Predictive Modeling
Use whenever the GOAL is a prediction rather than an effect — predict, score, rank, flag, classify, forecast, or detect-anomalies on units to drive an action ("which pharmacy is likely diverting opioids from its shipments", "which claim to audit", "which account to review", "flag the outliers", "rank by risk", "who's likely to churn"). The third arm of the modeling fork — route here by GOAL, not algorithm: if the deliverable is a prediction it is this skill even when a random forest does the work; if the goal is a causal effect it stays in causal-identification EVEN when ML does the heavy lifting (double/debiased ML, causal forests, ML propensity scores). Forces the prediction workflow — write and sign off the Prediction Spec (decision + cost asymmetry, target/label + regime, prediction-time, features + leakage audit, deployment-matched split, metric-tied-to-decision + baseline, method) BEFORE fitting; PROVE the evaluation is honest (permutation/null leakage probe, deployment-mirroring holdout, calibration, beat-the-baseline) before trusting any metric; and never read feature importance / SHAP as causal. Covers clean-label, proxy/weak-label, unsupervised/anomaly (no label), and ranking/triage regimes, in R, Julia, or Python — a high validation score is not a working model until leakage is ruled out and the split mirrors deployment.
Security AStatic scan found no risk patternsHow grading works ›
What this skill does
Predictive Modeling is a community-contributed Claude Code skill in the product-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/predictive-modeling/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use whenever the GOAL is a prediction rather than an effect — predict, score, rank, flag, classify, forecast, or detect-anomalies on units to drive an action ("which pharmacy is likely diverting opioids from its shipments", "which claim to audit", "which account to review", "flag the outliers", "rank by risk", "who's likely to churn"). The third arm of the modeling fork — route here by GOAL, not algorithm: if the deliverable is a prediction it is this skill even when a random forest does the work; if the goal is a causal effect it stays in causal-identification EVEN when ML does the heavy lifting (double/debiased ML, causal forests, ML propensity scores).
Who uses this skill
The Predictive Modeling Claude Code skill is built for product managers, product designers, and cross-functional teams planning, shipping, and measuring product features. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 196,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/predictive-modeling
curl -L https://claudskills.com/skills/predictive-modeling/SKILL.md \
-o ~/.claude/skills/predictive-modeling/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/predictive-modeling/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/predictive-modeling/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\predictive-modeling\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Predictive Modeling Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/predictive-modeling/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Predictive Modeling skill do?
Use whenever the GOAL is a prediction rather than an effect — predict, score, rank, flag, classify, forecast, or detect-anomalies on units to drive an action ("which pharmacy is likely diverting opioids from its shipments", "which claim to audit", "which account to review", "flag the outliers", "rank by risk", "who's likely to churn"). The third arm of the modeling fork — route here by GOAL, not algorithm: if the deliverable is a prediction it is this skill even when a random forest does the work; if the goal is a causal effect it stays in causal-identification EVEN when ML does the heavy lifting (double/debiased ML, causal forests, ML propensity scores). Forces the prediction workflow — write and sign off the Prediction Spec (decision + cost asymmetry, target/label + regime, prediction-time, features + leakage audit, deployment-matched split, metric-tied-to-decision + baseline, method) BEFORE fitting; PROVE the evaluation is honest (permutation/null leakage probe, deployment-mirroring holdout, calibration, beat-the-baseline) before trusting any metric; and never read feature importance / SHAP as causal. Covers clean-label, proxy/weak-label, unsupervised/anomaly (no label), and ranking/triage regimes, in R, Julia, or Python — a high validation score is not a working model until leakage is ruled out and the split mirrors deployment.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Predictive Modeling skill?
Use Predictive Modeling when your Claude Code task falls under the Product category — specifically in the product misc area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Predictive Modeling" or describe the task and let Claude pick). Browse related skills at
/category/product/.
What is a Claude Code skill and how does the Predictive Modeling skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Predictive Modeling is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Product category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
lancegui. (2026). Predictive Modeling [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/predictive-modeling/
BibTeX
@misc{predictive-modeling-2026,
author = {lancegui},
title = {Predictive Modeling [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/predictive-modeling/}
}Embed this skill
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Security scan
Grade A · scanned 2026-09-28 — free static scan against the OWASP Agentic Skills Top 10.
The scan flagged 1 of 10 categories (execution), including lower-severity patterns. Patterns shown inside code fences are weighted as examples rather than instructions — read the grading methodology for what this does and does not guarantee.
- ✓ Prompt injection
- ✓ Data exfiltration
- ✓ Supply chain
- ✓ Reverse shell
- ✓ Credentials
- ⚠ Execution
- ✓ Filesystem
- ✓ Persistence
- ✓ Obfuscation
- ✓ Network
Show this grade on your repo (click to copy):
[](https://claudskills.com/skills/predictive-modeling/#security)
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