FAQ
How do I install mle-workflow?
The source record exposes this install command: npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/mle-workflow". Inspect the command and pinned source before running it.
affaan-m/ECC
mle-workflow
Use it for operations tasks; the detail page covers purpose, installation, and practical steps.
48Collecting
See source evidenceView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/mle-workflow"Source profileDocumentationCatalog only
Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Limited to facts supported by the pinned source
What the pinned source establishes about mle-workflow
このファイルの翻訳は実装中です。英語版は元のスキルファイルを参照してください。
npx skills add https://github.com/affaan-m/ECC --skill "docs/ja-JP/skills/mle-workflow"The pinned source contains about 8 English words and 0 usable sections. That evidence supports a source profile, not a complete guide.
8 source words · 0 usable sections
Choose a different workflow
When another Skill is the better fit
mle-workflow
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detaildesign-review
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detaildask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.
Open source detailRepository stars
234,327
Repository forks
35,711
Quality
48/100
Source repository last pushed
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Documentation9/30
Specificity7/25
Maintenance20/20
Trust signals12/25
Compare before choosing
Related Agent Skills and source variants
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
mle-workflow by affaan-m
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.
design-review by event4u-app
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
dask by k-dense-ai
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
medchem by k-dense-ai
Medicinal chemistry filters for compound triage. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.
neurokit2 by k-dense-ai
Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.
View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 1 min
mle-workflow - 日本語翻訳進行中
このファイルの翻訳は実装中です。英語版は元のスキルファイルを参照してください。
詳細は：D:/tmp/everything-claude-code/skills/mle-workflow/SKILL.md
- Source repo
- affaan-m/ECC
- Skill path
- docs/ja-JP/skills/mle-workflow/SKILL.md
- Commit SHA
- 4e973d3eaf92
- Repository license
- MIT
- Data collected