MadewellRD/skills-lab

agent-architecture-desk

design AI agent architecture including planning boundaries, execution loops, memory and state strategy, tool routing, approval gates, retries, delegation, and halt behavior.

agent-observability-desk

design observability for AI agents and workflows including traces, prompts, model calls, tool calls, retrieval events, approvals, errors, eval probes, cost, latency, and safety signals.

ai-engineering-command-desk

orchestrate AI engineering workflows from capability intent through model, prompt, tool, agent, retrieval, eval, safety, inference, observability, release, and incident stages using connector-grounded evidence, workflow packets, stage advancement, and halt…

ai-incident-response-desk

triage AI production incidents involving hallucination spikes, safety failures, prompt injection, tool misuse, data leakage, model regressions, cost spikes, latency degradation, eval regressions, or user harm reports.

ai-release-readiness-desk

assess readiness to release AI capabilities across requirements, evals, safety review, red-team status, inference ops, observability, rollback, docs, support handoff, and owner approval.

ai-safety-review-desk

review AI capability risks including misuse, policy compliance, privacy, security, hallucination harm, data leakage, autonomy, tool-use risk, user impact, and mitigations.

cost-latency-optimization-desk

optimize AI system cost and latency using model routing, caching, prompt compression, context pruning, batching, streaming, parallelism, retrieval tuning, and fallback tiers while preserving quality and safety gates.

dataset-curation-desk

plan and review AI datasets for source selection, labeling, balancing, privacy, deduplication, train and eval splits, drift, provenance, consent, and retention.

eval-design-desk

design AI evaluation plans with goals, datasets, rubrics, grading methods, thresholds, regression slices, safety checks, human review, and reporting requirements.

eval-run-analysis-desk

analyze completed AI eval runs, regression deltas, failure clusters, grading reliability, threshold status, release blockers, and rerun recommendations.

fine-tuning-desk

assess and plan fine tuning only when prompt, retrieval, tool, model routing, and eval evidence justify training a specialized model.

inference-ops-desk

plan production inference operations including deployment topology, rate limits, quotas, retries, caching, streaming, fallbacks, batching, timeouts, secrets, logging, and SLOs.

model-selection-desk

select model candidates, routing constraints, fallback behavior, and model tradeoffs for AI capabilities using task fit, quality, latency, cost, safety, modality, context, and deployment evidence.

prompt-systems-desk

design prompt systems, instruction hierarchy, context assembly, prompt contracts, refusal and defer behavior, prompt evaluation fixtures, prompt injection defenses, and prompt observability hooks for AI capabilities.

red-team-eval-desk

plan and analyze adversarial AI testing for jailbreaks, prompt injection, data exfiltration, harmful instructions, over-permissioned tools, and policy evasion.

retrieval-rag-design-desk

design retrieval augmented generation systems with indexing, chunking, embeddings, ranking, filters, citations, freshness policy, permission filtering, and grounding behavior.

synthetic-data-desk

design synthetic data generation workflows with seed examples, constraints, diversity targets, contamination controls, review loops, and validation gates.

tool-schema-design-desk

design AI tool schemas, resource contracts, permission boundaries, argument validation, idempotency rules, error semantics, and result contracts for agentic workflows.

android-app-engineering-desk

prepare Android native app implementation plans for Kotlin, Java, Jetpack Compose, View systems, modularization, storage, networking, background work, sensors, permissions, and platform APIs.

android-architecture-design-desk

design Android app and game architecture, module boundaries, data flow, offline behavior, engine integration, services, APIs, migrations, and ADR-ready decisions.

android-backend-integration-desk

define Android service and API integration, auth, sync, payments, push notifications, analytics, remote config, multiplayer, leaderboards, cloud saves, retries, offline behavior, and failure modes.

android-command-desk

orchestrate complete Android app and game development workflows across discovery, product, architecture, implementation, testing, release, Play Store operations, live ops, and maintenance. use when the user wants to plan, build, validate, launch, operate,…

android-game-engineering-desk

prepare Android game implementation plans for AGDK, NDK, C/C++, Unity, Unreal, Godot, custom engines, rendering, input, assets, frame pacing, and gameplay/runtime constraints.

android-maintenance-growth-desk

plan Android maintenance, dependency upgrades, SDK target updates, deprecations, Play policy changes, experiments, monetization iteration, store optimization, retention, and technical debt.

android-observability-liveops-desk

define Android observability and live ops for crash reporting, logs, metrics, analytics events, alerts, feature flags, remote config, game economy/events, rollout monitoring, and incident response.

android-performance-optimization-desk

plan Android performance for startup, memory, battery, ANR and crash risk, rendering, frame pacing, asset loading, Macrobenchmark, Baseline Profiles, profiling, and device-tier budgets.

android-product-requirements-desk

define Android app and game product requirements, audience, platform targets, acceptance criteria, non-goals, risks, Play constraints, monetization assumptions, and open questions.

android-release-store-ops-desk

plan Android builds, signing, versioning, CI/CD, AAB/APK packaging, internal testing, Play tracks, release notes, staged rollout, rollback, Play Asset Delivery, and store listing readiness.

android-security-privacy-desk

review Android security, privacy, permissions, secrets, Play policy risk, data safety, secure storage, anti-tamper, networking, dependency risk, and abuse controls.

android-technical-discovery-desk

inspect Android repo, Gradle, SDK, NDK, dependency, manifest, device, emulator, engine, CI, feasibility, constraint, and unknown facts before implementation.

android-testing-qa-desk

define Android app and game QA, unit tests, instrumented tests, UI tests, screenshot tests, device matrix, emulator and physical coverage, gameplay smoke, regression, and release gates.

android-ui-ux-desk

plan Android UI/UX, Material design, navigation, responsive layouts, accessibility, input modes, localization, onboarding, and app or game interaction states.

cloud-cost-rightsizing-desk

build the cloud cost allocation model and allocable share, set budgets and anomaly thresholds with named recipients, identify rightsizing candidates from percentile utilization evidence with the performance risk each carries, measure commitment and…

cloud-decommissioning-desk

retire cloud resources stacks accounts and regions safely using an evidence-backed dependent inventory from flow and access and authentication logs, a notice window with named owners, a reversible quarantine step before deletion, data disposition against…

cloud-identity-access-desk

design cloud identity and access, covering federation and single sign-on for human access, role and permission-set structure with least privilege, permission boundaries and their interaction with organization-level denies, workload identity that removes…

cloud-infrastructure-command-desk

orchestrate cloud infrastructure work across landing zones, account and subscription structure, cloud iam and federation, vpc and cidr network topology, hybrid connectivity and dns, compute and managed kubernetes platforms, object storage and managed…

cloud-migration-desk

plan cloud migration from source estate discovery and the dependency graph through disposition per workload across rehost replatform refactor repurchase retain and retire, wave sequencing derived from coupling, landing readiness and target quota per wave,…

cloud-network-architecture-desk

design cloud network architecture, covering the address allocation register and cidr planning, virtual network and subnet layout across availability zones, hub-and-spoke or transit topology and its routing consequences, segmentation with security group and…

cloud-security-posture-desk

assess cloud security posture against named benchmark controls with reachable-exposure analysis rather than raw finding counts, covering public exposure across storage and compute and database and network surfaces, encryption and audit logging coverage per…

cloud-storage-data-services-desk

design cloud storage and data services, covering object block and file storage selection per access pattern, bucket share and volume access policy, lifecycle and tiering rules with their retrieval cost and time, versioning object lock and immutability for…