Discover Agent Skills

Search Engine Optimization specialist for content strategy, technical SEO, keyword research, and ranking improvements. Use when optimizing website content, improving search rankings, conducting keyword analysis, or implementing SEO best practices. Expert in on-page SEO, meta tags, schema markup, and Core Web Vitals.

Build full-text bilingual, figure-aware, source-grounded Markdown reading files for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate an entire paper, make a complete markdown reader, preserve figure or table placement near the relevant prose, or keep exact source anchors for every block. Do not use this for summaries, bullet-keyword notes, or citation-only tasks.

Use when the user mentions Jira issues (e.g., "PROJ-123"), asks about tickets, wants to create/view/update issues, check sprint status, or manage their Jira workflow. Triggers on keywords like "jira", "issue", "ticket", "sprint", "backlog", or issue key patterns.

Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," or "SEO health check." For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup.

Use when building cross-platform mobile applications with React Native or Expo. Invoke for navigation patterns, platform-specific code, native modules, FlatList optimization. Keywords: React Native, Expo, mobile, iOS, Android, navigation.

Researches and prioritises SEO keywords with AEO question queries, difficulty tiers, cannibalization checks, and a content map. Activate when the user wants to find keywords, research search terms, or build a keyword strategy.

Analyzes multiple provided pages to identify keyword overlap and potential cannibalization issues. Suggests differentiation strategies. Use PROACTIVELY when reviewing similar content.

Analyzes keyword usage in provided content, calculates density, suggests semantic variations and LSI keywords based on the topic. Prevents over-optimization. Use PROACTIVELY for content optimization.

Writes SEO-optimized content based on provided keywords and topic briefs. Creates engaging, comprehensive content following best practices. Use PROACTIVELY for content creation tasks.

Transforms vague UI ideas into polished, Stitch-optimized prompts. Enhances specificity, adds UI/UX keywords, injects design system context, and structures output for better generation results.

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.

Use when setting up CI/CD pipelines, containerizing applications, or managing infrastructure as code. Invoke for pipelines, Docker, Kubernetes, cloud platforms, GitOps. Keywords: DevOps, CI/CD, Docker, Kubernetes, Terraform, GitHub Actions.

Creates optimized meta titles, descriptions, and URL suggestions based on character limits and best practices. Generates compelling, keyword-rich metadata. Use PROACTIVELY for new content.

Self-hosted semantic memory for AI agents via MCP. Save worklogs, decisions, and notes, then recall them across sessions by meaning, not keyword. Postgres + pgvector with auto-tagging.

Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. Trigger when the user needs real SEO data rather than static guidance.

飞书云文档：创建和编辑飞书文档。默认使用 DocxXML 格式（也支持 Markdown）。创建文档、获取文档内容（支持 simple/with-ids/full 三种导出详细度，以及 full/outline/range/keyword/section 五种局部读取模式，可按目录、block id 区间、关键词或标题自动成节只拉部分内容以节省上下文）、更新文档（八种指令：str_replace/block_insert_after/block_copy_insert_after/block_replace/block_delete/block_move_after/overwrite/append）、上传和下载文档中的图片和文件、搜索云空间文档。当用户需要创建或编辑飞书文档、读取文档内容、在文档中插入图片、搜索云空间文档时使用；如果用户是想按名称或关键词先定位电子表格、报表等云空间对象，也优先使用本 skill 的 docs +search 做资源发现。

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Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.

Use when asking about Rust code style or best practices. Keywords: naming, formatting, comment, clippy, rustfmt, lint, code style, best practice, P.NAM, G.FMT, code review, naming convention, variable naming, function naming, type naming, 命名规范, 代码风格, 格式化, 最佳实践, 代码审查, 怎么命名