Ai Evaluation
Use when setting up quality assurance for AI features — defining evaluation
Cloud Architecture
Use when designing cloud deployments, Dockerising applications, laying out AWS or GCP environments, choosing a deployment pattern, or moving a workload from a single VM to a resilient multi-AZ topology.
Ai Llm Integration
Integrate LLMs into any application — OpenAI, Anthropic Codex, DeepSeek,
Validation Contract
Use when authoring or normalising a specialist skill, or preparing to ship a feature or release — defines the seven evidence categories every specialist skill must declare against and provides the canonical Release Evidence Bundle template. The contract spine that turns scattered validation skills into a coherent ship-readiness check.
Ecommerce Platform Audit Requirements
Use when scoping or specifying an e-commerce platform, payment, API, security, AI, data protection, integration, and remediation audit for SMEs or cross-border digital trade programmes.
Ai Agent Compliance Controls
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Graphql Patterns
Use when designing, building, or operating GraphQL APIs with Apollo Server +
New Project
Use when the task matches skill: new project scaffold and this skill's local workflow.
Ai Feature Spec
Design a single AI-powered feature end-to-end — model selection, prompt
Ai Cost And Metering
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Ai Web Apps
Use when designing or building an AI-enhanced web app (Next.js + Vercel AI SDK, MCP tools, multi-provider chat/RAG) — produces the module gate, token-ledger + budget schema, provider abstraction, and output guardrails. Specialises the integration patterns in `ai-architecture-patterns` for a web-app runtime; hand off metering depth to `ai-metering-billing` and prompt/threat depth to `ai-security`…
Ai Economic Value Engine
Use when discovering, designing, prioritizing, or auditing AI-powered products
Ai Agent Commercial Operations
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Meta Initialization
Detect project type, recommend documentation methodology (Waterfall/Agile/Hybrid), and generate documentation roadmap. Use this as the FIRST skill when starting documentation for any project.
Openai Agents Sdk
Build production AI agents with the OpenAI Agents SDK (Python) — 6 core
Ai Prompt Engineering
Use when writing, refining, or structuring prompts for AI-powered app
Ai Observability And Debugging
Use when building the observability stack for AI features in a multi-tenant SaaS — prompt/response tracing, semantic logging, replay tooling, "show me why this answer", per-stage latency/cost breakdown, ticket→trace tie-back, and dashboards that answer the operational questions (which tenant, which feature, which prompt version, which model).
Database Reliability
Database reliability engineering: SLI/SLO design and error-budget policy
Android Development
Android development standards for AI agent implementation. Kotlin-first,
Ai Incident Response
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Android Data Persistence
Android data persistence standards with Room as primary local storage
Mysql Engineering
Use when designing, implementing, or reviewing MySQL application schemas, SQL, indexes, constraints, stored routines, and production query patterns. Load absorbed MySQL best-practice, data-modeling, and advanced-SQL reference files as needed.
System Architecture Design
Use when defining or reviewing software architecture for web apps, mobile
Ai Opportunity Canvas
Systematically discover and rank AI use cases for any software project
Ai Agent Tooling And Hitl
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Cicd Pipelines
Use when designing or implementing a CI/CD pipeline — stage gates, GitHub Actions production patterns (matrix, reusable workflows, environments), OIDC federation to AWS/GCP/Vault, dependency and Docker-layer caching, fan-out/fan-in orchestration, blue/green and canary deployment, pipeline observability (DORA metrics, queue time), and choosing between GitHub Actions and GitLab CI.
Api Design First
Use when designing or building HTTP APIs — spec-first OpenAPI workflow, REST conventions, versioning, auth model, rate limiting, idempotency keys, error envelope, and observability notes. Produces the OpenAPI contract plus error/auth/idempotency/observability artifacts that frontend, mobile, security, and reliability skills consume. For endpoint-level security review load `vibe-security-skill`; f…
Mysql Operations
Use when administering, tuning, backing up, restoring, monitoring, or troubleshooting MySQL production systems. Load absorbed MySQL administration and query-performance reference files for operational runbooks, indexes, replication, and incident response.
