443 skills · sorted by relevance
Coordinate multiple AI agents by adjusting their communication structure and task assignments as workloads change. The skill describes performance monitoring, switching coordination patterns, forecasting agent capacity, and validating changes with rollback when performance worsens.
Assess code change risk, locate complex areas, and inspect file statistics with ruflo analysis commands. The skill also guides running and extending ruflo’s regression guards, automated checks that help catch previously fixed problems.
Research existing code, documents, and relevant sources before producing a practical plan for implementation, migration, debugging, or evaluation. The plan explains key decisions, ordered steps, and validation checks, giving users something concrete to review before execution.
Design a process for AI agents to learn from execution records. Evaluate outcomes, actions, and quality, choose whether to update knowledge, instructions, code, or model parameters, and define independent validation, release checks, and rollback procedures.
Analyze campaign data across advertising platforms, check whether results are comparable, and assess costs and returns. Get budget test proposals with stated evidence, uncertainty, spending limits, and rollback criteria.
Plan and carry out major library and framework upgrades by checking compatibility, identifying changes that require code updates, testing each stage, and preparing rollback steps if an upgrade causes problems.
Provides prompts for assessing and planning .NET upgrades across multiple projects. Helps identify compatibility issues, order migration work, propose code and build pipeline changes, and prepare testing checklists, review guidance, and release documentation.
Assess an Azure resource using logs and performance measurements, investigate failures and their impact, and produce a prioritized remediation plan with concrete steps, validation procedures, rollback options, and monitoring recommendations.
Plan a WxJava upgrade by checking dependencies, Java requirements, configuration, and public API compatibility. The skill organizes changes into stages with compilation checks, regression tests, gradual rollout, and clear conditions for rolling back.
Design PostgreSQL tables around actual queries and data volumes. Choose data types, validation rules, and indexes, then plan large table partitioning, access rules for individual rows, and schema changes with migration and rollback considerations.
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.
Write and maintain technical documents for different readers, including READMEs, API references, operational procedures, architecture explanations, and onboarding guides. Organize practical examples, setup steps, design decisions, and recovery instructions around what each audience needs.
Update a customized NanoClaw installation with official changes. The skill stages and tests updates in a separate workspace, manages required migrations, restarts the detected service, and restores saved local state if the build or health checks fail.
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.
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.
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.
Turn Git history into release notes and recommend the next version based on commit types and breaking changes. Check commit formatting, filter changes by package, and generate Markdown or JSON for automated release workflows.
Create and review company procedures and operational guides, then audit internal wikis for outdated pages, missing owners, broken connections, and inconsistent terminology. Produce structured drafts, step checks, and a prioritized list of documents to improve.
Handle critical bugs in a released game through an emergency workflow. Investigate the cause, prepare a minimal fix, track reviews and tests, and verify the fix reaches development branches, with deployment approval and post-release checks recorded.
Helps address Google Cloud Security Command Center findings by planning targeted fixes for permissions, misconfigurations, vulnerabilities, and combined attack paths. It includes impact checks, verification, rollback steps, and execution after user approval.
Guide a Kortix production release from choosing a version and writing release notes to testing on staging, merging the release pull request, and verifying production. Diagnose blocked promotions and direct fixes back to the dev branch.
Guides machine learning work from data preparation and model training to evaluation and production monitoring. Covers PyTorch, scikit-learn, experiment tracking, and reproducible workflows so teams can compare models and maintain them after deployment.
Design automated build, test, and deployment workflows for GitHub Actions, GitLab CI/CD, and Jenkins. Covers job ordering, dependency caching, secret handling, and gradual releases that use health checks before expanding deployment.
Design how an AI agent edits its own working conversation history, choosing what to retain, rewrite, or remove. Covers safeguards, capacity monitoring, recovery after overflow, and the computing cost of changing earlier context.