spring-controller
Generate a Spring REST controller for a named entity with CRUD endpoints, validation, OpenAPI documentation, and integration tests. Invoke as /spring-controller <Entity>.
spring-service
Generate a Spring Boot service class for a named entity with constructor injection, logging, exception handling, and unit tests. Invoke as /spring-service <Entity>.
security-review
Read-only security audit of code for SQL injection, XSS, auth/authz flaws, input validation gaps, sensitive data exposure, and insecure cryptography. Surfaces findings without modifying code.
Spring Boot Best Practices
Generate Spring Boot components following modern Java best practices and team conventions
API Documentation Generator
Generate comprehensive, professional API documentation following industry best practices
Security Code Review
Identify security vulnerabilities and suggest secure coding practices
osquery
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github-code-interpreter
GitHub 源码解读助手。适用于用户提供 GitHub 仓库链接，并希望解读源码、理解原理、分析架构、生成学习报告或快速上手文档时使用。会在 working 目录下生成源码解读和快速上手两份文档。默认先交付初稿，不自动复查；如果用户明确同意，再安排后续复查。不适用于仅克隆仓库或只要一句简介的场景。
openclaw-ops
OpenClaw 运维助手。用于用户提到 OpenClaw、小龙虾、gateway、渠道连接、消息发送失败、服务不可达、日志排查、渠道或 Agent 管理时使用。优先执行状态检查与故障分流；涉及重启、修复、更新、配置变更等高影响操作时，先向用户说明再执行。
claude-config-advisor
审查或设计 Claude Code 项目配置。用于用户提到 `.claude`、`CLAUDE.md`、Claude 配置文件、项目级 Claude 自定义配置、配置结构是否合理、该创建哪些配置文件，或希望从零规划 Claude 配置时使用。默认先审查或诊断，再给方案；只有用户明确要求时，才进一步输出推荐结构或样例文件。
openclaw-session-cleaner
OpenClaw session 清理助手。用于用户提到清理 OpenClaw sessions、删除旧 cron session、压缩或重建 sessions.json、排查 session 文件膨胀时使用。触发后优先检查 ~/.openclaw/agents/main/sessions/ 下的 session 文件数量和 sessions.json 大小，并按指令执行清理。
claudian-installer
Claudian 安装助手。适用于用户想在 Obsidian 仓库中安装 Claudian 插件，或提到“Claudian”“Claude Code in Obsidian”“install Claudian plugin”时使用。会把插件文件复制到目标 vault 并引导用户启用插件。
copaw-ops
CoPaw 运维助手。用于用户提到 copaw 运维、服务无响应、渠道断连、MCP 失败、模型调用失败、cron 不执行、Docker 部署、重载、重启或重置恢复时使用。优先执行状态检查与故障分流；涉及重启、重载、重置、配置修改等高影响动作时，先向用户说明再执行。
mermaid
Mermaid 图绘制助手。适用于用户明确要求绘制 Mermaid 图，或提到流程图、架构图、时序图、状态图、甘特图、ER 图、用户旅程图、类图，并希望直接输出 Mermaid 代码块时使用。会先判断最合适的图类型，再生成可渲染、结构清晰的 Mermaid 代码，并在必要时附上简短说明或迭代建议。不适用于追求高保真视觉设计稿的场景。
prompt-optimizer
Prompt 优化助手。适用于用户想优化提示词、改进 AI 指令、为特定任务设计更好的 prompt，或需要选择合适提示框架时使用。会根据任务场景匹配合适框架，必要时先追问关键信息，再输出更清晰、更可执行的提示词版本。
opendataloader-pdf
PDF 数据提取工具。当用户提到"PDF 提取"、"PDF 转 Markdown"、"PDF 解析"、"提取 PDF 内容"、"PDF 转 JSON"、"RAG PDF"时使用。OpenDataLoader PDF 是目前基准测试第一的 PDF 解析器，支持本地模式（快速、确定）和混合 AI 模式（复杂表格、扫描件、公式），输出 Markdown、JSON（带边界框）、HTML。适用于需要从 PDF 提取结构化数据用于 RAG/LLM pipeline，或需要批量处理 PDF 文档的场景。
openclaw-wiki
OpenClaw 官方文档知识库。适用于用户询问 OpenClaw 相关问题，如安装、配置、Gateway、WhatsApp/Telegram/Discord 等渠道连接、Sessions、Tools、Skills、Pi Agent、CLI、故障排查等场景。默认先查本地文档，文档不足时再考虑联网补充。
sync-skills
Skills 同步助手。将本地目录、GitHub 仓库或 skillsmp.com 页面的 skill 同步到用户选择的 AI 编码工具目录。使用 AskUserQuestion 选择目标（支持多选和自定义路径），展示同步计划后执行，同名 skill 会被覆盖。必须包含 ~/.agents/skills 作为同步目标。
skill-optimizer
优化和重构现有 skill。用于检查目标 skill 的触发描述、SKILL.md 工作流、确认门槛、渐进式披露，以及 references/scripts/assets 的组织方式。当用户提到“优化 skill”“检查 skill 质量”“改进某个 skill”“重构技能说明”，或直接说明要优化哪些方面时使用。默认先审查、再出计划、等待用户确认后再修改目标 skill。
qoder-wiki
Qoder 官方文档知识库，包含产品介绍、用户指南、功能配置、扩展能力、账户定价和故障排查。当用户询问 Qoder 相关问题（如安装、使用、功能、定价、快捷键、MCP、Skills、Quest Mode、Repo Wiki 等）时使用此 skill。
paper-interpreter
论文解读助手。适用于用户发送 arXiv 论文链接，并希望下载论文、解读论文、生成读书笔记、做论文拆解或输出详细报告时使用。会在工作目录创建论文文件夹、下载 PDF 与 TeX Source（如有）、生成中文 Markdown 报告。默认先交付初稿，不自动复查；如果用户明确同意，再安排后续复查。不适用于只要简短推荐语的情况。
solana-dev
