全部能力

Security guidelines for LLM applications based on OWASP Top 10 for LLM 2025. Use when building LLM apps, reviewing AI security, implementing RAG systems, or…

Expert brand strategy covering brand positioning, identity development, brand architecture, messaging frameworks, and brand governance. Use when developing brand positioning statements, creating messaging frameworks, auditing brand health metrics, building brand architecture models, or establishing brand governance guidelines.

Reviews pull requests and code changes for quality, security, and best practices. Use when user asks for code review, PR review, or mentions reviewing changes.

EXPERIMENTAL: Three-layer parallel meta-cognition analysis. Triggers on: /meta-parallel, 三层分析, parallel analysis, 并行元认知

Create, tune, and manage Elastic Security detection rules (SIEM and Endpoint). Use for false positives, exceptions, new coverage, noisy rules, or rule management via Kibana API.

openapi-specification-v3.2 — an installable skill for AI agents, published by hairyf/skills.

Create, search, update, and manage SOC cases via the Kibana Cases API. Use when tracking incidents, linking alerts to cases, adding investigation notes, or managing triage output.

Run repository security scans.

通过引导式工作流编排多个 Antigravity 技能，用于 SaaS MVP 交付、安全审计、AI 智能体构建和浏览器 QA。

Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific data assets (use finding-data-lake-assets), full catalog audits (use exploring-data-catalog), importing data (use ingesting-into-data-lake).

创建一个布尔类型的 first 标志，添加评估，为端到端验证开启/关闭切换。父级 onboarding 第 6 步；使用 MCP、API 或 ldcli；可选的 flag-create skill。

Manage Serverless network security (traffic filters): create, update, and delete IP filters and AWS PrivateLink VPC filters. Use when restricting network access or configuring private connectivity.

Clarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve…

Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog. Do NOT use for finding specific data (use finding-data-lake-assets), running queries (use querying-data-lake), or creating tables (use creating-data-lake-table).

全平台付费广告审计，采用并行子代理委派机制。分析 Google Ads、Meta Ads、LinkedIn Ads、TikTok Ads 和 Microsoft Ads…

Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin. Analyzes PRs for complexity and risk, checks code quality for SOLID violations…

Run composable security analysis.

Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table, structured data storage, S3 Tables, Iceberg, Athena table, partitioning strategy, access permissions. Do NOT use for: importing files (use ingesting-into-data-lake), vector storage (use storing-and-querying-vectors), querying existing tables (use querying-data-lake), or locating existing table (use finding-data-lake-assets).

Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift. Triggers on: find the table, where is our data, which table has, locate dataset, find data for, search catalog, what tables match, Redshift table, lakehouse table, data lake table, warehouse table, reverse lookup S3 path. Do NOT use for: full catalog audits (use exploring-data-catalog), running queries (use querying-data-lake), creating tables (use creating-data-lake-table).

Comprehensive Nushell scripting best practices, idioms, security, and code review. Use when writing, reviewing, auditing, or refactoring Nushell (.nu) scripts to ensure they follow idiomatic patterns, naming conventions, proper type annotations, functional style, security best practices, and Nushell's unique design principles. Triggers on tasks involving Nushell scripts, modules, custom commands, pipelines, or any .nu file editing. Also helps convert Bash/POSIX scripts to idiomatic Nushell. Covers the type system, data manipulation, performance optimization, security hardening, script review, and common gotchas.