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Oma Scm

OrganizationPopular
first-fluke
oma-scm

SCM (software configuration management) and Git — branching, merges, conflicts, worktrees, baselines, audit readiness, plus Conventional Commits and safe staging.

Overview

Publisherfirst-fluke
Repositoryoh-my-agent
Skill nameoma-scm
Stars
1.4K
Forks
151
Bundled files
4
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.

  • 4 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.
    https://github.com/first-fluke/oh-my-agent/tree/main/benchmarks/runs/oma/.agents/skills/oma-scm
  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/benchmarks/runs/oma/.agents/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 — SCM (oma-scm)

Scheduling

Goal

Manage Git and software configuration management safely: commits, branches, merges, worktrees, releases, baselines, audit posture, CODEOWNERS, and Conventional Commits.

Intent signature

  • User asks to commit, stage, branch, merge, rebase, cherry-pick, tag, release, resolve conflicts, manage worktrees, inspect SCM posture, or apply Conventional Commits.
  • User needs safe Git operations with explicit file staging, secret awareness, and CM governance.

This skill is the single place for configuration management (CM) on a software repo and for Conventional Commits / safe staging.

When to use

  • Commits: “commit this”, /scm, message type/scope, splitting staged changes into multiple commits.
  • CM / Git: branching (gitflow, GitHub Flow, GitLab Flow, trunk-based), protected branches, merge queue, merge conflicts, rebase, cherry-pick, worktrees, submodules/subtrees, tags and releases.
  • Governance: issue/ADR links, breaking-change footers, changelog or release-tool alignment.
  • Audit posture: signed commits, CI before merge, secret-sensitive paths.

When NOT to use

  • Implementing product or application code -> use the relevant domain skill
  • Debugging runtime failures without a Git or CM operation -> use oma-debug
  • Security, performance, or accessibility review -> use oma-qa
  • Planning feature requirements or decomposing work -> use oma-pm

Expected inputs

  • Git task, desired branch/commit/release operation, and affected files
  • Current worktree status, staged diff, branch tracking, config files, and governance constraints
  • Optional issue/ADR/PR/release context

Expected outputs

  • Safe commit, branch, merge/rebase guidance, conflict plan, status accounting, or CM audit findings
  • Conventional Commit message and explicit staged paths when committing
  • Risk notes for shared history, secrets, CODEOWNERS, CI, and release evidence

Dependencies

  • Git CLI and repository metadata
  • config/commit-config.yaml, config/cm-config.yaml, Conventional Commit references, onboarding-risk and CODEOWNERS playbooks

Control-flow features

  • Branches by quick commit path versus full CM/governance path
  • Reads Git state and diffs; may write commits, branches, tags, or conflict resolutions
  • Requires explicit approval for broad staging, shared-history rewrite, production-destructive operations, or secret-risk paths

Structural Flow

Entry

  1. Inspect Git status, branch, staged/unstaged changes, and user intent.
  2. Choose Quick Path for ordinary commits or Full CM Path for governance/risky history work.
  3. Read commit and CM config before enforcing project-specific rules.

Scenes

  1. PREPARE: Determine operation type, risk, and affected files.
  2. ACQUIRE: Read status, diff, logs, config, ownership, and release context.
  3. REASON: Split changes, choose message/scope, identify CM controls and risks.
  4. ACT: Stage explicit paths, commit, branch, resolve, or provide CM action plan.
  5. VERIFY: Check status, staged diff, CI expectations, signatures, secrets, and audit evidence.
  6. FINALIZE: Report operation result and remaining SCM tasks.

Transitions

  • If user intent is commit-only, follow Quick Path and stop after safe commit.
  • If branching/history/release/governance is involved, run Full CM Path.
  • If shared history rewrite is requested, require maintainer approval.
  • If changes span independent features, split commits unless user requests one commit.

Failure and recovery

  • If worktree is dirty in unrelated files, avoid touching unrelated changes.
  • If conflicts exist, resolve markers, test, and preserve target-branch context.
  • If secrets are detected or suspected, stop before staging/committing.

