AE

ai-evos/agent-skills

Developer tools

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28 stars 품질 61 트렌드 11Apache-2.0

Decades of operational expertise from logistics, manufacturing, retail and energy. Codified into agent skills - Works with Claude, OpenAI Codex, OpenClaw, Cursor, Gemini, and 26+ platforms.

개요

Evos translates and codifies decades of learned expertise, from professionals working in traditional industries. This library is the knowledge layer that makes evos agentic systems perform like experienced operators — not by prompt engineering, but by codifying the judgment calls, edge cases, escalation logic, and domain-specific knowledge that separates a 20-year veteran from a new hire. Each capability contains expertise from real professionals with 10-20+ years of operational experience. We're open-sourcing it so any AI agent on any platform can access it. Does the capability context actually make a difference? We ran every scenario twice on the same model (Claude Sonnet 4) — once with the full capability loaded, once with no domain context at all. The baseline receives zero system prompt — just the raw scenario as a user message, exactly like pasting it into the Claude application. Same scenarios, same rubric, same grader. The only variable is whether the agent has the SKILL.

README

원문 README의 일부입니다. 원문 보기.

Evos Capabilities

Open-source operational capabilities for AI agents — codified from domain experts with decades of real-world experience. Works with Claude Code, OpenClaw, Codex CLI, Cursor, and any Agent Skills-compatible platform.

What This Is

Evos translates and codifies decades of learned expertise, from professionals working in traditional industries. This library is the knowledge layer that makes evos agentic systems perform like experienced operators — not by prompt engineering, but by codifying the judgment calls, edge cases, escalation logic, and domain-specific knowledge that separates a 20-year veteran from a new hire. Each capability contains expertise from real professionals with 10-20+ years of operational experience. We’re open-sourcing it so any AI agent on any platform can access it.

Capabilities

Capability Industry Scenarios Eval Score Description
Logistics Exception Management Logistics 30 95.0% Freight exceptions, shipment delays, damages, losses, carrier disputes
Carrier Relationship Management Logistics 22 99.3% Rate negotiation, carrier scorecarding, portfolio strategy, RFP process
Customs & Trade Compliance Logistics 28 90.4% Tariff classification, duty optimisation, restricted party screening
Inventory Demand Planning Retail 24 93.0% Demand forecasting, safety stock, replenishment, promotional planning
Returns & Reverse Logistics Retail 24 88.0% Returns authorisation, disposition, fraud detection, vendor recovery
Production Scheduling Manufacturing 23 92.4% Job sequencing, changeover optimisation, bottleneck resolution
Quality & Non-Conformance Manufacturing 26 91.9% NCR investigation, root cause analysis, CAPA, SPC, supplier quality
Energy Procurement Energy 24 95.4% Tariff optimisation, demand charge management, PPA evaluation

Baseline Comparison

GitHub에서 전체 README 보기

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