ml-project-lifecycle SKILL.md skillA
ml-project-lifecycle from fabiandistler/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fabiandistler/agents/ml-project-lifecycle@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fabiandistler/agents
- Path
skills/ml-project-lifecycle/SKILL.md- Versions recorded
- 5
- Latest version
- v1.0, committed Oct 23, 2026
- First version recorded
- Sep 28, 2026
- Size
- 10,706 bytes
- Repository stars
- 2
- License
- none declared
Guides a classical ML project — framing, baselines, model choice, missing data, deployment, retraining. Use when training a model on your own data, not when building an LLM app.
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
# ML Project Lifecycle Use this skill as a gate to pass through, not a menu to skim: framing the problem, choosing the model, and shipping it safely. ## When to use - Training a model on your own tabular, image, text, or time-series data: scoping the project, picking a model family, handling missing values, or deciding whether it is good enough to ship and when to retrain. - Classical ML only — for prompting, RAG, agents, or evals over a foundation model, read `members/llm-application-engineering/SKILL.md` via the `ai-ml` router instead. ## Part A — Framing: get the problem right before touching a model ### Business-objectives-first At project framing and model selection, connect the work to an observable business outcome. Answer three questions: 1. Which business problem does this decision address? 2. Which business metric does it move? 3. How will the connection between the two be measured? Use the agreed objective to guide feature engineering and evaluation; revisit scope if a change has no plausible path to the business metric. …
Read the whole file at its exact version.
How to install
mdr add fabiandistler/agents/ml-project-lifecycle@sha256:ac84d639f0b06efaThe line at the top of this page pins the label v1.0, 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_knamh27ubm63eph6)
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Versions
The registry has recorded 5 versions of this file, between Sep 28, 2026 and Oct 23, 2026, about one every 6 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-10-23 | 701be5c | 10,706 B | A | view · diff |
| v1.0 | 2026-10-21 | cb6fbe4 | 11,271 B | A | view · diff |
| v1.0 | 2026-10-19 | b3c7d90 | 11,226 B | A | view · diff |
| v1.0 | 2026-09-28 | ac28853 | 11,174 B | A | view · diff |
| v1.0 | 2026-09-28 | b060bfd | 11,138 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 (10706 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
fabiandistler/agents · 2 stars · license none declared · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_knamh27ubm63eph6 GET https://markdownregistry.com/api/v1/resolve?ref=fabiandistler/agents/ml-project-lifecycle GET https://markdownregistry.com/api/v1/blob/ac84d639f0b06efa9587b36bccdb820bbb2ec939a923140949bb0974ae964a41
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.