SN Motion HTML
OpenSenseNova/SenseNova-Skills
Builds HTML stories where one continuous camera journey advances with page progress, using researched structure, AI stills, Seedance video clips and browser QA.
WorkRally CLI (workrally) — 面向 AI Agent 的 AIGC 漫剧视频创作全流程工具集。
$ npx skills add infometa/workbuddyskills --skill workrally -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills workrally --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/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/workrally .claude/skills/workrally && 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 "workrally" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/workrally into .claude/skills/workrally/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workrally", 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/infometa/workbuddyskills/tree/main/skills/workrallyType 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 infometa/workbuddyskills --skill workrally -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills workrally --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/workrally .agents/skills/workrally && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "workrally" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/workrally into .agents/skills/workrally/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workrally", 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 infometa/workbuddyskills --skill workrally -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills workrally --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/workrally .cursor/skills/workrally && 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 "workrally" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/workrally into .cursor/skills/workrally/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workrally", 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/infometa/workbuddyskills.git --path skills/workrally--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 infometa/workbuddyskills --skill workrally -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills workrally --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/workrally .gemini/skills/workrally && 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 "workrally" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/workrally into .gemini/skills/workrally/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workrally", 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 infometa/workbuddyskills workrallyInstalls 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 infometa/workbuddyskills --skill workrally -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/workrally .github/skills/workrally && 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 "workrally" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/workrally into .github/skills/workrally/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workrally", 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 infometa/workbuddyskills --skill workrally -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills workrally --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/workrally .opencode/skills/workrally && 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 "workrally" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/workrally into .opencode/skills/workrally/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "workrally", 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.
workrallyWorkRally CLI (workrally) — 面向 AI Agent 的 AIGC 漫剧视频创作全流程工具集。
Workrally is an agent skill from infometa/workbuddyskills. WorkRally CLI (workrally) — 面向 AI Agent 的 AIGC 漫剧视频创作全流程工具集。 支持 AI 生图、AI 生视频、项目管理、资产库、媒资管理、无限画布、文件上传下载等。 Use when user asks to generate images, generate videos, manage projects, upload files, download assets, manage materials, or interact with WorkRally platform via command line.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/ai-generation-guide.md`, `references/canvas-guide.md` and `references/common-pitfalls.md`).
It sits in Media & Creative, covering Image generation and AI video generation. The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study. The licence is MIT-0.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 75a5ad9. 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.
