Mike Schwarz

Organize knowledge and specifications in OpenRig so agents can find the right context and preserve what they learn. The skill explains where files belong and how to read documents from a local role up to broader shared guidance.

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• Choosing where to record a lesson
• Preparing role knowledge for a handover
• Tracing work back to its purpose and shared practices

Manage OpenRig development work from setup to completion using shared specification, progress, and evidence files. Record what was actually checked and pass work to the next owner so handoffs and conversation compaction preserve the context.

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• Starting a development task with clear completion criteria
• Recording progress and verification evidence
• Handing work to another agent

Helps an agent take over an existing role after a planned handover. It guides checks of inherited records, identity, authority, and recurring duties, while explaining how to recover the predecessor’s reasoning and preserve lessons for the next agent.

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• Getting oriented after a planned agent handover
• Checking inherited records and recurring duties
• Recovering the reasoning behind earlier decisions

Plan and verify OpenRig startup, shutdown, and recovery. Compare reported status with actual running sessions, distinguish recovery outcomes, and define reboot tests that expose partial failures instead of hiding them behind a fresh launch.

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• Checking rig status after a host reboot
• Designing recovery tests across runtimes
• Investigating partially restored agent sessions

Turn rough feature ideas into a clear SPEC.md through focused questions. Define target users, business rules, current scope, and acceptance criteria based on observable results, giving developers or AI agents concrete requirements to implement.

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• Turning rough feature ideas into requirements
• Defining observable acceptance criteria
• Clarifying current scope and exclusions

Create screen mockups at three levels: text wireframes, standalone HTML files, or working prototype pages. Use requirements, existing app styles, and real project data to show layouts and interactions for review or testing.

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• Sketch screen layouts while writing requirements
• Deliver HTML mockups alongside requirements
• Test interactions with existing components

Investigate bugs, failed tests, and unexpected behavior through reproducible steps, evidence gathering, and comparison with working code. Test one hypothesis at a time, then implement a focused fix and verify it with tests.

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• Investigating failed tests or builds
• Tracing production bugs across components
• Reassessing a problem after repeated failed fixes

Open terminal views for OpenRig agents in cmux, grouped by rig, pod, mission, slice, or saved view. Inspect connection health and view agent sessions with read-only access where required, while keeping the underlying sessions running.

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• View a rig's agent terminals together in cmux
• Monitor mission or slice terminals in read-only mode
• Reopen a saved terminal view

Guide OpenRig CLI and background service upgrades while protecting active sessions and local file changes. The skill provides staged checks, verified database backups, selective plugin refreshes, and migration helpers, with evidence checked after each change.

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• Upgrading OpenRig while preserving active sessions
• Backing up and checking the database before an upgrade
• Refreshing managed plugins while preserving local edits

Review assigned code changes against project conventions, architecture, and intended behavior. Verify findings with source code and tests, classify their severity, and record a merge readiness verdict, with an optional deeper process for independent reviews and resolving disagreements.

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• Reviewing assigned code changes
• Checking duplication and inconsistent patterns
• Reviewing fixes that lack a written specification

Coordinate work across an OpenRig agent team with clear assignments, attached context, completion criteria, and selected review checkpoints. Track queue status, identify blocked or idle owners, and resolve handoff gaps while leaving implementation with the assigned agents.

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• Assign agent tasks with context and completion criteria
• Identify blockers and missed handoffs from queue status
• Route reviews at the agreed milestones

Understand how OpenRig organizes a team of coding agents. This skill explains the main terms, shows how to identify an agent’s role and peers, and clarifies where skills and working context come from.

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• Getting oriented in a new OpenRig environment
• Understanding rig, pod, and seat terminology
• Checking where skills and context come from

Set up OpenRig to run a team of coding agents, including Claude Code and Codex. Open the team interface, pass project goals to its operator, reconnect to agents, and follow assigned work through to its results.

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• Installing OpenRig and starting a coding team
• Returning to an existing team's interface
• Passing project goals to the team operator

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

Review feature plans before development from business strategy, user experience, and engineering perspectives. Receive scored assessments, specific gaps tied to requirements, and prioritized actions that clarify what must change before the team starts building.

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• Checking a feature specification before development
• Reviewing screen states and accessibility requirements
• Assessing scope against business priorities

Explore a web application as a user to find bugs and usability problems. Produce a structured report with reproducible steps, screenshots, and videos for interaction issues, giving responsible teams clear evidence to investigate.

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• Checking core workflows before release
• Finding usability problems in forms and navigation
• Preparing bug reports with reproduction evidence

Design and maintain applications where OpenRig agents help run the system. Organize instructions, shared state, and artifact checks, then trace unexpected behavior to the code, skill, or schema that needs repair.

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• Designing an application operated by OpenRig agents
• Organizing instructions and shared application state
• Tracing unexpected behavior to its source

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

Opens groups of OpenRig agent terminals as live herdr tiles for interaction or observation. Explains view selection, read-only access, saved groups, and how to interpret agents that are offline or cannot be displayed.

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• Opening all live agents in a rig as terminal tiles
• Watching mission or slice agents in read-only views
• Reopening a custom group from a saved view

Coordinate with OpenRig agents on registered remote machines using SSH or HTTP connections. Select the intended host, inspect agent state, send messages, and interpret failures while checking whether remote actions actually took effect.

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• Checking agents on a registered remote host
• Sending messages to agents on another machine
• Diagnosing connection and authentication failures

Hand off OpenRig work through persistent queue items that record the next owner, blockers, and closure reasons. The skill covers notifying recipients, escalating to a human, and keeping supporting evidence accessible across interruptions and missed messages.

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• Passing completed work to the next agent
• Recording work blocked by another task
• Escalating a decision to a human

Turn rough meeting notes, customer requests, and product ideas into structured backlog entries, a list of possible improvements. Capture who needs each idea and why, categorize it, and update matching entries with new evidence.

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• Capturing feature ideas after a meeting
• Recording requests from customers or sales
• Logging product gaps found in competitor research

Classify agent work as ready to continue, needing human judgment, or intentionally paused. Structure decision requests with evidence, a recommended choice, and clear outcomes, then connect the recorded decision to the next responsible agent.

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• Deciding whether agent work needs human review
• Preparing decision requests with evidence and recommended choices
• Designing a dashboard for pending human decisions

Guides the design and review of agent startup context, including role files and links to authoritative records. It helps identify stale guidance, missing updates, overloaded startup files, and instructions that lose the purpose of the work.

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• Designing startup files for a new agent
• Reviewing stale guidance used by running agents
• Separating role information from reusable procedures