Use when user asks to "build a Solana dapp", "write an Anchor program", "create a token", "debug Solana errors", "set up wallet connection", "test my Solana program", "deploy to devnet", or "explain Solana concepts" (rent, accounts, PDAs, CPIs, etc.). End-to-end Solana development playbook covering wallet connection, Anchor/Pinocchio programs, Codama client generation, LiteSVM/Mollusk/Surfpool testing, and security checklists. Integrates with the Solana MCP server for live documentation search. Prefers framework-kit (@solana/client + @solana/react-hooks) for UI, wallet-standard-first connection (incl. ConnectorKit), @solana/kit for client/RPC code, and @solana/web3-compat for legacy boundaries.
software-security
A software security skill that integrates with Project CodeGuard to help AI coding agents write secure code and prevent common vulnerabilities. Use this skill when writing, reviewing, or modifying code to ensure secure-by-default practices are followed.
solana-dev
Use when user asks to "build a Solana dapp", "write an Anchor program", "create a token", "debug Solana errors", "set up wallet connection", "test my Solana program", "deploy to devnet", or "explain Solana concepts" (rent, accounts, PDAs, CPIs, etc.). End-to-end Solana development playbook covering wallet connection, Anchor/Pinocchio programs, Codama client generation, LiteSVM/Mollusk/Surfpool testing, and security checklists. Integrates with the Solana MCP server for live documentation search. Prefers framework-kit (@solana/client + @solana/react-hooks) for UI, wallet-standard-first connection (incl. ConnectorKit), @solana/kit for client/RPC code, and @solana/web3-compat for legacy boundaries.
youtube-collector
유튜브 채널을 등록하고 새 컨텐츠를 수집하여 자막 기반 요약을 생성하는 skill. 사용자가 (1) 유튜브 채널 등록/관리를 요청하거나, (2) 등록된 채널의 새 영상 수집을 요청하거나, (3) 유튜브 영상 요약을 요청할 때 사용. 데이터는 .reference/ 폴더에 YAML 형식으로 저장됨.
subagent-creator
Create specialized Claude Code sub-agents with custom system prompts and tool configurations. Use when users ask to create a new sub-agent, custom agent, specialized assistant, or want to configure task-specific AI workflows for Claude Code.
slash-command-creator
Guide for creating Claude Code slash commands. Use when the user wants to create a new slash command, update an existing slash command, or asks about slash command syntax, frontmatter options, or best practices.
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
hook-creator
Create and configure Claude Code hooks for customizing agent behavior. Use when the user wants to (1) create a new hook, (2) configure automatic formatting, logging, or notifications, (3) add file protection or custom permissions, (4) set up pre/post tool execution actions, or (5) asks about hook events like PreToolUse, PostToolUse, Notification, etc.
google-calendar
gogcli를 사용하여 Google Calendar 일정을 조회, 검색, 생성, 수정, 삭제하는 skill. "일정 확인해줘", "캘린더 보여줘", "오늘 일정", "이번주 일정", "미팅 잡아줘", "일정 추가", "calendar events", "일정 생성", "스케줄 확인", "빈 시간 확인", "일정 삭제" 등 Google Calendar 관련 요청에 트리거된다.
gmail
gogcli를 사용하여 Gmail 메일을 검색, 조회, 발송하는 skill. "메일 검색해줘", "이메일 보내줘", "gmail search", "메일 확인해줘", "최근 메일", "메일 답장", "gmail send", "메일 보내줘", "안 읽은 메일" 등 Gmail 관련 요청에 트리거된다.
chart-visualization
将数据可视化为图表。当用户需要生成柱状图、折线图、饼图、散点图、雷达图、桑基图、思维导图、流程图等图表时调用此技能，通过 curl 工具调用 AntV API 生成图表图片
antv-g2-chart
Generate G2 v5 chart code. Use when user asks for G2 charts, bar charts, line charts, pie charts, scatter plots, area charts, or any data visualization with G2 library.
