Mike Schwarz

Look up exact syntax, options, JSON output, defaults, and error meanings for a known OpenRig command. Use the reference to check command behavior and diagnose runtime differences against the installed help and running daemon.

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• Checking required flags for a known rig command
• Looking up queue commands and handoff syntax
• Investigating command errors and daemon compatibility

Define reusable OpenRig agent setups, roles, and workflows in specification files. Review dependencies that prevent use on another host, distinguish specifications from bundles and extensions, and verify both file structure and actual execution.

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• Defining reusable agent roles and workflows
• Reviewing specifications for use on another host
• Testing specifications in a clean OpenRig environment

Develop features and fix bugs by writing a behavior test first, observing its expected failure, and adding the minimum code needed to pass. Then clean up the code while keeping tests passing, applying this process where regression risk warrants it.

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• Developing a feature from a failing behavior test
• Reproducing a bug before implementing its fix
• Refactoring while keeping behavior tests passing

Design an OpenRig agent team around a project goal. Create team and agent specifications, role guidance, and collaboration rules, then validate the setup and diagnose problems with startup instructions or agent coordination.

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• Designing an implementation and QA pair
• Creating a team with development and independent review
• Writing role guidance and team collaboration rules

Help a long-running agent reconnect with the intended product outcome after context compaction or a major work transition. Trace the current work hierarchy and read relevant source files to rebuild grounding before the next consequential action.

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• Restore context after conversation compaction
• Recheck the intended outcome during a long session
• Review the work hierarchy before an important action

Review how an AI agent loads, retains, summarizes, and shares working information. This historical guide helps examine forgotten constraints, repeated actions, tool selection, and handoffs using context engineering practices published in 2024–2025.

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• Reviewing information loaded at startup versus on demand
• Investigating repeated actions or forgotten constraints
• Planning summaries and persistent task notes

Create reusable starting configurations that combine an agent’s role, startup context, and source history. The skill guides registry entries, checks whether their sources are current, and manages their progression from initial capture to recommendation or retirement.

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• Create reusable startup context for an agent role
• Refresh an agent workspace from an existing starter
• Check a starter’s source history and freshness