astropy

Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS), and astronomical data analysis. Use when tasks involve coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions, or astronomical data processing.

Quality

85%

Does it follow best practices?

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Passed

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Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-structured with executable, copy-paste-ready examples and excellent progressive disclosure to seven real reference files. Its main weakness is conciseness: capability lists are repeated across the Overview, When-to-Use, and Core Capabilities sections, inflating the token budget for an overview document.

Suggestions

Consolidate the Overview and 'When to Use This Skill' sections to eliminate the repeated enumeration of the same module capabilities, keeping the trigger framing once.

Trim the per-module intro sentences in Core Capabilities since the bulleted 'Key operations' already convey the same content and the reference file carries the detail.

If any FITS or table write/modify workflow is intended, add an explicit validate-before-proceed checkpoint so workflow_clarity can reach 5 without the destructive-operation cap.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient — Quick Start and the workflow recipes are lean and executable — but the module capability list is effectively repeated three times (Overview, 'When to Use This Skill', and the Core Capabilities intros), and the file runs ~321 lines for what is essentially an overview pointing to seven reference files, fitting anchor-3 'mostly efficient but could be tightened'.	3 / 5
Actionability	Quick Start plus four Common Workflows (coordinate conversion, FITS reading, cosmological distances, cross-matching) and concrete install commands are fully executable, copy-paste ready, and cover the common cases, matching the anchor-5 example.	5 / 5
Workflow Clarity	The Common Workflows are clear code recipes with concrete inputs and outputs; the destructive/batch validation cap is not triggered because the shown workflows are read-only analysis, but no explicit validation step is demonstrated for any write operation, leaving it just below anchor-5.	4 / 5
Progressive Disclosure	SKILL.md is a clear overview with well-signaled one-level-deep references ('See: references/units.md for...'), all seven referenced files exist, and a final Reference Files section lists them, matching anchor-5 'clear overview with well-signaled one-level-deep references; easy navigation'.	5 / 5
	Total	17 / 20 Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong: it concisely states a distinct astronomy niche, lists concrete capabilities, and provides an explicit 'Use when' clause with natural trigger phrases. Its only gap is the absence of explicit file extensions, which keeps trigger-term quality at 4 rather than 5.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete capabilities and actions — 'celestial coordinates, physical units, FITS files, cosmological calculations, time systems, tables, world coordinate systems (WCS)' and 'coordinate transformations, unit conversions, FITS file manipulation, cosmological distance calculations, time scale conversions' — giving comprehensive coverage, matching the anchor-5 example.	5 / 5
Completeness	Explicitly answers both what ('Comprehensive Python library for astronomy and astrophysics...') and when ('This skill should be used when... Use when tasks involve...') with concrete trigger phrases, matching the anchor-5 example exactly.	5 / 5
Trigger Term Quality	Strong natural terms an astronomer would say ('FITS files', 'coordinate transformations', 'unit conversions', 'cosmological distance calculations') plus the WCS synonym, but no explicit file extensions like '.fits', so it falls just short of the anchor-5 comprehensive-with-extensions bar and fits anchor-4 'good keyword coverage; a few natural terms missing'.	4 / 5
Distinctiveness Conflict Risk	A clear astronomy/astrophysics niche with highly specific triggers (FITS, WCS, cosmological distances, celestial coordinates) that would not fire for unrelated skills, giving minimal conflict risk per the anchor-5 description.	5 / 5
	Total	19 / 20 Passed

Validation

93%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning

	Total	15 / 16 Passed

Repository: foryourhealth111-pixel/Vibe-Skills
Path: bundled/skills/astropy/SKILL.md
Commit: d5ae560

Reviewed: 1 day ago

Table of Contents

Discovery Implementation Validation

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