Exit

  • Success: requested SCM operation is complete or a safe, auditable plan is delivered.
  • Partial success: blockers such as conflicts, missing approval, CI, or secret risk are explicit.

Logical Operations

Actions

ActionSSL primitiveEvidence
Read Git stateREADgit status, diff, log, config
Select SCM pathSELECTQuick Path vs Full CM Path
Compare change scopesCOMPARESplit by type/scope/feature
Validate commit/governance rulesVALIDATEConfig and CM controls
Stage explicit filesCALL_TOOLgit add <specific-files>
Commit or manage refsCALL_TOOLGit commit/branch/merge/rebase/tag
Write audit notesWRITECommit message or CM report
Report resultNOTIFYFinal SCM summary

Tools and instruments

  • Git CLI and repository metadata
  • Commit/CM config, Conventional Commit guide, CODEOWNERS playbook, onboarding-risk signals

Canonical command path

bash
git status -sb
git diff --staged
git log --oneline -5

Stage and commit only explicit paths:

bash
git add <specific-files>
git commit -m "$(cat <<'EOF'
<type>(<scope>): <description>

[optional body]
EOF
)"

Resource scope

ScopeResource target
CODEBASETracked files, diffs, conflicts, CODEOWNERS
LOCAL_FSGit metadata, config files, commit message temp files
PROCESSGit commands and verification commands
CREDENTIALSSecret-sensitive files must not be staged or committed

Preconditions

  • Repository and Git intent are identifiable.
  • User has authorized the requested SCM operation.

Effects and side effects

  • May stage files, create commits, branches, tags, worktrees, or history operations.
  • Can affect shared repository history if unsafe commands are used, so approvals matter.

Guardrails

  1. Choose Quick Path for ordinary commits and Full CM Path for branching, history, release, or governance work.
  2. Read config/commit-config.yaml and config/cm-config.yaml before applying project-specific commit or CM rules.
  3. Stage only explicit files; never use broad staging unless the user explicitly approves it.
  4. Do not rewrite shared history without maintainer approval.
  5. Never stage or commit likely-secret material.

Configuration

FileRole
config/commit-config.yamlConventional Commit types, branch prefixes, message rules
config/cm-config.yamlCM pointers — documented process, branching model, baselines, changelog

Operating mode (choose first)

Quick Path (commit-focused, default)

Use this when the user intent is mainly "commit this safely."

  1. Follow Conventional Commits section only
  2. Stage explicit files only
  3. Validate message type/scope/length from commit-config.yaml
  4. Stop after safe commit unless user asks CM/governance operations

Full CM Path (repo governance / risky history operations)

Use this when the user asks about branching strategy, merges, rebase/cherry-pick, worktrees, release refs, CODEOWNERS, or audit posture.

  1. Run CM workflows in order (Planning -> Identification -> Control -> Status accounting -> Verification)
  2. Add onboarding risk scan when inheriting or auditing a repository
  3. Include commit governance from Conventional Commits when creating commits
  4. For large-scope merge operations, use risk scoring and Ask Gate criteria from ../../workflows/scm.md

CM process map (software)

CM functionIntentTypical artefacts / actions
Management & planningAgreed rulesCONTRIBUTING.md, SECURITY.md, cm-config.yaml
Configuration identificationWhat is managed, namingBranch/tag rules, version files, .gitattributes, LFS
Configuration controlReviewed changePRs, checks, issue links, BREAKING CHANGE footers
Status accountingAs-built truthmain / release refs, CHANGELOG, tags, CI status
Verification & auditEvidenceCI logs, signed commits, lockfiles / SBOM policy

CM workflows (use before risky history operations)

1) Planning

  1. Read cm-config.yaml and files listed under documented_process.
  2. If missing, infer from CONTRIBUTING.md / README; state assumptions.
  3. Confirm branching model and whether force-push on shared branches is allowed (default: not without explicit approval).

2) Identification

  1. Canonical refs: default branch, release branches/tags, version sources (package.json, etc.).
  2. .gitattributes / LFS for binaries and generated assets.
  3. Branch names vs commit-config.yaml branch_prefixes when the project uses them.

