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clio-data

v1.0.0

by iowarp · author: IoWarp Team

clio-data is an Agent Plugin published by iowarp. It packages 2 skills. We fetched the plugin.json from GitHub on 2026-11-07 and checked it against the official Agent Plugins 1.0.0 schema.

The clio-data agent's plugin: its mission, assess-data-quality (what a variable states, checks, comparisons, visual checks) and convert-scientific-data (the HDF5/ADIOS2 to Parquet dtype map, skip-or-ask rules, and a bundled converter that reads back and verifies rows, nulls, NaNs, dtypes and per-column checksums).

Skills
2
MCP servers
0
Stars
0
License
BSD-3-Clause
Repo created
2026-05-28
Last pushed
2026-11-07
Publisher type
Organization
Version
1.0.0

Links

Skills · 2

  • assess-data-quality
  • convert-scientific-data

Category

Other. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.

Keywords

hdf5 · adios2 · parquet · conversion · data-quality

Related by publisher and keywords

  • adiosiowarp

    Inspect ADIOS2 BP4 and BP5 output through clio-kit's adios MCP server (list, variables, steps, attributes, one variable at one step), with the adios2 skill: directory layout, steps and variables, shape/start/count, global and local arrays, blocks, attributes, the Python FileReader and Stream APIs, bpls, engines and operators.

  • General habits for unfamiliar datasets: read the self-description, inventory and audit tables with bundled scripts (sentinels, empty and near-duplicate columns, flags against data, join keys, declared against actual counts), keep an experiment card in the workspace, audit in a child agent, and state evidence plainly.

  • hdf5iowarp

    Open and inspect HDF5 files through clio-kit's hdf5 MCP server, with the HDF5 team's `hdf5` skill: how to use the tools with bounded reads, and reference guides on layout, chunking, filters, cloud and parallel access, drivers and clio-core ingest.

  • parquetiowarp

    Parquet through clio-kit's parquet MCP server (single-file summaries, slices, previews and aggregates) and the parquet skill: footer, row groups and statistics, physical and logical types, hive partitioning, bounded scans with pyarrow or DuckDB, and write options.

  • Decides the engineering approach for an intent in an interactive session: investigates, proposes two or three genuinely different approaches with trade-offs, recommends, lets the user decide, and writes the decision doc. Not a task-by-task plan; use sprint-plan. Not a multi-perspective debate; use design-council. Not product intent; use product-intent. Not a typed implementation handoff; use tech-spec.

  • Searches arXiv, summarizes or compares papers, and builds a compact literature survey as citation-ready, source-linked paper cards. Prefer the Researcher shadow agent for noisy multi-paper retrieval.

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