Shell commands in SKILL.md call:
npmFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
workrally.qq.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
WORKRALLY_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Workrally loads about 2.4k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 181 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 infometa/workbuddyskills at commit 75a5ad9, republished under its MIT-0 licence (© infometa). 181 words, ~2,419 tokens.
.claude/skills/workrally/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.面向 AI Agent 的 AIGC 漫剧视频创作全流程命令行工具,封装 WorkRally 平台 30+ 核心能力,支持项目/剧集/场次的完整 CRUD、AI 生图/生视频、画布、资产库、媒资管理、文件上传等。
npm install -g workrally
# 配置 API Key(三选一)
workrally auth login # 交互式登录(推荐)
workrally auth login --token <YOUR_API_KEY> # 命令行传入
export WORKRALLY_API_KEY=<YOUR_API_KEY> # 环境变量(仅推荐 CI/CD,Agent/子进程可能读不到 shell 配置)
# ↑ auth login 自动将 Token 写入配置文件:
# 若 WORKRALLY_CONFIG_DIR 已设置 → $WORKRALLY_CONFIG_DIR/config.json
# 否则 → ~/.workrally/config.json
workrally auth status # 验证登录状态API Key 申请:龙虾配置
# === 项目(project)— list / get / create / update(软删除无子命令,见下) ===
workrally project list [--search "关键词"] # 列出/搜索项目
workrally project get <id> # 项目详情
workrally project create "项目名" # 创建项目
workrally project update <id> --name "新名称" # 更新项目
workrally tools call project_delete --json-args '{"project_id":"<id>"}' # 软删除单个项目(→回收站)
# 批量:workrally tools describe project_delete # 使用 project_ids 数组
# === 剧集(series)— 全新命令组(CRUD 完整) ===
workrally series list --project-id <id> # 剧集列表
workrally series get <series_id> --project-id <id> # 剧集详情
workrally series create --project-id <id> --name "第一集" # 创建剧集
workrally series update <series_id> --project-id <id> --name "新名称" # 更新剧集
workrally series delete <ids...> # 软删除(→回收站)
# === 场次(shot/story)— 短番制作核心单元 ===
# --- CRUD 五件套 ---
workrally shot list --series-id <id> # 场次列表
workrally shot get <story_id> # 场次详情
workrally shot create --series-id <id> --json-list '[{"image_prompt":"..."}]' # 批量创建
workrally shot update <story_id> --image-prompt "..." --animation-prompt "..." # 单条更新
workrally shot update <story_id> --story-num "EP01-SC01" # 单条改名(story_num)
workrally shot update --batch '[{"story_id":"...","image_prompt":"..."}]' # 批量更新
workrally shot delete <story_ids...> # 软删除(→回收站)
# --- 业务语义糖(CRUD 之外)---
workrally shot sort --series-id <id> --order id1,id2,id3 # 重排
workrally shot image-models # ⭐ 场次专用图片模型(≠ canvas)
workrally shot video-models # ⭐ 场次专用视频模型(固定 mode=9)
workrally shot set-model [--story-ids id1,id2] --video-provider 1 --duration 5 --aspect-ratio 16:9 # 配置视频模型(推荐)
workrally shot set-model [--story-ids id1,id2] --image-model <en_name> --aspect-ratio 16:9 # 配置图片模型
workrally shot bind --story-id <id> --type image --assets '[{...}]' # 绑定参考资产
workrally shot recognize --project-id <id> --series-id <id> [--scope all|project] # 识别角色
workrally shot generate-image --story-ids id1,id2 [--count N] # 仅提交;无 --poll/--model;查结果 shot get-result --type image [--watch]
workrally shot generate-video --story-ids id1,id2 [--count N] # 同上;--type video。无 --model/duration/ratio/--poll
# === 上传 / 下载 ===
workrally upload ./file.png -o json # 上传文件 (COS SDK 直传)
workrally download <asset_id> [-d ./output/] # 下载素材 (自动处理访问凭证)
# === AI 生图 ===
workrally generate image-models # 查看可用模型(必须先调用!)
workrally generate image --prompt "描述" --model <model_id> [--aspect-ratio 16:9] [--input-images "url"] --poll
# === AI 生视频 (4 种驱动模式) ===
workrally generate video-models # 查看可用模型(必须先调用!)
workrally generate video --prompt "描述" --model <provider_id> --poll # 纯文生视频(默认 Text 模式)
workrally generate video --prompt "描述" --model <provider_id> --single-image-url "url" --poll # 图生视频(Text 模式 + 参考图)
workrally generate video --mode FirstLastFrame --prompt "描述" --model <provider_id> --first-frame-url "url" --poll # 首尾帧
# 其他模式: FrameSequence(--sequence-frames) SubjectToVideo(--reference-assets)
# --mode 默认 Text;通用选项: --duration <秒> --count 1-4 --enable-sound --poll
# === 媒资库 (asset) — 项目级媒体文件池 ===
workrally asset create --url <cdn_url> --project-id <id> -o json # 入库(返回可访问 URL)
workrally asset search --project-id <id> # 搜索
workrally asset get <asset_id> # 详情
workrally asset update <asset_id> --name "新名称" # 更新素材 (目前仅支持改名)
