Copilot Global Config

Generate codebase maps with directory trees and relationships. Use for onboarding and architecture documentation.

Generate session handoff documents for work continuation. Use when transitioning between sessions.

Behavior-preserving code simplification to reduce complexity while keeping outputs, side effects, and APIs unchanged.

Generate hierarchical AGENTS.md files per directory. Use for context-specific instructions throughout projects.

Interview users to convert rough ideas into structured specs. Use before starting non-trivial features.

Memory bank rules, structure, and optimization — complete guide to Pantheon memory management.

File-backed task management with dependencies and parallel execution. Use for complex work with 3+ interdependent tasks.

Audit a repository for token waste — find redundant context files, measure baseline, recommend optimizations

Load prompts from external files with path expansion. Use for version-controlled prompts outside config.

Pin session objectives to prevent scope creep. Use for alignment across long multi-agent sessions.

Auto-continue through todos with idle detection and safety gates. Use for multi-step orchestration.

RAG pipeline design — chunking, embeddings, retrieval strategies, evaluation, and demo patterns.

Cache patterns for Redis, CDN, TTL, and invalidation. Use for architecture decisions on caching strategies.

Tool-agnostic search — query construction, tool selection, source trust hierarchy.

TDD enforcement with RED→GREEN→REFACTOR cycle and advanced testing patterns. Use for test-driven development across all layers.

Evaluate AI agent outputs — hallucination detection, quality scoring, behavioral testing, and CI/CD pipelines.

Analyze React components for design tokens and accessibility. Use for extracting typography, colors, and layout patterns.

Plan feature architecture with component breakdown, data flow, and dependency mapping. Use before implementation to define contracts between layers.

Advanced testing with E2E, load, mutation, and contract tests. Use for production-ready test coverage beyond unit tests.

Multi-agent orchestration with model routing, category delegation, and sprint management. Use for coordinating Pantheon agents.

Database migrations with Alembic, rollbacks, and zero-downtime deployment. Use for schema changes.

Pre-plan gap analysis for hidden intentions and edge cases. Use before delivering plans to catch missing elements.

Security audit with SAST, SCA, containers, SBOM, PII detection. Use for comprehensive security reviews.

Implement SSE, WebSockets, LLM token streaming, and real-time broadcasting in FastAPI.

Observability with OpenTelemetry, metrics, and logging. Use for monitoring agents and LLM calls.

Design RESTful APIs with pagination, filtering, and OpenAPI docs. Use for FastAPI endpoint design.

Structured artifact trail for feature implementations — plans, implementations, reviews, and decisions.

Level 2 — Pantheon-native context compression with priority scoring, semantic summarization, downstream-aware compression, budget allocation, and cross-references

Extract learnings between implementation waves. Use to share conventions and gotchas across phases.

Systematic code review with quality gates, security audit, and parallel checks. Use for structured feedback on pull requests.

Optimize SQL queries, indexes, and identify N+1 problems. Use for database performance and migration review.

Optimized Dockerfiles with multi-stage builds and security hardening. Use for container setup and docker-compose.

Async FastAPI with dependency injection and service patterns. Use for building type-safe API endpoints.

Build MCP servers with Python FastMCP and TypeScript SDK — tools, resources, prompts, and transport configuration.

Practical step-by-step walkthrough for orchestrating features end-to-end using the multi-agent system, from planning through deployment

Automated visual review pipeline — Playwright screenshots, self-analysis, fix loop, escalation. Used by Aphrodite for UI verification.

SEO optimization for Next.js with metadata and Open Graph. Use for search ranking and social sharing.

Remote sensing pipeline with optical/SAR processing and ML classification. Use for satellite imagery analysis.