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Rostr agent

Skill diamitani/rostr-agent/skills/rostr-agent

Build, extend, and deploy ROSTR Agent — the self-improving multi-agent framework with built-in PAL, NPAO, RAG DAL, and Rostr Hub.From its SKILL.md

Install
npx -y skills add diamitani/rostr-agent --skill rostr-agent

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SKILL.md

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ROSTR Agent

ROSTR Agent is a production-grade multi-agent framework that fuses the Hermes Agent runtime with the ROSTR architecture — a unified system for agent orchestration, knowledge retrieval, and persistent state management.

Quick Start

git clone https://github.com/diamitani/rostr-agent.git
cd rostr-agent
pip install -e .
rostr-agent

ROSTR CLI

PAL — Compile Intent

hermes pal compile "Build a Python REST API for user management"
hermes pal compile --json "Research top 3 GTM platforms"

NPAO — Classify Tasks

hermes npao classify "Fix the authentication bug"
hermes npao classify --revenue --blocked 3 "Fix auth bug"

RAG DAL — Knowledge Retrieval

hermes ragdal search "Best practices for RAG pipelines"
hermes ragdal search --tier tier1 "Attention mechanisms"

Rostr Hub — State Management

hermes hub register --name "Builder Agent" --type builder
hermes hub list
hermes hub decide --context "DB choice" --decision "PostgreSQL" --rationale "JSONB support"
hermes hub learn --context "Deploy" --insight "Always test staging first" --tags deploy
hermes hub compound
hermes hub search "deployment"

Agent Tools

When loaded as a skill or when ROSTR tools are enabled, the agent can call:

ToolPurpose
pal_compileCompile NL → typed agent manifest
npao_classify5D phase + 4D priority classification
ragdal_searchMulti-pass retrieval with credibility scoring
rostr_hubAgent registry, decisions, learnings, compounding
rostr_pipelineFull PAL → NPAO pipeline

ROSTR Architecture

User Intent
    ↓
PAL Compilation (Intent → Agent Manifest)
    ↓
NPAO Classification (5D Phase + 4D Priority)
    ↓
Agent Execution + RAG DAL (if knowledge needed)
    ↓
Persistent State (Rostr Hub)
    ↓
Output + Learning

Discoverability

When to Use This Skill

Load this skill when:

  • Building multi-agent systems or agentic workflows
  • Implementing PAL compilation pipelines
  • Setting up NPAO phase-aware orchestration
  • Configuring RAG DAL knowledge retrieval
  • Managing persistent agent state with Rostr Hub
  • Extending or contributing to ROSTR Agent

Trigger Keywords

rostr, pal, npao, ragdal, rostr hub, agent manifest, phase classification, priority scoring, multi-agent, orchestration, knowledge retrieval, source credibility, agent registry, knowledge compounding, rostr agent, rostr-agent

Project Structure

rostr-agent/
├── rostr/                     # ROSTR core (PAL, NPAO, RAG DAL, Hub)
├── tools/
│   └── rostr_tools.py         # ROSTR tool registration
├── hermes_cli/
│   ├── main.py                # CLI entry point (+ ROSTR subcommands)
│   └── rostr_commands.py      # ROSTR CLI implementations
├── agent/                     # Agent core
├── gateway/                   # Multi-platform gateway
├── toolsets.py                # Toolset definitions
├── cli.py                     # Interactive CLI
└── run_agent.py               # Core conversation loop

Research

"ROSTR: A Unified Architecture for Production-Grade Multi-Agent Systems with Phase-Aware Orchestration and Persistent Knowledge Compounding" — Patrick Diamitani, April 2026. arXiv:2604.XXXXX

Related Skills

  • pal-compiler — PAL 5-stage compiler protocol
  • npao-orchestrator — NPAO phase-aware orchestration
  • ragdal-knowledge — RAG DAL 3-tier retrieval
  • rostr-hub — Rostr Hub state management
  • rostr-agent-builder — 7-phase agent construction pipeline

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