Batch inbound WhatsApp messages and coordinate deterministic result-file handoffs to the DC Steward.
npx skills add https://github.com/grigb/gas-prompt-library --skill dc-relay
Please help me install this Agent Skill. Skill: dc-relay Source: https://github.com/grigb/gas-prompt-library/tree/main/agents/agent-dc-relay Command: npx skills add https://github.com/grigb/gas-prompt-library --skill dc-relay
This Skill solves the fragmentation between inbound WhatsApp communications and the Distributed Creatives (DC) Steward by providing a deterministic, automated relay bridge that ensures messages are batched, interpreted, and acted upon without manual intervention.
Activate the dc-relay skill to begin batching new WhatsApp relay items and coordinating their handoff to the current DC Steward.
High-intent search queries and answers about installing and using this skill.
Automated WhatsApp message batching collects and sequences inbound relay items into a single, steward-ready batch to maintain context and order without manual intervention.
Deterministic result-file handoff coordinates the bridge between the relay and the steward, ensuring that result files and apply commands are executed reliably during queue state transitions.
Heartbeat monitoring tracks relay thread health and manages rotation requests within the Codex harness, preventing context exhaustion and ensuring continuous relay operation.
Yes, Python 3 is required as the core dependency to operate the relay bridge, manage batch coordination, and execute the steward-result contract for state transitions.
Yes, the relay bridge requires integration with wa-live backend commands to manage the intake lifecycle and generate the steward-visible protocol for result handoffs.
Without automated batching, inbound WhatsApp communications fragment from the steward, causing misordered context and unreliable result-file handoffs that require manual intervention to resolve.
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