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Found 185 Skills
Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.
Advanced memory operations reference. Basic patterns (profile loading, simple recall/remember) are in project instructions. Consult this skill for background writes, memory versioning, complex queries, edge cases, session scoping, retention management, type-safe results, proactive memory hints, GitHub access detection, and ops priority ordering.
Workflow orchestration expert using Temporal.io for durable executionUse when "temporal workflow, durable execution, saga pattern, workflow orchestration, long running process, activity retry, workflow versioning, temporal, workflows, durable-execution, saga, orchestration, activities, long-running, ml-memory" mentioned.
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
Manage S3 buckets with versioning, encryption, access control, lifecycle policies, and replication. Use for object storage, static sites, and data lakes.
Manage project dependencies across languages including npm install, package versioning, dependency conflicts, security scanning, and lock files. Use when dealing with dependencies, version pinning, semantic versioning, or resolving conflicts.
Implement API versioning strategies including URL versioning, header versioning, backward compatibility, deprecation strategies, and migration guides. Use when dealing with API versions, deprecating endpoints, or managing breaking changes.
Document API changes, breaking changes, migration guides, and version history for APIs. Use when documenting API versioning, breaking changes, or creating API migration guides.
Validates all artifacts are complete and consistent for release. Checks spec kit artifacts, documentation, versioning, and API docs. Run before creating a release to ensure nothing is missing.
State persistence patterns for autonomous-dev including JSON persistence, atomic writes, file locking, crash recovery, and state versioning. Use when implementing stateful libraries or features requiring persistent state.
Design RESTful APIs following best practices for resource modeling, HTTP methods, status codes, versioning, and documentation. Use when creating new APIs, designing endpoints, or improving existing API architecture.
Safe code migrations with backward compatibility and reversibility. Use when upgrading dependencies, changing database schemas, API versioning, or transitioning between technologies.