Skill UI

This skill provides a comprehensive guide for building scalable Retrieval-Augmented Generation (RAG) pipelines and persistent agent memory using Pinecone as the vector database. It covers index setup, embedding large corpuses, implementing dense and hybrid semantic search, and advanced metadata filtering for real-world production systems. Use this for building searchable knowledge bases and context-aware AI agents.

Atlas Ledger acts as a crucial memory companion to atlas-contract. It automatically triggers when a deviation ('drift') is caught during audits or reviews. Its core function is to distill the observed error or mistake into structured, actionable IF/WHEN/DON'T/INSTEAD clauses. These clauses are written to a permanent ledger (Atlas.md), ensuring that subsequent interactions are governed by learned lessons, thereby strengthening the project's overall governance and reliability.

This skill guides coding agents through a comprehensive memory loop using AccInt's MCP server. It allows agents to retrieve prior outcomes, resolve complex reasoning frames, and formally close commitments with verifiable evidence (e.g., passing tests, successful merges). Essential for managing non-trivial, multi-step development workflows and ensuring work builds on genuine results.

This skill enables the creation of a robust 'harness' system for coding agents within a repository. It addresses the need to prevent repeated AI-generated coding mistakes by implementing durable instructions, guardrails, regression tests, and failure memory. It treats the target repository as the source of truth, ensuring consistency and maintaining high reliability across all automated contributions.