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Pr Swarm

Community
Mathews-Tom
pr-swarm

Parallelizes two or more independent "own PR to green" loops for a single repository using isolated git worktrees and separate headless Claude Code sessions per PR — resolving merge conflicts, clearing review feedback, and watching CI to completion without one PR's diff or feedback leaking into another's context. Triggers on: "parallelize these PRs", "drive PR #123 and #456 to green in parallel", "own-PR-to-green fleet", "run these PRs concurrently", "isolated worktree loops for my PRs", "pr-swarm". Use this skill when a user has two or more already-open, file-disjoint pull requests in the same repository that each need conflict resolution, review-feedback triage, and CI monitoring, and wants them driven to merge-ready at the same time instead of one after another.

Overview

PublisherMathews-Tom
Repositoryarmory
Skill namepr-swarm
Stars
318
Forks
47
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 Mathews-Tom on GitHub. Read the source before you install it.

Installation

Install the Pr Swarm 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/Mathews-Tom/armory.git /tmp/armory
mkdir -p .claude/skills
cp -r /tmp/armory/skills/pr-swarm .claude/skills/pr-swarm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pr Swarm 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 Pr Swarm 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 Pr Swarm 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.

PR Swarm — Parallel Own-PR-to-Green Loops

Problem

A repository checkout can only have one branch active at a time. A user with N independent, already-open pull requests — disjoint branches, disjoint changed files, no real relationship between them — that each need conflict resolution, review-feedback triage, and CI watching wastes wall-clock time driving them one after another when nothing about them actually depends on each other.

Root cause

git worktree removes the one-checkout constraint: N branches can be checked out simultaneously, each in its own directory, sharing one .git object store. Combined with N independent headless Claude Code sessions (own process, own context window, own token budget — not subagents sharing this session's budget), the PRs can be driven to green concurrently with zero cross-talk.

Reference Files

FileContentsLoad When
references/launch-mechanics.mdclaude -p flags, detached background launch pattern, watchdog/liveness checks, exit-code capturePhase 5 (Launch)
references/verification-gates.mdGitHub API correctness pitfalls: stale mergeStateStatus, body-only bot reviews, stale statusCheckRollup entries, review-thread pagination, reacting to the first failing check instead of waiting for the full CI matrixPhase 6 (Monitor & Verify)
references/lane-prompt-template.mdThe literal per-lane task prompt (termination conditions, orientation, conflict resolution, watch loop)Phase 4 (Lane Prompt)

Scope boundary

This skill drives PRs that are already open. It does not create PRs from issues, does not decide whether unrelated PRs are safe to parallelize (that's Phase 2, and it's a hard stop on any real overlap, not a judgment call this skill makes silently), and does not resolve PRs closed by a maintainer for policy reasons — see "Mid-loop external closure" in Phase 6.

Workflow

Phase 1 — Resolve each PR

For every requested PR number N:

bash
gh pr view N --json number,state,headRefName,baseRefName,author,url,isCrossRepository
  • state != OPEN → drop this PR from the swarm and report why; do not silently skip it.
  • isCrossRepository == true (PR from an unrelated fork, not the user's own) → flag for confirmation before proceeding; this skill assumes the invoker's own fork/branch setup.
  • Author check: gh api user --jq .login vs. author.login. Mismatch is a warning, not a stop — co-driving a teammate's PR is legitimate, but the invoker should see it flagged.

Phase 2 — Independence check (mandatory, not optional)

Do this before creating any worktree. A user asserting "these are unrelated" is not proof — verify the actual changed files:

bash
for N in "${PRS[@]}"; do
  base="$(gh pr view "$N" --json baseRefName -q .baseRefName)"
  head="$(gh pr view "$N" --json headRefName -q .headRefName)"
  git fetch origin "$head:refs/remotes/origin/$head" --quiet
  merge_base="$(git merge-base "origin/$base" "origin/$head")"
  files["$N"]="$(git diff --name-only "$merge_base" "origin/$head")"
done

Pairwise-intersect files[N] against files[M] for every pair in the requested set. Any non-empty intersection → stop, report exactly which files and which two PRs collide, and ask before proceeding — running two lanes that touch the same file concurrently is exactly the failure mode this skill exists to prevent, not something to wave through because the user said it was fine.

