GitHub organization

Agent skills by pymc-labs

Every agent skill pymc-labs publishes on GitHub, ranked by score, with the repositories they come from.
skills
24
repositories
4

Repositories by pymc-labs

Skills by pymc-labs, ranked

Ranked by score. Sort bymost stars,trending,newest,recently updated

Skills by pymc-labs, ranked
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
1

Load built-in CausalPy example datasets for demos, tutorials, tests, and quick causal-analysis prototypes.

pymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0yesterday
2

Generate documentation sites for Python packages with Great Docs.

pymc-labs/pathmc132—~2.7kAutomated safety check: PassMIT4 days ago
3

Guide for creating effective skills for Claude Code agents. An agent skill from pymc-labs/decision-hub.

pymc-labs/decision-hub104—~3.1kAutomated safety check: NotesMIT1 mo ago
4

Review CausalPy pull requests end-to-end by classifying PR type, checking branch freshness, mergeability, remote CI, correctness, security, tests, docs, and maintainer concerns.

pymc-labs/CausalPy1.2k—~2.2kAutomated safety check: PassApache-2.0yesterday
5

decision-lab house figure style for matplotlib. An agent skill from pymc-labs/decision-lab.

pymc-labs/decision-lab198—~1.1kAutomated safety check: PassApache-2.012 days ago
6

Challenge causal claims through structured threat assessment, counterfactual reasoning, and CausalPy falsification checks.

pymc-labs/CausalPy1.2k—~809Automated safety check: PassApache-2.0yesterday
7

Author, configure, and distribute Agent Skills for a Great Docs site.

pymc-labs/pathmc132—~2.6kAutomated safety check: PassMIT4 days ago
8

Performs placebo-in-time sensitivity analysis with hierarchical null model and optional Bayesian assurance.

pymc-labs/CausalPy1.2k1 repo~442Automated safety check: PassApache-2.0yesterday
9

Detect, configure, and use the project's Python environment (uv by default, conda-compatible tool as a fallback).

pymc-labs/CausalPy1.2k—~1.1kAutomated safety check: PassApache-2.0yesterday
10

Configure a Great Docs documentation site through great-docs.yml.

pymc-labs/pathmc132—~2kAutomated safety check: PassMIT4 days ago
11

Complete reference for decision-lab (dlab). An agent skill from pymc-labs/decision-lab.

pymc-labs/decision-lab198—~957Automated safety check: PassApache-2.012 days ago
12

Review and improve Python docstrings for Great Docs API reference generation.

pymc-labs/pathmc132—~2.3kAutomated safety check: PassMIT4 days ago
13

Methodology for probabilistic forecasting of when and whether a future event will occur.

pymc-labs/decision-lab198—~2.4kAutomated safety check: PassApache-2.012 days ago
14

Guide for using the dhub CLI — the AI skill manager for data science agents.

pymc-labs/decision-hub104—~3.8kAutomated safety check: WarnMIT1 mo ago
15

Write and maintain narrative user-guide pages for a Great Docs site.

pymc-labs/pathmc132—~2.3kAutomated safety check: PassMIT4 days ago
16

Explore unfamiliar APIs, libraries, or implementation behavior with minimal reproducible examples and documented findings.

pymc-labs/CausalPy1.2k—~442Automated safety check: PassApache-2.0yesterday
17

Create, evaluate, and triage GitHub issues for CausalPy. An agent skill from pymc-labs/CausalPy.

pymc-labs/CausalPy1.2k—~254Automated safety check: PassApache-2.0yesterday
18

Fit, summarize, plot, and interpret a chosen CausalPy experiment.

pymc-labs/CausalPy1.2k1 repo~1.3kAutomated safety check: PassApache-2.0yesterday
19

Autonomous bug-fix workflow. An agent skill from pymc-labs/pathmc.

pymc-labs/pathmc132—~4.6kAutomated safety check: PassApache-2.04 days ago
20

Interactive development in marimo notebooks with validation loops.

pymc-labs/CausalPy1.2k—~357Automated safety check: PassApache-2.0yesterday
21

Bayesian path analysis (observed-variable SEM) in PyMC. An agent skill from pymc-labs/pathmc.

pymc-labs/pathmc132—~4kAutomated safety check: PassMIT4 days ago
22

Choose the appropriate CausalPy experiment class from a causal or impact question, data structure, treatment assignment, and identification assumptions.

pymc-labs/CausalPy1.2k—~1.4kAutomated safety check: PassApache-2.0yesterday
23

Bring a pull request to green by syncing with main, resolving conflicts safely, and fixing failing checks with CausalPy conventions.

pymc-labs/CausalPy1.2k—~1.7kAutomated safety check: PassApache-2.0yesterday
24

Turn issues into PRs, handle commits, and run prek checks consistently.

pymc-labs/CausalPy1.2k—~121Automated safety check: PassApache-2.0yesterday

Questions, answered from the data.

What is the best skill by pymc-labs?

Example Datasets from pymc-labs/CausalPy ranks first of the 24 skills by pymc-labs listed here, with the highest score: its repository has 1.2k GitHub stars, its SKILL.md loads about 587 tokens and it passes the automated safety check with no findings. Next come Great Docs and Dhub Skill Creator.

Are pymc-labs's skills official?

None yet. All 24 skills by pymc-labs listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.

How are these skills ranked?

By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.