Results for “versioning”

Enforces the Vikingo Studio standard for WordPress plugins and repos: naming taxonomy, plugin headers, folder structure, versioning, release flow, private update channel, admin UI rules, security baseline, and pre-release checklist.

Deploy a trained model to serving with versioning, shadow or canary rollout, and a tested rollback path.

ML Pipeline Specialist IA — Expert en pipelines ML (feature stores, data versioning, experiment tracking, model registry)

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform

Cut releases, validate changelogs, and manage git hooks for a project.

Instrument LLM applications with Langfuse for tracing, prompt versioning, evaluation, and dataset management across Python and JavaScript SDKs.

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow.

ML pipeline design — data versioning, experiment tracking, deployment patterns, drift monitoring. Use when building an ML pipeline from data to deployment, setting up MLOps tooling (DVC, MLflow, model registry), choosing deployment patterns (shadow, canary, A/B), or designing monitoring for drift and degradation.

Enforces the complete release checklist for ClawRouter: version sync, CHANGELOG, build, tests, npm publish, git tag, and GitHub release, with no steps skipped.

Data Version Control for ML projects. Track large datasets and models alongside Git, build reproducible ML pipelines, and run experiments with metric comparison. Works with any storage backend including S3, GCS, Azure, and local filesystems.

Generate consistent, auditable release notes from Conventional Commits, compute semantic version bumps, and enforce commit format linting.

Composite skill — promote the long-lived `release` branch to `main`, cut a single version that batches every PR accumulated since the last tag, then clean up. Chains pr-merge-readiness (on release→main PR) → version-bump (semver from commits) → changelog-update (promote [Unreleased] → versioned) → ship (tag + GitHub release) → stale-branch cleanup → optional ship-it for deploy. Use this INSTEAD of releasing every small fix individually. Many small commits become one well-scoped release.

Provides Git-like version control for ArcGIS web maps, exposing branch, commit, diff, push/pull, and map discovery as callable tools.

Generates user-facing changelogs for stable releases of the Galyarder Framework, following calendar versioning and including breaking changes, highlights, improvements, fixes, and contributor attribution.

Track ML experiments, manage the model registry with versioning, deploy models, and reproduce experiments using MLflow's framework-agnostic platform.

Automates the full release workflow for a single-package GitHub repository, from analysis through changelog authoring and PR creation using gh and git.

Automates project releases with version bumping, multi-language changelog generation, and GitHub Release creation. Supports Node.js, Python, Rust, and generic projects.

Manages Python package publishing, versioning, and distribution builds on PyPI, including dependency resolution, index configuration, and package health analysis.

Streams live training metrics, system stats, and gradients from active W&B runs, alerts on metric regressions, and posts summaries to Slack.

Build, test, lint, version, and publish production-grade Python libraries to PyPI with support for multiple build backends, versioning strategies, and CI/CD.

Use this skill for clasp workflows, Apps Script local development, manifests, deployments, versioning. Trigger when the task involves apps work related to Clasp Local Dev Deploy, production implementation, audits, debugging, strategy, or validation.

Manages a MariaDB database schema across its lifecycle using the MariaDB Schema Management plugin via the mariadb-shell MCP server, covering project creation, versioned development, releases, and deployment.

Execute AEM Edge Delivery Services admin operations: manage content, cache, code, indexes, sitemaps, snapshots, logs, users, jobs, sites, config, secrets, API keys, tokens, profiles, and versioning. Also supports Document Authoring operations.