Free alternatives to shap
50 free AI Skills apps to use instead, best rated first.
Top picks
- W
webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
- C
content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B
batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I
implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning
finishing-a-development-branch
Guides completion of development work by presenting clear options
test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About shap
shap
Explain and audit machine-learning predictions with SHAP
shap is an agent skill for explaining and auditing machine-learning predictions with SHAP. It describes how a fitted model maps inputs to outputs. The skill works from the modern shap.Explanation interface, makes the explained output and the background distribution explicit, and checks every explanation before anyone interprets it. It covers choosing explainers and maskers, computing and validating feature attributions, and plotting them. It is aligned with SHAP 0.52.0, released on 28 May 2026, which requires Python 3.12 or newer. The maintained examples were checked on Python 3.12 with NumPy 2.5.3, pandas 3.0.6, scikit-learn 1.9.1 and matplotlib 3.11.2. Native tests cover several explainer types, and XGBoost 3.4.1 smoke checks cover raw, probability, loss and interaction outputs. The skill sets firm operating rules. It explains a fixed, evaluated model and does not use SHAP as a substitute for predictive validation. Explanations should use held-out rows, and background rows should come from an appropriate reference population.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/shap