Marketplace
171 skillsEach listing spells out exactly what's inside β the steps, the ready-to-run code, and which AI tools it works with β so you know what you're getting before you buy.
Use when creating, updating, suspending or deleting Google Workspace users, groups, org units or licences at scale via the Admin SDK Directory API.
- β11-step procedure
- βRunnable Python included
- β5-point quality checklist
Use when auditing a Google Workspace tenant: admin roles, 2SV coverage, third-party OAuth grants, external Drive sharing and login anomalies.
- β7-step procedure
- βRunnable Python included
- β6-point quality checklist
Use when a task needs domain-wide Google Workspace API access (Directory, Reports, Gmail, Drive) and credentials are missing or returning unauthorized_client.
- β12-step procedure
- βRunnable Python / Shell / JSON included
- β8-point quality checklist
Diagnose visual bugs in Godot 4 β invisible objects, blurry sprites, black materials, transparency sorting, shadow and shader faults β using measured evidence.
- β4-step procedure
- βRunnable GDScript / Shell included
- β9-point quality checklist
Use when building or hardening a GCP organization: folder/project hierarchy, Shared VPC, org policies, least-privilege IAM, log sinks, billing guardrails.
- β10-step procedure
- βRunnable Shell / Terraform included
- β10-point quality checklist
Design and implement ML feature stores: online/offline serving, feature freshness, training-serving skew prevention, and feature discovery.
- β9-step procedure
- β6 pitfalls to avoid
- βInstalls into 6 tools
Design ML experiment tracking: hyperparameter logging, model versioning, reproducibility, and experiment comparison workflows.
- β9-step procedure
- β6 pitfalls to avoid
- βInstalls into 6 tools
Design statistically rigorous A/B tests: hypothesis formation, sample size calculation, metric selection, and guardrail setup.
- β8-step procedure
- β7 pitfalls to avoid
- βInstalls into 6 tools
Design event-driven systems: event schema design, broker selection, idempotency, ordering guarantees, and event sourcing.
- β10-step procedure
- β7 pitfalls to avoid
- βInstalls into 6 tools
Invoke when an AI system touches the EU market and you must classify its EU AI Act risk tier and output the obligations and article citations that follow.
- β11-step procedure
- βRunnable Python included
- β8-point quality checklist
Design and scaffold idempotent, observable extract-transform-load pipelines with safe retries, backfills, and quality gates; use when building data pipelines.
- β9-step procedure
- β2 ready-to-run code blocks
- β8-point quality checklist
Audit error handling across a codebase: unhandled rejections, swallowed exceptions, missing retries, and inconsistent error types.
- β8-step procedure
- β6 pitfalls to avoid
- βInstalls into 6 tools
Use before running untrusted or model-generated code, installs, or binaries: stand up a disposable, network-restricted sandbox, run it, then tear it down.
- β8-step procedure
- βRunnable Shell included
- β9-point quality checklist
Use when onboarding, transferring, disabling or offboarding Microsoft Entra ID users, their group memberships and their licenses through Microsoft Graph.
- β10-step procedure
- βRunnable Python / JSON included
- β9-point quality checklist
Use when designing, staging or rolling out Microsoft Entra Conditional Access policies without locking the tenant out.
- β10-step procedure
- βRunnable Python included
- β9-point quality checklist
Use when a task needs Microsoft Graph access: register an Entra app, pick delegated vs application permissions, grant admin consent, authenticate.
- β10-step procedure
- βRunnable Python / JSON included
- β7-point quality checklist
Choose embedding models and strategies: dimensionality, domain-specific models, multi-modal embeddings, and evaluation.
- β9-step procedure
- β6 pitfalls to avoid
- βInstalls into 6 tools
Design document processing pipelines: OCR, layout analysis, information extraction, classification, and human review.
- β8-step procedure
- β6 pitfalls to avoid
- βInstalls into 6 tools
Dockerfile Optimizer
$4.00Use when a Dockerfile builds slowly, produces oversized images, or needs hardening; rewrites it for smaller, faster, and more secure builds.
- β10-step procedure
- β1 ready-to-run code block
- β11-point quality checklist
Design disaster recovery strategies: RTO/RPO targets, backup automation, failover procedures, and DR testing.
- β10-step procedure
- β6 pitfalls to avoid
- βInstalls into 6 tools
Deploy and manage DigitalOcean infrastructure: Droplets, App Platform, Kubernetes, managed databases, spaces, and networking via doctl CLI.
- βRunnable Shell included
- β7 pitfalls to avoid
- βInstalls into 6 tools
Use when deploying or operating apps on DigitalOcean App Platform and Managed Databases: app specs, secrets, PRE_DEPLOY migrations, domains, scaling, cost.
- β14-step procedure
- βRunnable YAML / Terraform / Shell included
- β7-point quality checklist
Design and implement design systems: token architecture, component APIs, documentation patterns, and governance.
- β7-step procedure
- β5 pitfalls to avoid
- βInstalls into 6 tools
Deprecation Manager
$3.00Manage API and feature deprecations safely: sunset timelines, migration guides, usage tracking, and forced upgrade paths.
- β9-step procedure
- β7 pitfalls to avoid
- βInstalls into 6 tools