Windmill Labs, Inc

Write MySQL queries as Windmill scripts, with named `?` parameters and options for reading S3 files or streaming large results to S3. The guidance also covers local previews and keeping script metadata in sync.

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• Writing a parameterized MySQL query
• Reading uploaded S3 data in a query
• Streaming large query results to S3

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.

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• Inspecting a failed job and its logs
• Reviewing recent runs and retrieving job results
• Managing scripts and flows from the command line

Create DuckDB queries for Windmill using named SQL parameters, Ducklake attachments, external database resources, and S3 files. It covers reading CSV, Parquet, and JSON data, accepting S3 object inputs, and writing query results to S3.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a parameterized DuckDB query in Windmill
• Querying data in Ducklake
• Reading CSV, Parquet, or JSON files from S3

Review a codebase for architectural friction and identify modules that could become easier to test and navigate through focused refactoring. The skill presents candidates with before-and-after visuals in an HTML report, then guides discussion of a selected option.

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• Finding architectural friction in a codebase
• Reviewing refactoring candidates visually
• Comparing module structure before and after a change

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Scaffolding a Windmill Raw App
• Choosing a React or Svelte setup
• Connecting frontend code to backend runnables

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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• Building a scheduled data ingestion pipeline
• Connecting transformation steps through shared tables
• Materializing pipeline outputs in DuckLake

Use this guide to add or change a Windmill native trigger integration across its backend and frontend. It explains the service lifecycle, OAuth connections, database and UI updates, and background maintenance needed to connect external webhook or push events to scripts and flows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a new external service trigger to Windmill
• Updating an existing trigger integration across backend and UI
• Planning OAuth connection and webhook handling for a service

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Route incoming emails to a script or flow
• Set up trigger configuration files
• Handle email attachments and extra address arguments

Write TypeScript scripts for Windmill when they depend on Deno features, such as the Deno standard library or imports from deno.land. The guidance covers script structure, resources, Windmill client usage, and local preview and metadata workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building a Windmill script that imports Deno standard library modules
• Using a deno.land URL import with no npm equivalent
• Previewing a local Deno TypeScript script in Windmill

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a module interface
• Finding places to simplify a module
• Choosing where behavior should vary

Run the same Codex review used by the GitHub Actions CI workflow against a branch before pushing. It includes committed and uncommitted changes, then reports prioritized findings with file and line references so you can inspect issues before opening a pull request.

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• Reviewing branch changes before pushing
• Checking committed and uncommitted work
• Finding issues before opening a pull request

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.

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• Stress-testing a project plan
• Clarifying decisions before starting a project
• Exploring options that depend on earlier choices

Manage schema changes to Windmill data tables through versioned SQL migrations, including applying and rolling them back. The guide also explains role-based access, migration safety, and how changes affect workspaces, apps, and scripts.

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• Changing a data table schema safely
• Writing or applying SQL migrations
• Rolling back a recent migration

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.

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• Committing a new feature
• Recording a bug fix
• Committing documentation changes

Create a draft GitHub pull request with a clear title and change summary, then coordinate CI review rounds and address findings. The skill guides when a PR can become ready for review, based on reviewer verdicts and the scope of the changes.

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• Opening a draft pull request for a branch
• Summarizing commits and changes for reviewers
• Addressing CI review feedback before marking a PR ready

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.

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• Review the current workspace settings
• Apply selected settings from a YAML or JSON file
• Sync settings.yaml with a Windmill workspace

Write Windmill scripts for Microsoft SQL Server with named query parameters, optional S3 file input, and streaming results to S3. The guide also explains how to preview local edits and keep script metadata in sync.

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• Writing a parameterized SQL Server query
• Reading JSON or tabular data from an S3 file
• Streaming a large query result to S3

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.

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• Creating a Windmill flow from a described process
• Structuring flow modules and inputs
• Previewing a local flow or individual step

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write BigQuery SQL with named parameters
• Use an S3 file as query input
• Stream large query results to S3

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write parameterized PostgreSQL queries in Windmill
• Read CSV, JSON, or Parquet records from an S3 input
• Stream large query results to S3

Write PHP scripts for Windmill with a `main` function, typed resource parameters, and declared library dependencies. The guidance also covers previewing local edits and keeping generated input schemas, dependency locks, and content hashes aligned with the script.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing a PHP script for Windmill
• Receiving database credentials through a resource parameter
• Declaring PHP library dependencies

Create and run black-box benchmarks for Windmill AI generation modes such as flows, apps, scripts, CLI, and global requests. Each case exercises the production path, checks hard requirements, and uses an LLM judge to assess user-facing behavior before and after changes.

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• Adding a benchmark case for an AI mode
• Comparing AI chat behavior before and after a change
• Checking copilot changes with realistic requests

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.

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• Recording a confirmed codebase pattern in project docs
• Adding a missing validation check discovered during a session
• Correcting documentation that led to a failed or repeated step

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Agree on a precise meaning for an overloaded term
• Resolve conflicts with an existing project glossary
• Test domain boundaries with concrete edge cases