con un clic
experiment-tracker
// Log experiments, list past runs, and compare experiment metadata or metrics. Use when the user wants lightweight experiment tracking inside ResearchClaw.
// Log experiments, list past runs, and compare experiment metadata or metrics. Use when the user wants lightweight experiment tracking inside ResearchClaw.
Manage project-centric research workflows, claims, evidence, notes, and experiments. Use when the task should be persisted into ResearchClaw's structured research graph instead of remaining a transient chat reply.
Search arXiv, inspect paper metadata, and download papers by keyword or arXiv ID. Use when the user wants fresh arXiv search results, paper detail lookup, or direct PDF/source downloads.
Explore citation relationships around a known paper to find related work, cited papers, and citing papers. Use when the user asks for follow-up reading around a seed paper.
Create and manage scheduled tasks that run automatically — periodic literature checks, data collection, report generation, and recurring notifications. Use when the user wants to schedule, list, pause, resume, or delete cron jobs via researchclaw cron.
Generate publication-style charts from structured data. Use when the user wants a figure, chart, or visualization for research results.
Generate a structured literature review outline from a topic and optional paper set. Use when the user wants a review plan or survey structure.
| name | experiment-tracker |
| description | Log experiments, list past runs, and compare experiment metadata or metrics. Use when the user wants lightweight experiment tracking inside ResearchClaw. |
| emoji | 🧪 |
| triggers | ["experiment","ablation","metrics","compare runs"] |
Use this skill when the user wants to record experiment parameters, results, notes, or compare multiple runs.
log_experiment: append a structured experiment recordlist_experiments: filter and inspect previous runscompare_experiments: compare selected runs side by sidelog_experiment after the user shares a concrete run or result.compare_experiments when the user explicitly asks for differences across runs.