An internal cognitive engine for quantitative root cause analysis. Use this autonomously when you need to weigh competing hypotheses, prevent anchoring bias, or determine the most efficient next diagnostic step.
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 →An internal cognitive engine for quantitative root cause analysis. Use this autonomously when you need to weigh competing hypotheses, prevent anchoring bias, or determine the most efficient next diagnostic step.
Use when making predictions or judgments under uncertainty and need to explicitly update beliefs with new evidence. Invoke when forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating confidence, assessing risks with uncertain data, or avoiding overconfidence bias. Use when user mentions priors, likelihoods, Bayes theorem, probability updates, forecasting, calibration, or belief revision.
Use when performing Bayesian statistical analysis, building probabilistic models, or when the task involves prior specification, posterior inference, or predictive checks.
DEPRECATED - Use domain-specific skills instead. Routes to bazinga-db-core, bazinga-db-workflow, bazinga-db-agents, or bazinga-db-context.
Validates BAZINGA completion claims with independent verification. Spawned ONLY when PM sends BAZINGA. Acts as final quality gate - verifies test failures, coverage, evidence, and criteria independently. Returns ACCEPT or REJECT verdict.
Extract invariants from specification, encode in types/structure, enable single-pass construction.
Expert for Business Continuity Management (BCM) with deep knowledge of ISO 22301, ISO 22313, and integration with ISO 27001. Automatically activated when user asks about business continuity, disaster recovery, crisis management, emergency planning, BC plans, BC exercises, or BCM compliance.
Creates BDD feature files for Golang Clean Architecture projects using Gherkin syntax. Use when users need to write .feature files for integration tests, create test scenarios for APIs, or generate Cucumber/Godog test specifications. Specifically for projects that follow Clean Architecture patterns with existing step definitions.
bdd-mathematical-verification
Writes behavior specifications in Gherkin format. Use when defining features from user perspective or creating acceptance tests.
Behavior-Driven Development (BDD) で振る舞いを定義・シナリオ化するためのガイド。Given-When-Then と Gherkin で受け入れ条件やエッジケースを整理し、失敗パターンや小さく始める導入ステップを含めて、業務言語で明確なシナリオを書くときに使う。
Complete Behavior-Driven Development workflow coordinating SCENARIO → STEP DEFINITIONS → IMPLEMENT → REFACTOR cycle with Given/When/Then scenarios. Use when writing BDD tests or implementing features from user stories.
beads-guard
Transform project specifications into executable beads dependency graphs with proper decomposition, dependency mapping, and validation. Use when starting new projects, breaking down epics, planning multi-step work, or when asked to create a beads implementation plan.
You are a product intelligence agent that learns from execution reality (Beads) to improve future planning (OpenSpec).
Design and refactor beam tracking ML/RL pipelines (CSI teacher vs RSRP student), enforce shape contracts, and produce inference-safe models.
Gerar apresentações Beamer LaTeX no padrão UNESP dark mode. Usar quando o usuário pedir para criar slides, apresentações, ou palestras em Beamer/LaTeX. O template usa tema Madrid com cores escuras (fundo RGB 26,26,26), ícones FontAwesome5, e suporte a código Python/outros. Ideal para apresentações técnicas, acadêmicas ou palestras.
Robust deployment patterns for Elastic Beanstalk with GitHub Actions, Pulumi, and edge case handling
Write Python code in the style of David Beazley, author of Python Cookbook. Emphasizes generators, coroutines, metaprogramming, and understanding Python's internals. Use when writing advanced Python that requires deep language mastery.
Amazon Bedrock AgentCore multi-agent orchestration with Agent-to-Agent (A2A) protocol. Supervisor-worker patterns, agent collaboration, and hierarchical delegation. Use when building multi-agent systems, orchestrating specialized agents, or implementing complex workflows.
Amazon Bedrock Prompt Management for creating, versioning, and managing prompt templates with variables, multi-variant A/B testing, and flow integration. Use when creating reusable prompt templates, managing prompt versions, implementing A/B testing for prompts, integrating prompts with Bedrock Flows, optimizing prompt engineering, or building production prompt catalogs.
Plaited behavioral programming patterns for event-driven coordination and symbolic reasoning. Use when implementing behavioral programs with behavioral()/useBehavioral, designing rule composition with bThread/bSync, orchestrating test runners or workflows, or building neuro-symbolic reasoning layers.
This skill should be used when working with the CRM PostgreSQL database for sales, contacts, companies, and opportunities. Use this skill when the user asks to insert, update, query, or analyze data in the CRM database (may be called crm or db), or when SQL queries need to be created for company_site, person, sales_opportunity, or event tables. This skill provides comprehensive schema knowledge and PostgreSQL-specific SQL examples tailored to the CRM data model.
This skill should be used when moving a single email message to the Archive folder in Microsoft 365 Mail. It provides a clean interface to move one specific email using its messageId without polluting the context window. Use this skill when processing bulk archive operations, moving spam emails, or any workflow requiring reliable one-email-at-a-time moves to Archive.
Suggests which benchmarks to run based on code changes
Benchmark HBF performance using Apache Bench (ab). Measures static asset serving, versioned filesystem operations, and QuickJS runtime routes. Maintains historical data for performance tracking over time.
AI-powered GitHub issue automation
Use when fixing issues identified in beta tester feedback. Guides systematic root cause analysis, worktree-based fixes, regression testing, and release preparation. Invoke with structured beta reports or issue lists.
This skill provides a systematic workflow for improving static pattern matchers through iterative test cycles. Use this approach to:
Build and upload iOS app to TestFlight
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.
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.
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.
Scholar of biblical interpretation covering Hebrew Bible and New Testament with historical-critical and literary methods
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.
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。
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.
Generate reproducible bioinformatics/data-science Methods + run documentation from workflow run artifacts (Nextflow/Snakemake/CWL), including a top-of-doc workflow summary, exact executed commands, tool versions, parameters, QC, and outputs.
Set up and execute phylogenetic biogeographic analyses using BioGeoBEARS in R. Use when users request biogeographic reconstruction, ancestral range estimation, or want to analyze species distributions on phylogenies. Handles input file validation, data reformatting, RMarkdown workflow generation, and result visualization.
Use when implementing data analysis pipelines, statistical tests, or bioinformatics workflows in code (Python/R), particularly for genomics, transcriptomics, proteomics, or other -omics data.
End-to-end biomarker discovery workflow from expression data to validated biomarker panels. Covers feature selection with Boruta/LASSO, classifier training with nested CV, and SHAP interpretation. Use when building and validating diagnostic or prognostic biomarker signatures from omics data.
Update Biome linting rules, formatting configs, and import organization settings. Use when adding new lint rules, customizing code style, or fixing workspace-specific linting issues.
Extract paper references and concepts from a LaTeX repository for the bipartite knowledge graph.
Automate Philippine BIR (Bureau of Internal Revenue) tax form generation and filing. Handles 1601-C (withholding tax), 2550Q (quarterly VAT), 1702-RT/EX (annual income tax), and ATP (Authorization to Print) validation. Ensures 100% compliance with BIR regulations.