325 skills · sorted by relevance
Coordinate a Claude Code plugin release by updating version numbers across manifests, checking the build, creating a Git tag and GitHub release, and regenerating the changelog. The workflow also publishes to npm and verifies the published version.
Coordinate software releases on GitHub, from version updates and release notes to testing, builds, deployment, and rollback. It describes workflows using multiple AI agents, including coordinated package releases and gradual deployments with monitoring.
Finalize a prepared release by dating and versioning its changelog section, updating configured version files with bumpversion, and creating a release commit and tag. Verify the results and leave them ready to push.
Configure Amazon S3 storage with encryption, access restrictions, and version history. Set rules for moving or deleting older files, replicate data across regions, create temporary access links, and investigate permission or policy problems.
Design REST or GraphQL APIs by defining who will use them, what data they expose, and how requests behave. Establish error formats, versioning, pagination, and authentication, then review examples for consistency before implementation.
Design and review REST and GraphQL APIs with consistent naming, data structures, error responses, pagination for large result sets, and versioning strategies. Helps teams define shared standards and plan changes that existing clients can adopt gradually.
Prepare a library release on GitHub by reviewing code changes, proposing a version number, drafting a changelog, and opening a release pull request. Version and changelog reviews let you confirm the details before proceeding.
Audit AWS S3 buckets for public exposure, excessive permissions, and gaps in encryption or versioning settings. Use AWS CLI, Prowler, and access analysis to compile findings, prioritize issues, and plan or apply configuration fixes.
Design REST and GraphQL APIs by clarifying who will use them and how. Define data structures, errors, authentication, pagination, and versioning, then review examples to make the interface consistent and easier to use.
Guide the design of AI product features with output validation, responses displayed as they arrive, prompt versioning, and testing. Address API costs, failures, and unsafe input when preparing language model integrations for production.
Design LLM applications using patterns for answers grounded in documents, agents that use tools, and prompt testing. Implementation examples also cover monitoring response quality, latency, costs, and failures during operation.
Use W&B to record machine learning experiments, visualize training, and compare results. The skill also covers automated searches for training settings and version tracking for datasets and models, helping teams share experiments and trace their inputs.
Compare a Python SDK release plan or candidate with the previous release to assess compatibility, versioning, and proven regressions. Produce a ship-or-block recommendation, documentation handoff, and key changes for minor releases.
Test marketing prompts against shared cases, score required content, prohibited phrases, and output format, and compare alternatives. Keep version history and diffs, use reusable templates, and check that prompt or model updates preserve output quality.
Create and maintain reusable Jira issue descriptions and Confluence page structures for meeting notes, requirements, decisions, and other shared documents. The skill guides template design, generates Confluence markup, and covers validation, versioning, deployment, and usage instructions.
Review REST API specifications with automated checks for inconsistent conventions and breaking changes—changes that disrupt existing clients. Get a design grade, improvement recommendations, and tool reports to support release reviews and API migrations.
Manage files in Google Cloud's Cloud Storage buckets, the containers that hold stored data. Upload, download, and organize content, configure access and time-limited sharing links, and manage storage lifecycle, costs, and data protection.
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.
Build infrastructure as code with Terraform across AWS, Azure, and GCP. Create reusable modules, manage state records that track resources, configure environments and providers, and validate proposed changes before applying an explicitly approved plan.
Build machine learning workflows that connect data checks, training, evaluation, and deployment. The skill implements experiment tracking, model version management, and automated retraining, with reproducible environments and explicit validation thresholds before models enter production.
Guide an app release through version updates, merging, Git tags that mark a release version, and publication checks. Follow the specified package update commands and rerun the release workflow when a tag needs another attempt.
Build in-game changelogs that connect release notes and displayed versions to successful production deployments. Reconstruct supported history, integrate menu navigation and accessible controls, and verify version consistency and behavior on desktop and mobile.
Inventory old and undocumented API versions, then compare their authentication, request limits, input validation, and exposed fields with current versions. Uses API specifications and archived records to identify overlooked endpoints with weaker security controls.
This skill covers reproducible research pipelines and replication packages. Use when the user is setting up a research project directory structure, configuring workflow managers (Make, Snakemake, DVC), managing computational environments, preparing replication packages for journal submission, or debugging reproducibility failures. Triggers on "reproducible", "replication package", "Makefile", "Snakemake", "DVC", "pipeline", "workflow manager", "data versioning", "conda environment", "Docker", "seed management", "AEA data editor", "replication", "project structure", or "submission checklist".
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