Upstream Patches logo

Upstream Patches

Organization
pulumi
upstream-patches

Create, amend, remove, and rebase patches for Terraform provider submodules using `./scripts/upstream.sh`. Use when `upgrade-provider` or manual patch work needs owning-patch lookup, patch conflict fixes, patch/hunk removal, or upstream rebase.

Overview

Publisherpulumi
Repositoryagent-skills
Skill nameupstream-patches
Stars
78
Forks
8
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Upstream Patches 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/pulumi/agent-skills/tree/main/package-maintenance/skills/upstream-patches
  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/pulumi/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/package-maintenance/skills/upstream-patches .claude/skills/upstream-patches
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Upstream Patches 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 Upstream Patches 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 Upstream Patches 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.

Upstream Patches

upstream/ is a git submodule pointing to the upstream Terraform provider. patches/ contains patch files applied on top of it. Use ./scripts/upstream.sh to manage patch state.

Default Behavior

  • If fixing a regression introduced by an existing patch, amend the owning patch commit.
  • Do not create a new patch unless the user explicitly asks.

Commands Reference

CommandDescription
./scripts/upstream.sh initInitialize upstream and apply patches to working directory
./scripts/upstream.sh init -fDestructively discard checkout/rebase state and re-initialize upstream
./scripts/upstream.sh checkoutCreate branch with patches as commits for editing
./scripts/upstream.sh rebase -iInteractively edit patch commits
./scripts/upstream.sh rebase -o <commit>Rebase patches onto a new upstream commit
./scripts/upstream.sh check_inWrite commits back to patches and exit checkout mode

Guardrails

  • Never commit directly to upstream/ without checkout/check_in.
  • Direct edits under upstream/ outside checkout are ephemeral during upgrade-provider; the tool resets submodule state.
  • Do not hand-edit patches/*.patch unless intentionally doing raw patch surgery.
  • Prefer non-interactive rewrite flow over interactive rebase for agents.

Find Owning Patch First

Before editing patch content, identify the owning patch/commit.

bash
./scripts/upstream.sh checkout

# Find candidate patch files by touched file path or unique hunk text
rg -n "path/to/file|unique_symbol" patches/*.patch

# Optional: inspect candidate patch header/hunks
sed -n '1,120p' patches/00NN-Example.patch

# Map patch file to commit in upstream checkout branch
patch=patches/00NN-Example.patch
subject=$(sed -n 's/^Subject: \[PATCH\] //p' "$patch" | head -n1)
cd upstream
git log --oneline pulumi/patch-checkout --grep "$subject"

# If needed, disambiguate by touched path
git log --oneline pulumi/patch-checkout -- path/to/file
cd ..

If rg is unavailable, use grep -En for the patch search. Set target_sha to the owning commit and edit that commit, not HEAD.

Amend Existing Patch (Preferred, Non-Interactive)

bash
./scripts/upstream.sh checkout
cd upstream

target_sha=<owning-commit-sha>
base_sha=$(git rev-parse "${target_sha}^")
tmp_branch="rewrite-${target_sha:0:8}"

# Rebuild history from parent of target commit
git checkout -b "$tmp_branch" "$base_sha"
git cherry-pick "$target_sha"

# Apply fix and amend target commit
# ...edit files...
git add <files>
git commit --amend --no-edit

# Replay remaining commits
git cherry-pick "${target_sha}..pulumi/patch-checkout"

# If cherry-pick conflicts occur:
#   resolve files
#   git add <resolved files>
#   git cherry-pick --continue

# Move checkout branch to rewritten history
git branch -f pulumi/patch-checkout HEAD
git checkout pulumi/patch-checkout
git branch -D "$tmp_branch"
cd ..

Interactive fallback:

bash
./scripts/upstream.sh checkout
./scripts/upstream.sh rebase -i
# mark target commit as edit, amend, then continue

Remove Entire Patch

Use when a patch should be deleted completely.

bash
rm patches/00NN-Description.patch
./scripts/upstream.sh checkout
./scripts/upstream.sh check_in

Remove Part of a Patch

Use when only selected hunks/files should be removed from an existing patch.

  1. Find owning patch/commit (target_sha) and use the amend workflow above.
  2. Revert only unwanted changes from the target commit, then amend.

Example during amend step:

bash
cd upstream
# Restore specific docs-only files from parent of amended commit
git checkout HEAD^ -- path/to/docs-only-file path/to/another-doc-file
git add path/to/docs-only-file path/to/another-doc-file
git commit --amend --no-edit
cd ..

Create New Patch (Only If Requested)

bash
./scripts/upstream.sh checkout
cd upstream
# ...make changes...
git add <files>
git commit -m "Describe new patch"
cd ..
./scripts/upstream.sh check_in

Rebasing Patches to a New Upstream Version

bash
./scripts/upstream.sh checkout

# Rebase onto the new upstream commit
./scripts/upstream.sh rebase -o <new_commit_sha>
# Resolve any conflicts that arise

# Write updated patch files
./scripts/upstream.sh check_in

Verification Checklist

Before check_in:

  • Confirm expected patch count change (0 by default; -1 for full patch removal).
  • Confirm whether target patch should remain present (default yes) or be removed (explicit deletion case).
  • Confirm you are editing the owning commit, not adding a new commit by accident.

After check_in:

  • Verify patch count matches expectation.
  • Verify target patch number/purpose is still present when expected.
  • Verify no unexpected new 00NN-*.patch was introduced.

Interrupted Checkout or Rebase

Preserve work by default. Inspect git -C upstream status, complete the active git am/rebase, verify that every patch was applied, and run ./scripts/upstream.sh check_in before rerunning automation. An interrupted checkout invokes git am separately for each patch, so later patch files may not have been reached.

Use ./scripts/upstream.sh init -f only when intentionally discarding all interrupted work. It can remove conflict resolution, patch commits, operation metadata, and untracked files; it is not routine recovery for a stuck checkout.

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 Upstream Patches AI skill do?

Create, amend, remove, and rebase patches for Terraform provider submodules using `./scripts/upstream.sh`. Use when `upgrade-provider` or manual patch work needs owning-patch lookup, patch conflict fixes, patch/hunk removal, or upstream rebase.

Why use Upstream Patches on TypingMind?

Because you install it once and use it with any model. Upstream Patches 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 Upstream Patches in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pulumi/agent-skills/tree/main/package-maintenance/skills/upstream-patches. 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 Upstream Patches?

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 Upstream Patches?

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

Is the Upstream Patches AI skill free?

Yes. It is published on GitHub by pulumi 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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