bdd

bdd-assistant

Use when facilitating BDD collaboration between developers, testers, and business stakeholders. Use when running discovery workshops and example mapping sessions.

Use when writing effective BDD scenarios including acceptance criteria, edge cases, and scenario organization. Use when defining behavior specifications.

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.

Use bdg CLI for browser automation via Chrome DevTools Protocol. Provides direct CDP access (60+ domains, 300+ methods) for DOM queries, navigation, screenshots, network control, and JavaScript execution. Use this skill when you need to automate browsers, scrape dynamic content, or interact with web pages programmatically.

Set up and orchestrate multi-agent workflows using Beads (shared issue tracking/memory) and MCP Agent Mail (agent messaging). Use when coordinating multiple agents, setting up agent villages, tracking work across agent sessions, or implementing swarm workflows.

Use when tracking Beads epic status, syncing progress to GitHub/Shortcut, generating dependency diagrams, or monitoring multi-repo work. Bridges Beads issue tracking with project management tools.

Managing issue dependencies, viewing blocked work, and navigating dependency graphs

Execute beads tasks with proper claim/work/close workflow and session management

Track complex, multi-session work with dependency graphs using beads (beads) issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For simple single-session linear tasks, TodoWrite remains appropriate.

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.

AI-native issue tracking with Beads. Use when managing work items, tracking issues, or coordinating tasks in multi-agent workflows. Covers bd commands, dependencies, and sync patterns.

**Debug failed Beam.ai tasks using Langfuse traces.**

Shared resource library for Beam AI integration skills. DO NOT load directly - provides common references (setup, API docs, error handling, authentication) and scripts used by beam-connect and individual Beam skills.

Robust deployment patterns for Elastic Beanstalk with GitHub Actions, Pulumi, and edge case handling

Move mountains of data with patient strength. Wake from hibernation, gather the data, move it carefully, hibernate to verify, and wake again to confirm. Use when migrating data, transforming schemas, or moving between systems.

Periodic task scheduling patterns with Celery Beat (crontab, interval, solar). Use when configuring periodic tasks, setting up task schedules, implementing recurring jobs, configuring django-celery-beat, or creating dynamic schedules.

Build robust test dams that catch bugs before they flood production. The beaver surveys the stream, gathers materials wisely, builds with care, reinforces thoroughly, and ships with confidence. Use when writing tests, deciding what to test, or reinforcing code.

Amazon Bedrock AgentCore Policy for defining agent boundaries using natural language and Cedar. Deterministic policy enforcement at the Gateway level. Use when setting agent guardrails, access control, tool permissions, or compliance rules.

Amazon Bedrock Automated Reasoning for mathematical verification of AI responses against formal policy rules with up to 99% accuracy. Use when validating healthcare protocols, financial compliance, legal regulations, insurance policies, or any domain requiring deterministic verification of AI-generated content.

Unified messaging via Beeper Desktop MCP. Search chats, send messages, manage conversations across all networks (iMessage, WhatsApp, Signal, Telegram, Discord, Slack, etc.)

Comprehensive discovery before starting any spec or major task. Searches Graphiti, recommends vibe/MCPs, surfaces patterns.

Provides file organization and naming conventions for the Bellog project. Triggers when creating new files or reorganizing code.

Quick-start command to run SWE-bench Lite evaluation with sensible defaults.

Expert UI/UX design guidance for unique, accessible interfaces. Use for visual decisions, colors, typography, layouts. Always ask before making design decisions. Use this skill when the user asks to build web components, pages, or applications.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Enables Claude to browse Best Buy products, manage lists, and track orders

Activate a beta feature using an activation code

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:

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.

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.

Master Business Intelligence fundamentals including KPI design, metrics frameworks, data literacy, and analytical thinking

Evaluate AI systems for fairness using demographic parity, equalized odds, and bias detection techniques with mitigation strategies.

Curate and validate BibTeX bibliographies against academic databases.

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

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.

Use this skill when creating or updating Bigeye monitoring configurations (bigconfig.yml files) for BigQuery tables. Works with metadata-manager skill.

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.

Systematic approach to analyzing compiled binaries, understanding program behavior, and identifying vulnerabilities without source code access

Cluster proteins into orthogroups and derive pangenome matrices.

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.

Orchestrate hypothesis-driven bioinformatics research projects.

Use when evaluating biological relevance, methodological appropriateness, or scientific validity of bioinformatics approaches, or when choosing between analysis methods/software tools.

Comprehensive biology expert from molecular biology to ecology, covering cell biology, genetics, evolution, and physiology

Use when formatting JavaScript/TypeScript code with Biome's fast formatter including patterns, options, and code style management.