Explorar skills

Standardize and validate SKILL.md files against the Agent Skills specification (agentskills.io). Use when creating new skills, auditing existing skills for spec compliance, converting legacy skill formats to standard structure, or improving descriptions for reliable triggering. Triggers on: "validate skill", "create SKILL.md", "standardize skill format", "check skill spec", "skill frontmatter", "i

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

Converts static web or Next.js projects into ArcBlock blocklets using provided DID. Analyzes project structure, generates configuration files, and validates setup. Requires blocklet DID as parameter.

Send SMS messages with Azure Communication Services SMS Java SDK. Use when implementing SMS notifications, alerts, OTP delivery, bulk messaging, or delivery reports.

CLAIM a specific GitHub issue to START working on it. Requires an issue number. Performs validation, atomic claim, posts claim comment, and sets up worktree. Use when user wants to begin work on a specific issue number (e.g., "claim #201", "start working on issue #N").

Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and

新功能设计探索流程。当用户有模糊想法要做新功能/新模块时使用。通过"需求收敛 → 技术调研 → ASCII 批量探索 → HTML 设计稿 → 全状态覆盖 → 需求总结"的结构化流程，从模糊想法产出可交付的设计参考文档，作为 PRD 阶段的输入。

Deploy and manage Cloudflare Workers, Pages, KV, R2, D1, and other Cloudflare services using the `wrangler` CLI.

Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar

Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based ag

Generate descriptive commit messages by analyzing git diffs. Use when

Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineering tasks. Supports both stats.nba.com endpoints and static player/team lookups.