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Make your local gbrain accessible to other devices and cloud agents through MCP, a connection interface for AI tools. Set up Tailscale access, assign limited permissions to each client, configure authentication, and verify connections.

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• Accessing gbrain from another laptop or phone
• Connecting cloud agents to your local gbrain
• Giving each client limited access permissions

Consolidate inconsistent gbrain page types into the standard gbrain-base-v2 classification. Preview proposed changes, convert redirect pages into aliases and relationship pages into links, then verify the migration with original type information retained for rollback.

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• Consolidate inconsistent page types
• Preview a migration to gbrain-base-v2
• Convert redirect pages into aliases

Add GBrain memory to an existing agent or connect a hosted brain while preserving current instructions and identity. Start with storage and keyword search that need no API key, then verify saving, retrieval, and recall across conversations.

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• Add memory to an existing Claude Code or Codex agent
• Connect an agent to a hosted brain
• Diagnose an incomplete installation while preserving memory

Diagnose and repair GBrain’s Postgres access with a fixed recovery command. Apply routine fixes, request approval for configuration rewrites, and verify connectivity afterward. Credential problems and other manual cases are returned with instructions for the operator.

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• Diagnose GBrain database connection failures
• Apply routine fixes such as reconnecting or pending migrations
• Review and approve connection configuration rewrites

Manage shell commands and AI agent tasks through a shared gbrain job queue. Track progress, steer agents, pause or resume work, and coordinate parallel tasks, with guidance for long operations, completion reporting, and reusable stage checkpoints.

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• Run scripts as monitored background jobs
• Coordinate parallel research by AI agents
• Redirect, pause, or resume an agent task

Manage recurring jobs with staggered schedules, collision checks, and quiet hours that hold notifications until morning contact. The workflow checks for duplicate side effects on reruns and saves dated reports of job results.

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• Scheduling recurring tasks at staggered times
• Holding nighttime notifications until morning
• Preventing duplicate output when jobs rerun

Install or update Iron Proxy and its official Iron Control console for NanoClaw. Configure stored credentials, access grants, allowed destinations, and human approval checks for outbound requests through a local Docker installation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Install Iron Proxy and its management console
• Configure credentials and access grants
• Set allowed destinations and human approvals

Implement Zoom webhooks, HTTP notifications sent when events occur, such as meetings starting or recordings becoming available. Use reference guidance for event selection, subscriptions, signature verification, endpoint validation, delivery handling, and retries.

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• Receiving notifications when cloud recordings are ready
• Choosing meeting and participant events to subscribe to
• Implementing webhook signature verification

Find information across connected workplace sources by turning a question into targeted searches. The skill adapts queries for each source, ranks and deduplicates results, and combines findings into an answer about decisions, status, documents, or policies.

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• Find past decisions across chats and documents
• Check project status across connected sources
• Locate specifications or internal policies

Explore a table or data file before starting analysis. Summarize its structure, missing values, duplicates, and distributions, flag potential quality issues, and suggest useful measures, grouping columns, and follow-up analyses.

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• Understanding an unfamiliar table or data file
• Checking missing values, duplicates, and suspicious entries
• Choosing measures and grouping columns for analysis

Write and improve SQL for major data warehouses, accounting for differences in their syntax. Use it to build analytical queries, translate existing SQL, investigate errors, and review slow queries for performance improvements.

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• Translate SQL from PostgreSQL to BigQuery
• Review slow queries for performance improvements
• Calculate retention rates and funnel conversion

Turn a plain-language data request into SQL tailored to your database. Build queries that combine tables, filter records, and calculate summaries, with explanations of each step, performance considerations, and suggestions for adjusting dates or other conditions.

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• Create SQL for order counts by status
• Analyze retention by signup month
• Query large tables with date-based partitions

Deploy FastGPT on your own server using its official installation script and Docker Compose, which runs its services together. Check service health and access, investigate deployment problems, and receive the access URL, initial login details, and next steps.

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• Setting up FastGPT on your own server
• Checking service health after deployment
• Investigating port conflicts or container startup failures

Turn a written app specification into a runnable starter project using the requested technology stack. Generate implemented features, tests, configuration files, and setup instructions, then check the project for common omissions.

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• Turning a requirements document into a starter project
• Creating a task API with FastAPI and SQLite
• Building a recipe-sharing website with Next.js

Design and operate shared secret storage with HashiCorp Vault or cloud services. The skill guides access policies, automated credential rotation, temporary credentials, audit analysis, and secret delivery to applications and deployment pipelines.

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• Setting up Vault or a cloud secret store
• Automating database password and API key rotation
• Auditing access to secrets

Audit a codebase before production deployment across eight areas, including security, databases, dependencies, and AI usage. Receive findings with file locations, manual checklists, and a release verdict that blocks shipping when critical issues remain.

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• Check an application before its first production release
• Find security and database issues before deployment
• Review backup restoration and rollback readiness

Turn plain language requirements into SQL, investigate slow queries, document database structures, and prepare migration templates with rollback plans. Support everyday database development and ORM use, where libraries connect application code to database tables.

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• Writing SQL for reports and data retrieval
• Investigating slow queries and repeated database calls
• Preparing schema changes and rollback plans

Design and build backend services with API scaffolding, database migrations, authentication reviews, and load testing. Generate route handlers from OpenAPI specifications, identify PostgreSQL optimization opportunities, and compare architecture choices against traffic, data sensitivity, and reliability requirements.

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• Generating API route handlers from OpenAPI
• Investigating slow PostgreSQL queries
• Reviewing authentication and input validation

Review database structures and relationships, identify design issues, and generate relationship diagrams. The skill recommends indexes, which help queries find data efficiently, and prepares migration steps with validation and rollback planning.

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• Reviewing table structures and relationships
• Improving indexes for frequent queries
• Planning database changes without downtime

Design and review system architecture, compare databases and structural approaches, and document technical decisions. Included tools generate architecture diagrams, inspect dependencies, and assess project structure to identify circular relationships, excessive coupling, and opportunities for improvement.

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• Comparing monolith and microservices approaches
• Choosing a database for project requirements
• Generating diagrams from an existing project

Choose a web application stack, generate a starter project, and assess existing code quality. Uses team size, release frequency, audience, and budget to guide recommendations, with reports covering security, complexity, dependencies, and prioritized improvements.

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• Generating a starter project for a web application
• Choosing a technology stack within team and budget constraints
• Reviewing code security and complexity

Prepare trained machine learning models for production with deployment, monitoring, and retraining workflows. Build RAG systems that retrieve documents for answers, and integrate language model APIs with retries, fallback providers, and cost tracking.

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• Deploying a trained model to production
• Setting up model monitoring and retraining workflows
• Building a RAG pipeline for document-based answers

Guide cmux backend changes with consistent rules for Effect, a TypeScript library for structured error handling. Covers Cloud VM state, database migrations, provider integrations, and authentication and payment checks so changes follow the intended architecture.

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• Implementing API error handling
• Updating Cloud VM lifecycle logic
• Preparing database migrations

Deploy applications to Render by inspecting code and preparing build settings, environment variables, and required services. Generates render.yaml deployment configuration or creates services through MCP, then checks deployment status, logs, and basic health.

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• Publish a web application on Render
• Prepare deployment configuration for multiple services
• Set up databases and scheduled jobs