Customize Contribute Back logo

Customize Contribute Back

Community
jmagly
customize-contribute-back

Contribute a user's AIWG customization back upstream as a PR — reviews for general applicability, creates branch, opens PR

Overview

Publisherjmagly
Repositoryaiwg
Skill namecustomize-contribute-back
Stars
225
Forks
34
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 jmagly on GitHub. Read the source before you install it.

Installation

Install the Customize Contribute Back 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/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-utils/skills/customize-contribute-back
  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/jmagly/aiwg.git /tmp/aiwg
mkdir -p .claude/skills
cp -r /tmp/aiwg/agentic/code/addons/aiwg-utils/skills/customize-contribute-back .claude/skills/customize-contribute-back
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Customize Contribute Back 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 Customize Contribute Back 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 Customize Contribute Back 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.

Customize Contribute Back

You help users contribute a customization from their fork back to the upstream AIWG repo. You first assess whether the customization is generally useful (not just personal), then create a feature branch, commit, and open a PR.

Triggers

  • "PR this back to AIWG"
  • "contribute this upstream"
  • "submit this agent to the main repo"
  • "open a PR to AIWG"
  • "share this with the AIWG project"
  • "could this be useful for everyone?"

Trigger Patterns Reference

PatternExampleAction
Explicit PR"PR this back to AIWG"Assess → branch → PR
Contribution question"could this be useful for everyone?"Assess only, ask to proceed
Submit"submit this skill upstream"Assess → branch → PR

Behavior

When triggered:

  1. Identify what to contribute — ask if not clear:

    "Which customization would you like to contribute? (e.g., the domain-specialist agent, the my-conventions rule)"

  2. Assess for general applicability:

    • Review the file(s) in question
    • Ask: is this useful to anyone installing AIWG, or is it specific to this user's context?
    • Personal signals (do NOT contribute): references to the user's name, team, specific internal tools, personal preferences ("always call me X"), org-specific vocabulary
    • General signals (good candidate): adds new capability, improves an existing agent/skill for a common use case, fixes a gap in the framework

    If personal: decline gracefully:

    "This looks specific to you — it references [X]. That's perfect as a private customization but wouldn't be a fit for the main repo. Keep it in your fork."

    If general: confirm with user before proceeding:

    "This looks generally useful. Want me to open a PR to jmagly/aiwg?"

  3. Create feature branch:

    bash
    git -C <edgePath> checkout -b feat/contribute-<name>
    git -C <edgePath> add <file(s)>
    git -C <edgePath> commit -m "<conventional-commit-message>"
    git -C <edgePath> push origin feat/contribute-<name>

    Conventional commit format: feat(<scope>): <description> — scope is the addon/framework area (e.g., aiwg-utils, sdlc, skills).

  4. Open PR via gh:

    bash
    gh pr create \
      --repo jmagly/aiwg \
      --head <user>:feat/contribute-<name> \
      --title "<conventional commit title>" \
      --body "<description>"

    PR body template:

    markdown
    ## Summary
    [What this adds/changes and why it's useful for AIWG users generally]
    
    ## Changes
    - [File: what it does]
    
    ## Testing
    - Deployed locally via `aiwg use all`
    - [Any specific testing done]
  5. Report:

    PR opened: https://github.com/jmagly/aiwg/pull/NNN
    Title: feat(aiwg-utils): [title]
    Branch: feat/contribute-<name>
    
    The PR is ready for review. You can continue customizing on main — this branch is separate.

Examples

Example 1: Generally useful agent

User: "I built a terraform-specialist agent — could this be useful for others?"

Assessment: Not user-specific, generally useful for infra teams → confirm

Action: Create branch → commit feat(aiwg-utils): add terraform-specialist agent → push → gh pr create

Response: "PR opened at jmagly/aiwg. The Terraform specialist agent looks like a solid contribution."

Example 2: Personal rule

User: "PR my my-conventions rule back to AIWG"

Assessment: File contains "always know I'm Joe from Acme Corp" — personal

Response: "This rule references you by name and mentions Acme Corp — it's a perfect personal customization but not a fit for the main repo where it wouldn't apply to other users. It stays in your fork."

Example 3: Generally useful skill improvement

User: "I improved the aiwg-sync skill to handle more edge cases — contribute it?"

Assessment: Improvement to existing skill, generally applicable → confirm

Action: Create branch → commit → PR

Clarification Prompts

  • "Which file(s) should I include in the PR?"
  • "This looks generally useful — want me to open a PR to jmagly/aiwg?"
  • "The assessment: [reason]. Should I proceed with the PR anyway?"

References

  • @$AIWG_ROOT/CONTRIBUTING.md — Contribution guidelines
  • @$AIWG_ROOT/docs/customization/fork-workflow.md — Fork workflow docs

Frequently asked questions

What does the Customize Contribute Back AI skill do?

Contribute a user's AIWG customization back upstream as a PR — reviews for general applicability, creates branch, opens PR

Why use Customize Contribute Back on TypingMind?

Because you install it once and use it with any model. Customize Contribute Back 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 Customize Contribute Back in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jmagly/aiwg/tree/main/agentic/code/addons/aiwg-utils/skills/customize-contribute-back. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Customize Contribute Back?

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 Customize Contribute Back?

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

Is the Customize Contribute Back AI skill free?

Yes. It is published on GitHub by jmagly 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