# === 资产库 (material) — 树形管理:人物/道具/场景/网盘 ===
workrally material list role_person # 人物 | role_prop 道具 | role_scene 场景 | root 网盘文件夹
workrally material add ... # 创建素材/文件夹(从媒资库挂载)
workrally material get <material_id> # 素材详情
workrally role get <role_id> # 角色详情(LoRA/提示词/版本)
# === 画布 ===
workrally canvas list # 列出画布
workrally canvas create "名称" # 创建画布
workrally canvas build-draft <canvas_id> --file nodes.json # 增量合并(默认保留已有节点)
workrally canvas build-draft <canvas_id> --nodes '[...]' # 同上,直接传 JSON
workrally canvas build-draft <canvas_id> -d "id1,id2" # 删除指定节点
workrally canvas build-draft <canvas_id> -n '[...]' -d "old1" # 同时增删改
workrally canvas build-draft <canvas_id> -n '[...]' --mode overwrite # 全量覆盖(清空后重建)
# === 任务查询 ===
workrally generate task <task_id> [--poll] # 查询/轮询生成任务状态
# === 通用透传(调用任意 MCP 工具)===
workrally tools list # 列出所有工具
workrally tools describe <tool_name> # 查看参数 schema
workrally tools call <tool_name> --arg key=value [--json-args '{}']
# === URL / 升级 ===
workrally url build "页面名" [--params '{}'] # 构建 WorkRally 前端链接
workrally url parse <url> # 解析 URL
workrally upgrade [--check] # 升级 / 仅检查输出格式: -o json(默认, Agent 推荐) | -o table(人类阅读) | -o text(管道/脚本) | workrally config set output_format <fmt>
概念:媒资库(asset) = 项目级文件池;资产库(material) = 树形目录(人物/道具/场景/网盘文件夹)。资产库的素材只能从媒资库挂载。
# 步骤 1: 上传 → CDN URL
workrally upload ./character.png -o json
# 步骤 2: 入媒资库(必须!返回 asset_id + asset_details)
workrally asset create --url <cdn_url> --project-id <project_id> -o json
# 步骤 3(按需): 挂载到资产库(必传 asset_id + 完整 asset_details)
workrally material add --json-list '[{"material_id":"<asset_id>","material_name":"名称","material_type":2,"parent_id":"<target_id>","material_detail":<asset_details_json>}]' \
--project-ids <project_id>步骤 1→2 强制绑定,上传后必须入媒资库。视频/音频为私有读,需经媒资库才能正常访问。
步骤 3 由 Agent 判断:"上传文件" → 两步 | "上传到角色/道具/场景/文件夹" → 三步 | "媒资素材添加到资产库" → 仅步骤 3
workrally url build 生成,严禁自行拼接 URLimage-models / video-models,严禁猜测或硬编码canvas ≠ project:画布用 canvas,项目用 project,两者 ID 不能互换build-draft 实时协同:写入后所有在线用户立即看到变更,默认增量合并(只传变更节点),支持多人并发安全操作build-draft 节点校验:8种节点类型各有必填字段,详见 canvas-guide.mdgenerate image/video 传入 --project-id(画布ID)后自动在画布创建占位节点,无需再手动 build-draft--name 传入"画布名_素材特征"(画布场景)或 prompt 关键词(非画布场景)--help 或 tools describe 自行探索--*-url / --*-assets / --*-images、asset create --url 等)仅接受 WorkRally 官方媒资 URL。合法来源:① workrally upload 返回值 ② asset get/search 返回值(可直接传入) ③ 用户已提供的官方 URL。本地文件或第三方 URL 必须先 workrally upload。如遇"非法或已过期"提示,通过 asset get/search 重新获取即可。本 Skill 附带详细参考文档,覆盖复杂工作流:
| 文档 | 内容 |
|---|---|
references/shot-guide.md | 场次操作 — CRUD/排序、提示词、模型、生成与结果;§9 场次创作工作流与专项规则(原 SKILL 正文迁入) |
references/canvas-guide.md | 无限画布操作 — 8种节点类型、画板嵌套、build-draft 增量/覆盖模式、协同编辑 |
references/upload-and-assets-guide.md | 上传与素材管理 — 三步上传流程、媒资库 vs 资产库、树形目录操作 |
references/ai-generation-guide.md | AI 生成 — Kontext 生图、4种视频驱动模式、模型动态获取、任务轮询 |
references/common-pitfalls.md | 常见易错点 — 项目/画布混淆、模型硬编码、上传缺步骤等10类典型错误 |
遇到画布、上传、AI生成相关的复杂操作时,请优先查阅对应的参考文档。
WORKRALLY_API_KEY — API Key (Bearer Token)WORKRALLY_ENDPOINT — API 端点 (默认 https://workrally.qq.com/zenstudio/api/mcp)WORKRALLY_CONFIG_DIR — 配置文件目录 (默认 ~/.workrally,非持久化容器建议指向持久卷)WORKRALLY_NO_UPDATE_CHECK=1 — 禁用自动版本检查 (CI/CD 推荐)© infometa, MIT-0. 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 5 other files (references) in skills/workrally of infometa/workbuddyskills.
Open the folder on GitHubat commit 75a5ad9
Workrally 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 |
|---|---|---|---|---|---|---|
| Workrally this skillinfometa/workbuddyskills | 344 | — | ~2.4k | Automated safety check: Pass | MIT-0 | |
| SN Motion HTMLOpenSenseNova/SenseNova-Skills | 5.7k | — | ~2.2k | Automated safety check: Notes | MIT | |
| Wedding Video Guided Wizardaaronyi97/wedding-video-guided-wizard | 291 | — | ~1k | Automated safety check: Pass | MIT | |
| WorkrallyTencent/workrally | 153 | — | ~3.7k | Automated safety check: Pass | MIT-0 | |
| Gc Still Image Motion DirectorLiamGvchi/gc-still-image-motion-director | 152 | — | ~1.4k | Automated safety check: Pass | MIT | |
| RunninghubHM-RunningHub/OpenClaw_RH_Skills | 141 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 |
OpenSenseNova/SenseNova-Skills
Builds HTML stories where one continuous camera journey advances with page progress, using researched structure, AI stills, Seedance video clips and browser QA.
