Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
organize-ml-workspace
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
organize-ml-workspace
Best first install candidate based on install readiness and adoption.
Freshest repo
organize-ml-workspace
Most recent maintenance signal among this shortlist.
| Signal | organize-ml-workspace Decide where files live in an ML experimentation project: reusable code in `src/<pkg>/`, one `# %%` script per experiment in `experiments/`, design notes + index in `journal/`, reports in `reports/`, agent-only probes in `scratch/`. Owns the layout, the file-creation rules (one file per experiment, ask before editing), and the jupytext `# %%` script convention. Never imposes `data/` — the user owns that. TRIGGER — any of: - Starting a new ML project / scaffolding a workspace. - About to create the first experiment file in a project. - About to create `src/<pkg>/data.py` / `features.py` / `pipeline.py` / `evaluate.py` for the first time. - About to write a `.ipynb` for experimentation — redirect to a `# %%` script under `experiments/`. - User asks where something should live, how to organize the project, or how to set up the workspace. - About to add a new experiment iteration — decide new file vs edit existing (ask the user). SKIP when: the file is clearly part of an already-populated |
|---|---|
| Quality | 67/100 Promising |
| Decision verdict | 66/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 119 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 17, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for |
Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
organize-ml-workspace
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
organize-ml-workspace
Best first install candidate based on install readiness and adoption.
Freshest repo
organize-ml-workspace
Most recent maintenance signal among this shortlist.
| Signal | organize-ml-workspace Decide where files live in an ML experimentation project: reusable code in `src/<pkg>/`, one `# %%` script per experiment in `experiments/`, design notes + index in `journal/`, reports in `reports/`, agent-only probes in `scratch/`. Owns the layout, the file-creation rules (one file per experiment, ask before editing), and the jupytext `# %%` script convention. Never imposes `data/` — the user owns that. TRIGGER — any of: - Starting a new ML project / scaffolding a workspace. - About to create the first experiment file in a project. - About to create `src/<pkg>/data.py` / `features.py` / `pipeline.py` / `evaluate.py` for the first time. - About to write a `.ipynb` for experimentation — redirect to a `# %%` script under `experiments/`. - User asks where something should live, how to organize the project, or how to set up the workspace. - About to add a new experiment iteration — decide new file vs edit existing (ask the user). SKIP when: the file is clearly part of an already-populated |
|---|---|
| Quality | 67/100 Promising |
| Decision verdict | 66/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 119 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 17, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for |
| Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add probabl-ai/skills --skill organize-ml-workspace |
| Sports analytics workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add probabl-ai/skills --skill organize-ml-workspace |