Add a dataset (CSV, TSV, JSON, or GeoJSON) to an existing PortalJS portal. Appends an entry to datasets.json so the catalog and showcase render it automatically; routes the data by source (local file vs remote URL) — R2 via Git LFS by default, remote URLs by passthrough. Use when registering a new dataset in a…
Retrieve and cite from this machine-learning education corpus (923 docs — arXiv papers, course lectures, explainer articles). Use when the user asks an ML/deep-learning question, wants to learn a topic, asks for sources/papers/lectures on a concept, or wants a study path grounded in this repo.
Use for OpenCaseLaw autonomous maintenance loops, production health checks, scraper/completeness triage, safe deploy decisions, and Codex automation work in this repo. Do not use for ordinary feature work unless the task is about operational safety, corpus completeness, or maintenance automation.
Look up domain credibility scores using the CRED-1 open dataset. Use when checking if a news source or website is reliable, flagged as misinformation, or has credibility concerns.
Export Claude Code conversation history to Hugging Face as structured training data. Use when the user asks about exporting conversations, uploading to Hugging Face, configuring CodeClaw, reviewing PII/secrets in exports, or managing their dataset.
Export Claude Code and Codex conversation history to Hugging Face as structured training data. Use when the user asks about exporting conversations, uploading to Hugging Face, configuring codeclaw, reviewing PII/secrets in exports, or managing their dataset.
Use when the user needs deep data analysis (multi-round SQL queries, aggregation, trend comparison) or wants to persist data (Excel / CSV / API / databases) as a long-lived, cross-platform structured asset — typical scenarios include complex or repeated analysis, accessing the same data across multiple Agents /…
Use when the user needs deep data analysis (multi-round SQL queries, aggregation, trend comparison) or wants to persist data (Excel / CSV / API / databases) as a long-lived, cross-platform structured asset — typical scenarios include complex or repeated analysis, accessing the same data across multiple Agents /…
Use when the user needs deep data analysis (multi-round SQL queries, aggregation, trend comparison) or wants to persist data (Excel / CSV / API / databases) as a long-lived, cross-platform structured asset — typical scenarios include complex or repeated analysis, accessing the same data across multiple Agents /…
Plan, explain, build, run, monitor, validate, transfer, and audit reproducible embodied-model studies and batch episode collection. Use when a user wants to connect a local, SSH, or cloud GPU host; understand and compare a policy, VLA, world model, world-action model, or hybrid with a benchmark; discover and reuse…