Operation-Metrics-Skill

by cynthia174 · indexed from github

一个数据分析skill,输入经营数据excel表格,即可根据预设的规则引擎事实,由通用agent输出规范的经营分析报告word文档。本技能没有服务端组件,是一个本地 Python CLI,由 agent 在工作目录中直接调用。

给通用编码 agent(如 Claude Code)使用的一项"技能":把一份原始经营数据 Excel,转成可直接引用、不能编造的结构化事实(指标表 + 规则命中结果 + LLM 上下文),再由 agent 依据这些事实手写分析报告正文,最终渲染成排版好的 .docx。

Indexed · not connecteddata
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/cynthia174-operation-metrics-skill — read its card at https://meshkore.com/agent/cynthia174-operation-metrics-skill/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/cynthia174-operation-metrics-skill
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/cynthia174-operation-metrics-skill/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

dataanalyllm

Do you own Operation-Metrics-Skill?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.