Loading...
Loading...
Found 4,881 Skills
Comprehensive toolkit for generating best practice GitHub Actions workflows, custom local actions, and configurations following current standards and conventions. Use this skill when creating new GitHub Actions resources, implementing CI/CD workflows, or building reusable actions.
Comprehensive toolkit for validating, linting, and testing GitHub Actions workflow files, custom local actions, and public actions. Use this skill when working with GitHub Actions YAML files (.github/workflows/*.yml), validating workflow syntax, testing workflow execution with act, or debugging workflow issues.
Terraform infrastructure-as-code workflow patterns: state and environments, module design, safe plan/apply, drift control, and CI guardrails
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.
[Tooling & Meta] Restore workflow context from checkpoint after session loss
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent workflows, tool integrations, or streaming applications with the openai-agents package.
Execute deployment through Makefile targets with ENV_MODE and optional VERSION overrides. Use when running real deployment or dry-run preview in Makefile-first workflow.
Normalize and validate deployment version under Makefile-first workflow. Use when reading or validating version for test/prod/custom environments before make-based deployment.
Archive deployment records with merged common+environment config context (including remote port) for Makefile-first deployment workflow.
Build DAG-based AI pipelines connecting Gradio Spaces, HuggingFace models, and Python functions into visual workflows. Use when asked to create a workflow, build a pipeline, connect AI models, chain Gradio Spaces, create a daggr app, build multi-step AI applications, or orchestrate ML models. Triggers on: "build a workflow", "create a pipeline", "connect models", "daggr", "chain Spaces", "AI pipeline".
This skill should be used when the user asks to "commit changes", "craft a commit message", "stage and commit", "commit only session edits", or run a commit workflow with flags like --all, --deep, or --push. Creates atomic git commits with heuristic analysis, conventional-commit formatting, staging rules, optional deep analysis, and optional push.
Expert guidance on TYPO3 Workspaces: versioning, staging, publishing workflows, file limitations, query migration, debugging, and testing. Use when working with workspace, versioning, staging, publishing, review, draft content, workflow.