alibaba

工作区快照管理。用户说"保存一下"、"存个快照"时创建 checkpoint; 说"回滚"、"撤销"、"恢复到之前"时 rollback;说"删掉快照"时 delete; 说"看看快照"、"有哪些快照"时 list;说"查看快照状态"、"查看快照剩余空间"时 status。

Skill 安全状态查看、快速扫描认证与可选深度扫描。支持用户主动查看或扫描单个/全部 Skill；当用户要求 agent 安装 Skill 且安装成功后，必须自动对最终本地目录执行快速扫描认证。

通过命令行或 Dashboard（前端） 查询 AgentSight 平台的 token 消耗数据、token 节省（优化）数据、审计事件和会话中断事件。当用户询问 token 用量、花费、消耗趋势、token 节省、优化效果、LLM 调用、进程行为审计，或询问会话中断、Agent 异常、LLM 错误等中断事件时使用此技能。

One-click installation and configuration of Hermes Agent by Nous Research. Handles installing Hermes from scratch, adding LLM providers (OpenRouter, Anthropic, OpenAI, z.ai/GLM, Kimi, DeepSeek, Alibaba Qwen, Ollama, etc.), setting up messaging platforms (Telegram, Discord, Slack, DingTalk, Feishu/Lark, Weixin, WeCom), installing Hermes Workspace web UI, and migrating from OpenClaw. Use when the user asks about installing Hermes, setting up a provider, configuring a messaging platform, adding a bot, or any Hermes setup task.

Search, install, uninstall, update and manage agent skills. Use when the user asks to find/search/install/uninstall/update/list/explore skills, asks "how do I do X" or "find a skill for X", or wants to extend agent capabilities in a specific domain.

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards.

Install and configure Claude Code on RPM-based Linux systems (e.g., Alibaba Cloud Linux) with multiple fallback methods (native installer, npm, nvm+npm). Includes DashScope/Qwen API configuration template. Use when the user asks to install Claude Code CLI, set up Claude Code CLI, or configure Claude Code with a custom API endpoint on RPM-based Linux systems.

在 RPM 包管理的 Linux 服务器（如 Alibaba Cloud Linux）上安装和配置 OpenClaw，接入钉钉频道与阿里云百炼（通义千问）模型。当用户需要部署 OpenClaw、配置钉钉机器人、接入 DashScope/Qwen 模型、排查 OpenClaw 网关无法启动、或遇到插件不加载等问题时使用此技能。包含完整踩坑记录与正确配置结构。

在进行 Code Review 时，使用这个技能对 LoongCollector 变更进行安全导向、架构一致性优先的深度代码评审。

Write commit messages following to Conventional Commits standards.

Building LoongCollector C++ and Go components. Use when compiling any part of the project.

Design document writing conventions. Use when writing or reviewing technical design documents.

LoongCollector E2E 测试全流程指南：设计、编写、运行和调试。当需要编写新 E2E 测试、运行现有测试、或排查 E2E 测试失败时使用此 skill。

Mermaid diagram conventions. Use whenever diagrams are needed in documentation or code review.

LoongCollector project knowledge: architecture, terminology, codebase map, and coding standards (C++/Go).

Code review behavioral standards. Reference during code review to ensure consistent quality checks from a QA perspective.

Set up, run, and interpret Agent Skill evaluations (evals) with the skill-up CLI / 使用 skill-up CLI 给 Agent Skill 搭建和运行评测. Use when the user asks to evaluate, test, regress, or verify a Skill; add evals or cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Handles Skill discovery, evals scaffolding, judge authoring, credentials, user config, validation, runs, and reports.

帮助用户进行代码审查，识别常见代码问题并给出修改建议。

帮助用户管理待办事项，支持添加、删除、标记完成、列出任务等操作。

MCP mocked marker smoke skill used by skill-up e2e tests.

Analyzes code files and reports statistics including line counts, file counts by extension, and total size. Use this skill whenever the user wants to understand the composition of a codebase - asking about "how many lines of code", "what file types exist", "code distribution", or needing a quick audit of project size and structure. Make sure to invoke this skill when users mention analyzing codebases, counting lines, checking file distributions, or auditing code.

Reviews code and provides detailed quality assessment

Quickly produces accurate calculation results when a user needs arithmetic, unit conversion, or mathematical formula solving. Triggered when users say things like "help me calculate", "compute", "how much is", etc.

Triggered when the user needs to organize project files, analyze directory structure, or generate a project report. Use MCP tools to read file contents and produce a structured organization report. Trigger phrases include "help me organize this project", "look at the directory structure", "generate a project summary".