Ai Agent Observability Evaluation
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Android Tdd
Android Test-Driven Development standards. Enforces Red-Green-Refactor
Ai App Architecture
Use when designing or building AI-powered application systems — choosing
Database Design Engineering
Use when designing or reviewing relational or document-backed data architecture
Ai Analytics
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Ai Rag Patterns
Use when building features that answer questions from private data, documents,
Ai Agent Sla And Customer Commitments
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Distributed Systems Patterns
Use when designing or reviewing multi-service, message-driven, or eventually
Ai Security
Use when securing an AI/LLM-powered feature against prompt injection,
Ai Agent Safety And Red Team
Use when hardening agentic features against agent-specific attack surfaces — indirect prompt injection (via tool output, retrieved chunk, web page), action escalation (chain a low-privilege tool's output into a high-privilege tool's args), tenant data exfil via tool chain, recursive self-modification, and the CI red-team suite that catches regressions. Distinct from `ai-prompt-injection-and-tenan…
Postgresql Engineering
Use when designing, implementing, or reviewing PostgreSQL application data models, SQL, indexes, constraints, extensions, server-side routines, and production query patterns. Load the absorbed PostgreSQL reference files for fundamentals, advanced SQL, schema patterns, and server programming.
Ai Agent Drill Evidence And Cadence
Use when capturing kill-switch, red-team, and eval-drift drills as audit-ready compliance evidence — minimum-cadence enforcement, pass/fail recording, and cross-link to the incident drill skill. Turns drills from operational exercises into SOC 2 / ISO 27001 / HIPAA evidence rows with signed packs.
Ai Agent Runtime Architecture
Use when designing the runtime that hosts agentic LLM features in a multi-tenant SaaS — the agent loop as a control-plane service, formal state machine (PERCEIVE → PLAN → ACT → OBSERVE), retries, idempotency, max-step caps, deterministic resumability, and the "agent vs workflow vs cron" decision. Distinct from `ai-agents-tools` (agent fundamentals) and `ai-on-saas-architecture` (overall A…
Ai Entitlements And Feature Gating
Use when designing how AI features are unlocked by plan tier — which model tier (flagship vs distilled), context-length limits, generations/day, tools available to the agent, KB ingestion size, gated AI features (per-feature toggle by plan). Covers entitlement schema, gateway enforcement, upgrade UX, and the contract with `saas-entitlements-and-plan-gating` for the catalogue.
Ai Agent Approval Audit Completeness
Use when proving that every irreversible agent action in the audit window had a documented, signed approval — completeness check (gap-detection job), approval-evidence cross-link to the hash-chained action audit log, and evidence pack for SOC 2 Processing Integrity (PI1.1). Pairs with `ai-agent-action-approval-and-hitl` (mechanism) and `ai-agent-audit-log-integrity` (storage).
Ai Model Gateway
Use when designing or building the LLM gateway — the single outbound surface from the SaaS to all LLM providers. Covers provider abstraction, model selection per tenant tier, fallback chains, retries, per-tenant rate limiting and token caps, request signing, audit logging, regional routing for data residency, cost capture at write time, kill-switch enforcement, and the SDK/HTTP contract feature t…
Ai Agent Memory Erasure Proof
Use when proving agent-memory erasure was complete and verifiable for GDPR / CCPA / POPIA / KE DPA requests — the 9-step cascade verification job emits a signed-off evidence pack. Pairs with `ai-agent-memory` (three-tier memory + erasure cascade) and `saas-tenant-data-portability-and-erasure` (tenant-level erasure pipeline).
Ai Agent Multi Agent Coordination
Use when designing systems where multiple agents collaborate on one task — supervisor/worker, debate, plan-execute, peer handoff. Covers handoff message contracts, shared scratchpad, conflict resolution, deadlock detection, and the cost/SLA discipline that keeps multi-agent setups from spiralling.
Ai Feature Rollout And Experimentation
Use when rolling out AI features safely in a multi-tenant SaaS — feature flags scoped per tenant/user, percentage rollouts gated by eval and SLO budget, canary cohorts, A/B testing of prompts/models, automatic rollback on quality regression, tenant-level opt-out and consent, and shadow-mode for risky changes.
Microservices Architecture
Use when designing, reviewing, or refactoring microservice boundaries, communication, service ownership, deployment independence, resilience, and distributed data flows. Load absorbed microservices fundamentals, models, communication, and resilience references as needed.
Ai Agent Governance And Limits
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Postgresql Operations
Use when administering, tuning, backing up, restoring, monitoring, or troubleshooting PostgreSQL production systems. Load the absorbed PostgreSQL administration and performance reference files for operational runbooks, query tuning, vacuum, replication, and incident response.