context-not-control
Enable "Context, not Control" workflow - clarify requirements through multi-turn dialogue, reduce rework, and execute with appropriate permission levels. Use when users want AI to take more autonomy, need help clarifying vague requirements, or want to establish trust-based collaboration patterns. Supports three permission levels (Master/Collaborative/Assistant) and automatic context management.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/843645440/context-not-controlWhat This Skill Does
The context-not-control skill fundamentally shifts the interaction model between the user and the OpenClaw agent. Moving away from rigid, step-by-step instruction sets, this skill empowers the agent to act as a strategic partner. By leveraging a structured clarification framework, the agent ingests high-level project goals and translates them into actionable workflows. It maintains an persistent state through PROJECT.md and ensures safe execution via a three-tiered permission system, allowing you to define exactly how much autonomy the AI has over your system.
Installation
To integrate this into your environment, use the command: clawhub install openclaw/skills/skills/843645440/context-not-control. Once installed, execute python scripts/init_context.py to generate your initial configuration files. This setup creates your PROJECT.md for goal tracking and PERMISSION_CONFIG.yaml to define your specific security constraints, ensuring the agent operates within your comfort zone immediately.
Use Cases
- Project Prototyping: Ideal for starting ambiguous projects where the exact technical path is unknown but the desired outcome is clear.
- Efficiency Optimization: Perfect for users looking to reduce tedious back-and-forth communication regarding low-level execution details.
- Governance and Safety: Useful for teams needing to enforce strict permission boundaries while still allowing the AI to handle routine development tasks autonomously.
Example Prompts
- "I want to build a Python dashboard that scrapes financial headlines and visualizes sentiment trends; start by asking me clarifying questions to define the scope."
- "Review the current requirements in PROJECT.md and suggest the next three technical steps to move towards our MVP."
- "Set my permission level to Collaborative Mode and begin drafting the architecture for the new API integration, but halt before any database schema changes."
Tips & Limitations
- Start with Clarity: While the AI is designed to handle vague requests, providing more initial context reduces the number of clarification cycles.
- Periodic Review: Regularly update
PROJECT.mdto ensure the agent's long-term memory remains aligned with your evolving project goals. - Permission Caution: If using 'Master Mode', be aware that the AI will perform significant actions without individual confirmation. Always review the logs generated by the agent after major autonomous tasks.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-843645440-context-not-control": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read, code-execution