GreptimeDB provider for obz. Covers PromQL metric query, labels, label-values, and series commands via GreptimeDB's Prometheus-compatible API. Use this skill when the user mentions "GreptimeDB", "Greptime", "obz metric -p greptimedb", or needs to query metrics stored in a GreptimeDB instance.

Multi-backend observability CLI for querying metrics, logs, and traces across 12 backends. This skill should be used when the user runs obz commands, constructs metric/log/trace queries, configures providers, parses obz JSON output, or troubleshoots obz errors. Covers all core commands (metric query/list/info/labels/label-values/series, log search, trace search/get), global flags, time formats, output modes, config files, and exit codes.

Datadog provider for obz. Supports metrics (Datadog Query Language), logs (Datadog Log Query), and traces. Requires api-key and app-key configured under auth in config.yaml. Does not support metric labels, label-values, or series commands. This skill should be used when the user mentions "Datadog", "DD", "obz -p dd", Datadog Query Language, or needs to configure Datadog provider instances with regional endpoints.

Elasticsearch provider for obz. Supports log search and trace operations using Elasticsearch Query DSL (Lucene-based). Requires --index flag. This skill should be used when the user mentions "Elasticsearch", "obz -p es", or needs to search logs or traces from an Elasticsearch cluster.

Jaeger provider for obz. Covers trace search, trace retrieval by ID, and extension commands for service and operation discovery. This skill should be used when the user mentions "Jaeger", "obz trace -p jg", or needs to search distributed traces from a Jaeger backend.

Grafana Loki provider for obz. Covers log search using LogQL, a label-based query language for log aggregation. This skill should be used when the user mentions "Loki", "Grafana Loki", "LogQL", "obz log search -p loki", or needs to search logs from a Loki instance.

Grafana Mimir provider for obz. Covers all 6 metric commands using standard PromQL. Mimir is a horizontally-scalable Prometheus-compatible TSDB. This skill should be used when the user mentions "Mimir", "Grafana Mimir", "obz metric -p mimir", or needs to query metrics from a Mimir cluster.

OpenSearch provider for obz. Supports log search and trace operations using Lucene-based query syntax. Requires --index flag. This skill should be used when the user mentions "OpenSearch", "obz -p os", or needs to search logs or traces from an OpenSearch cluster.

Analyze indexed codebases via graph database (neug) and vector index (zvec). Covers call graphs, dependencies, dead code, hotspots, module coupling, architecture reports, semantic search, impact analysis, bug root cause from GitHub issues, class diagrams (UML), and PR review (risk scoring, conflict detection, auto-merge candidates, labeling). Also covers creating, inspecting, and repairing a CodeScope index. Use for: code structure, who calls what, why something changed, similar functions, module boundaries, bug tracing, class relationships, PR risk/conflicts, or any question benefiting from a code knowledge graph. Applies when a `.codegraph` index exists in the workspace, or when the user wants to create one.

Submit a new issue to the project.

Submit a new Pull Request to the project.

Analyze new commits and generate related test cases.

Execute the implementation planning workflow using the plan template to generate design artifacts.

Create or update the feature specification from a natural language feature description.

Generate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.

Cerate or Update a GitHub Issue for each Module in the task document.

Prerequisites and connection details for attaching to a live Python process with PyFlightProfiler. Read this skill first before using any other PyFlightProfiler command (watch, trace, stack, perf, etc.).

Inspect Python module global field or class static field value in a running Python process. Use this for safe, read-only inspection of global variables, configuration objects, or class-level state.

Translate a file path to its Python module name in a running Python process. Use this when you know a file path but need the module name for commands like watch, trace, or reload.

Hot-reload a Python function implementation from the latest file content without restarting the process. Use this to apply code fixes live after identifying a bug with watch/trace.

Inspect stack frames of a running Python process including thread stacks, native C-level frames, and async coroutine stacks. Use this to see what each thread is currently doing and diagnose hangs, deadlocks, or stuck async tasks.

Trace execution time of Python method invocations in a live process with call stack visualization. Use this to see a hierarchical call tree showing which sub-calls are slow and where time is spent within a function.

Inspect live Python class instances in a running process — find all instances of a class, examine their attributes/state, or invoke methods on them. Also supports forcing GC. Use this when you need to probe object-level runtime state beyond what watch/getglobal can provide.

Display input/output args, return object and cost time of a Python method invocation in a live process. Use this to observe function behavior at runtime — see what arguments go in, what comes back, and how long it takes. This is the most frequently used diagnostic command.

Sample skill fixture for classpath registry enhancement tests.

