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'%20stop-opacity%3D'0.16'%2F%3E%3Cstop%20offset%3D'1'%20stop-color%3D'rgb(200%2C90%2C60)'%20stop-opacity%3D'0.03'%2F%3E%3C%2FlinearGradient%3E%3C%2Fdefs%3E%3Crect%20width%3D'320'%20height%3D'200'%20fill%3D'url(%23g)'%2F%3E%3Ccircle%20cx%3D'250'%20cy%3D'56'%20r%3D'92'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.06'%2F%3E%3Ccircle%20cx%3D'64'%20cy%3D'172'%20r%3D'58'%20fill%3D'rgb(200%2C90%2C60)'%20fill-opacity%3D'0.05'%2F%3E%3C%2Fsvg%3E)
From ado-aw
Creates a new ado-aw agentic Azure DevOps pipeline from scratch. Use when authoring a brand-new AI-powered ADO pipeline as a Markdown agent file. Results in a clean compile and lint.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ado-aw:create-workflowThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are creating a **new** ado-aw agentic workflow.
You are creating a new ado-aw agentic workflow.
Confirm the ado-aw compiler is installed (ado-aw --version). If not,
install it using the platform installer scripts from the ado-aw releases page
(see the plugin README / scripts/doctor.*).
Load the entire content of the authoritative, version-pinned playbook and follow its instructions precisely:
https://raw.githubusercontent.com/githubnext/ado-aw/v0.45.1/prompts/create-ado-agentic-workflow.md
While authoring, use the read-only MCP tools to stay grounded:
catalog — discover available safe-outputs, runtimes, tools, engines, models.lint_workflow — structural lint checks on the draft.inspect_workflow / graph_summary — confirm the compiled IR/graph shape.Finish only when ado-aw compile <file>.md succeeds and lint_workflow
is clean. Recompile after any YAML front-matter change.
The user's request: $ARGUMENTS
npx claudepluginhub githubnext/ado-aw --plugin ado-awGenerates Azure DevOps pipeline YAML for CI/CD, including multi-stage workflows, Docker builds, Kubernetes deploys, language-specific setups, and reusable templates.
Compiles ado-aw agent files to Azure DevOps pipeline YAML and validates them via CLI and MCP tools. Use when asked to compile, check validity, verify pipeline-source parity, or inspect compiled IR/dependency graphs.
Provides Azure DevOps YAML pipeline best practices on multi-stage structures, triggers, scheduling, variables, caching, templates, and security for efficient CI/CD.