Reppo Orchestrator

Route daily datanet agent RUN/SKIP decisions and emit a reppo-plan block.

6|2|Updated May 21, 2026
One-click install
npx skills add https://github.com/anajuliabit/aeon --skill reppo-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Reppo Orchestrator
Source: https://github.com/anajuliabit/aeon/tree/main/skills/reppo-orchestrator
Command: npx skills add https://github.com/anajuliabit/aeon --skill reppo-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reppo Orchestrator prevents wasting time and on-chain effort by deciding which datanet agents should run versus skip, using the latest cached validity and rubric assignments.

Core Features & Use Cases

  • Daily RUN/SKIP routing: Evaluates each datanet rubric against cached validity to safely decide RUN or SKIP.
  • Unassigned datanet discovery: Detects datanets present in the live catalog that do not yet have a rubric/agent assignment.
  • Strict output handoff contract: Produces a required fenced reppo-plan block that the next chain step parses to avoid accidental zero-activity gating.
  • Run logging for auditability: Appends a daily entry summarizing RUN vs SKIP counts, discoveries, and catalog availability.

Quick Start

Ask an AI operator to run the reppo-orchestrator skill so it generates the required reppo-plan from your datanet rubrics and cached datanet validity state.

Frequently Asked Questions about Reppo Orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate daily RUN or SKIP decisions for agent swarm workflow scheduling?▼

Automated workflow scheduling for agent swarms evaluates cached datanet validity against rubric assignments to decide daily RUN or SKIP actions, preventing wasted on-chain effort and ensuring idempotent execution.

What is datanet routing for agent swarms and when do I need it?▼

Datenet routing directs which agents in a swarm execute tasks based on cached validity. You need it when scheduling daily rubric-defined agent strategies to avoid duplicate runs and safely handle catalog unavailability.

How do I generate a structured execution plan for idempotent agent runs?▼

To generate an execution plan for idempotent agent runs, read local memory and datanet caches, then emit a correctly shaped fenced reppo-plan block that downstream parsing steps use to gate activities safely.

How do I discover unassigned datanets in a live agent catalog?▼

Discover unassigned datanets by checking the live catalog for datanets present without a rubric or agent assignment, logging discoveries daily to maintain full visibility over your agent swarm coverage.

What happens to datanet routing when the agent catalog is unavailable?▼

When the agent catalog is unavailable, datanet routing must handle catalog unavailability safely by reading local memory and datanet caches to still emit a correctly shaped reppo-plan block for downstream parsing.