aaronyi97/wedding-video-guided-wizard
Guide a creator through a real couple's custom wedding video, from a shareable story intake card and Kimi writing pack through narration, external GPT image prompts, image-to-video packs, music and…
Tencent/workrally
WorkRally CLI (workrally) — 面向 AI Agent 的 AIGC 漫剧视频创作全流程工具集。支持 AI 生图、AI 生视频、视频提示词优化、画布生音频/音乐、混元 3D 模型生成、AI 生音频、项目/剧集/场次/分镜的完整 CRUD、资产库、媒资管理、无限画布、文件上传下载等。Use when user asks to generate images…
LiamGvchi/gc-still-image-motion-director
Analyze still images and design restrained, image-specific motion for image-to-video generation.
HM-RunningHub/OpenClaw_RH_Skills
Generate images, videos, audio, and 3D models via RunningHub API (420 endpoints) and run any RunningHub AI Application (custom ComfyUI workflow) by webappId.
clacky-ai/openclacky
Generate or edit images, videos, or audio in the current task.
infometa/workbuddyskills
This skill should be used when planning, coordinating, running, or reviewing student-led campus events, including club recruitment, freshman mixers, welcome activities, small talks, competitions…
infometa/workbuddyskills
K-12 interactive courseware creation. An agent skill from infometa/workbuddyskills.
infometa/workbuddyskills
A skill your agent uses when the adult weight-management MCP needs to be installed/set up in WorkBuddy (connector) or its result must be rendered as a standalone Chinese HTML plan.
infometa/workbuddyskills
A skill your agent uses when the user needs browser automation, including opening web pages, taking screenshots, extracting page content, clicking elements, filling forms, or testing web flows.
infometa/workbuddyskills
定时任务:每日研究简报。漏掉重要论文和行业报告?每天帮你盯着,关键信息一条不漏 This skill should be used when the user asks about 定时任务:每日研究简报.
infometa/workbuddyskills
Investment banking presentation quality checker. An agent skill from infometa/workbuddyskills.
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WorkRally CLI (workrally) — 面向 AI Agent 的 AIGC 漫剧视频创作全流程工具集。. Workrally is an agent skill from infometa/workbuddyskills. WorkRally CLI (workrally) — 面向 AI Agent 的 AIGC 漫剧视频创作全流程工具集。 支持 AI 生图、AI 生视频、项目管理、资产库、媒资管理、无限画布、文件上传下载等。 Use when user asks to generate images, generate videos, manage projects, upload files, download assets, manage materials, or interact with WorkRally platform via command line.
Workrally fits situations like: user asks to generate images; generate videos; manage projects; download assets.
Run `npx skills add infometa/workbuddyskills --skill workrally -a claude-code`. Or copy the skill folder (skills/workrally in infometa/workbuddyskills) into .claude/skills/workrally in your project. Claude Code loads it when a task matches its description.
Run `npx skills add infometa/workbuddyskills --skill workrally -a codex`. Or copy the skill folder (skills/workrally in infometa/workbuddyskills) into .agents/skills/workrally 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 infometa/workbuddyskills --skill workrally -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/workrally, .gemini/skills/workrally, .github/skills/workrally and .opencode/skills/workrally in your project.
Going by SKILL.md and its folder, Workrally needs the command-line tools its instructions call (npm) and credentials named WORKRALLY_API_KEY. Our summary lists: Node.js; A credential in WORKRALLY_API_KEY; A credential in YOUR_API_KEY.
SKILL.md names 1 domain. In commands or code: workrally.qq.com; the agent is likely to contact it when it follows the instructions. 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.
Workrally is published under the MIT-0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.7k 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 14k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Workrally: SN Motion HTML (OpenSenseNova/SenseNova-Skills, 5.7k stars), Wedding Video Guided Wizard (aaronyi97/wedding-video-guided-wizard, 291 stars), Workrally (Tencent/workrally, 153 stars) and Gc Still Image Motion Director (LiamGvchi/gc-still-image-motion-director, 152 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 344 GitHub stars. The repository holds 212 skills in this directory. The repository was last updated on October 7, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.