Loading...
Loading...
Found 44 Skills
GitHub Actions workflow authoring for CI/CD pipelines. Covers workflow syntax, triggers, jobs, steps, matrix strategies, caching, artifacts, reusable workflows, composite actions, secrets management, OIDC authentication, and permissions hardening. Use when creating workflows, configuring jobs, setting up caching, or automating releases. Use for github-actions, workflow, ci, cd, actions, jobs, steps, matrix, cache, artifact, secrets, reusable-workflow.
Application security principles and OWASP Top 10. Covers injection prevention, authentication, authorization, data protection, secrets management, and security review practices.
Use this skill when setting up CI/CD pipelines, configuring GitHub Actions, implementing deployment strategies, or automating build/test/deploy workflows. Triggers on GitHub Actions, CI pipeline, CD pipeline, deployment automation, blue-green deployment, canary release, rolling update, build matrix, artifacts, and any task requiring continuous integration or delivery setup.
Best practices for writing reliable Pulumi programs. Covers Output handling, resource dependencies, component structure, secrets management, safe refactoring with aliases, and deployment workflows.
Manage secrets with Doppler: CLI operations, project/config/environment management, secrets injection, CI/CD integrations, and security best practices.
Infisical integration. Manage data, records, and automate workflows. Use when the user wants to interact with Infisical data.
Implements authentication, authorization, encryption, secrets management, and security hardening patterns. Use when designing auth flows, managing secrets, configuring CORS, implementing rate limiting, or when asked about JWT, OAuth, password hashing, API keys, RBAC, or security best practices.
Author ZenML pipelines: @step/@pipeline decorators, type hints, multi-output steps, dynamic vs static pipelines, artifact data flow, ExternalArtifact, YAML configuration, DockerSettings for remote execution, custom materializers, metadata logging, secrets management, and custom visualizations. Use this skill whenever asked to write a ZenML pipeline, create ZenML steps, make a pipeline work on Kubernetes/Vertex/SageMaker, add Docker settings, write a materializer, create a custom visualization, handle "works locally but fails on cloud" issues, or configure pipeline YAML files. Even if the user doesn't explicitly mention "pipeline authoring", use this skill when they ask to build an ML workflow, data pipeline, or training pipeline with ZenML.