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Feature Store Connector · dicklesworthstone | DecimalAI

Registry skillby dicklesworthstone

Feature Store Connector

dicklesworthstone/feature-store-connector

Source dicklesworthstone/pi_agent_rust ↗License NOASSERTION

Execute feature store connector operations. Auto-activating skill for ML Deployment.

SkillScore100Maintained

Automatic

AI Engineer pack

Last verified 8/29/2026

What it changes

Passed 23 of 23 test cases with the skill, and 22 of 23 without it.

Without skill96%

With skill100%

Checks it passed that the model alone missed

Recommends monitoring read/write latency metrics, request error rates, and online cache hit ratios.

1 fixed22 passed either way0 still failing0 broke

Pass-rate lift: +4 pp
Tokens: +36%
Agent turns: 0%
Response time: +22%

Model gemini-3.6-flashMeasured 8/29/2026v123 of 23 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-store-connector/SKILL.md https://app.decimal.ai/s/dicklesworthstone-feature-store-connector/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add dicklesworthstone-feature-store-connector, 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-store-connector/ and pins it in .decimal/skills.lock

decimalai skills add dicklesworthstone-feature-store-connector

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

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

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

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

A test case the skill fixed. Same model, same prompt, with and without the skill.

Prompt

An engineering team set up a feature store connector and monitors only standard ping/HTTP 200 status endpoints. What core MLOps operational metrics must be collected and tracked for online feature store connector performance?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies basic network ping or HTTP health checks as insufficient for monitoring feature store connectors.	Passed	Passed
Recommends monitoring read/write latency metrics, request error rates, and online cache hit ratios.	Missed	Passed

case-18 · 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 Store Connector

Overview

This skill provides automated assistance for feature store connector tasks within the ML Deployment domain.

When to Use

This skill activates automatically when you:

Mention "feature store connector" in your request
Ask about feature store connector patterns or best practices
Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.

Instructions

Provides step-by-step guidance for feature store connector
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 store connector" 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 deployment concepts

Output

Generated configurations and code
Best practice recommendations
Validation results

Track record

Benchmark

23 / 23

test cases passed, vs 22 / 23 without

Adoption

Users: 0
Times used: 0

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/08-ml-deployment/feature-store-connector/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.

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See it in action

What's inside

Feature Store Connector

Overview

When to Use

Instructions

Examples

Prerequisites

Output

Track record

Benchmark

Adoption

SkillSafety

Source

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