Explorar skills

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

Guide for creating new skills in Kai's personal AI infrastructure. Use when user wants to create, update, or structure a new skill that extends capabilities with specialized knowledge, workflows, or tool integrations. Follows both Anthropic skill standards and PAI-specific patterns.

Expert in reading data from Logseq DB graphs via HTTP API or CLI. Auto-invokes when users want to fetch pages, blocks, or properties from Logseq, execute Datalog queries against their graph, search content, or retrieve backlinks and relationships. Provides the logseq-client library for operations.

This skill is for interface design — dashboards, admin panels, apps, tools, and interactive products. NOT for marketing design (landing pages, marketing sites, campaigns).

Figma MCPで取得したデザイン変数をTailwind CSS標準クラスに変換する。Figma MCPのコード生成後やデザイン実装時に自動起動。

需求转译 - 将主观、模糊、口语化的用户需求翻译为结构化、精确的AI可执行规格。 This skill should be used when the user gives a vague, subjective, or ambiguous requirement, or when the user explicitly requests requirement translation. Triggers: 需求转译, 翻译需求, 明确需求, 细化需求, "帮我分析一下这个需求", "这个需求不够清楚"

Guides users on modern async patterns including native async fn in traits, async closures, and avoiding async-trait when possible. Activates when users work with async code.

Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring

Email has the highest ROI of any marketing channel. $36 for every $1 spent. Yet most startups treat it as an afterthought - bulk blasts, no personalization, landing in spam folders. This skill covers transactional email that works, marketing automation that converts, deliverability that reaches inboxes, and the infrastructure decisions that scale. Use when: keywords, file_patterns, code_patterns.

Audit UX waiting states for web applications with long-running operations (30+ seconds). Use when asked to evaluate, audit, or analyze a product's loading states, wait times, progress indicators, or user experience during slow operations. Requires browser automation (Chrome MCP tools). Generates comprehensive reports with screenshots, checklist evaluation, and prioritized recommendations.

Maintain a clear and informative changelog for software releases. Use when documenting version changes, tracking features, or communicating updates to users. Handles semantic versioning, changelog formats, and release notes.

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.