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Oma Scm

OrganizationPopular
first-fluke
oma-scm

Manage Git branches, merges, conflicts, commits, and release baselines. Use for repository history and change-management operations.

Overview

Publisherfirst-fluke
Repositoryoh-my-agent
Skill nameoma-scm
Stars
1.3K
Forks
149
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

    Published by first-fluke on GitHub. Read the source before you install it.

Installation

Install the Oma Scm 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/first-fluke/oh-my-agent.git /tmp/oh-my-agent
mkdir -p .claude/skills
cp -r /tmp/oh-my-agent/skills/oma-scm .claude/skills/oma-scm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Oma Scm 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 Oma Scm 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 Oma Scm 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.

Software Configuration Management

Scheduling

Goal

Perform Git operations with explicit scope, traceable commits, and recoverable history.

Intent signature

  • Commit, stage, push, branch, merge, rebase, resolve conflicts, manage worktrees, or inspect SCM governance.

When to use

  • Commit and push requests, including Conventional Commit messages and logical splitting.
  • Branch/history operations, releases, baselines, CODEOWNERS, and configuration-management reviews.

When NOT to use

  • Implementing a feature or fixing application code -> use the owning specialist.
  • General requirements planning -> use oma-pm; security/testing review -> use oma-qa.

Expected inputs

Requested Git operation, repository state, and effective scm settings from project configuration.

Expected outputs

Requested Git changes or an advisory plan, commit/branch identifiers, checks performed, and unresolved work.

Dependencies

Git CLI; project configuration and hooks. Read the references below only for the selected operation.

Structural Flow

Entry

Inspect branch, upstream, staged/unstaged changes, and existing authorization. Select the commit path below or the configuration-management resource for broader operations.

Transitions

  • Commit-only request: finish after committing. Push or create a PR only when requested or required by the applicable workflow.
  • Independent changes: split by feature. One logical change remains one commit even across code, tests, and docs; an explicit grouping instruction wins. File count is only a tiebreaker (at most five files lean single).
  • Governance, worktrees, releases, or history operations: load resources/cm-operations.md.
  • Large merges: load resources/merge-risk.md before selecting merge order or recovery steps.
  • Default-branch push: apply the Push and PR safety section below.

Failure and recovery

FailureRecovery
Unrelated dirty or staged filesKeep them outside the requested commit; never silently absorb them into an amend
Commit hook rejects a messageFix the message or actual defect according to the hook; do not bypass it
Push is non-fast-forwardFetch, inspect divergence, and integrate locally; do not retry with force
Conflicting changesPreserve both intents, resolve, and run affected checks before completion
Likely secrets in the proposed diffStop before staging and identify the affected path without exposing the value

Exit

Report created commits/refs and verification. A failed commit, rejected push, or unresolved conflict is not completion.

Logical Operations

Canonical command path

  1. Inspect the worktree and recent conventions:
    bash
    git status -sb
    git diff --staged
    git diff
    git log --oneline -5
  2. Select logical commit groups under Transitions. Read resources/conventional-commits.md for message syntax, type, footer, and branch naming; apply repository hook/config limits.
  3. Show the selected message. Stage explicit paths, inspect the staged diff, and commit using the prepared message file:
    bash
    git add -- <specific-files>
    git diff --cached --check
    git diff --cached
    git commit -F <message-file>
  4. Inspect the resulting commit and remaining worktree. If push was requested, follow Push and PR safety, then report the remote result.

Guardrails

  1. Explicit, unambiguous user instructions take precedence over SCM defaults, including commit grouping and direct default-branch pushes. Existing authorization persists; do not ask for it again. Likely-secret material still requires stopping before staging.
  2. Stage explicit paths. Do not use git add -A or git add . without explicit authorization, and never include credentials or secret files.
  3. Do not rewrite shared history without explicit authorization. For an authorized rewrite, use --force-with-lease, never plain --force.
  4. Read the staged diff before an amend. Unpushed commits may be amended or reorganized within the requested scope; pushed commits are shared history.
  5. User-facing responses follow the configured language; commit messages, branch names, and PR titles/bodies stay in English.

Push and PR safety (only when requested)

  • Confirm the branch, upstream, and ahead/behind state before pushing.
  • If scm.require_pr_for_default_branch is true, use a topic branch and PR for default-branch changes, unless the user explicitly requested a direct push.
  • Keep the repository's required hooks/checks. A failure requires repair or an accurate partial result, not an assertion of success.
  • Verify that the requested commits reached the intended remote branch.

Amend, fixup, autosquash

Determine whether the target commit is shared using git log --oneline @{u}..HEAD when an upstream exists. If there is no upstream, inspect remote refs before assuming a commit is unshared. Keep unrelated staged changes out of the operation.

Resource scope and effects

Git operations change the index, local commits/refs, worktrees, and possibly remote refs. Read only relevant project configuration; never copy credential values into messages or reports. Apply .agents/skills/_shared/core/execution-policy.md to authorization and verification.

References

  • Commit syntax, types, co-author policy, and branch naming: resources/conventional-commits.md (commit requests)
  • Configuration-management operations: resources/cm-operations.md (governance/history/worktree tasks)
  • Merge risk and rollback: resources/merge-risk.md (large merges)
  • Ownership detail: resources/codeowners-playbook.md (CODEOWNERS work)
  • Onboarding indicators: resources/onboarding-risk-signals.md (repository-risk assessment)
  • Release observability: ../oma-observability/SKILL.md §Integrations (release markers and baseline comparisons)

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 Oma Scm AI skill do?

Manage Git branches, merges, conflicts, commits, and release baselines. Use for repository history and change-management operations.

Why use Oma Scm on TypingMind?

Because you install it once and use it with any model. Oma Scm 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 Oma Scm in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/first-fluke/oh-my-agent/tree/main/skills/oma-scm. 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 Oma Scm?

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 Oma Scm?

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

Is the Oma Scm AI skill free?

Yes. It is published on GitHub by first-fluke 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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