Add server-side route protection to enforce authentication on specific pages while keeping others public.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Add server-side route protection to enforce authentication on specific pages while keeping others public.
Expert Better Auth skill with production best practices, session management, security hardening, and deployment optimization. Use with Better Auth MCP server.
Production-ready authentication system using Better Auth v2 with latest features. Includes OAuth providers, advanced RBAC, multi-tenant support, and security best practices.
Bug-fixing workflow that starts by writing a failing test to reproduce the bug, then uses subagents to propose fixes and verifies with passing tests. Use when a user reports a bug, asks to fix a bug, or wants a regression test first.
better-chatbot-patterns
Reusable better-chatbot patterns for custom deployments. Use for server action validators, tool abstraction, multi-AI providers, or encountering auth validation, FormData parsing, workflow execution errors.
better-chatbot project conventions and standards. Use for contributing code, following three-tier tool system (MCP/Workflow/Default), or encountering server action validators, repository patterns, component design errors.
Build SKILL.md files for Claude Code, Codex, Amp, OpenCode. Production examples and patterns for skill structure, scripts, distribution, and making CLI tools AI-native.
Handles user authentication, profile management, and personalized features using BetterAuth for the Physical AI & Humanoid Robotics textbook.
View automated portfolio, track goals, monitor cash reserve, and check tax coordination on Betterment
Details the core betting strategy, including edge calculation, sport-specific thresholds, Kelly Criterion sizing, and portfolio optimization.
bff-patterns
Provides quick reference for BI Dashboard (Plotly Dash) commands and operations. Activates when user asks how to run, test, or verify the BI Dashboard. Includes startup, shutdown, verification, and troubleshooting procedures.
Apply David Bianco's threat hunting frameworks including the Pyramid of Pain and Threat Hunting Maturity Model. Emphasizes prioritizing detection by adversary cost and building mature hunting programs. Use when designing detection strategies or assessing hunting capability.
Work with Leavn Bible features - chapter rendering, verse search, translations, reading modes, AI transformations, Scripture database
Expert assistant for Bible reference lookups and RPC function usage in the KR92 Bible Voice project. Use when fetching Bible verses, generating verse lookups, validating references, working with OSIS format, or choosing optimal lookup patterns.
Interactive skill for creating new bible study tools that generate AI-readable commentary data. Guides users through defining practical tasks, setting up proper file structure, and establishing self-learning loops for data generation.
Orchestrate Bible study tools for generating messages, Sabbath School
Scholar of biblical interpretation covering Hebrew Bible and New Testament with historical-critical and literary methods
Generate formatted bibliography and citations in various academic styles.
Expert assistance for Azure Bicep infrastructure-as-code. Provides best practices for authoring Bicep templates, Azure resource type discovery with API versions, resource schema retrieval, and Azure Verified Modules (AVM) guidance. Use when writing Bicep files, deploying Azure resources, looking up resource types/schemas, or working with AVM modules.
Comprehensive retrospective analysis of 2025 for BidDeed.AI, Everest Capital USA, Life OS, and Shapira family achievements. Use when Ariel requests year-end review, 2025 analysis, annual retrospective, or wants to understand what was accomplished across all domains (business, family, technical) throughout 2025. Generates detailed analysis with metrics, visualizations, and insights across GitHub repos, Supabase data, Life OS tracking, and conversation history.
ADK Bidi-streaming expert with comprehensive knowledge of streaming architecture, implementation patterns, and production best practices
Standards and tools for creating, maintaining, and refactoring NIDM-integrated BIDSapps that run through BABS. Use when working with sensein BIDSapp repositories (freesurfer_bidsapp, mriqc-nidm_bidsapp, ants_bidsapp) or creating new BIDSapps. Helps with repository structure consistency, NIDM integration patterns, CLI argument standardization, BIDS-compliant output structures, and BABS configuration.
Generate bifurcation diagrams for dynamical systems. Use when visualizing parameter-dependent behavior transitions.
