ML & Data Science

Explore thousands of expert prompts for ml & data science when you install Aibō. Our curated library helps you work faster and smarter with AI.

Featured prompts

Training/test split leakage detector

Audit ML datasets for train/test leakage by reviewing schema, keys, timestamps, and splits, then output risks, queries, and a safer split recipe for ML teams

Smart hyperparameter search budget planner

Generate an expert MLOps hyperparameter search plan for ML teams, maximizing signal per GPU-hour with strategy, early stopping, parallelism, budget, schedule.

Drift and monitoring setup planner

Design an end-to-end ML monitoring plan with low-noise drift, performance, freshness, and outlier monitors, thresholds, retrain triggers, logging for ML teams.

Reproducible environment and artifact checklist

Create a tailored reproducible environment and artifact checklist for data/ML/software teams, covering pinned deps, base images, data versioning, determinism.

PII scan and de-identification plan

Generate a GDPR/CCPA/PCI-DSS-aligned PII scan and de-identification plan with regex rules, masking/tokenization, risk scoring, and validation for data teams.

Data quality checks from your schema

Generate Great Expectations data quality suites from table schemas, samples, and rules for data teams, including cross-table checks and alert routing.

Cloud cost forecast for training and serving

Produce a defensible cloud cost forecast for AI training and serving with line-item breakdowns, sensitivity analysis, and ranked savings levers for ML/FinOps

Stakeholder-ready model card generator

Generate a model card for mixed stakeholders, detailing purpose, data sources, metrics, risks, fairness, monitoring, updates, and change log for AI models.

ML service SLI/SLO and alert thresholds

Generate per-route SLIs/SLOs for ML/HTTP services with error budgets, freshness/drift SLIs, MWMBR alert thresholds, and escalation links for SRE architects.

Evaluation dashboard with slice analysis

Generate a structured evaluation for ML teams, computing classification metrics, confusion, calibration, and significant slice drops, with prioritized fixes

Model deployment path picker

Recommend a cost-effective serving path for ML teams, choosing batch vs real-time, serverless vs containers, CPU vs GPU, with autoscaling, sizing, rollout plan.

Incident playbook for model failures

Generate a ready-to-run runbook for ML model failures covering triggers, diagnosis steps, mitigations, comms templates, postmortem for SRE and MLOps teams

Focus-friendly DS sprint plan

Generate a one-week DS sprint plan for delivery leads, protecting deep work with maker mornings, batched meetings, async updates, and 80/20 priorities.

Labeling guideline and edge-case checklist

Generate comprehensive labeling guidelines and edge-case checklist with decision trees, examples, and QC for ML annotation teams from task, labels, and examples

SEO keyword localization plan

Create an 80/20 SEO keyword localization plan that turns English seeds into localized, intent-led keywords, SERP-fit meta and on-page fixes for SEO managers

Culturally safe copy rewrite

Help marketers localize short copy by rewriting for target locales and audiences with cultural safety, proper formality, and notes on idioms, symbols, colors.

Pluralization and placeholders fixer

Generate CLDR-accurate ICU MessageFormat strings across locales with plural, gender, and ordinal rules, stable placeholder order, and tests for l10n/i18n teams.

App store listing localizer

Localize and optimize App Store and Google Play listings with compliant titles, descriptions, A/B variants, and localized keyword sets for ASO teams.

International forms audit

Audit and optimize forms for global use with per-locale fields, validation, labels, and test data, returning actionable JSON for product and engineering teams.

RTL readiness checklist

Generate a prioritized, handoff-ready RTL checklist covering mirroring, alignment, truncation, icons, and bidi text with fixes, owners for design, dev, i18n, QA