Results for “backups”

Use this skill when a restore test is due, an auditor or customer asks for proof that backups can be recovered, or someone says "plan a restore test", "prove we can recover in time", "our backups succeed but we never restored", "test our RTO and RPO", "write up the disaster recovery test" or "document the backup restore for the audit". Picks what to restore, writes a test plan with success criteria set before the test, records timings against the recovery objectives, and produces a signed-off test record with the issues found and their owners.

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Expert en Coolify avancé (self-hosting, Docker, déploiements, SSL, backups, gestion des ressources, multi-serveurs)

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Coolify infrastructure — Traefik, services, deploy, SSL, backups, resource management

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Coolify Specialist IA — Expert en Coolify (self-hosting, Docker, SSL, backups, one-click apps, migration)

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Compress memory files and task lists into shorter wording to reduce input tokens. Keeps code and document structure intact, saves a readable backup separately, and sends the text to the configured model provider.

• Shortening CLAUDE.md to reduce input tokens
• Compressing task lists and preference files
• Keeping readable backups of compressed files

Manage stored agent memories for backups, project transfers, and team knowledge sharing. Work with RVF, a portable memory format, to export and import records, upgrade formats, inspect storage statistics, and transfer patterns between local projects.

• Back up stored agent memories
• Transfer memories and patterns between projects
• Share stored knowledge with a team

Improve screenshots and digital images by increasing resolution, sharpening details, and reducing noise and compression artifacts. Prepare images for presentations, documentation, blogs, or social posts, with folder-wide batch processing and backups of the originals.

• Improving screenshots for blogs and documentation
• Upscaling images for presentations
• Preparing images for social media

Stress-test research plans by comparing possible scenarios, such as sample losses, unavailable materials, or methods failing to transfer. Record assumptions and evidence, compare response options, and define contingency plans and observable triggers for changing course.

• Plan responses to higher-than-expected sample losses
• Prepare backups for unavailable reagents or datasets
• Compare research options under resource constraints

Analyze a codebase to create project-specific AGENTS.md instructions and supporting rule files. Detect the package manager and relevant conventions, preview proposed changes, or update existing guidance when the project’s tools change.

• Create agent instructions tailored to an existing project
• Generate a minimal AGENTS.md file
• Refresh instructions after changing development tools

Set up and maintain an OpenViking server, from configuration and installation to startup, shutdown, and health checks. Includes troubleshooting through logs and a data cleanup procedure with backups and explicit deletion confirmation.

• Setting up an OpenViking server
• Checking server health and investigating startup failures
• Resetting stored data after creating a backup

Configure pfSense to separate internal, guest, DMZ, and IoT networks. Set firewall rules, port forwarding, VPN connections, and bandwidth policies, then check traffic logs and test that each network can reach only its intended destinations.

• Separate staff, guest, server, and IoT networks
• Set port forwarding rules for externally accessible services
• Configure VPN access and bandwidth policies

Plan and implement database structure changes and data transfers using Sequelize, TypeORM, or Prisma. Covers staged changes to keep services running, rollback procedures to undo changes, backups, and migration verification.

• Add, rename, or change database columns
• Transform data into a new structure
• Prepare and test rollback procedures

Design a database layer from business requirements, access patterns, and expected growth. Compare database technologies, define tables and relationships, and plan indexes, caching, scaling, migrations, backups, and recovery with clear reasons and trade-offs.

• Choosing a database for a new service
• Designing tables, relationships, and indexes
• Planning database migrations and rollback procedures

Manage cognee database migrations, from checking migration status and recovering blocked writes to creating schema or data updates. It also guides dataset backups, restores, and transfers using cognee’s portable COGX archive format.

• Recover writes blocked by a failed migration
• Create migrations for database structure or stored data
• Back up and restore datasets with COGX

Export data from Google Sheets as CSV for local backups or further processing. The recipe covers checking spreadsheet details, exporting through Google Drive, and reading a specified sheet range directly in CSV format.

• Keeping a local CSV backup of spreadsheet data
• Exporting spreadsheet data for further processing
• Reading a selected sheet range as CSV

Upgrade a customized NanoClaw installation by recording changes in a reusable migration guide and reapplying them to a clean upstream version. The workflow includes backups, validation in a separate working directory, and rollback instructions.

• Upgrade NanoClaw while preserving custom settings and code
• Document customizations in a reusable migration guide
• Validate an upgrade in a separate working directory

Deploy n8n on a Linux server using Docker Compose and Caddy for automatic HTTPS. Covers single-instance setups, workers for parallel execution, secret management, deployment checks, updates, backups, and restoration.

• Installing n8n on a VPS
• Running workflows in parallel with workers
• Publishing n8n with automatic HTTPS

Design and create new Cloud Storage buckets for uses such as backups, media, and AI data. Check project security and name availability, choose storage and protection settings, and produce creation commands or code in the preferred format.

• Creating storage for application media
• Designing buckets for sensitive data
• Preparing backup and long-term archive storage

Review GKE reliability settings for applications running in Kubernetes. Configure availability safeguards during maintenance, health checks, replica counts, graceful shutdown, and distribution across zones and nodes to help workloads handle disruptions.

• Reviewing GKE high availability
• Maintaining Pod availability during upgrades
• Configuring application health checks

Review past dsh agent sessions to identify recurring tasks and test proposed skill or memory improvements. This skill guides preview runs, validation on reserved tasks, staged proposals, adoption with backups, and scheduled nightly cycles.

• Extract recurring tasks from past agent sessions
• Test proposed skill and memory improvements
• Review staged changes before adopting them

Review past local Cursor sessions, identify recurring tasks, and propose changes to a project skill. Changes are tested on separate validation tasks and staged for review before adoption, with backups of existing files.

• Turn recurring Cursor tasks into a reusable skill
• Review proposed edits and validation scores before adoption
• Try the workflow without provider calls using mock

Review past Claude Code sessions and turn recurring tasks into proposed updates to skills and project memory. Replay tasks, compare scores on separate validation tasks, and review staged edits before applying them with backups.

• Consolidate repeated Claude Code corrections into reusable rules
• Review proposed changes to SKILL.md and CLAUDE.md
• Try the cycle without provider calls using mock

Apply staged skill improvements selected by the user after a fresh review of the actual changes. It backs up target files, applies passing patches, and records review evidence and change history for later inspection or reversal.

• Apply selected patches after a meta-optimize run
• Review staged changes immediately before applying them
• Keep backups for reverting skill changes

Apply staged improvements to skill files after explicit user selection and a fresh review by a different model family. Each applied change includes a backup, review records, and provenance details for later inspection.

• Apply selected patches after reviewing an optimization report
• Require a fresh model review before changing skill files
• Keep backups and review records for skill updates