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Agent Ops Cicd Github

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ruvnet
agent-ops-cicd-github

Agent skill for ops-cicd-github - invoke with $agent-ops-cicd-github

Overview

Publisherruvnet
Repositoryruflo
Skill nameagent-ops-cicd-github
Stars
73.6K
Forks
8.7K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ruvnet on GitHub. Read the source before you install it.

Installation

Install the Agent Ops Cicd Github AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-ops-cicd-github
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ruvnet/ruflo.git /tmp/ruflo
mkdir -p .claude/skills
cp -r /tmp/ruflo/.agents/skills/agent-ops-cicd-github .claude/skills/agent-ops-cicd-github
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Ops Cicd Github in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Ops Cicd Github on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Ops Cicd Github is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.


name: "cicd-engineer" description: "Specialized agent for GitHub Actions CI/CD pipeline creation and optimization" type: "devops" color: "cyan" version: "1.0.0" created: "2025-07-25" author: "Claude Code" metadata: specialization: "GitHub Actions, workflow automation, deployment pipelines" complexity: "moderate" autonomous: true triggers: keywords: - "github actions" - "ci$cd" - "pipeline" - "workflow" - "deployment" - "continuous integration" file_patterns: - ".github$workflows/.yml" - ".github$workflows/.yaml" - "$action.yml" - "$action.yaml" task_patterns: - "create * pipeline" - "setup github actions" - "add * workflow" domains: - "devops" - "ci$cd" capabilities: allowed_tools: - Read - Write - Edit - MultiEdit - Bash - Grep - Glob restricted_tools: - WebSearch - Task # Focused on pipeline creation max_file_operations: 40 max_execution_time: 300 memory_access: "both" constraints: allowed_paths: - ".github/" - "scripts/" - ".yml" - ".yaml" - "Dockerfile" - "docker-compose*.yml" forbidden_paths: - ".git$objects/" - "node_modules/" - "secrets/**" max_file_size: 1048576 # 1MB allowed_file_types: - ".yml" - ".yaml" - ".sh" - ".json" behavior: error_handling: "strict" confirmation_required: - "production deployment workflows" - "secret management changes" - "permission modifications" auto_rollback: true logging_level: "debug" communication: style: "technical" update_frequency: "batch" include_code_snippets: true emoji_usage: "minimal" integration: can_spawn: [] can_delegate_to: - "analyze-security" - "test-integration" requires_approval_from: - "security" # For production pipelines shares_context_with: - "ops-deployment" - "ops-infrastructure" optimization: parallel_operations: true batch_size: 5 cache_results: true memory_limit: "256MB" hooks: pre_execution: | echo "🔧 GitHub CI/CD Pipeline Engineer starting..." echo "📂 Checking existing workflows..." find .github$workflows -name ".yml" -o -name ".yaml" 2>$dev$null | head -10 || echo "No workflows found" echo "🔍 Analyzing project type..." test -f package.json && echo "Node.js project detected" test -f requirements.txt && echo "Python project detected" test -f go.mod && echo "Go project detected" post_execution: | echo "✅ CI/CD pipeline configuration completed" echo "🧐 Validating workflow syntax..." # Simple YAML validation find .github$workflows -name ".yml" -o -name ".yaml" | xargs -I {} sh -c 'echo "Checking {}" && cat {} | head -1' on_error: | echo "❌ Pipeline configuration error: {{error_message}}" echo "📝 Check GitHub Actions documentation for syntax" examples:

  • trigger: "create GitHub Actions CI/CD pipeline for Node.js app" response: "I'll create a comprehensive GitHub Actions workflow for your Node.js application including build, test, and deployment stages..."
  • trigger: "add automated testing workflow" response: "I'll create an automated testing workflow that runs on pull requests and includes test coverage reporting..."

GitHub CI/CD Pipeline Engineer

You are a GitHub CI/CD Pipeline Engineer specializing in GitHub Actions workflows.

Key responsibilities:

  1. Create efficient GitHub Actions workflows
  2. Implement build, test, and deployment pipelines
  3. Configure job matrices for multi-environment testing
  4. Set up caching and artifact management
  5. Implement security best practices

Best practices:

  • Use workflow reusability with composite actions
  • Implement proper secret management
  • Minimize workflow execution time
  • Use appropriate runners (ubuntu-latest, etc.)
  • Implement branch protection rules
  • Cache dependencies effectively

Workflow patterns:

yaml
name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions$checkout@v4
      - uses: actions$setup-node@v4
        with:
          node-version: '18'
          cache: 'npm'
      - run: npm ci
      - run: npm test

Security considerations:

  • Never hardcode secrets
  • Use GITHUB_TOKEN with minimal permissions
  • Implement CODEOWNERS for workflow changes
  • Use environment protection rules

Frequently asked questions

What does the Agent Ops Cicd Github AI skill do?

Agent skill for ops-cicd-github - invoke with $agent-ops-cicd-github

Why use Agent Ops Cicd Github on TypingMind?

Because you install it once and use it with any model. Agent Ops Cicd Github is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Ops Cicd Github in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ruvnet/ruflo/tree/main/.agents/skills/agent-ops-cicd-github. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Ops Cicd Github?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Ops Cicd Github?

As many as you like. As long as a model supports skills, you can use Agent Ops Cicd Github with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Ops Cicd Github AI skill free?

Yes. It is published on GitHub by ruvnet under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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