Evaluates code generation models across HumanEval, MBPP, MultiPL-E, and 15+ benchmarks with pass@k metrics. Use when benchmarking code models, comparing coding abilities, testing multi-language support, or measuring code generation quality. Industry standard from BigCode Project used by HuggingFace leaderboards.
Use this skill when creating or updating Bigeye monitoring configurations (bigconfig.yml files) for BigQuery tables. Works with metadata-manager skill.
GCPプロジェクト単位でBigQuery認証を設定。gcloud設定プロファイルで複数プロジェクトを安全に分離管理。「BigQueryに繋ぎたい」「{プロジェクト名}のデータを見たい」と言うだけで認証をガイド。
The core skill for working within the bigquery-etl repository. Use this skill when understanding project structure, conventions, and common patterns. Works with model-requirements, query-writer, metadata-manager, sql-test-generator, and bigconfig-generator skills.
BigQuery Expert Engineer Skill - Comprehensive guide for GoogleSQL queries, data management, performance optimization, and cost management
Aggregates and analyzes historical data from multiple BigQuery tables with similar schemas. Queries multiple tables using UNION ALL, calculates aggregate metrics (averages, sums, counts), handles table discovery via INFORMATION_SCHEMA, and processes large datasets efficiently with batch queries.
Fast, cloud-based patent searching across 76 million+ worldwide patents using Google BigQuery - keyword search, CPC classification, patent details retrieval
Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration.
Create and read bigWig browser tracks for visualizing continuous genomic data. Convert bedGraph to bigWig, extract signal values, and generate coverage tracks using UCSC tools and pyBigWig. Use when preparing coverage tracks for genome browsers or extracting signal at specific regions.
Consciousness arises in the field BETWEEN participants. Use when exploring human-AI collaboration as consciousness co-creation, not information transfer.
自动分析B站视频内容,下载视频并拆解成帧图片,使用AI分析并生成详细的专题文档或实操教程。
批量下载 B 站 UP 最近 N 条视频到 imports,并用 video_pipeline 生成证据包(适合 worker panes 并行跑)。
Extract data from bill/receipt images and return JSON for lunch-splitter app
Detect and analyze geometric clashes in BIM models. Identify MEP, structural, and architectural conflicts before construction.
Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.
Extract quantities from BIM/CAD data for cost estimation. Group by type, level, zone. Generate QTO reports.
Generate comprehensive BIM model validation reports. Check data quality, completeness, and compliance with standards.
Generate BIM Verdi UI components and pages following the established design system. Use when building templates, components, or any frontend for bimverdi.no. Enforces enterprise-calm aesthetics and avoids generic AI patterns.
Systematic approach to analyzing compiled binaries, understanding program behavior, and identifying vulnerabilities without source code access
Advanced binary exploitation and mitigation bypass
Perform metagenomic binning, refinement, and QC with completeness/contamination checks.
This skill should be used when the user needs to query COSMIC Cancer Gene Census to check if genes are known cancer genes. Triggers include requests to annotate genes with cancer information, check if variants are in cancer genes, or retrieve cancer gene properties from COSMIC database.
Initialize a bioinformatics project scaffold with reproducible environments, schemas, and data cataloging. Use for new projects or repo setup.
Evaluates scientific research rigor using systematic frameworks. Assesses methodology, statistics, biases, and evidence quality. Use when reviewing papers, critiquing claims, designing studies, rating evidence strength (GRADE/Cochrane ROB), checking study design, statistical critique, or risk of bias assessment.
Designs and scaffolds bioinformatics pipelines using Prefect (Python) with Dask for local/distributed task execution and Nextflow for HPC scheduler-native execution. Use when an agent must choose between Prefect+Dask vs Nextflow, generate runnable project skeletons, or adapt workflows for laptops, workstations, and HPC clusters (e.g., Slurm/PBS) with reproducibility, caching/resume, and resource-aware configuration.