Astronomy Published Table Chains

by tangxiangru

Astronomy Published Table Chains is a Data skill for Claude Code, published by tangxiangru in AutoR.

804 stars25 forkson tangxiangru/AutoRAdded 2026/08/22Repository updated 2026/08/22

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agentaiai-scientistauto-researchclaudeclaude-codecliharnessllmopenaipaperscience

Install in seconds

Install Astronomy Published Table Chains

Copy Astronomy Published Table Chains into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/tangxiangru/AutoR/tree/main/src/skills/astronomy-sample-the-published-table-into-chains ~/.claude/skills/astronomy-sample-the-published-table-into-chains

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/tangxiangru/AutoR.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: src/skills/astronomy-sample-the-published-table-into-chains/SKILL.md in tangxiangru/AutoR
Installs to: ~/.claude/skills/astronomy-sample-the-published-table-into-chains
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Astronomy Published Table Chains does

Astronomy Published Table Chains rebuilds a published table of means and 1-sigma errors as synthetic chains for comparison plots. Use it when a paper releases only summarized posteriors and you need GetDist-compatible samples for each model.

Astronomy Published Table Chains is cataloged under Data on DirSkills. Astronomy Published Table Chains comes from a repository tagged agent, ai, ai-scientist, auto-research and claude.

Documentation

README

Excerpt

A published mean and sigma is a posterior handed to you, not a number told to you

A table of parameter: mean, 1-sigma for each of several models is a posterior in compressed form. It was produced by a sampler you cannot re-run — the likelihood stack, the emulator and the chains are usually not public — and the table is the only form of that posterior that was released. So rebuild the ensemble it specifies, early, before your own likelihood exists. It costs a page of code, it introduces no assumption you do not already make when you quote the table, and it is the only form in which the source's constraint can be drawn on the same axes as anything else.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Astronomy Published Table Chains

What else does tangxiangru publish alongside Astronomy Published Table Chains?
Astronomy Published Table Chains is one of 25 skills that DirSkills catalogs from tangxiangru/AutoR, the repository it ships in. Its siblings there include A Deliverable Is Not an Instruction, A Value You Did Not Measure Still Has A Source and Answer The Why, Not Only The What. Each one is a separate skill with its own page in this directory, installs the same way Astronomy Published Table Chains does, and is maintained by tangxiangru in that same repository. The rest of the collection is listed on the tangxiangru/AutoR page.
How does Astronomy Published Table Chains compare to other Data skills?
Astronomy Published Table Chains ranks #510 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Astronomy Published Table Chains against them. Open each page to compare what they document and how they install.