Self-Improving Routines
SkillSkill
Scheduled agents that learn — with a human at the wheel. Facts auto-correct; behavior changes get proposed.
About
A standard for building scheduled agent tasks that get better over time without drifting or poisoning their own memory. Two-lane learning: verified FACTS auto-correct each run, while RULE and behavior changes are PROPOSED (max one per run) for you to approve — never silently self-applied. Includes a self-updating Live Data section with hard anti-injection write rules, comparative domain watching, an anti-flip-flop guard, and a creation checklist. The antidote to both agents that never learn and agents that rewrite themselves into chaos.
Core Capabilities
- Two-lane learning (facts vs rules)
- Human-approved behavior changes
- Self-updating Live Data
- Anti-injection write rules
- Anti-flip-flop guard
- Comparative domain watching
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Version History
This skill is actively maintained.
July 14, 2026
Initial release
One-time purchase
$9
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Details
- Type
- Skill
- Category
- Productivity
- Price
- $9
- Version
- 1
- License
- One-time purchase
Works With
Works with OpenClaw, Claude Projects, Custom GPTs and other instruction-friendly AI tools.
Works great with
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