Phase 3 — Worktree and branch naming (inferred, never asked for)

Short name derivation from each headRefName:

bash
raw="$head"                                   # e.g. feat/status-line-token-count
short="${raw#*/}"                             # strip one leading "<type>/" segment if present
short="$(echo "$short" | tr '[:upper:]_' '[:lower:]-' | tr -s '/' '-')"
[[ -n "${used[$short]:-}" ]] && short="${short}-${N}"   # disambiguate collisions with the PR number
used["$short"]=1

Worktree directory convention: check bunfig.toml / lockfile config / .gitignore for an existing .worktrees/** or .wt/** pattern first — that is the project's own sanctioned convention if present. Default to .worktrees/<short>/ when nothing is declared. Free the main checkout first if it currently holds one of the target branches (git switch main or another branch outside the set — a branch can be checked out in only one worktree).

bash
git worktree add ".worktrees/$short" "$head"

Per-worktree install is mandatory under a hoisted linker (check bunfig.toml for linker = "hoisted", or npm/yarn without workspaces hoisting): node_modules is not shareable across worktrees since each can have a different lockfile state. Run installs for all lanes in parallel, not serially.

Gitignored build artifacts don't come back with a fresh worktree checkout — native addons, generated code, compiled binaries. If the repo has any (check for *.node, .wasm, generated protobuf/codegen output, or a documented build step), rebuild or relink them per worktree before running tests; a lane that skips this fails with a confusing "module not found" that looks unrelated to its actual task.

Phase 4 — Lane prompt

Render references/lane-prompt-template.md per PR, substituting {PR_NUMBER}, {REPO} (owner/name), {WORKTREE_PATH}, and {OTHER_PR_NUMBERS} (the rest of the swarm, so the lane's own COI instruction is concrete, not abstract). Write each rendered prompt to a file in the worktree ($WORKTREE/.pr-swarm-prompt.md) rather than passing it inline — a multi-hundred-word prompt through shell quoting is a real failure mode, a file path is not.

Phase 5 — Launch

See references/launch-mechanics.md for the exact claude -p invocation, detachment pattern, and liveness-check mechanics. One lane per PR, launched independently — never chain multiple launches in a single tool call (each launch needs its own call so a launch failure for lane 2 doesn't silently ride on lane 1's success).

Phase 6 — Monitor and verify

Poll every ~60-120s with jitter: tail each lane's log, check liveness (see references/launch-mechanics.md for the zombie-PID trap). Never treat a lane's own self-reported completion as the gate. After a lane's process exits, independently re-verify via the checks in references/verification-gates.md — merge state, CI conclusion, unresolved review threads (including body-only bot reviews), and current state (a maintainer-closed PR looks identical to a healthy one on every other field).

A lane inheriting a PR that already has red CI or open feedback at launch is normal input, not a swarm-level stop condition — the independence check (Phase 2) governs whether the swarm proceeds, not the target PR's current health. Each lane's own orientation and watch loop react to that starting state directly (see references/lane-prompt-template.md): fix what's already visible first, and react to the first individually-failing check rather than waiting for every check in a CI run to finish, or for an admin-gated gh run rerun that a non-admin lane can't invoke anyway (see "React to the first failing check, not the full matrix" in references/verification-gates.md).

Phase 7 — Report

Per PR: final state/mergeStateStatus, CI conclusion, unresolved-thread count (including the body-only-review scan), worktree clean/dirty, lane process exit code. A lane that exited non-zero, or whose PR isn't independently confirmed clean by the checks above, is reported unresolved — a lane's own "done" message is never sufficient on its own.

Phase 8 — Teardown

Only after every lane is externally confirmed clean:

bash
git worktree remove ".worktrees/$short"

Leave any unresolved PR's worktree in place for continued work. Removing a worktree just because the batch finished, while that one PR is still dirty, destroys debugging context for no benefit.

Output

Report structure, filled in per swarm run:

text
## Resolution
#{N}: {short-name} — {state}, author={login}{, author mismatch flagged if applicable}
...

