Auto-generate steering policies that drive purpose-built AI agents through structured, quality-assured workflows
npx claudepluginhub yoshidashingo/stegoroAuto-generate steering policies that drive purpose-built AI agents through structured, quality-assured workflows
Automatically generate steering policies that drive purpose-built AI agents through structured, quality-assured workflows.
Building a purpose-built AI agent is hard. Without a structured policy, agents produce inconsistent outputs, skip critical validation steps, and lack quality assurance. Writing these policies by hand is time-consuming and error-prone.
stegoro solves this by automating the entire policy creation process — from understanding the agent's purpose to generating a complete, quality-calibrated policy set.
A meta-agent for Claude Code that generates steering policies for purpose-built AI agents. It produces a complete set of rule files that govern an agent's behavior through structured, multi-phase workflows.
.<agent-name>/
├── <agent-name>-rules/
│ └── core-workflow.md # Master orchestrator
└── <agent-name>-rule-details/
├── common/ # Cross-phase rules
│ ├── welcome-message.md
│ ├── process-overview.md
│ ├── question-format-guide.md
│ ├── content-validation.md
│ ├── session-continuity.md
│ ├── error-handling.md
│ ├── terminology.md
│ └── ...
├── <phase-1>/ # Phase-specific rules
│ ├── <stage-1>.md
│ └── ...
└── <phase-N>/
└── ...
Add the marketplace and install the plugin (one-time setup):
/plugin marketplace add yoshidashingo/steering-policy-generator
/plugin install stegoro@steering-policy-generator
/stegoro:generate a code review agent
More examples:
/stegoro:generate a proposal writing agent
/stegoro:generate a security audit agent
Or resume a previous session:
/stegoro:generate
| Phase | Purpose | Key Activities |
|---|---|---|
| Discovery | Understand what and why | Purpose analysis, domain research, stakeholder identification, scope definition |
| Design | Architect the policy | Workflow architecture, common rules, phase rules, quality mechanisms |
| Generation | Create the policy files | Core workflow, common rules, phase rules, integration validation |
| Refinement | Ensure quality | Completeness review, consistency review, quality calibration |
This repository includes example policies generated by the tool:
| Agent | Description | Directory |
|---|---|---|
| AI-DLC | AI-Driven Development Life Cycle | .aidlc/ |
| Proposal Writer | RFP response and proposal generation | .proposal-writer/ |
| Steering Policy Maker | This tool's own policy (self-referential) | .steering/ |
Visit the documentation site for detailed usage guides.
MIT
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