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Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞
Passed 13 of 21 test cases with the skill, and 2 of 21 without it.
12 fixed2 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
The instructions your model reads when the skill loads.
By Hal Labs — Part of the Hal Stack
A proactive, self-improving architecture for your AI agent.
Most agents just wait. This one anticipates your needs — and gets better at it over time.
systemEvent vs isolated agentTurnProactive — creates value without being asked
✅ Anticipates your needs — Asks "what would help my human?" instead of waiting
✅ Reverse prompting — Surfaces ideas you didn't know to ask for
✅ Proactive check-ins — Monitors what matters and reaches out when needed
Persistent — survives context loss
✅ WAL Protocol — Writes critical details BEFORE responding
test cases passed, vs 2 / 21 without
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