，如何声明 CanvasNodeDefinition，以及如何让遮罩、打光、镜头等特殊交互各自不同但保持统一骨架。普通模型 schema 会被标准生成节点自动读取；只改供应商、模型参数、显隐、计价或请求构建时不使用本 skill。
Henji Application Capability
henjicc/Henji-AI
为 Henji-AI 新增、修改或迁移应用能力，并完成内置 Pi 与现代 MCP 的同源适配。新增工作区、页面、浮层或工具入口、用户数据、设置、业务操作、长任务、稳定引用、权限、宿主上下文、能力搜索，或清理旧 HostCommand/HostQuery/Agent 工具时使用；纯样式、布局、文案和不改变业务能力的组件调整不使用本 skill。
Henji UI Surface
henjicc/Henji-AI
Henji-AI 新建或改造任何界面/页面骨架/面板/弹窗/侧栏/设置分区/节点 UI，或调整按钮层级、分隔线、颜色、图标、毛玻璃、动画、层级时使用。主文件涵盖“石墨”设计系统速览（主题引擎与语义令牌、按钮五档默认静默、淡强调底选中态、尺寸档位）、页面骨架的横向条带上限与命令带、表面层级（surface/elevation）铁律、五级容器词汇表、分隔线准入、选项集合静息态与选中态词汇表、必须复用…
Henji Model Adaptation
henjicc/Henji-AI
面向 Henji-AI 的模型与供应商调研、文档整理、参数体验和适配工作流。用于“新增供应商”“给现有供应商新增模型”“模型和供应商都要新增”“核查 API/价格/平台别名”“校对参数顺序、通用交互、隐藏参数或默认请求值”这类需求；先输出确认清单，用户确认后再实施。普通模型 schema 会被标准画布节点自动读取，不因模型会出现在画布里而自动触发节点开发。
Video Edit Code Creation
henjicc/Henji-AI
在剪辑里设计、编写或修改代码素材（动态图形、标题、花字、模板、滤镜），统一风格、编排动画、放入时间线并取帧审查时使用。普通剪辑、媒体生成和进度查询不触发。
Video Edit Workbench
henjicc/Henji-AI
在痕迹AI剪辑工作台做粗剪、整理时间线、节奏、字幕、配乐与音量、响度、调色、转场、多机位、竖版改画幅、导出，或把生成、画布、图片文档、口播产物放进剪辑及把剪辑帧送到其他工作区时使用。写代码画面用 video-edit-code-creation；单独写代码素材不触发本技能。
Related
Works with
Categories
Questions about Image Edit Workbench
What does Image Edit Workbench do?
在痕迹AI修图、调色、抠出或选中主体、移除物体、修补瑕疵、编辑图层与蒙版、导出图片或流转图片产物时使用。视频时间线与成片用 video-edit-workbench；写代码画面用 video-edit-code-creation。. Image Edit Workbench is an agent skill from henjicc/Henji-AI.
When should I use Image Edit Workbench?
Image Edit Workbench fits situations like: tasks that involve AI video generation.
How do I install Image Edit Workbench in Claude Code?
Run `npx skills add henjicc/Henji-AI --skill image-edit-workbench -a claude-code`. Or copy the skill folder (resources/assistant-skills/image-edit-workbench in henjicc/Henji-AI) into .claude/skills/image-edit-workbench in your project. Claude Code loads it when a task matches its description.
How do I install Image Edit Workbench in Codex?
Run `npx skills add henjicc/Henji-AI --skill image-edit-workbench -a codex`. Or copy the skill folder (resources/assistant-skills/image-edit-workbench in henjicc/Henji-AI) into .agents/skills/image-edit-workbench in your project. Codex loads it when a task matches its description.
Can I use Image Edit Workbench 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 henjicc/Henji-AI --skill image-edit-workbench -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-edit-workbench, .gemini/skills/image-edit-workbench, .github/skills/image-edit-workbench and .opencode/skills/image-edit-workbench in your project.
What does Image Edit Workbench need to run?
SKILL.md names no scripts, command-line tools or credentials: Image Edit Workbench is instructions for the agent only.
Does Image Edit Workbench 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 Image Edit Workbench 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 Image Edit Workbench use?
Image Edit Workbench is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Image Edit Workbench use?
About 502 tokens (SKILL.md is roughly 2k 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 4.6k tokens, read only when the agent opens those files.
What are the alternatives to Image Edit Workbench?
Skills that share tags, products or a category with Image Edit Workbench: Clipmivo Video (BarneyD66/clipmivo-tools, 142 stars), ComfyUI Local Driver (SlavaSexton/ComfyUI-Agent-Kit, 105 stars), Generate Video (ArcReel/ArcReel, 5.4k stars) and Generate Storyboard (ArcReel/ArcReel, 5.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Edit Workbench?
henjicc (a GitHub user) maintains it in henjicc/Henji-AI, which has 254 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 9, 2026.
Source: henjicc/Henji-AI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.