antv-s2-expert
S2 multi-dimensional cross-analysis table development assistant (Expert Skill). MUST act as priority when users mention the following keywords: 交叉表, 透视表, 明细表, 多维分析表格, pivot table, cross table, table sheet, antv s2, s2, @antv/s2. Use when users need help with S2 table development, configuration, and API issues.
antv-x6-editor
X6 图编辑引擎代码生成技能，支持流程图、DAG、ER图、血缘图等图编辑场景的节点/边/端口/交互/插件配置
icon-retrieval
Search icons through HTTP API and retrieve SVG strings with curl.
infographic-creator
Create beautiful infographics based on given text content. Use when users request to create infographics.
narrative-text-visualization
Generate structured narrative text visualizations from data using T8 Syntax. Use when users want to create data interpretation reports, summaries, or structured articles with semantic entity annotations. T8 is designed for unstructured data visualization where T stands for Text and 8 represents a byte of 8 bits, symbolizing deep insights beneath the text.
antv-skills-maintainer
Automatically sync documentation and configuration after any skill is added or updated. Triggers on every AI code execution to keep README Available Skills and .claude-plugin/marketplace.json up to date.
antv-g6-graph
G6 v5 图可视化代码生成技能，支持网络图、树形图、流程图等多种图类型的初始化、布局、交互和插件配置
airflow-adapter
Airflow adapter pattern for v2/v3 API compatibility. Use when working with adapters, version detection, or adding new API methods that need to work across Airflow 2.x and 3.x.
annotating-task-lineage
Annotate Airflow tasks with data lineage using inlets and outlets. Use when the user wants to add lineage metadata to tasks, specify input/output datasets, or enable lineage tracking for operators without built-in OpenLineage extraction.
airflow
Queries, manages, and troubleshoots Apache Airflow using the `af` CLI. Use when working with anything related to Airflow - a DAG, a DAG run, a task log, an import or parse error, a broken DAG, or any Airflow operation. Covers listing and triggering DAGs, retrying runs, reading task logs, diagnosing failures, debugging import and parse errors, checking connections, variables and pools, exploring the REST API, and monitoring health (for example "trigger a pipeline", "retry a run", "list connections", "check Airflow health", "why did my DAG fail"). This is the entrypoint that routes to sibling skills for authoring, testing, deploying, and migrating Airflow 2 to 3. Not for warehouse/SQL analytics on Airflow metadata tables (use analyzing-data); for deep root-cause reports use debugging-dags or airflow-investigation.
airflow-hitl
Builds human-in-the-loop (HITL) Airflow workflows - approval gates, form input, and human-driven branching. Use when a DAG needs a human in the loop - an approval or reject step, sign-off before a task runs, a decision or approval UI, branching on a human choice, or collecting form input mid-run; also on mentions of ApprovalOperator, HITLOperator, HITLBranchOperator, HITLEntryOperator, or HITLTrigger. Requires Airflow 3.1+. Not for AI/LLM task calls (see migrating-ai-sdk-to-common-ai).
airflow-state-store
Persists task and asset state across retries and DAG runs using Airflow 3.3's AIP-103 key/value stores (`task_state_store`, `asset_state_store`) and the crash-safe `ResumableJobMixin`. Use when the user asks about task state store, checkpointing in tasks, persisting state across retries, job IDs surviving worker crashes, watermarks, asset metadata, resumable tasks, crash-safe operators, or "what's new in Airflow 3.3". Also use proactively when reading a DAG that uses Variables or XCom for intra-task coordination state — flag the anti-pattern and recommend task_state_store or asset_state_store instead. Requires Airflow 3.3+.
analyzing-data
Queries the data warehouse with SQL and answers business questions about data. Use when answering anything that needs warehouse data - counts, metrics, trends, aggregations, joins across tables, data lookups, or ad-hoc SQL analysis (for example "who uses X", "how many Y", "show me Z", "find customers", "what is the count").
authoring-dags
Workflow and best practices for writing Apache Airflow DAGs. Use when creating a new DAG, write pipeline code, handling questions about DAG patterns and conventions or extending an existing DAG with a follow-up/downstream task. ANY request shaped like 'add a DAG named X', 'write a pipeline', 'add a task that runs after Y', or 'extend the DAG'. For testing and debugging DAGs, see the testing-dags skill.
blueprint
Define reusable Airflow task group templates with Pydantic validation and compose DAGs from YAML. Use when creating blueprint templates, composing DAGs from YAML, validating configurations, or enabling no-code DAG authoring for non-engineers.
tracing-upstream-lineage
Trace upstream data lineage. Use when the user asks where data comes from, what feeds a table, upstream dependencies, data sources, or needs to understand data origins.
tracing-downstream-lineage
Trace downstream data lineage and impact analysis. Use when the user asks what depends on this data, what breaks if something changes, downstream dependencies, or needs to assess change risk before modifying a table or DAG.
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