Agent skills

Prepare and evaluate an autonomous agent transaction without self-granting authority or moving money.

Content quality and E-E-A-T analysis with AI citation readiness assessment, plus last-mile draft cleanup (AI-typical phrasing and…

Streamlines the manuscript preparation and submission process for the Journal of Agrotechnical Economics (《农业技术经济》).

Verifies academic bibliography metadata field-by-field against authoritative databases to eliminate citation hallucinations.

Create, update, inspect, or repair Data Analytics semantic layers.

Narrow conversion skill. Invoke only when the user explicitly asks to convert an existing local or blob-hosted HTML analytics report into…

Use when doing ANY task involving Supabase.

Core Data for iOS persistence. Data models, fetch requests, background contexts, and SwiftData migration.

防止 AI 幻覺，確保分析程式碼或提出建議時給出以證據為基礎的回應。 Use when: 分析程式碼、提出建議、提供選項，或使用者詢問把握度／確定性時。 Not for: 撰寫 AI 指令檔本身——請用 /ai-instruction-standards；審查具體的…

Synchronizes educational curriculum and lesson materials safely from upstream repositories to keep learning content up to date.

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Automates the delegation of code reviews to specialized AI sub-agents to identify bugs and architectural flaws before merging.

Prevent AI hallucination and ensure evidence-based responses when analyzing code or making suggestions.

Explain an AI or LLM concept at the depth the person actually needs — working definition, the mechanism, where it breaks, and the decision…

Checks whether AI crawlers and answer-time fetchers can actually retrieve the site: robots.txt directives per named agent, CDN, WAF and…

Synchronizes project configuration files across Agents.md, claude.md, and gemini.md to ensure consistent AI behavior and instructions.

Build production-ready LLM applications, advanced RAG systems, and intelligent agents.

Equips AI coding agents with 23 specialized engineering roles, domain-specific guidance, and production-ready technical scripts.

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent…

Design a Funhouse Mirror activity where students use their own domain expertise to detect AI distortions, omissions, and overconfidence.

Design AI-supported collaborative tasks that structure group interaction and address participation problems.