Stress-test a plan, decision, or idea through structured rounds of questions. The skill maps dependent choices as a decision tree, asks all currently answerable questions together, and waits for the user's answers before exploring decisions that depend on them.
Use this reference to work with Windmill resources from the command line, including scripts, flows, datatables, and workspace settings. It also covers listing jobs, inspecting details and logs, retrieving results, and rerunning or restarting executions when investigating failures.
Use this skill to write Python scripts for Windmill with a `main` entry point, typed parameters, and Windmill resources for credentials and configuration. It also guides local previews and metadata updates. The supplied guide is partial, so details beyond the provided portion are not covered.
Use this skill to shape modules with small interfaces and substantial behavior behind them. It helps you decide where a seam belongs, reduce complexity exposed to callers, and make code easier to test and maintain.
Clarify a project's domain terms by resolving conflicts, testing concepts against concrete edge cases, and checking stated behavior against code. Record agreed terminology and decisions in the project's CONTEXT.md glossary as the model changes.
Review a work session to identify slow steps, failures, missing information, and useful patterns. Then make concise, evidence-based updates to relevant documentation so confirmed lessons can help with future sessions.
Create TypeScript scripts for Windmill using Bun as the default runtime. The guidance covers script structure, resource parameters, Windmill client calls, preprocessors, and S3 operations, plus how to preview local changes and keep script metadata in sync.
Configure Windmill triggers that start scripts or flows when external events arrive. The guidance covers trigger file naming and email payloads, including extra address arguments and attachments stored in S3, so you can handle incoming messages in a runnable.
Write PostgreSQL scripts for Windmill with positional query parameters, typed inputs, and optional S3 file handling. The guidance also explains streaming large query results to S3, keeping script metadata current, previewing local edits, and distinguishing previews from deployed runs.
Use this skill to review pending changes, select only the relevant files for staging, and create a focused Git commit. It formats the single-line message with a Conventional Commits type such as feat, fix, or docs, and checks the resulting status.
Build Windmill flows with correctly structured modules, inputs, and data passed between steps. The available guide also covers local flow previews, deployment boundaries, loops, branching, and AI agent or decision modules; the supplied material is partial.
Write BigQuery SQL scripts for Windmill with named `@name` parameters, including typed inputs and S3 file inputs. Stream large query results to S3 in JSON, Parquet, or CSV, and get guidance on previewing local scripts and keeping generated metadata aligned.
Start a `/grilling` session to sharpen a plan or design through a persistent interview. This skill delegates the conversation flow to the grilling process, which explores decisions and their dependencies in successive rounds.
Open a Windmill flow, script, or app in its development page for visual inspection. The skill helps choose a direct browser URL or a localhost proxy, start the right development server, and hand its printed URL to a preview tool or the user.
Use this skill to write Bash scripts for Windmill, with positional parameters and output formatted for the script result. It guides local preview and metadata updates, and distinguishes testing local edits from running deployed scripts or publishing changes.
Write R scripts for Windmill with a required `main` function, typed inputs, resource access, and JSON-serializable results. The skill also explains how to preview local edits, keep generated metadata in sync, and distinguish testing from deployment.
Write Rust scripts for Windmill with the required main function, serializable return values, and dependency declarations. The guidance also shows how to handle async work by creating a Tokio runtime inside the synchronous entry point, and how to preview local scripts.
Write Go scripts for Windmill using its required package, entry function, inputs, and return format. The skill also guides local previews and keeping generated schemas, dependency locks, and content hashes in sync.
Use this skill when Rust SQL queries change and SQLx offline query data must be refreshed. It guides you through backing up the cache, generating entries safely, preserving enterprise query data, and checking both library and test targets.
Apply Windmill-specific patterns when building or changing Svelte UI in its frontend. Find and reuse existing components, follow brand and layout guidance, use the design system and Tailwind CSS, and verify changes in a browser with Playwright MCP.
Configure Windmill schedules to run scripts and flows automatically. The guide explains schedule file naming, Windmill’s six-field cron format including seconds, and CLI commands for listing, pulling, or explicitly pushing schedule changes.
Read and update Windmill workspace settings through the CLI or a synced settings.yaml file. The skill explains partial updates, dry runs, access limits, and how to preserve secrets while applying changes.
Build Windmill Raw Apps with the CLI and understand their files, frontend entry points, backend runnables, and data table settings. The guide also covers development migrations and how the app’s frontend calls server-side work.
Create data pipelines from independent scripts connected through shared data assets and trigger annotations. The guidance helps define inputs, outputs, and materialized tables, with DuckDB and DuckLake as the default for tabular pipeline steps.
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