Tencent

LaTeX Beamer 教学讲义编写技能 — 从文件读取资料、生成插图、撰写 TeX、编译 PDF 的完整指南。

读写文件、管理工作区文件。

PDF 课件生成编排技能 — 规划大纲、委派子 Agent、通过文件系统传递中间产物。

通过 exec 工具执行 Python 代码，用于计算、数据处理和分析。

网络搜索与页面抓取。

生成 PDF 知识卡片，用于可视化展示知识点。

读写用户的个人知识图谱（节点查询、创建、更新、掌握度）。

出题与测验，评估用户对知识节点的掌握情况。

在编码或架构设计前强制执行"需求澄清 → 可行性分析 → 结构设计 → 测试设计 → 编码实现 → 校验 → 文档同步"的七步流程。 适用于功能开发、重构、新模块创建、架构讨论与设计评审等需要先设计后实现的场景。 关键词：development spec、先设计后编码、架构讨论、设计评审、需求确认、结构体设计、单元测试先行、vibe testing。

kDiT 架构知识库：全局架构图、数据流、Node/Pipeline/Generator/Adapter 子系统设计、 PinHub 沙箱机制、PoolKey 间接寻址、DeviceInfo/NodeContext 规范。 关键词：architecture、架构、Node、Pipeline、Generator、Adapter、Engine、Executor、PinHub、Pool。

kDiT 编码规范：Import 风格（方案 B）、Python 3.10+ 类型注解、Key 类型体系、 Node/Tensor API 开发约束、异常处理规则、类命名规范。 关键词：standards、规范、import、类型注解、Key、异常处理、命名。

kDiT 质量保障与交付验收：单元测试规范（*_test.py 命名、tests/kdit/ 镜像结构）、 pre-commit 格式检查（black 120字符、ruff）、pytest vs ruff 维度差异、文档同步规则。 关键词：quality、测试、test、pytest、pre-commit、ruff、black、验收。

Bug 修复工作流：修复 bug 时强制执行"根因分析 → 反思测试缺口 → 修复代码 → 补充单元测试 → 验证"流程。 确保每次 bug 修复都附带回归测试，并反思为什么现有测试没能覆盖到。 关键词：bug fix、修复、regression、回归测试、测试缺口。

kDiT 代码评审技能：除常规 CR 项（安全漏洞、格式规范、逻辑正确性）外，重点基于项目 .skills/ 中的架构设计 和编码规范进行评审，确保代码不违背设计原则和约束。 关键词：code review、CR、评审、review、架构合规。

系统化调试工作流：当现象不明确、根因未知时，强制执行"信息收集 → 假设生成 → 逐层验证 → 定位根因 → 记录结论"的排查流程。 区别于 bugfix（已知问题修代码），debug 侧重于从混沌的现象中找到问题本质。 关键词：debug、调试、排查、诊断、日志分析、二分法、断点、现象不明。

kDiT 性能调优专家：GPU OOM 排查、推理延迟分析、tensor 内存优化、分布式通信瓶颈诊断。 针对视频生成推理框架的特有性能问题，提供系统化的 profiling → 分析 → 优化 → 验证流程。 关键词：performance、性能、OOM、内存、GPU、延迟、profiling、优化、throughput。

A.I.G Scanner — AI security scanning for infrastructure, AI tools / skills, AI Agents, and LLM jailbreak evaluation via Tencent Zhuque Lab AI-Infra-Guard. Uses built-in exec + Python script, no plugin required. Requires AIG_BASE_URL to be configured. Triggers on: scan AI service, AI vulnerability scan, scan AI infra, check CVE, audit AI service, scan MCP, scan skills, audit AI tools, scan agent, red-team LLM, jailbreak test, 扫描AI服务, 检查AI漏洞, 扫描AI工具, 检查MCP安全, 审计Agent, 越狱测试.

The first security skill to install after setting up OpenClaw — powered by Tencent Zhuque Lab. Works like an antivirus for your AI environment: audits installed skills, scans skills before installation, and performs a full OpenClaw security health check to prevent data leaks and privacy risks. Backed by Tencent Zhuque Lab A.I.G (AI-Infra-Guard). Use when the user asks to start a security health check or security scan for the current OpenClaw environment, such as `开始安全体检`, `做一次安全体检`, `开始安全扫描`, `全面安全检查`, or `检查 OpenClaw 安全`; also use when the user asks to audit a specific skill before installation, review installed skills for supply chain risk, or investigate whether a skill is safe. Do not trigger for general OpenClaw usage, project debugging, environment setup, or normal development requests. Optional cloud mode: set AIG_CLOUD_LOOKUP=off for zero outbound HTTPS; when enabled, only skill_name, source label, and OpenClaw version are sent to A.I.G (never skill bodies, chats, or workspace files).

