Capgo Release Workflows logo

Capgo Release Workflows

Organization
Cap-go
capgo-release-workflows

Guides the agent through setting up Capgo-centered release workflows for Capacitor apps. Use when the user needs a unified path for live updates, native builds, and app store publishing using Capgo plus repository-owned CI/CD. Do not use for non-Capacitor frameworks or for Ionic Enterprise plugin migration.

Overview

PublisherCap-go
Repositorycapgo-skills
Skill namecapgo-release-workflows
Stars
71
Forks
4
Bundled files
1
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Cap-go on GitHub. Read the source before you install it.

Installation

Install the Capgo Release Workflows 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/Cap-go/capgo-skills.git /tmp/capgo-skills
mkdir -p .claude/skills
cp -r /tmp/capgo-skills/plugins/capgo-cloud/skills/capgo-release-workflows .claude/skills/capgo-release-workflows
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capgo Release Workflows 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 Capgo Release Workflows 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 Capgo Release Workflows 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.

Capgo Release Workflows

Set up release workflows for Capacitor apps using Capgo live updates plus repository-owned build and publishing automation.

When to Use This Skill

  • User wants one release workflow covering live updates, builds, and store publishing
  • User is replacing a hosted release service with repo-owned automation
  • User wants Capgo for OTA updates and standard CI/CD for native artifacts

Scope

This skill coordinates three workflow areas:

  • live updates -> capgo-live-updates
  • native builds -> capacitor-ci-cd
  • app store publishing -> capacitor-app-store

Use this skill as the top-level router when the user asks for the whole release system, not just one piece.

Procedures

Step 1: Identify Release Requirements

Determine whether the app needs:

  • OTA web updates
  • signed iOS and Android builds
  • TestFlight or Google Play publishing
  • staged channels or phased rollout

Record which parts already exist in the repository.

Step 2: Set Up Live Updates

If OTA updates are required, use the capgo-live-updates skill.

Preserve the app's release channel structure and define the rollback strategy before enabling automatic rollout.

Step 3: Set Up Native Build Automation

If the team needs reproducible native builds, use the capacitor-ci-cd skill.

Keep signing, build environment variables, and version bumping under repository control.

Step 4: Set Up Store Publishing

If automated publishing is required, use the capacitor-app-store skill.

Keep credentials, track selection, and release gating aligned with the current release policy.

Step 5: Verify the End-to-End Release Flow

Verify the workflow in order:

  1. native build succeeds
  2. store artifact is valid
  3. live update upload works for the matching app version
  4. rollback and channel targeting behave as expected

Error Handling

  • For OTA setup issues, validate the Capgo plugin startup and rollback path before enabling broad rollout.
  • For CI/CD failures, fix signing and environment inputs before changing release logic.
  • For store publishing failures, isolate Apple and Google pipelines so one platform does not block diagnosis of the other.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Capgo Release Workflows AI skill do?

Guides the agent through setting up Capgo-centered release workflows for Capacitor apps. Use when the user needs a unified path for live updates, native builds, and app store publishing using Capgo plus repository-owned CI/CD. Do not use for non-Capacitor frameworks or for Ionic Enterprise plugin migration.

Why use Capgo Release Workflows on TypingMind?

Because you install it once and use it with any model. Capgo Release Workflows 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 Capgo Release Workflows in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Cap-go/capgo-skills/tree/main/plugins/capgo-cloud/skills/capgo-release-workflows. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Capgo Release Workflows?

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 Capgo Release Workflows?

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

Is the Capgo Release Workflows AI skill free?

It is published on GitHub by Cap-go. Check the repository for licensing terms. 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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