context-gatekeeper

What This Skill Does

The context-gatekeeper is an essential optimization tool for OpenClaw users managing long-running conversation threads. It prevents context bloat by generating a concise, high-density briefing of your interaction history. Instead of overwhelming the model with hundreds of previous messages, the gatekeeper creates a structured context/current-summary.md file that captures the core essence of decisions made, surfacing pending tasks, and retaining only the most relevant recent turns. This leads to significantly lower latency, reduced token usage costs, and improved focus for the AI model by ensuring it always operates on a clear, synthesized state of the conversation.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/davienzomq/context-gatekeeper Ensure you have Python 3.8+ installed, as the script processes history logs directly via the filesystem, requiring read and write permissions to your local project directory.

Use Cases

• Complex Project Management: Keep track of multi-step coding or research projects without losing the thread of earlier decisions.
• Long-term Strategic Planning: Maintain a persistent state of goals and milestones when working on multi-day tasks.
• Cost Optimization: Reduce the input token count for heavy reasoning tasks by injecting a pre-summarized context instead of raw chat history.
• State Retention: Automatically extract and list pending tasks (TODOs) from unstructured natural language discussions to ensure nothing falls through the cracks.

Example Prompts

1. "Run the context-gatekeeper to summarize our project progress and highlight any pending deliverables so far."
2. "I'm hitting the token limit; please invoke the gatekeeper, generate the current-summary.md, and then draft the next steps based on that summary."
3. "Refresh my memory on what we decided regarding the database architecture; check the context-gatekeeper output for any stored decisions."

Tips & Limitations

• Performance: While the skill is highly efficient, try to trigger it during natural transition points in your workflow rather than after every single sentence to maximize stability.
• File Structure: Keep your context/history.txt clean. If the file grows too massive, consider archiving old sessions to prevent the script from stalling.
• Limitations: The gatekeeper relies on your ability to maintain a consistent log format. Ensure your automated flows or agents consistently append lines in the ROLE: message format to guarantee the script functions as expected.