Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

Feature Importance Analyzer · dicklesworthstone | DecimalAI

Registry skillby dicklesworthstone

Feature Importance Analyzer

dicklesworthstone/feature-importance-analyzer

Source dicklesworthstone/pi_agent_rust ↗License NOASSERTION

Analyze feature importance analyzer operations. Auto-activating skill for ML Training.

SkillScore100Maintained

Automatic

AI Engineer pack

Last verified 8/29/2026

What it changes

Passed 22 of 22 test cases with the skill, and 20 of 22 without it.

Without skill91%

With skill100%

Checks it passed that the model alone missed

Recommends repeating permutations across multiple random seeds using n_repeats
Explains that the plot shows feature impact direction on predictions using point color

2 fixed20 passed either way0 still failing0 broke

Pass-rate lift: +9 pp
Tokens: +23%
Agent turns: 0%
Response time: +8%

Model gemini-3.6-flashMeasured 8/29/2026v122 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/dicklesworthstone-feature-importance-analyzer/SKILL.md https://app.decimal.ai/s/dicklesworthstone-feature-importance-analyzer/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add dicklesworthstone-feature-importance-analyzer, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/dicklesworthstone-feature-importance-analyzer/ and pins it in .decimal/skills.lock

decimalai skills add dicklesworthstone-feature-importance-analyzer

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/dicklesworthstone-feature-importance-analyzer/SKILL.md https://app.decimal.ai/s/dicklesworthstone-feature-importance-analyzer/SKILL.md

Raw file: /s/dicklesworthstone-feature-importance-analyzer/SKILL.md ↗ · machine-readable summary at /s/dicklesworthstone-feature-importance-analyzer.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 2

Prompt

I generated feature attributions for a loan default model. My manager wants a summary visualization that reveals both feature ranking and whether higher feature values increase or decrease the predicted risk. Which SHAP visualization function and plot type best displays feature importance combined with feature value impact directions?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends shap.summary_plot for visualizing feature importance rankings	Passed	Passed
Explains that the plot shows feature impact direction on predictions using point color	Missed	Passed

case-05 · gemini-3.6-flash · 8/29/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md60 linessingle file

Feature Importance Analyzer

Overview

This skill provides automated assistance for feature importance analyzer tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

Mention "feature importance analyzer" in your request
Ask about feature importance analyzer patterns or best practices
Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.

Instructions

Provides step-by-step guidance for feature importance analyzer
Follows industry best practices and patterns
Generates production-ready code and configurations
Validates outputs against common standards

Examples

Example: Basic Usage Request: "Help me with feature importance analyzer" Result: Provides step-by-step guidance and generates appropriate configurations

Prerequisites

Relevant development environment configured
Access to necessary tools and services
Basic understanding of ml training concepts

Output

Generated configurations and code
Best practice recommendations
Validation results

Track record

Benchmark

22 / 22

test cases passed, vs 20 / 22 without

Adoption

Users: 1
Times used: 28

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

dicklesworthstone / pi_agent_rust

tests/ext_conformance/artifacts/plugins-community/skills/07-ml-training/feature-importance-analyzer/SKILL.md

View on GitHub ↗

License MITImported 8/10/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Feature Importance Analyzer

Overview

When to Use

Instructions

Examples

Prerequisites

Output

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills