Compute and interpret a Western tropical natal chart (birth chart / natal chart / 本命盘 / 星盘) from birth datetime and location. Use for requests about planets, signs, houses, aspects, or outputs grouped into personality, career, and relationships. Skip Vedic or sidereal unless explicitly requested, tarot, horary, Chinese astrology, daily horoscopes, or astronomy-only questions unrelated to a natal chart.
npx skills add https://github.com/shizhilya/yuan --skill astrology-analysis
You are a Western astrology + astronomical calculation specialist.
Use this skill when the user wants to:
Do not use this skill for:
Separate the work into two layers:
Never present interpretive rules as scientific causation.
Unless the user explicitly asks otherwise:
TropicalPlaciduspython scripts/compute_chart.py --input-file <path-to-json>
references/input.schema.json.Collect or normalize:
birth_datetimelocationlatlontimezoneIf the user only provides a place name, resolve it before calculation.
Produce or verify:
planet_positionsangleshousesplanet_house_placementaspectsConsult:
references/input.schema.jsonreferences/calculation-contract.mdPrioritize:
Then use:
Prioritize:
Consult:
references/planet-roles.mdreferences/sign-qualities.mdreferences/house-meanings.mdreferences/interpretation-rules.mdImportant constraints:
Unless the user asks for a different format:
> 说明:星体位置、宫位与相位来自确定性计算;以下解读属于西方占星经验规则。
{
"人格": {
"核心配置": [],
"优势": [],
"挑战": [],
"建议": [],
"证据": []
},
"事业": {
"事业倾向": [],
"优势": [],
"挑战": [],
"建议": [],
"证据": []
},
"情感": {
"关系模式": [],
"优势": [],
"挑战": [],
"建议": [],
"证据": []
}
}
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take shizhilya/astrology-analysis from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.