clawhub-memory-tiers-proProduction-grade agent memory and quality system for multi-agent swarms. Extends agent-memory-tiers with an 8-point quality grading rubric, progressive discl...
Install via ClawdBot CLI:
clawdbot install dirtyrootsstudio/clawhub-memory-tiers-proGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://clawhub.ai/skills/agent-memory-tiersAudited Apr 17, 2026 · audit v1.0
Generated May 11, 2026
A customer support agent's SOUL.md is evaluated using the 8-point rubric to identify weaknesses. After scoring, the agent is updated with clear boundaries and error handling, reducing customer complaints by 30%.
A research agent's SOUL.md is refactored from 600 to 280 lines using progressive disclosure tiers. Only essential triggers and workflows are loaded initially, cutting API costs by 40% while maintaining effectiveness.
An orchestrator agent uses the protocol to manage a 5-agent marketing team (writer, editor, SEO, designer, scheduler). It assigns tasks based on each agent's strengths and monitors completion, increasing output quality by 25%.
A data pipeline agent logs failures (e.g., schema mismatches) and proven recovery steps. Over a month, the agent's error resolution rate improves from 40% to 90% as it learns from its own experience store.
Offer the free agent-memory-tiers skill as a baseline, then charge for the Pro version with advanced quality grading, progressive disclosure, and orchestrator features. Revenue comes from monthly subscriptions for the Pro add-on.
Use the Pro skill to audit and optimize a client's existing multi-agent swarms. Charge a one-time setup fee plus a monthly retainer for ongoing quality reviews and self-improvement loop management.
Package the Pro skill as a premium plugin for a multi-agent orchestration platform. Revenue is generated through plugin purchases or usage-based billing tied to the number of agents managed.
💬 Integration Tip
Ensure agent-memory-tiers is installed and configured first, then progressively apply quality rubrics and tiered loading to one agent at a time to minimize disruption.
Scored May 11, 2026
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