3) Control

  1. Small, reviewable units; align commits with PR / issue intent.
  2. Conflicts: merge-base, git status, resolve markers, tests; suggest rerere when conflicts repeat.
  3. Worktrees: git worktree add; merge/rebase from the target branch’s checkout; all worktrees share one object database.
  4. Do not rewrite shared history without maintainer approval; prefer --force-with-lease if force-push is unavoidable.

4) Status accounting

  1. git status -sb: branch, remote tracking, ahead/behind, merge state.
  2. Relate last tag / release branch to CHANGELOG or tooling (semantic-release, release-please, changesets) if present.

5) Verification & audit

  1. Required CI and merge_group when merge queue applies.
  2. Never stage/commit secrets (.env, keys, raw tokens).
  3. Call out signed-commit expectations when the org cares about verification badges.
CODEOWNERS maintenance checklist
  1. Validate CODEOWNERS file exists (prefer .github/CODEOWNERS).
  2. Ensure critical paths are explicitly owned (not only fallback *).
  3. Ensure owners are active and mapped to current teams.
  4. Confirm branch protection requires CODEOWNERS review where needed.
  5. Flag overlapping/ambiguous rules that can hide intended owners.

Read change_governance.require_codeowners and ownership.* in cm-config.yaml when present.

6) Onboarding risk scan (optional, recommended)

Use this quick scan when joining or inheriting a repository to identify risky areas before major changes.

  1. High churn files in lookback window.
  2. Ownership concentration / bus-factor signals.
  3. Bug hotspot files from fix-related history.
  4. Velocity trend by month.
  5. Revert/hotfix/emergency frequency.

Read thresholds from cm-config.yaml onboarding_metrics when present and cite caveats:

  • squash merge teams can distort ownership metrics,
  • weak commit labeling reduces hotspot accuracy,
  • monorepo commit counts can bias subsystem interpretation.

Conventional Commits

Commit types

TypeDescriptionBranch Prefix
featNew featurefeature/
fixBug fixfix/
refactorCode improvementrefactor/
docsDocumentation changesdocs/
testTest additions/modificationstest/
choreBuild, configuration, etc.chore/
styleCode style changesstyle/
perfPerformance improvementsperf/

Commit format

<type>(<scope>): <description>

[optional body]

Co-Authored-By: First Fluke <our.first.fluke@gmail.com>

Commit workflow

Step 1: Analyze changes
bash
git status
git diff --staged
git log --oneline -5
Step 1.5: Split by feature (if needed)

If changes span multiple features/domains, split commits by feature.

Split when: different scopes, different types, logically independent work.

Do not split when: one feature, few files (≤5), or user asked for a single commit.

Step 2: Determine type
  • New capability → feat · Bug fix → fix · Structure-only → refactor · Docs only → docs · Tests → test · Build/config → chore
Step 3: Scope

Use module/component: feat(auth):, fix(api):, or omit: chore: update dependencies

Step 4: Description

≤72 chars (per commit-config.yaml), imperative mood, lowercase start, no trailing period.

Step 5: Execute commit

Show the message, then commit with explicit paths:

bash
git add <specific-files>
git commit -m "$(cat <<'EOF'
<type>(<scope>): <description>

[optional body]
EOF
)"

If HEREDOC is unstable in your shell (or body is long), use file-based commit input:

bash
git add <specific-files>
cat > /tmp/oma-commit-msg.txt <<'EOF'
<type>(<scope>): <description>

[optional body]
EOF
git commit -F /tmp/oma-commit-msg.txt

Use HEREDOC by default, and switch to -F for long or flaky terminal sessions.

References

  • config/commit-config.yaml
  • config/cm-config.yaml
  • resources/conventional-commits.md
  • resources/onboarding-risk-signals.md
  • resources/codeowners-playbook.md

Important notes

  • NEVER git add -A or git add . without explicit user permission.
  • NEVER commit likely-secret material.
  • ALWAYS stage by explicit paths; tie non-trivial CM work to the five CM rows above, even briefly.

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?

SCM (software configuration management) and Git — branching, merges, conflicts, worktrees, baselines, audit readiness, plus Conventional Commits and safe staging.

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/benchmarks/runs/oma/.agents/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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