Recall relevant memories before answering questions about past work, decisions, preferences, people, or project context. Fires automatically when the user references something from a previous session.
From engramnpx claudepluginhub anthropics/claude-plugins-community --plugin engramThis skill uses the workspace's default tool permissions.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Details PluginEval's skill quality evaluation: 3 layers (static, LLM judge), 10 dimensions, rubrics, formulas, anti-patterns, badges. Use to interpret scores, improve triggering, calibrate thresholds.
You have persistent memory powered by Engram. Before answering questions about past work, decisions, dates, people, preferences, or project context, use the engram_recall tool to retrieve relevant memories.
Use the engram_recall MCP tool with a context string that describes what you need:
engram_recall({ context: "project architecture decisions for the API redesign" })
The recall engine uses semantic search, entity graph traversal, and temporal weighting to find the most relevant memories. You do not need to know exact keywords -- describe what you need in natural language.