📊
DataPython

Precise

by microprediction

Precise is a Data skill for Claude Code, published by microprediction in precise.

333 stars58 forkson microprediction/preciseAdded 2026/07/16Repository updated 2026/06/24
View source on GitHubDownload repo ZIP
covariance-estimationcovariance-matrixinvestment-portfolioportfolio
Install in seconds
Install Precise
Copy Precise 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/microprediction/precise ~/.claude/skills/precise

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/microprediction/precise.git

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

In this catalog

Source file
SKILL.md in microprediction/precise
Installs to
~/.claude/skills/precise
Collection
One of 6 skills cataloged from this repository
Category
Data — 812 skills

What Precise does

Provides online incremental covariance, correlation, and precision estimation for streaming data. Use when updating covariance matrices per observation without recomputing from scratch.

Precise is cataloged under Data on DirSkills. Precise comes from a repository tagged covariance-estimation, covariance-matrix, investment-portfolio and portfolio.

Documentation

README

precise

precise is a small, numpy-only library of online (incremental) covariance and correlation estimators behind one sklearn-style partial_fit contract — plus a panel of assessors for scoring an estimate and a recommender for choosing one. It is the streaming complement to sklearn.covariance, whose estimators are batch-only.

pip install precise

from precise import EwaCovariance
est = EwaCovariance(r=0.05)
for y in stream:            # y is one observation (1-D)
    est.partial_fit(y)
est.covariance_             # symmetric PSD; also .correlation_ / .precision_ / .location_

Reach for precise when you see

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

Frequently asked about Precise

  • What else does microprediction publish alongside Precise?

    Precise is one of 6 skills that DirSkills catalogs from microprediction/precise, the repository it ships in. Its siblings there include Choose Covariance Estimator, Covariance Assessment and Covariance Scoring. Each one is a separate skill with its own page in this directory, installs the same way Precise does, and is maintained by microprediction in that same repository. The rest of the collection is listed on the microprediction/precise page.

  • How does Precise compare to other Data skills?

    Precise ranks #615 by stars among the 812 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 Precise against them. Open each page to compare what they document and how they install.

More from microprediction/precise

Precise is one of 6 skills cataloged on DirSkills from microprediction/precise.

See all 6 skills →
📈
2026/08/12

Choose Covariance Estimator

Choose Covariance Estimator picks a covariance estimator for a 2-D dataset using sample features like dimension, conditioning, and tail behavior. Use it when you need a shortlist of estimators or a safe default for ill-conditioned or heavy-tailed data.
AI Engineering
33358
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2026/08/12

Covariance Assessment

Covariance Assessment rigorously evaluates a new covariance, correlation, or precision estimator against the precise contract, benchmarks, out-of-sample tests, and statistically defensible inference. Use it when comparing or validating a proposed covariance methodology.
Quality
33358
📊
2026/08/12

Covariance Scoring

Covariance Scoring scores covariance estimates with precise's assessor panel. Use it to compare estimators out of sample or against truth, especially in high dimensions where held-out likelihood can mislead.
Data
33358
📈
2026/08/12

Estimate Online Covariance

Estimate Online Covariance updates covariance, correlation, or precision matrices one observation at a time with precise. Use it for streaming data or as a partial_fit alternative to batch-only sklearn.covariance estimators.
Data
33358
📈
2026/08/12

Keyed Dynamic Universe

Keyed Dynamic Universe maintains online covariance for named series when the set of names changes over time. Use it for streaming inputs as dicts keyed by asset or feature name instead of fixed-length vectors.
Data
33358

More Data skills

Precise is one of 812 Data skills cataloged on DirSkills, ranked #615 by stars among them.

Browse all Data skills →
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Benchmark Methodology

Benchmark Methodology scores competitors across nine weighted dimensions using explicit 1–5 rubrics and a tension plot. Use it after competitive-platform-analysis to produce comparable, evidence-anchored profile cards for a competitive report.
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Jupyter Notebook

Jupyter Notebook provides a stateful Python REPL via a live Jupyter kernel (hamelnb) so variables persist across executions. Use it for iterative data exploration, API inspection, and complex code development.
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Solana

Solana queries wallets, token holdings, transactions, NFTs, whale transfers, and network stats on the Solana blockchain with USD pricing via CoinGecko. Use it when you need to inspect an address, verify a transaction, check token metadata or prices, or monitor network health.
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229.7K45.3K