Hive One-Person Company Builder
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About this skill
Problem
Hive addresses a single-operator workflow where one person has to handle scheduling, execution, review, and archival at once. It is not a one-shot prompt tool; it scaffolds a multi-agent structure on a fresh OpenClaw instance. The CEO receives requests, breaks down tasks, and replies uniformly, while business subagents produce concrete artifacts and core state is written to files for inspection.
How It Works
The skill initializes in a fixed order:
- creates {WORKSPACE}/hive/ and a shared artifact path {WORKSPACE}/hive/artifacts/
- initializes #1 HRM, #2 OPS, and business specialists #3 through #8
- writes ROLE.md files for Collector, Analyst, Writer, QA, PM, and Doc, defining models, duties, and workflow placement
- updates proactivity/session-state.md, generates SETUP.md, and runs a test task to verify coordination
CEO is the main session and does not execute tasks directly; it dispatches subagents via sessions_spawn. HRM remains active for adding specialists and designing workflows, while OPS only performs version checks and compatibility evaluation when initiated by the CEO. Subagents do not answer the user directly; the CEO aggregates the final response.
Boundaries
Use this skill to build Hive from scratch. It is not the trigger for “Hive supports X” expansion requests, which route to HRM. It does not make OPS a system administrator: it will not change configs or run system-level actions without approval. The setup assumes an existing OpenClaw workspace, a user documents directory, and placeholders such as {DEFAULT_MODEL}, {FAST_MODEL}, and {STRONG_MODEL}.
Use Cases
- Initialize CEO, HRM, OPS, and six business specialists on a fresh OpenClaw with directories, ROLE.md, and SETUP.md.
- Set up a shared artifact path, task-state JSON files, and proactivity session-state memory for a new agent workflow.
- Split collecting, analysis, writing, QA, PM, and documentation into schedulable subagents, then run a test task.
- Scaffold auditable Hive directories, approval boundaries, and a standard startup document before adding new capabilities.
Best For
- Automation engineers testing an Orchestrator pattern in OpenClaw where the main session only dispatches subagents.
- Independent creators who need research, analysis, drafting, and archiving split into persisted multi-role workflows.
- AI application designers who want task state, approval boundaries, and OPS audit directories for agent collaboration.
- Agent infrastructure maintainers who need to separate initial setup from HRM expansion and generate standard SETUP.md.
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