Quarterly maintenance audit for an existing context architecture. Checks for entropy: token count drift, orphan files, routing violations, stale content, broken cross-references, and "new agent" test regression. Outputs a cleanup report with proposed actions. Use when: architecture was set up (by context-architecture-setup or manually) and needs maintenance, agent quality has degraded over time, token count has grown, user suspects file sprawl, user wants a quarterly health check, user says "clean up context", "audit my files", "context is getting messy again", "run cleanup". Also use after major project milestones (launch, pivot, fundraise close) when context shifts significantly. This skill assumes an architecture already EXISTS – if no entry point or routing table exists, use context-architecture-setup first.

2026-04-233

context-architecture-setup

dperhar/useful-ai-agent

Set up a lean, navigable context architecture for AI agents in an organization. Guides the agent through assessment, design, implementation, and verification of lifecycle-split file structure, routing rules, and entry points (CLAUDE.md / AGENTS.md). Use when: a team needs their AI agents to stop hallucinating and start making better decisions, the workspace is messy, or the user wants to set up context for Claude Code / Cursor / Copilot / any AI tool. Trigger on: "set up context", "context architecture", "AI enablement", "agent setup", "file structure for AI", "agent keeps losing context", "agent hallucinating", "set up CLAUDE.md", "set up AGENTS.md".

2026-04-233

ワンクリックで任意のスキルを実行

name	memory-reconciliation
description	Keep markdown source files and MemPalace memory aligned after new durable facts or compaction.