agentscope-core/src/test/resources/e2e-skills/log-parser/SKILL.md
Use this skill when the task involves inspecting, searching, or extracting information from application log files. Suitable for tasks like "my application is crashing and I need to find the errors", "scan these logs for warnings", "extract all exceptions from this log file", or "find slow requests in my server logs". Triggered by debugging, incident investigation, or log analysis needs.
npx skillsauth add agentscope-ai/agentscope-java log-parserInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Parses application log files to extract errors, warnings, and patterns.
scripts/extract_errors.py — Scan a log file and extract all ERROR/WARN lines with timestamps into a structured summarypython3 scripts/extract_errors.py --input app.log --output errors.json
python3 scripts/extract_errors.py --input app.log --level ERROR
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.