商品文案写作助手。根据商品信息生成吸引人的营销文案。当用户提到"写文案"、"商品描述"、"营销文案"时使用此技能。

选品分析助手。根据市场趋势和用户需求，分析并推荐适合的商品品类。当用户提到"选品"、"商品推荐"、"品类分析"时使用此技能。

Database schema and business logic for inventory tracking including products, warehouses, and stock levels.

Database schema and business logic for sales data analysis including customers, orders, and revenue.

Test skill for groupedTools. When executing this skill, use the record_result tool to record the result value.

Extract text, tables, and form data from PDF documents for analysis and processing. Use when user asks to extract, parse, or analyze PDF files.

Deploys React/Vite applications to Alibaba Cloud ESA Pages. Use when the user needs to deploy frontend applications, manage deployments, configure custom domains, or troubleshoot deployment issues on ESA (Edge Security Acceleration) platform.

[project] OPC-Starter 测试驱动开发规范。管理和执行 Playwright E2E 测试、演示模式测试、单元测试的完整工作流。适用于新增功能时补充测试用例、运行认证/注册/演示测试、维护测试规划文档。当用户提到测试、E2E、Playwright、演示、用例、质量、补充测试时使用。

OPC-Starter 智能开发技能。AI 亲和的 React Boilerplate 项目开发规范，支持动态上下文感知、TDD 驱动开发、Agent Studio 扩展。适用于认证系统、组织架构、Agent 工具、数据同步等模块的迭代开发。

代码仓库 AI 亲和度审计工具，支持前端、后端、全栈等各类项目。此技能用于检查给定的代码仓库对 AI Coding 工具的友好程度，生成详细的分析报告和改进建议。当用户需要评估代码仓库是否适合 AI 辅助开发、希望提升仓库的 AI 可操作性、或准备引入 AI Coding 工具前进行仓库评估时，应使用此技能。支持 TypeScript/JavaScript、Go、Java/Kotlin、Python、Rust 等主流技术栈。融合 OpenAI Harness Engineering 方法论，评估 Outer Loop（反馈闭环、评估门禁、机械化不变量）建设。

OPC-Starter 智能开发技能。AI 亲和的 React Boilerplate 项目开发规范，支持动态上下文感知、TDD 驱动开发、Agent Studio 扩展。适用于认证系统、组织架构、Agent 工具、数据同步等模块的迭代开发。

IHS（IDE Harness Score）仓库健康评估技能。用于衡量 AI Coding IDE 驾驭能力下的代码仓技术债变化趋势，输出 IHS.md 评测报告（代码腐化、测试信号、文档对齐、变好/变坏结论）。

Create distinctive, production-grade frontend interfaces with high design quality using Mobile First strategy. Analyzes design systems from screenshots, generates Tailwind CSS + Shadcn UI configurations, and retrofits existing projects. Optimized for Claude Opus 4.5 with structured decision trees and self-verification checkpoints.

排查 JVM / 应用 CPU 飙高（线程定位 + 代码路径分析）

使用 Arthas 的 watch/trace 获取 EagleEye traceId / 获取请求的 traceId

arthas 诊断 java应用，jvm问题 skill

排查 Spring ApplicationContext / Bean / 配置注入等问题

Create a branch, commit existing local changes, push them, and open a pull request. Use when submitting current work as a PR.

Conduct a thorough pre-implementation discussion before making significant changes. Use when the user wants to discuss, plan, or evaluate a change before implementing it — especially when they say words like 'discuss', 'evaluate', 'plan', or 'let's talk about'.

Clean up local git branches and remotes accumulated from PR reviews. Use when the user asks to clean branches, remove stale remotes, or tidy up the local git state.

Update docs/CHANGELOG.md from git history, GitHub releases, and code diffs. Use when: writing release notes, syncing the latest changelog entry, summarizing a new tag, or keeping changelog wording concise and consistent.

任务完成后的反思与经验沉淀。审视本次执行过程，将教训更新到对应 skill 中，驱动所有 skill 持续进化。

为 MNN 框架添加新的 LLM 模型支持。支持从 HuggingFace/ModelScope 下载模型，分析架构，添加映射，Hook 对齐测试，导出 MNN 模型。采用 TDD 模式，分 6 步执行，每步有独立测试标准。

为 MNN 框架新增算子。包含 Schema 定义、形状计算、几何计算、后端实现、单元测试的完整 TDD 流程。分 5 步执行，每步有独立测试标准。

MNN ARM CPU 算子性能优化。涵盖计算拆解、函数复用、多线程、数据排布、ARM 汇编编写。采用"先正确，再加速"原则，基于性能基准测试驱动优化。

Run compile checks and test suites for both backend and frontend to verify changes.

Build the deployable Spring Boot jar, skipping tests for speed.

用于查询某地的今天天气