dependency-upgrade
Manage major dependency upgrades through systematic compatibility analysis, staged rollout strategies, and automated testing.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
332 skills found
Manage major dependency upgrades through systematic compatibility analysis, staged rollout strategies, and automated testing.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.
Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.
Prefect CLI skill for executing mutation operations like triggering deployments, canceling flow runs, and managing automations within your Prefect infrastructure.
Capture and formalize software development ideas into structured design documents within the Hashbrown repository, including research and conceptual sketches.
Analyze codebases to generate evidence-grounded Loa artifacts using Enterprise-Grade Managed Scaffolding for structured reality mapping.
Generate triage reports and analyze feature area health for the Windows App SDK repository. Identify high-priority issues, triage backlogs, and team focus areas.
Standardized technical documentation templates for ADRs, runbooks, architecture, and knowledge transfer in AI agent workflows.
Maintain and synchronize Unified Impact Diagrams using the Diagram Driven Development (DDD) methodology to connect technical architecture with user value.
Synchronize project documentation with code. Maintains feature specs, API contracts, and READMEs using init-project standards to ensure traceability and completeness.
AI-powered secrets and credentials scanner. Detects hardcoded API keys, passwords, and sensitive data in your codebase with contextual analysis to reduce false positives.