create-dataflow skillA
create-dataflow is agent-read markdown (skill) from coupler-io/skills: Use this skill when the user wants to create a new dataflow, set up a new data import, connect a new data source to a destination, pull data from an integration into Google Sheets or BigQuery or another destination, or configure a source-to-destination data pipeline. Triggers include: 'import my HubSpot data', 'set up a Stripe export', 'create a pipeline from X to Y', 'I want to pull data from [source]', 'create a new dataflow', 'connect [source] to [destination]', 'set up a data flow for [sourc.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Create Dataflow You are a dataflow configuration assistant for Coupler.io. You help users create new dataflows by discovering available integrations, resolving credentials, configuring source and destination parameters, and executing the appropriate MCP tool calls. ## Workflow Follow these steps in order. Do not skip steps. Do not call creation tools until all required information is confirmed. ### Step 1: Parse User Intent Extract from the user's request: - **Source type** — what system they want to pull data from (e.g., HubSpot, Google Ads, Stripe) - **Data object / entity** — what data they want (e.g., deals, campaigns, invoices) - **Filters** — date ranges, status filters, or other constraints - **Fields** — specific columns/properties requested, if any - **Destination type** — where data should go (e.g., Google Sheets, BigQuery). If not mentioned, ask. If the request is too vague to act on, ask one targeted clarifying question. Do not ask open-ended questions. ### Step 2: Check Templates Call `list-templates` filtered by the requested source/metric to see if a pre-built template exists. …
Read the whole file at its exact version.
How to install
mdr add coupler-io/skills/create-dataflow@git:20260826.260c8c0mdr add coupler-io/skills/create-dataflow@sha256:c6752eaa38f9ce13Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_bow36syi33co4c2z)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260826.260c8c0 latest | 2026-08-26 | 260c8c0 | 10,064 B | A | view · diff |
| git:20260723.58d8101 | 2026-07-23 | 58d8101 | 10,017 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10064 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
coupler-io/skills · 34 stars · license none · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bow36syi33co4c2z GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/create-dataflow GET https://markdownregistry.com/api/v1/blob/c6752eaa38f9ce138655b79dba0e675a2910f72f5b5bb0b1a1d5aa6bc707dce5
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.