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Found 173 Skills
Deploy iOS and Android apps to App Store and Google Play. Covers signing, versioning, build configuration, submission process, and release management.
Manage S3 buckets with versioning, encryption, access control, lifecycle policies, and replication. Use for object storage, static sites, and data lakes.
AWS CloudFormation patterns for Amazon S3. Use when creating S3 buckets, policies, versioning, lifecycle rules, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.
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.
This skill should be used when the user asks to "bump release", "cut a release", "tag a release", "bump version", "create a new release", or mentions release versioning, changelog updates, or version tagging workflows.
NuGet package management best practices including versioning strategies, central package management, and dependency resolution. Use when setting up Central Package Management (CPM), managing package versions across multiple projects, or resolving dependency conflicts in .NET solutions.
Build conversational AI voice agents with ElevenLabs Platform. Configure agents, tools, RAG knowledge bases, agent versioning with A/B testing, and MCP security. React, React Native, or Swift SDKs. Prevents 34 documented errors. Use when: building voice agents, AI phone systems, agent versioning/branching, MCP security, or troubleshooting @11labs deprecated, webhook errors, CSP violations, localhost allowlist, tool parsing errors.
Use when designing REST or GraphQL APIs, creating OpenAPI specifications, or planning API architecture. Invoke for resource modeling, versioning strategies, pagination patterns, error handling standards.
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
Overview of Experimental MVCC feature - snapshot isolation, versioning, limitations
Comprehensive guide for designing RESTful APIs including resource modeling, versioning strategies, HATEOAS, pagination, filtering, and HTTP best practices