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Development Team Pod Workflow

Guides an AI agent through building, verifying, and handing off software work within a development pod

Source Download skill
Repository
mvschwarz/openrig
Stars
8,553
Licence
Apache-2.0
Files
2 files

What it does

When an AI agent is working as part of a development team (a group of agent seats with builder, QA and design roles), this skill tells it how to start from the assigned task, read the project's planning files, build and verify a change, and hand off the result. It asks the agent to reproduce bugs before fixing them, test through public interfaces, and report exact evidence and remaining uncertainty rather than claiming success. It also points to a refactoring guide for consolidation work.

Great for

  • Developers running multi-agent development pods built on the OpenRig framework
  • Teams that want agents to follow a consistent build, test and handoff process
  • Maintainers who want to see how OpenRig structures agent roles and handoffs

Skip it if

  • Solo use outside OpenRig: it relies on OpenRig commands (rig whoami) and files (project.yaml, mission.yaml, slice.yaml) that a general agent will not have, so much of it will not apply
  • Anyone expecting it to run code or change files by itself: it is guidance text, and the commands it names are run only if the agent chooses to run them in its environment

Try asking

  • “Start implementation of the next slice in our development pod and follow the team's handoff process”
  • “Reproduce this login bug, write a failing test, then fix it and report the evidence”
  • “Refactor the payment module's duplicated logic following the team's refactoring guide”
  • “Pick up QA handoff from the builder and verify the delivered behavior against the contract”
Step-by-step guide: how to use Development Team Pod WorkflowInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the Apache-2.0 licence and an attribution note.

    development-team.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip development-team.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip development-team.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Install this inside an OpenRig pod so the rig whoami and file lookups resolve; otherwise expect the agent to improvise.
  • Name the QA or reviewer role explicitly in your request if you need independent review, since the skill otherwise lets one seat hold several roles.
  • Pair it with the refactoring reference when changing existing behavior, and ask the agent to show commands and results in its report.

What's inside

  • references/refactoring.md
  • SKILL.md

Redistributed unmodified from mvschwarz/openrig under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.