Detect sensitive information disclosure via escalating dialogue probes. Covers system prompt extraction, credential/API key leakage, PII, and internal configuration exposure.

OWASP Top 10 for Agentic Applications 2026 (ASI) classification framework. Use for mapping security findings to standardized risk categories.

Detect tool misuse and unexpected code execution via dialogue testing. Use when the agent exposes file, code-execution, or network tools.

Detect privilege escalation and unauthorized access via dialogue. Use when the agent has roles, admin functions, or multi-user data.

Detect indirect prompt injection (goal hijack). Instructions hidden in "external" content (documents, RAG, web) that the agent processes. Use when the agent has document/RAG/web/file input.

Automated code review and fix for local branches, PRs, commits, and files. Supports single-agent interactive fix and multi-agent adversarial review with auto-fix.

Analyze branch commits and consolidate iterative modifications.

Accept screenshot baseline changes and commit the updated version.json.

Commit local changes without pushing.

Commit and push changes, then create a new PR or append to an existing one.

This skill should be used when developing or modifying styles for TDesign React components. It provides guidance on BEM naming conventions, CSS Variables usage, state classes, and the relationship between component code and common submodule styles.

This skill should be used when creating a new TDesign React component. It provides a complete SOP for scaffolding components in the packages/components or packages/pro-components directories, including file structure, code patterns, and registration steps.

This skill should be used when developing or modifying TDesign Pro Components (AIGC/Chat). It provides the ChatEngine architecture, component patterns, AG-UI protocol integration, and Generative UI development guide.

This skill should be used when writing or maintaining unit tests for TDesign React components. It provides testing patterns, best practices, and SOP for Vitest-based component testing including snapshot tests.

Guide for downloading and installing PuerTS UPM packages into a Unity project — covers version selection, package dependencies, download/extract and git URL installation methods, and Editor Assistant setup.

指引如何为 puerts 项目编写 Unity 和 Unreal 的 changelog

Guide for developing LLM agents based on PuerTsAgent framework — covers resource directory structure, system-prompt, skills, builtin modules, and best practices.

将 RAG 检索结果、文档块或知识图谱概念转换为 OpenMAIC 互动课程。当用户要求将知识库内容、检索到的文档片段、上传的文档、或知识图谱中的概念批量转换为教学课件/互动课堂时使用此技能。支持纯需求生成、基于 PDF 内容的课程生成、和基于概念图遍历的批量课堂生成。

Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.

一键启动 Tencent/tdesign-flutter 的 GitHub issue 修复流程。适用于用户提供 issue 链接或编号并说「按 harness 修 issue」「一键 issue」「开始修 issue」等场景；串联贡献指南、requirements 模板初始化、强制检查与 PR 收尾。

处理 Tencent/tdesign-flutter 仓库中的 GitHub issue 修复流程。适用于用户提供 issue 链接、issue 编号、要求按贡献指南修复 issue、生成 requirements 验收文档、提交 PR 等场景。

Persistent, incremental LLM Wiki — accumulate structured knowledge across multiple ingest/query sessions. Supports init, ingest (local files, URLs, sessions), query, lint, export, and status operations with [[wiki links]] cross-references.

Contribute — 分享 Session 经验到团队知识库

Go语言单元测试专家，帮助生成测试代码、运行测试、生成覆盖率报告，支持ARM64架构自适应

使用 Playwright 与本地 Web 应用交互与测试的工具包。支持验证前端功能、调试 UI 行为、捕获浏览器截图以及查看浏览器日志。

Generates well-structured PAGX files from visual descriptions and edits existing ones. Use when user asks to create, write, design, or modify PAGX content, run pagx CLI commands (render, verify, format, layout, bounds, font info/embed, import/export, export to HTML for browser preview), or look up PAGX element attributes and syntax.

用于在 OpenClaw 环境中安装、配置并验证 @tencentdb-agent-memory/memory-tencentdb 插件。当用户提到"安装记忆插件""配置 memory-tencentdb""开启长期记忆/召回"或出现相关报错时应触发。