mlflow
Skill1.2k starsChanged 7 months agoLicence not identifiedView on GitHub
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
- Installs packages
5 other projects use a version of this.
Trending
More talk lately.thin dataabout the whole repository
Most recently taken up by
- thistleknot/skillstheir own version, first seen Nov 8, 2026
- MarieLynneBlock/arcanum-artifextheir own version, first seen Nov 1, 2026
- G1Joshi/Agent-Skillstheir own version, first seen Oct 13, 2026
- mhiskall282/Securing-the-Digital-Mine-UNESCO-Projectword for word, first seen Sep 20, 2026
- Clay-HHK/claude-skillsword for word, first seen Mar 5, 2026
Who's talking about OpenLAIR/dr-claw
- sudosubin/agents.nix“agent-skills.github.openlair.dr-claw: init at 2026.3.4”GitHub · Oct 3, 2026
- paulwelch/paulwelch.github.io“[Idea] Beyond the CLI Agent: Architecting State and Auditability in AI Engineering Workspaces”GitHub · Sep 8, 2026
- paulwelch/paulwelch.github.io“[Idea] Beyond Autonomous CLI Loops: Architecture of Auditable Agent Orchestration”GitHub · Sep 8, 2026
- paulwelch/paulwelch.github.io“[Idea] Beyond Autonomous CLI Agents: Building Auditable Workspaces with Dr. Claw”GitHub · Sep 8, 2026
- paulwelch/paulwelch.github.io“[Idea] Beyond the CLI: Orchestrating Auditable Agent Workspaces with State Objects”GitHub · Sep 8, 2026
The biggest 5 of 8 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 8
Talked about on GitHub (8 times).
On GitHub · 8
- Oct 3, 2026agent-skills.github.openlair.dr-claw: init at 2026.3.4 — sudosubin/agents.nix0 reactions
- Sep 8, 2026[Idea] Beyond the CLI Agent: Architecting State and Auditability in AI Engineering Workspaces — paulwelch/paulwelch.github.io0 reactions
- Sep 8, 2026[Idea] Beyond Autonomous CLI Loops: Architecture of Auditable Agent Orchestration — paulwelch/paulwelch.github.io0 reactions
- Sep 8, 2026[Idea] Beyond Autonomous CLI Agents: Building Auditable Workspaces with Dr. Claw — paulwelch/paulwelch.github.io0 reactions
- Sep 8, 2026[Idea] Beyond the CLI: Orchestrating Auditable Agent Workspaces with State Objects — paulwelch/paulwelch.github.io0 reactions
3 more on GitHub
- Sep 8, 2026[Idea] Beyond Autonomous CLI Scripts: Architecture Patterns for Auditable Agent Workspaces — paulwelch/paulwelch.github.io0 reactions
- Aug 10, 2026Add Dr. Claw research workspace — ai4s-research/awesome-ai-for-science0 reactions · 1 comment
- Apr 27, 2026docs: add acknowledgment for skills adapted from OpenLAIR/dr-claw — Boom5426/Nature-Paper-Skills0 reactions
Other versions5 projects use a version of this.
Word for word · 2
- Clay-HHK/claude-skills★ 1100% same
- mhiskall282/Securing-the-Digital-Mine-UNESCO-Project★ 1100% same
Edited · 0
None found.
Wrote their own version · 3
- G1Joshi/Agent-Skills★ 15same name
- MarieLynneBlock/arcanum-artifex★ 4same name
- thistleknot/skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository121 other files it gives its agents.
- server/AGENTS.mdAGENTS.md
- drclawSkill
- academic-researcherSkill
- aris-ablation-plannerSkill
- aris-arxivSkill
- aris-auto-paper-improvement-loopSkill
- aris-auto-review-loopSkill
- aris-compute-guardSkill
- aris-dse-loopSkill
- aris-experiment-bridgeSkill
- aris-experiment-planSkill
- aris-feishu-notifySkill
- aris-formula-derivationSkill
- aris-idea-creatorSkill
- aris-idea-discoverySkill
- aris-infraSkill
- aris-mermaid-diagramSkill
- aris-meta-applySkill
- aris-meta-optimizeSkill
- aris-monitor-experimentSkill
- aris-novelty-checkSkill
- aris-paper-compileSkill
- aris-paper-figureSkill
- aris-paper-illustrationSkill
- aris-paper-planSkill
- aris-paper-posterSkill
- aris-paper-slidesSkill
- aris-paper-writeSkill
- aris-paper-writingSkill
- aris-proof-writerSkill
- aris-rebuttalSkill
- aris-research-litSkill
- aris-research-pipelineSkill
- aris-research-refine-pipelineSkill
- aris-research-refineSkill
- aris-research-reviewSkill
- aris-research-wikiSkill
- aris-result-to-claimSkill
- aris-run-experimentSkill
- aris-semantic-scholarSkill
- aris-serverless-modalSkill
- aris-training-checkSkill
- aris-vast-gpuSkill
- autoresearchSkill
- biorxiv-databaseSkill
- nemo-curatorSkill
- ray-dataSkill
- dataset-discoverySkill
- huggingface-accelerateSkill
- pytorch-fsdp2Skill
- ds-analysis-campaignSkill
- ds-baselineSkill
- ds-experimentSkill
- ds-figure-polishSkill
- ds-finalizeSkill
- ds-full-pipelineSkill
- ds-ideaSkill
- ds-intake-auditSkill
- ds-optimizeSkill
- ds-rebuttalSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.