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.

Analyzes bear-put-spread debit spreads for bearish directional plays with defined risk. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting moderate price decline, comparing put spread configurations, analyzing debit spread opportunities, or evaluating defined-risk bearish positions on mid to large-cap stocks.

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.

Deterministic BeatLab pipeline utilities (validate, render grid, export MIDI/WAV). Use for running scripts instead of reasoning about validation/rendering.

Multi-language code quality standards for TypeScript, Python, Go, and Rust. Enforces type safety, security, performance, and maintainability with progressive enforcement. Use when writing, reviewing, or refactoring code across any of these languages.

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.

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.

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.)

Search and browse local Beeper chat history (threads, messages, full-text search).

Query ecobee thermostat data via Beestat API including temperature, humidity, air quality (CO2, VOC), sensors, and HVAC runtime. Use when user asks about home temperature, thermostat status, air quality, or heating/cooling usage.

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.

AI operasyonel modları (beyin fırtınası, uygulama, hata ayıklama, inceleme, öğretme, dağıtım, orkestrasyon). Görev türüne göre davranışı uyarlamak için kullanın.

Help users apply behavioral science to product design. Use when someone is designing for habit formation, reducing friction, applying psychology to UX, increasing retention through behavioral principles, or using nudges to influence user behavior.

Apply behavioral science to product design and produce a Behavioral Product Design Pack (target behavior, behavioral diagnosis, intervention map, prioritized concepts, design specs, experiment + instrumentation plan, ethics/trust review). Use for retention, onboarding, habit loops, and behavior change problems.

Calibrate behavioral profiles for consistent agent operation.

Optimize for behavioral SEO signals including CTR, dwell time, engagement metrics, and Bing-specific factors.

Beken Corporation MPN encoding patterns, suffix decoding, and handler guidance. Use when working with Beken WiFi and BLE SoC components or BekenHandler.

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.

bel-crm-sql-rules

Download files stored in the CRM PostgreSQL database and save them to the filesystem in `_RESULTS_FROM_AGENT/`.

This skill should be used when inserting files (images, PDFs, Excel files, documents) into the CRM database and linking them to companies, people, events, or sales opportunities. The skill handles base64 encoding, hash calculation, MIME type detection, and SQL insertion automatically through a Python script.

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.

Open any file on disk using the operating system's default application for viewing.

View files stored in the CRM database by downloading them to disk and opening them in the default application. This is an orchestration skill that combines the download and open workflows.

Design religious and belief systems for fictional worlds. Use when creating pantheons, religious institutions, spiritual practices, or any belief structures that shape society and drive character motivation.

Provides Framer Motion animation patterns and best practices specific to the Bellog blog project. Triggers when implementing animated components or interactions.

Provides custom React hooks patterns and best practices specific to Bellog. Triggers when creating custom hooks or implementing interactive features.

Provides Notion CMS integration patterns and best practices for Bellog. Triggers when working with Notion data or implementing Notion-based features.

Provides guidance on React Server Components vs Client Components decision-making in Bellog. Triggers when creating new components.

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