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Plan how agents retain active work across conversation compaction, context loss, and restarts. Organize restoration packets that preserve purpose, progress, ownership, and constraints, distinguish resume from fork or rebuild, and check whether work actually resumes correctly.

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• Prepare restoration materials before conversation compaction
• Preserve task purpose and ownership across a restart
• Distinguish native resume, fork, and artifact-based rebuild

Check the health of the HashiCorp Vault instance in an OpenRig environment and manage stored secrets. Use its API to write, read, list, or delete entries and explain how secret paths are organized.

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• Checking whether the local Vault instance is healthy
• Storing or retrieving secret values
• Listing secret paths and explaining their contents

Plan an agent's handover to a fresh successor before its context fills up. Prepare transfer materials, preserve the role's address, record tenure history, and explicitly transfer recurring duties and authority while keeping a way to consult retained predecessors.

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• Planning a handover before an agent's context fills up
• Transferring recurring duties and authority
• Recording an agent role's tenure history

Plan agent replacements while keeping the same workspace identity. The skill separates creating a successor from assigning it to the existing role, records both outcomes, and prepares durable handover notes and traceable replacement history.

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• Replace an agent while preserving its workspace identity
• Prepare recap notes for a successor
• Track successor creation and assignment separately

Helps older OpenRig instructions that reference software-for-agents lead to its maintained successor, agent-operated-software. This temporary compatibility redirect identifies where to find the current architecture and operating guidance.

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• Following older OpenRig instructions
• Finding guidance under the successor skill name
• Checking the compatibility redirect's retirement schedule

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

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

Turn a development-ready feature's specifications, customer context, demand evidence, and mockups into a concise executive summary. Give sales, leadership, and engineering one shared document covering the problem, solution, key decisions, scope, dependencies, metrics, and audience-specific questions.

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• Create a shared feature briefing for sales, leadership, and engineering
• Summarize customer needs and reasons to prioritize a feature
• Clarify key decisions, exclusions, and dependencies

Configure a new OpenRig agent seat, a managed place for an agent to run, using a prior Claude or Codex conversation. Covers fork settings, new session identities, and checks that distinguish forking from restoring.

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• Create a new agent seat from an earlier conversation
• Add conversation source settings to a rig expand payload
• Distinguish conversation forks from seat restoration

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

Verify development results before reporting success or preparing commits and pull requests. Run checks that support each claim, inspect their actual output, and report remaining gaps instead of relying on assumptions or another agent’s success message.

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• Checking evidence before reporting a bug as fixed
• Confirming test and build results before a commit
• Verifying that a regression test detects the bug

Find and load the appropriate skill for an agent working inside OpenRig. This index maps situations such as recovery, handover, debugging, and planning to relevant guidance, with commands that retrieve content matching the installed CLI.

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• Find relevant guidance when an agent first starts
• Locate skills for recovery or seat handover
• Find procedures for debugging or implementation planning

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

Evaluate a feature idea before turning it into requirements using six sequential questions. Examine customer demand, current workarounds, a specific user's pain, and the smallest useful solution, then save an evidence-based assessment with a verdict and next steps.

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• Validating customer demand before writing requirements
• Narrowing a feature to its smallest useful version
• Separating customer evidence from assumptions

Guides agents through sending human decision requests and updates using registered recipients. It covers concise briefs, delivery checks, duplicate prevention, and linking replies to the correct work so that delivery receipts are kept distinct from human decisions.

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• Sending a decision request with clear options
• Reporting an outcome that needs no action
• Investigating a failed or uncertain delivery

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

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

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

Package an OpenRig agent arrangement and workflow for reuse by others. Guides bundle creation, inspection before installation, and checks in a clean environment to identify hidden dependencies on local paths, providers, or credentials.

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• Package a proven agent setup for reuse
• Inspect bundle contents before installation
• Check whether a bundle works in a clean environment

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

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

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

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

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