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/bunqueue-dev

Internal skill for contributing to bunqueue - architecture, testing, code conventions, and development workflow

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bunqueue
5282 skills2 agents1 MCP
Install
$ npx -y skills add egeominotti/bunqueue --skill bunqueue-dev --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/bunqueue-dev

Context preview

The summary Claude sees to decide when to auto-load this skill.

Internal skill for contributing to bunqueue - architecture, testing, code conventions, and development workflow

SKILL.md

bunqueue-dev.SKILL.md
name: bunqueue-dev
description: Internal skill for contributing to bunqueue - architecture, testing, code conventions, and development workflow
disable-model-invocation: false
user-invocable: false
allowed-tools: Read, Grep, Glob, Bash, Edit, Write

bunqueue Development Guide

You are working on **bunqueue**, a high-performance job queue for Bun with SQLite persistence.

Architecture

bunqueue uses a sharded priority queue architecture:

  • **Shards**: Auto-detected from CPU cores (power of 2, max 64). Jobs are assigned via `fnv1aHash(queue) & SHARD_MASK`
  • **Persistence**: SQLite in WAL mode with a 10ms WriteBuffer for batching writes
  • **Transport**: TCP (msgpack) on port 6789, HTTP on port 6790
  • **Two modes**: Embedded (in-process) and TCP (client-server)

Request Flow

1. **PUSH**: Client -> TcpPool -> TcpServer -> QueueManager -> Shard -> PriorityQueue -> WriteBuffer -> SQLite 2. **PULL**: Client -> TcpServer -> QueueManager -> Shard -> PriorityQueue.pop() 3. **ACK**: Client -> TcpServer -> AckBatcher -> Shard.complete() -> jobResults (LRU) 4. **FAIL**: Client -> TcpServer -> Shard.fail() -> retry (backoff) OR -> DLQ

Directory Structure

src/
  cli/              # CLI interface
  client/           # SDK (Queue, Worker, FlowProducer, Bunqueue)
    queue/          # Queue with DLQ, stall detection
    worker/         # Worker with heartbeat, ack batching
    tcp/            # Connection pool, reconnection
    workflow/       # Workflow Engine (Workflow DSL, Engine, Executor, Store)
  domain/           # Pure business logic
    queue/          # Shard, PriorityQueue, DlqShard, UniqueKeyManager
  application/      # Use cases and managers
    operations/     # push, pull, ack, query, queueControl
  infrastructure/   # Persistence, server, scheduler, backup
  shared/           # Utilities (hash, lock, lru, skipList, minHeap)

Workflow Engine

Located in `src/client/workflow/`. Pure consumer layer on bunqueue (no core modifications).

  • **workflow.ts** — Fluent DSL: `.step()`, `.branch()`, `.path()`, `.waitFor()`
  • **engine.ts** — Public facade: register, start, signal, getExecution, close
  • **executor.ts** — Core logic: step execution, branching, compensation, signals
  • **store.ts** — SQLite persistence for execution state (workflow_executions table)
  • **types.ts** — StepContext, Execution, StepJobData, EngineOptions, etc.
  • Export: `import { Workflow, Engine } from 'bunqueue/workflow'`

Code Conventions

  • **MAX 300 lines per file** - split if larger
  • One concern per file (Single Responsibility)
  • Export only what's needed
  • Lock hierarchy: `jobIndex` -> `completedJobs` -> `shards[N]` -> `processingShards[N]`

Testing (MANDATORY before any commit)

Run tests in fresh isolated OrbStack Machines on the Mac's native architecture. The canonical gate is Ubuntu 24.04 (4 CPUs, request 16 GiB memory, 32 GiB disk); every release also uses Debian 13 on the same native architecture. On Apple Silicon use `arm64`; GitHub Actions provides the independent native `amd64` gate. A Rosetta-translated `amd64` Machine is diagnostic only. Create Machines with `--isolated --isolate-network`, never mount host paths or forward credentials, transfer only a sanitized worktree snapshot, pin Bun to the CI version, record effective cgroup limits, and delete each Machine after copying its logs. Direct macOS-host runs are diagnostic only. Machine runs supplement the mandatory Docker sandbox and never replace it.

bun test                                # Unit tests (~5000 tests)
bun scripts/tcp/run-all-tests.ts        # TCP integration tests (~50 suites)
bun scripts/embedded/run-all-tests.ts   # Embedded integration tests (~35 suites)
bun run test:sandbox                    # Additional container isolation gate

All product suites and the sandbox must pass. No exceptions.

Bug Fixing Process

NEVER fix a bug directly. Always: 1. Write a test that reproduces the bug 2. Launch subagents to fix the bug 3. Prove the fix with a passing test

Publishing

After every commit: 1. Bump version in `package.json` 2. Update changelog in `docs/src/content/docs/changelog.md` 3. `git push origin main` 4. `bun publish`

Read more
Ships withbunqueue

⚡ High-performance job queue for Bun. SQLite persistence, DLQ, cron jobs, S3 backups. Built for AI agents and automation

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TypeScript
Language
MIT
License
4d ago
Last commit
6mo ago
Created

Repo: egeominotti/bunqueue