agentscope-examples/agents/agentscope-claw/src/main/resources/templates/customer-support/skills/triage-ticket/SKILL.md
First-response playbook for an inbound customer message — classifies the ticket, restates the issue, gathers missing context, and routes the reply.
npx skillsauth add agentscope-ai/agentscope-java triage-ticketInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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A playbook for the first response to a new customer message.
A customer message has arrived and you have not yet replied to it.
bug — something is broken or behaving unexpectedly,question — the customer wants information,feature — a request for new behavior,escalation — out-of-policy, refund > $100, abusive, legal, or
compliance-flavored.bug or question: search workspace docs (grep_files,
memory_search) and prior sessions (session_search) for an existing
answer; reply with the solution and a citation.feature: thank them, log the request in your reply (the runtime
captures it), and set expectations.escalation: hand off to escalation-router and tell the customer
a human will follow up within one business day.AGENTS.md.A single customer-facing message. Do not include the classification label in the message body — keep it as the first line of your internal scratch.
documentation
四层技能合成、技能市场、自学习闭环
documentation
Four-layer skill composition, skill marketplaces, the self-learning loop
tools
# 技能(Skill) 一个 skill 就是一份写好的能力包:一个目录里放一份 `SKILL.md`(说明用途、给 agent 看的指令),可以再带一些参考文档、脚本或样例。写好后丢给 agent,它会在合适的时候自己用。 harness 让你从两个地方装 skill: - **接 skill 市场**:Git 仓库、Nacos、MySQL、classpath、或者自己写的后端 - **放在工作区**:项目里 `workspace/skills/` 下的就所有人共用;放在 `<userId>/skills/` 下的只有那个用户看得到 两类来源同时生效,不需要二选一。 > 关于 skill 自身的结构、`SKILL.md` 写法、资源加载、tool 绑定、代码执行这些通用概念,见 [Agent Skill](../task/agent-skill.md)。本文只讲 harness 这一层的用法。 --- ## 一个例子 把团队的 skill 仓库接进来,agent 立刻就能用: ```java HarnessAgent agent = HarnessAgent.bui
data-ai
Answer a quantitative business question by writing a SQL query against the data warehouse, validating it, and presenting the result. Use when the user asks "how many...", "what's the trend of...", "compare X vs Y over...", "what's our top N...", or anything that resolves to a query against tabular data. Produces a small result table plus the underlying query.