parallel-ship

parallel-ship is a skill for Claude Code, Codex from davidtheproduct/claude-ship-skills. It costs 90 tokens per session (1,068 once invoked), scanned A, original, MIT.

A workflow for shipping three or more related pull requests at the same time by assigning independent changes to separate background coding agents.

In plain words
What is it for?
Use it when work can be split across separate files or modules into independently shippable pull requests. It is not meant for changes that must happen in sequence or for a single change.
Why use it?
It reduces waiting when several changes do not depend on one another. It keeps the main session responsible for the shared analysis and final review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Use it when work can be split across separate files or modules into independently shippable pull requests. It is not meant for changes that must happen in sequence or for a single change.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidtheproduct/claude-ship-skills/parallel-ship
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add davidtheproduct/claude-ship-skills --skill parallel-ship
Clone the repo
git clone --depth 1 https://github.com/davidtheproduct/claude-ship-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for parallel-ship

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidtheproduct/claude-ship-skills/parallel-ship/github.svg)](https://agentmods.dev/skills/davidtheproduct/claude-ship-skills/parallel-ship)
Your own site
<a href="https://agentmods.dev/skills/davidtheproduct/claude-ship-skills/parallel-ship"><img src="https://agentmods.dev/badge/skills/davidtheproduct/claude-ship-skills/parallel-ship/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for parallel-ship

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidtheproduct/claude-ship-skills/parallel-ship"><img src="https://agentmods.dev/badge/skills/davidtheproduct/claude-ship-skills/parallel-ship.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 90 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,068 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00090 $0.01068
Opus 5 $0.00045 $0.00534
Sonnet 5 $0.00018 $0.00214
Haiku 4.5 $0.00009 $0.00107

Measured 12d ago against content hash b1bc75379353, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

parallel-ship scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/parallel-ship/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel Ship

Coordinate several PR-sized changes at once by launching background agents from the session that did the analysis, keeping high-risk changes (payments, auth, anything that shouldn't self-merge) in the main session.

This is the chairperson pattern in its parallel form: the session that did the analysis is the only one holding the verified facts, so it stays in charge - writing complete briefs for disposable worker agents, judging their reports against context only it holds - rather than handing off a lossy summary to fresh sessions.

When to use

  • One analysis/design context has produced 3+ shippable changes.
  • The changes touch disjoint files (check before launching; two agents on the same file = merge conflicts).
  • The spec for each change is concrete enough to write down (file paths, exact behavior, verification commands). If you cannot write the spec, the analysis is not finished - do not launch.

When NOT to use: sequential phases where PR N+1 builds on PR N's code (use epic-ship), or a single change (use ship-pr).

Workflow

  1. Carve the work into PRs by file/module boundary. One worktree per PR, all forked from the same base via bash ~/.claude/skills/ship-pr/scripts/worktree-new.sh <branch> (never stacked - each agent starts from the remote default branch, not from another agent's branch).
  2. Split by risk, not by size.
    • Mechanical/well-specified changes (new components, sweeps, copy, config) -> background agents, cheaper model is fine.
    • High-risk changes (payments, auth, data-integrity, anything that shouldn't self-merge) -> the MAIN session implements these itself, and they don't auto-merge even on green CI.
  3. Write self-contained agent specs. Each agent prompt must include: worktree setup (via ship-pr's worktree-new.sh, never edit the base checkout directly), exact file targets, any project-specific copy/style rules, verification commands (build/typecheck/test - fresh, not cached), commit message format, and "open PR with a DO NOT MERGE line, do not merge, do not close the worktree, return PR URL + decisions made."
  4. Launch disjoint agents in parallel; implement the risky PRs yourself while they run.
  5. Review each agent's report against your context - you hold the verified facts from the analysis pass, so judgment calls the agents made (placement, naming, edge cases) are cheap to check against it.
  6. Preview round: all PRs sit unmerged with preview links or gh pr diff. Relay feedback by resuming the same agents (they keep their worktree and context) rather than starting fresh ones.
  7. Merge in dependency order on the user's go, gh pr merge --squash --delete-branch, then close every worktree via ship-pr's worktree-close.sh.

Read the full file on GitHub · 44 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 44 lines · 90 tokens per session scan A b1bc75379353

Subscribe to this mod's changes

parallel-ship is a skill published in the GitHub repository davidtheproduct/claude-ship-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,068 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.