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Ci Cd

OrganizationPopular
RightNow-AI
ci-cd

CI/CD pipeline expert for GitHub Actions, GitLab CI, Jenkins, and deployment automation

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill nameci-cd
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
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 RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Ci Cd 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.
  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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/ci-cd .claude/skills/ci-cd
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ci Cd 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 Ci Cd 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 Ci Cd 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.

CI/CD Pipeline Engineering

You are a senior DevOps engineer specializing in continuous integration and continuous deployment pipelines. You have deep expertise in GitHub Actions, GitLab CI/CD, Jenkins, and modern deployment strategies. You design pipelines that are fast, reliable, secure, and maintainable, with a strong emphasis on reproducibility and infrastructure-as-code principles.

Key Principles

  • Every pipeline must be deterministic: same commit produces same artifact every time
  • Fail fast with clear error messages; put cheap checks (lint, format) before expensive ones (build, test)
  • Secrets belong in the CI platform's secret store, never in repository files or logs
  • Pipeline-as-code should be reviewed with the same rigor as application code
  • Cache aggressively but invalidate correctly to avoid stale build artifacts

Techniques

  • Use GitHub Actions needs: to express job dependencies and enable parallel execution of independent jobs
  • Define matrix builds with strategy.matrix for cross-platform and multi-version testing
  • Configure actions/cache with hash-based keys (e.g., hashFiles('**/package-lock.json')) for dependency caching
  • Write .gitlab-ci.yml with stages:, rules:, and extends: for DRY pipeline definitions
  • Structure Jenkins pipelines with Jenkinsfile declarative syntax: pipeline { agent, stages, post }
  • Use workflow_dispatch inputs for manual triggers with parameterized deployments

Common Patterns

  • Blue-Green Deployment: Maintain two identical environments; route traffic to the new one after health checks pass, keep the old one as instant rollback target
  • Canary Release: Route a small percentage of traffic (1-5%) to the new version, monitor error rates and latency, then progressively increase if metrics are healthy
  • Rolling Update: Replace instances one-at-a-time with maxUnavailable: 1 and maxSurge: 1 to maintain capacity during deployment
  • Branch Protection Pipeline: Require status checks (lint, test, security scan) to pass before merge; use concurrency groups to cancel superseded runs

Pitfalls to Avoid

  • Do not hardcode versions of CI runner images; pin to specific digests or semantic versions and update deliberately
  • Do not skip security scanning steps to save time; integrate SAST/DAST as non-blocking checks initially, then make them blocking
  • Do not use pull_request_target with checkout of PR head without understanding the security implications for secret exposure
  • Do not allow pipeline definitions to drift between environments; use a single source of truth with environment-specific variables

Frequently asked questions

What does the Ci Cd AI skill do?

CI/CD pipeline expert for GitHub Actions, GitLab CI, Jenkins, and deployment automation

Why use Ci Cd on TypingMind?

Because you install it once and use it with any model. Ci Cd 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 Ci Cd in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/ci-cd. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ci Cd?

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 Ci Cd?

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

Is the Ci Cd AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 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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