.Agent

Foundational skill for navigating the Tier 0 Active Consciousness and proposing Tier 4 Memories.

Monitor ML model performance, data drift, LLM observability, and production metrics

XSUAA configuration and scopes, OAuth 2.0 flows in BTP, principal propagation (cloud to on-premise), CDS access control (DCL rules), API authentication patterns

Master system orchestration, blueprint rendering, project scaffolding, multi-agent debates, and SDLC stage validators.

FastAPI backend orchestration, MCP infrastructure servers/clients, and community integrations.

Manage files in Google Drive using the Google Drive MCP server.

Validation of workspace schemas, JSON syntax verification, dependency audits, workflow structure checks, and catalog consistency.

Analyze Factory knowledge base to identify missing, shallow, or stale content

Automated documentation generation from code including docstrings, API docs, and architecture diagrams

SQL generation with LLMs, schema understanding, query optimization, and text-to-SQL pipelines

Enable verified, axiom-compliant communication between Factory agents

LoRA/QLoRA/PEFT fine-tuning workflows with Hugging Face transformers

Use when starting feature work that needs isolation from the current workspace - creates isolated git worktrees. Good for @Operator (PROPS).

Document chunking strategies, hybrid retrieval (semantic + keyword), reranking patterns, and citation/attribution

ASP.NET Core authentication and authorization patterns

Tactical Blueprint for SAP Cloud Integration (CPI), Event Mesh, and API Management. Focuses on secure, observable, and resilient enterprise integration patterns.

Micrometer metrics (counters, gauges, timers), Distributed tracing with Micrometer Tracing + Zipkin/Jaeger, Structured logging (Logback + JSON), Spring Boot Actuator endpoints, Prometheus + Grafana setup, Custom health indicators

Prisma schema design patterns, relations (1:1, 1:N, M:N), migrations workflow, Prisma Client queries (findMany, create, update, transactions), seeding, type-safe queries, and performance optimization.

Parses an Agentic PRD (knowledge/prd.md) to extract structured configuration for automated project generation. Extracts Epics, Stories (with JSON acceptance criteria), NFRs, and AI components. Use when initializing a project or feature implementation from a verified PRD.

Tools for managing the execution environment active SDLC stack (e.g., Python_FastAPI, DotNet_CSharp) to ensure correct workflow routing.

Systematic maintenance, debugging, updating, and health reporting for the agent factory codebase.

Entity Framework Core patterns for data access, migrations, and query optimization

Graph RAG patterns, entity extraction with LLMs, relationship mapping, and Neo4j integration

Skill for migrating hardcoded environment parameters to the Single Point of Truth configuration

Collaborative team workshop series for designing customized Cursor agent systems grounded in love, truth, and beauty

Platform-specific shell command considerations for Windows PowerShell and Unix shells

Dataset preparation for ML, HuggingFace datasets, custom loaders, data validation with Great Expectations, feature engineering, data versioning with DVC, preprocessing pipelines

Factual claim verification - the canonical profile of grounding-verification

Building and managing premium statistical dashboards, RAG explorer UIs, warehouse log monitors, and real-time visualization centers.

Spring Boot 3+ project setup (Initializr), REST controllers, Service layer patterns, Exception handling (@ControllerAdvice), Profiles and configuration, Bean validation, Async operations

Specialized skill for ingesting rag content

Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR.

Implement inductive learning by observing patterns and proposing improvements to axioms, principles, and methodologies

NeMo Guardrails setup, Guardrails AI integration, prompt injection prevention, PII detection, content safety, topic control

React 19 component patterns, hooks, state management, and composition

ASP.NET Core Minimal APIs, Controllers, dependency injection, middleware, background services, options pattern, health checks

Tactical Blueprint for Retrieval-Augmented Generation (RAG) systems. Focuses on document ingestion, semantic retrieval, reranking, and citation truth.

CPI iFlow design patterns (content-based routing, splitter, aggregator), Groovy script patterns, API Management policies, Event Mesh topic design, OData consumption

Tactical Blueprint for stateful AI agents and multi-agent systems. Focuses on LangGraph orchestration, state persistence, and procedural loop logic.

Inspect and list the contents of the Qdrant RAG ebook library

Specialized skill for retrieving rag context

Catalog generation, reference link verification, workshop documentation building, and knowledge gap analysis.

Manage calendar events using the Google Calendar MCP server.

Skills for orchestrating native mobile builds for iOS and Android.

Claude agentic loop patterns - tool use until done, extended thinking for complex reasoning, safety and alignment patterns, LangChain ChatAnthropic integration

Synthesises all raw idea dumps in knowledge/ideas/raw/ into labelled opportunity clusters with themes, strength signals, and a prioritisation matrix. Use this skill after one or more brainstorming sessions, when the user wants to make sense of accumulated ideas, find patterns, or asks "what themes are emerging" or "which ideas are worth pursuing". Writes output to knowledge/opportunities.md.

Docker multi-stage builds for Java (JDK vs JRE), GraalVM native images, Jib for containerization, Kubernetes deployment (Deployment, Service, ConfigMap, Secrets), Helm charts, Health probes (liveness, readiness, startup), Resource limits

Tactical Blueprint for ML Training, Deployment, and Monitoring. Focuses on production-grade PyTorch loops, distributed training, and MLOps observability.

Tactical Blueprint for high-performance Python Asyncio. Focuses on structured concurrency, resource safety, and resilient background processing.

Maps all upstream, downstream, data, and AI dependencies needed to implement the requirements. Produces a dependency graph with integration contracts and a risk register. Use when the user wants to understand what systems need to be connected, asks "what do we depend on", "what integrations are needed", "what could block us", or is preparing for architecture. Requires knowledge/prd.md or knowledge/prototype-brief.md. Writes to knowledge/dependencies.md.

Tactical Blueprint for managing Google Workspace (Drive, Gmail, Calendar). Focuses on prescriptive search, organization, and high-fidelity communication.

Use when about to claim work is complete, fixed, or passing, before committing or closing tasks - requires running verification commands and confirming output before making any success claims.

Skills for performing security audits and gas optimization checks on smart contracts.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

Procedural truth for orchestrating high-fidelity software delivery via Plane MCP server.

Prompt management with LangSmith Hub - versioning, testing, and evaluation

Design and implement algorithmic trading strategies with entry/exit rules, position sizing, and risk parameters

RAGAS evaluation setup, DeepEval integration, LangSmith evaluation runs, custom metrics, retrieval quality metrics, regression testing for LLM outputs

Structured knowledge capture to extract team wisdom, lessons learned, and best practices for embedding in agent systems

Global documentation skill for generating code references, SDLC gate artifacts, and repository management files (README, Changelog, ADRs).