Monitor CI
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
Generate Coze workflow YAML files packaged as ZIP for import into coze.cn cloud platform.
$ npx skills add LingyiChen-AI/workflow-skill --skill coze-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LingyiChen-AI/workflow-skill coze-workflow --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/LingyiChen-AI/workflow-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/coze-workflow .claude/skills/coze-workflow && 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 "coze-workflow" agent skill from https://github.com/LingyiChen-AI/workflow-skill/tree/main/skills/coze-workflow into .claude/skills/coze-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coze-workflow", 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/LingyiChen-AI/workflow-skill/tree/main/skills/coze-workflowType 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 LingyiChen-AI/workflow-skill --skill coze-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LingyiChen-AI/workflow-skill coze-workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LingyiChen-AI/workflow-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/coze-workflow .agents/skills/coze-workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "coze-workflow" agent skill from https://github.com/LingyiChen-AI/workflow-skill/tree/main/skills/coze-workflow into .agents/skills/coze-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coze-workflow", 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 LingyiChen-AI/workflow-skill --skill coze-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LingyiChen-AI/workflow-skill coze-workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LingyiChen-AI/workflow-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/coze-workflow .cursor/skills/coze-workflow && 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 "coze-workflow" agent skill from https://github.com/LingyiChen-AI/workflow-skill/tree/main/skills/coze-workflow into .cursor/skills/coze-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coze-workflow", 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/LingyiChen-AI/workflow-skill.git --path skills/coze-workflow--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 LingyiChen-AI/workflow-skill --skill coze-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LingyiChen-AI/workflow-skill coze-workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LingyiChen-AI/workflow-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/coze-workflow .gemini/skills/coze-workflow && 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 "coze-workflow" agent skill from https://github.com/LingyiChen-AI/workflow-skill/tree/main/skills/coze-workflow into .gemini/skills/coze-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coze-workflow", 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 LingyiChen-AI/workflow-skill coze-workflowInstalls 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 LingyiChen-AI/workflow-skill --skill coze-workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LingyiChen-AI/workflow-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/coze-workflow .github/skills/coze-workflow && 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 "coze-workflow" agent skill from https://github.com/LingyiChen-AI/workflow-skill/tree/main/skills/coze-workflow into .github/skills/coze-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coze-workflow", 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 LingyiChen-AI/workflow-skill --skill coze-workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LingyiChen-AI/workflow-skill coze-workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LingyiChen-AI/workflow-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/coze-workflow .opencode/skills/coze-workflow && 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 "coze-workflow" agent skill from https://github.com/LingyiChen-AI/workflow-skill/tree/main/skills/coze-workflow into .opencode/skills/coze-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "coze-workflow", 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.
coze-workflowGenerate Coze workflow YAML files packaged as ZIP for import into coze.cn cloud platform.
Coze Workflow is an agent skill from LingyiChen-AI/workflow-skill. Generate Coze workflow YAML files packaged as ZIP for import into coze.cn cloud platform. Produces importable workflow definitions with correct node schemas, edges, and layout.
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 33 other files, including scripts and reference files (for example `examples/loop-workflow.yaml`, `examples/parallel-merge.yaml` and `examples/simple-chatbot.yaml`).
It sits in DevOps & Cloud, covering CI/CD. The repository describes itself as: 一句话描述你想要的工作流,自动生成 Coze / Dify / ComfyUI 平台可直接导入的完整工作流定义文件——包括节点配置、连线、布局和所有平台特有的格式要求。
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 30922c1. 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.
Ships 1 file in scripts/, which the agent can run.
From 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:
lf3-static.bytednsdoc.comFrom 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.
Coze Workflow loads about 4.2k tokens when it runs, and up to ~44k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 851 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 851 words (~4,233 tokens).
“This skill generates Coze workflow files that can be directly imported into coze.cn cloud platform via ZIP upload. Given a natural language description of a desired workflow, it produces a complete YAML file packaged as a ZIP with correct node…”
SKILL.md and 30 other files (scripts, references) in skills/coze-workflow of LingyiChen-AI/workflow-skill.
Open the folder on GitHubat commit 30922c1
Coze Workflow 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 |
|---|---|---|---|---|---|---|
| Coze Workflow this skillLingyiChen-AI/workflow-skill | 175 | — | ~4.2k | Automated safety check: Pass | None | |
| Monitor CInrwl/nx | 29k | 6 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Terraform and OpenTofu Guideagentscope-ai/QwenPaw | 35k | 6 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Analyze GitHub Action Logswithastro/astro | 63k | 1 repos | ~1.3k | Automated safety check: Pass | Custom licence | |
| Azure Pipelines Log Downloaderansible/ansible | 71k | — | ~825 | Automated safety check: Pass | GPL-3.0 | |
| GitHub Actions Templatesbartstc/vite-ts-react-template | 122 | 14 repos | ~1.9k | Automated safety check: Pass | MIT |
nrwl/nx
Monitor Nx Cloud CI pipeline and handle self-healing fixes. An agent skill from nrwl/nx.
agentscope-ai/QwenPaw
Guidance for writing and testing Terraform and OpenTofu code: module structure, naming, test approaches, CI/CD workflows, state handling and security scanning.
withastro/astro
Analyze recent GitHub Actions workflow runs to identify patterns, mistakes, and improvements.
ansible/ansible
Downloads Azure Pipelines CI logs for an Ansible pull request or build so the agent can analyze test failures, after asking you first.
bartstc/vite-ts-react-template
Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications.
ccusage/ccusage
Guides ccusage Nushell scripts. An agent skill from ccusage/ccusage.
LingyiChen-AI/workflow-skill
Generate Dify workflow DSL files from natural language descriptions.
Categories
Generate Coze workflow YAML files packaged as ZIP for import into coze.cn cloud platform. Coze Workflow is an agent skill from LingyiChen-AI/workflow-skill.cn cloud platform.
Coze Workflow fits situations like: tasks that involve CI/CD.
Run `npx skills add LingyiChen-AI/workflow-skill --skill coze-workflow -a claude-code`. Or copy the skill folder (skills/coze-workflow in LingyiChen-AI/workflow-skill) into .claude/skills/coze-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LingyiChen-AI/workflow-skill --skill coze-workflow -a codex`. Or copy the skill folder (skills/coze-workflow in LingyiChen-AI/workflow-skill) into .agents/skills/coze-workflow 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 LingyiChen-AI/workflow-skill --skill coze-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/coze-workflow, .gemini/skills/coze-workflow, .github/skills/coze-workflow and .opencode/skills/coze-workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Coze Workflow is instructions for the agent only. Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: lf3-static.bytednsdoc.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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Coze Workflow or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 4.2k tokens (SKILL.md is roughly 17k 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 40k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Coze Workflow: Monitor CI (nrwl/nx, 29k stars), Terraform and OpenTofu Guide (agentscope-ai/QwenPaw, 35k stars), Analyze GitHub Action Logs (withastro/astro, 63k stars) and Azure Pipelines Log Downloader (ansible/ansible, 71k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LingyiChen-AI (a GitHub user) maintains it in LingyiChen-AI/workflow-skill, which has 175 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on May 22, 2026.
Source: LingyiChen-AI/workflow-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.