data-product-thinking SKILL.md skillA
data-product-thinking from hollandkevint/data-product-operator is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add hollandkevint/data-product-operator/data-product-thinking@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- hollandkevint/data-product-operator
- Path
skills/data-product-thinking/SKILL.md- Versions recorded
- 3
- Latest version
- v0.1.0, committed Nov 3, 2026
- First version recorded
- Feb 19, 2026
- Size
- 3,463 bytes
- Repository stars
- 5
- License
- MIT
First-principles reasoning for data product decisions. Frames problems as data products, not dashboards or pipelines. Use when evaluating data product strategy, making build-vs-buy decisions, scoping data product features, assessing product-market fit for data offerings, or when someone asks "should we build this data product?".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
## Core Principles Apply these when making data product decisions: 1. **Trust over features.** A single data quality incident can destroy months of trust. One bad number in a board deck costs more than a delayed feature. Protect data accuracy before adding capabilities. 2. **Outcomes over outputs.** "47 dashboards and no answers" is the failure mode. Define what decisions the data product enables before defining what data it needs. Measure decisions enabled, revenue generated, time saved. Not models deployed or dashboards built. 3. **Teams over tools.** Technology is 20% of data product success. The other 80% is people, process, and product thinking. Don't lead with tool selection. 4. **Uncertainty over certainty.** Fix the time, vary the scope. Six-week cycles with variable scope beat two-week sprints with fixed scope for data products, where discovery is continuous. 5. **Ownership over handoffs.** Every handoff loses context. The team that discovers the problem should own it through delivery. ## Five-Risk Evaluation Model Before committing to any data product bet, evaluate all five risks: …
Read the whole file at its exact version.
How to install
mdr add hollandkevint/data-product-operator/data-product-thinking@sha256:925576a380a8c5ecThe line at the top of this page pins the label v0.1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_cclbmpno5sn3xm5y)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Feb 19, 2026 and Nov 3, 2026, about one every 128 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-11-03 | 2939ae2 | 3,463 B | A | view · diff |
| v0.1.0 | 2026-02-20 | b2b7f45 | 3,487 B | A | view · diff |
| v0.1.0 | 2026-02-19 | 7457173 | 3,003 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 (3463 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
hollandkevint/data-product-operator · 5 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cclbmpno5sn3xm5y GET https://markdownregistry.com/api/v1/resolve?ref=hollandkevint/data-product-operator/data-product-thinking GET https://markdownregistry.com/api/v1/blob/925576a380a8c5ec32555a2f6d80b8599f06b49d859f4f8229065a0d6faa7ce4
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.