Agent Merge Conflict Arbiter logo

Agent Merge Conflict Arbiter

OrganizationPopular
NousResearch
agent-merge-conflict-arbiter

Neutral arbiter for merge conflicts between two agents.

Overview

PublisherNousResearch
Repositoryhermes-agent
Skill nameagent-merge-conflict-arbiter
Stars
250.4K
Forks
53.5K
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 NousResearch on GitHub. Read the source before you install it.

Installation

Install the Agent Merge Conflict Arbiter 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/NousResearch/hermes-agent/tree/main/optional-skills/autonomous-ai-agents/agent-merge-conflict-arbiter
  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/NousResearch/hermes-agent.git /tmp/hermes-agent
mkdir -p .claude/skills
cp -r /tmp/hermes-agent/optional-skills/autonomous-ai-agents/agent-merge-conflict-arbiter .claude/skills/agent-merge-conflict-arbiter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Merge Conflict Arbiter 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 Agent Merge Conflict Arbiter 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 Agent Merge Conflict Arbiter 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.

Agent Merge-Conflict Arbiter

Resolve a git merge conflict between two AGENTS' branches as an impartial third party. Agents resolving conflicts against a peer's work reliably either overwrite the peer or abandon their own change — they lack the peer's context and are biased toward their own side. This skill is the fix: a neutral reconciler that receives both diffs plus both sides' stated intents and produces a merged result, like a merge-queue arbiter.

When to Use

  • Two agent branches/worktrees collide during a parallel campaign (kanban engineering pipeline, parallel-PR wave, multi-worktree refactor).
  • git merge or git rebase halts on conflicts between two agents' work and neither original agent should self-adjudicate.
  • Do NOT use for conflicts within a single agent's own work, or for trivial lockfile/generated-file conflicts (regenerate those instead).

Prerequisites

  • A repo checkout containing the halted merge, or the two branch names plus permission to run the merge yourself.
  • Both sides' intent sources: kanban completion summaries (terminal running hermes kanban show <task-id>), PR bodies, or at minimum each branch's commit messages.
  • The project's build/test command, if one exists.

How to Run

Standalone — a human (or agent) invokes this skill inside the conflicted repo: load the skill, then follow the Procedure top to bottom.

Spawned neutral agent — the preferred shape in multi-agent campaigns:

  • delegate_task: spawn a subagent whose task message contains the repo path, both branch names, and both sides' intent summaries verbatim, plus an instruction to follow this skill.
  • Kanban-native: create a reconciliation card assigned to a third profile (not either worker's profile) with BOTH conflicted cards linked as parents — kanban_create(title="reconcile branch-a x branch-b", assignee="reconciler", parents=["t_a", "t_b"]). The parent links carry both sides' completion summaries into the reconciler's context automatically; the card body should name the repo path and the two branches.

Quick Reference

Hunk classDefinitionResolution
disjoint-intentThe two changes serve different goals and can coexistCombine both
same-question-different-answerBoth sides answered one design question differentlyPick ONE per stated intents; surface the decision
supersededOne side's premise no longer holds after the other's changeKeep the surviving side; note why

Impartiality contract: never favor the side that spawned you; touch ONLY conflicted regions (no drive-by edits); every design-question pick must appear explicitly in the hand-back summary.

Procedure

1. Gather both sides

  • Run via terminal: git status (confirm the conflicted state and list conflicted files), git merge-base <A> <B>, then for each side git log --oneline <base>..<side> and git diff <base>..<side> -- <file> for every conflicted file. In a halted merge, HEAD is one side and MERGE_HEAD is the other.
  • Collect each side's intent: hermes kanban show <task-id> for completion summaries/metadata, or the PR body, or the commit messages from the log above. Write down one sentence of intent per side before touching any file.
  • Done when: you can state both intents in your own words and have both diffs for every conflicted file.

2. Classify every conflicted hunk

  • Open each conflicted file with read_file and locate each <<<<<<</=======/>>>>>>> block.
  • Assign each hunk exactly one class from the Quick Reference table, judging by the stated intents — not by which change looks nicer.
  • If a single hunk contains multiple independent decisions (e.g., new logic that combines cleanly PLUS a styling/rounding choice both sides answered differently), decompose it into sub-decisions and classify each one.
  • A single file often mixes classes: one hunk may be a design collision while a neighboring hunk is disjoint. Classify per hunk, not per file.
  • Done when: every hunk has a written class and a one-line rationale.

3. Resolve under the impartiality contract

  • Edit each hunk with patch (or write_file for whole-file rewrites):
    • disjoint-intent → merge both changes so each intent is fully served.
    • same-question-different-answer → pick the answer that best serves the STATED intents (e.g., an intent of "strict validation" beats "quick default" if the task required correctness). Never split the difference into a hybrid neither side asked for.
    • superseded → keep the surviving side; delete the dead premise.
  • Never favor the side that spawned you. If intents genuinely tie, escalate (block the kanban card / report back) rather than guess.
  • Change nothing outside conflict markers — no formatting, renames, or opportunistic fixes.
  • git add each resolved file via terminal.
  • Done when: search_files finds no <<<<<<< markers in the repo and every resolved file is staged.

4. Verify

  • Run the project's build/tests via terminal; at minimum import/execute the touched modules. Both intents must be observable in the merged behavior (e.g., side A's new semantics AND side B's disjoint addition both present).
  • Complete the merge: git commit (the default merge message plus a body listing hunk decisions is fine).
  • Done when: verification passes and the merge commit exists.

5. Hand back

  • Produce a completion summary naming EVERY hunk decision: file:lines — class — which side(s) kept — rationale. For every same-question-different-answer hunk, state the design question and the answer you picked so a human can veto it — never bury a design call.
  • Kanban: kanban_complete(summary=...). Standalone: print the summary.
  • Done when: the summary is delivered and lists all hunks.

Pitfalls

  • Self-favoring: if you were spawned by one of the conflicting agents, you are structurally biased — state this and weigh the other side's intent deliberately. Prefer the third-profile shape so this never arises.
  • Splitting the difference on a design collision produces a hybrid nobody designed; pick one answer and surface it.
  • Per-file classification: files usually mix hunk classes; classifying a whole file as one class silently drops a disjoint change.
  • Drive-by edits make the merge unreviewable and steal decisions from the original agents.
  • Missing intents: commit messages alone can be thin; prefer kanban completion summaries or PR bodies. If neither side's intent is recoverable, escalate instead of guessing.
  • Repeat offenders: repeated conflicts on the SAME file across rounds are a hotspot signal, not routine reconciliation work — flag it (e.g. a hotspot: <path> — <reason> kanban comment) so the orchestrator decomposes that file, rather than serially reconciling every new collision on it.

Verification

  • git status shows a clean tree on the target branch with a merge commit.
  • No conflict markers remain (search_files pattern <<<<<<<).
  • Build/tests pass; both sides' intents are demonstrably present or the dropped one is explicitly named in the summary.
  • The hand-back summary enumerates every hunk with class and rationale.

Frequently asked questions

What does the Agent Merge Conflict Arbiter AI skill do?

Neutral arbiter for merge conflicts between two agents.

Why use Agent Merge Conflict Arbiter on TypingMind?

Because you install it once and use it with any model. Agent Merge Conflict Arbiter 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 Agent Merge Conflict Arbiter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/autonomous-ai-agents/agent-merge-conflict-arbiter. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Merge Conflict Arbiter?

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 Agent Merge Conflict Arbiter?

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

Is the Agent Merge Conflict Arbiter AI skill free?

Yes. It is published on GitHub by NousResearch 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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