Core BDD concepts, philosophy, and the Three Amigos practice

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

bdd-specification-patterns

bdd-test-implementation

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.

Browser debugging and telemetry via Chrome DevTools Protocol. Use when testing the Astro dev server, inspecting network requests, debugging console errors, capturing screenshots, or interacting with DOM elements on localhost:4321.

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.

Manage beads correctly including claiming, closing, announcements, and dependencies. Use when starting work on a task, when finishing a task, when the user mentions beads or tasks, or when coordinating with other agents on task ownership.

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.

Task tracking across sessions. All issue tracking goes through `bd`.

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

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

Use Beads CLI (`bd`) commands to manage tasks, status, and progress tracking for Ralph's autonomous execution. Use when: (1) Querying ready tasks with `bd ready`, (2) Updating task status (open → in_progress → closed), (3) Adding progress comments to tasks, (4) Managing task details (priority, design, notes, labels), (5) Handling task dependencies. This skill enables Ralph to use Beads' native memory and state 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.

beads-validation

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.

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

Beam dropshipping and product sync context

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.

This skill provides patterns for MongoDB integration using Beanie ODM with async Motor driver, optimized for FastAPI applications.

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.

Interacts with Bear note-taking app on macOS via X-Callback-URL. Use when user asks to create Bear notes, search notes, add text to notes, manage tags, capture web pages to Bear, or perform any other Bear note management tasks. Supports note creation, text appending, tag management, note search, and web page capture.

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.

Create publication-quality, aesthetically refined charts in Python/Jupyter (matplotlib/seaborn): readable axes, tight whitespace, and curated palettes (categorical/sequential/diverging).

Render Mermaid diagrams as SVG and PNG using the Beautiful Mermaid library. Use when the user asks to render a Mermaid diagram.

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.

Develop software in the style of Kent Beck, creator of Test-Driven Development and Extreme Programming. Emphasizes red-green-refactor, tests-first design, small steps, and emergent architecture. Use when writing new features, refactoring legacy code, or establishing development discipline.

Amazon Bedrock AgentCore deployment patterns for production AI agents. Covers starter toolkit, direct code deploy, container deploy, CI/CD pipelines, and infrastructure as code. Use when deploying agents to production, setting up CI/CD, or managing agent infrastructure.

Amazon Bedrock AgentCore Memory for persistent agent knowledge across sessions. Episodic memory for learning from interactions, short-term for session context. Use when building agents that remember user preferences, learn from conversations, or maintain context across sessions.

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 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 AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services. Use when building Bedrock agents, deploying AI agents to production, or integrating with AgentCore services.

Amazon Bedrock Agents for building autonomous AI agents with foundation model orchestration, action groups, knowledge bases, and session management. Use when creating AI agents, orchestrating multi-step workflows, integrating tools with LLMs, building conversational agents, implementing RAG patterns, managing agent sessions, deploying production agents, or connecting knowledge bases to agents.

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.

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.

AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.

Gather scattered ideas into organized GitHub issues. The bee collects pollen from every flower, checks if the hive already has it, and carefully deposits new work in the comb for later. Never edits code—only organizes the work ahead. Use when creating issues from TODOs or planning work.

Guidelines and best practices for building applications with [Beefree SDK](https://docs.beefree.io/beefree-sdk), including installation, authentication, configuration, customization, and template mana

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.

Start development session with diagnostics, context loading, and intelligent task menu

Begin the interactive Elixir/Phoenix tutorial with guided sections and pauses for understanding

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 the user asks to create a contact in Outlook from freeform text data (e.g., business cards, email signatures, addresses). It handles parsing contact information and creating properly structured Outlook contacts that sync to mobile devices.

Uses the mcp postgresql to read and write crm relevant data to the crm database:

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.