## Independence check
PASS — no changed-file overlap across {PRS}
  (or)
STOP — #{N} and #{M} both touch {path}; resolve before proceeding

## Worktrees
#{N} → .worktrees/{short-name} (branch {headRefName})
...

## Fleet status
| PR | state | mergeStateStatus | CI | unresolved threads | worktree | exit code |
|---|---|---|---|---|---|---|

## Teardown
#{N}: removed / left in place (reason)

A PR missing from the "Fleet status" table (dropped in resolution or blocked by the independence check) must still appear in "Resolution" with the reason — never silently omitted from the report.

Single-PR invocation

pr-swarm with exactly one PR still runs the full worktree-and-own-session path — no fast path that skips isolation. The value being delivered (own session, own context/budget, no shared state with the invoking conversation) doesn't depend on fan-out width; collapsing back to inline execution for N=1 would silently drop the one guarantee that was asked for.

Capacity sanity check

  • N concurrent bun/npm/test-suite runs is the real resource cost, not git or the GitHub API. Confirm core/RAM headroom before fanning out wide; on constrained machines, have lanes run targeted tests per iteration and reserve full suites for the final gate.
  • GitHub's REST/GraphQL rate limit (5000/hr authenticated) is nowhere near the ceiling at a 60-120s polling cadence for any realistic swarm size.
  • Disk: each worktree needs its own node_modules (or equivalent) under a hoisted linker. Budget accordingly — this is the correct tradeoff for true isolation, not a shortcut to avoid.
  • Lane wall-clock is asymmetric: a PR that's already mergeable can self-verify and exit in minutes; a PR needing real conflict resolution plus a native rebuild can run for hours with all-green CI. Don't read one lane's fast exit as a signal the others are stuck.

Error Handling

ProblemResolution
PR number not found / no read accessDrop from swarm, report, continue with the rest
PR state != OPENDrop from swarm, report why, do not attempt to reopen
Two or more PRs share a changed file (Phase 2)Stop before creating any worktree; report the exact overlap and ask
Branch already checked out in the main worktreegit switch it away before git worktree add
Worktree directory already exists from a prior runReuse it if the branch matches; otherwise stop and ask (don't silently overwrite)
Hoisted-linker install fails in one laneThat lane's setup fails independently; other lanes proceed unaffected
PR already has failing CI checks or unresolved feedback when the swarm launchesNot a stop condition — the lane starts by fixing what's already visible instead of waiting on a clean baseline (see references/verification-gates.md)
gh not authenticated, or missing repo/workflow scopesStop before Phase 1 — nothing downstream can function without it

Verification

  • Every reported-clean PR was checked with the current state, not a cached read from earlier in the run
  • Independence check (Phase 2) ran and passed before any worktree was created
  • Every unresolved-thread count includes the body-only-review scan (references/verification-gates.md), not just reviewThreads
  • Every lane's exit code was captured, not inferred from log tail alone
  • Teardown only ran for lanes independently confirmed clean

Red Flags

  • Trusting a lane's final log line ("PR is ready to merge") without an independent gh pr view re-check
  • Skipping Phase 2 because "the user said they're unrelated"
  • Removing a worktree for a lane whose PR isn't confirmed clean, because the batch as a whole finished
  • Counting reviewThreads.isResolved == false as the complete unresolved-feedback signal without also scanning review bodies
  • A lane waiting for a full CI matrix to finish, or for an admin-gated gh run rerun, before reacting to a check that already failed or feedback that already landed

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 Pr Swarm AI skill do?

Parallelizes two or more independent "own PR to green" loops for a single repository using isolated git worktrees and separate headless Claude Code sessions per PR — resolving merge conflicts, clearing review feedback, and watching CI to completion without one PR's diff or feedback leaking into another's context. Triggers on: "parallelize these PRs", "drive PR #123 and #456 to green in parallel", "own-PR-to-green fleet", "run these PRs concurrently", "isolated worktree loops for my PRs", "pr-swarm". Use this skill when a user has two or more already-open, file-disjoint pull requests in the...

Why use Pr Swarm on TypingMind?

Because you install it once and use it with any model. Pr Swarm 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 Pr Swarm in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Mathews-Tom/armory/tree/main/skills/pr-swarm. 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 Pr Swarm?

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 Pr Swarm?

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

Is the Pr Swarm AI skill free?

Yes. It is published on GitHub by Mathews-Tom 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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