What is a workstream lane in ClawdStrike?

A lane is a bounded area of work with non-overlapping file ownership, allowing multiple agents to work in parallel without causing merge conflicts.

How does this skill handle shared files?

It identifies high-conflict assets and assigns ownership to the central orchestrator to ensure consistent registration and integration across lanes.

Does this skill launch AI workers automatically?

No, its primary purpose is to define the execution topology and metadata; it creates the plan and environment for workers to be launched separately.

What are .codex/swarm files?

These are metadata files (lanes.tsv and waves.tsv) used to synchronize, track, and automate the progress of different agent workstreams.

When is the best time to use the Orchestrator skill?

Use it when your technical specifications are mature and you are ready to decompose the project into coordinated, parallel execution units.

ClawdStrike Workstream Orchestrator

Name: ClawdStrike Workstream Orchestrator
Author: backbay-labs

bybackbay-labs

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273

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협업 도구

Orchestrates complex multi-agent development by defining parallel work lanes, dependency graphs, and explicit execution boundaries.

The ClawdStrike Workstream Orchestrator is a specialized tool for managing autonomous AI fleets during the transition from planning to execution. It transforms mature technical specifications into a structured execution topology by partitioning tasks into bounded lanes with clear file ownership, managing shared dependencies, and establishing strict verification gates. By generating precise metadata and agent briefs, it ensures that multi-agent swarms operate with high discipline, minimizing merge conflicts and maintaining sequential integrity through defined waves and merge orders.

주요 기능

01Automated creation of .codex swarm and wave metadata files

02Parallel workstream mapping and dependency graph generation

03Sequential wave advancement and merge discipline protocols

04Lane-specific verification matrices and agent briefs

05273 GitHub stars

06Explicit lane ownership and file boundary enforcement

사용 사례

01Partitioning a complex monolithic feature into parallelizable agent tasks

02Establishing coordination protocols for autonomous AI coding fleets

03Managing file ownership to prevent conflicts in high-velocity swarm development

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add backbay-labs/clawdstrike clawdstrike-workstream-orchestrator

For use in Claude.ai and ChatGPT

주요 기능

01Automated creation of .codex swarm and wave metadata files

02Parallel workstream mapping and dependency graph generation

03Sequential wave advancement and merge discipline protocols

04Lane-specific verification matrices and agent briefs

05273 GitHub stars

06Explicit lane ownership and file boundary enforcement

사용 사례

01Partitioning a complex monolithic feature into parallelizable agent tasks

02Establishing coordination protocols for autonomous AI coding fleets

03Managing file ownership to prevent conflicts in high-velocity swarm development

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add backbay-labs/clawdstrike clawdstrike-workstream-orchestrator

For use in Claude.ai and ChatGPT