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resource-management
Use when managing resources like memory blocks, tools, folders, files, or MCP servers
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Use when managing resources like memory blocks, tools, folders, files, or MCP servers
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | resource-management |
| description | Use when managing resources like memory blocks, tools, folders, files, or MCP servers |
src/commands/get.ts - List resourcessrc/commands/describe.ts - Resource detailssrc/commands/delete.ts - Delete resourcessrc/commands/files.ts - Agent file statesrc/lib/block-manager.ts - Memory block opssrc/lib/resource-classifier.ts - Shared/orphaned classification# List resources
lettactl get blocks [--shared] [--orphaned] [-o table|json|yaml]
lettactl get tools [--builtin] [--custom]
lettactl get folders [--orphaned]
lettactl get files
lettactl get mcp-servers
# Describe
lettactl describe block <name>
lettactl describe tool <name>
lettactl describe folder <name>
# Delete
lettactl delete block <name> [-y] [--force]
lettactl delete tool <name> [-y]
lettactl delete folder <name> [-y]
# Agent files
lettactl files <agent>
Block { id: string; name: string; description: string; limit: number; value: string }
Tool { id: string; name: string; source_type: 'python' | 'builtin' }
Folder { id: string; name: string; files: FileInfo[] }
McpServer { id: string; name: string; type: 'sse' | 'stdio' | 'streamable_http' }
Cannot be deleted:
memory_insert, memory_replace, memory_rethink, memory, conversation_searchopen_files, grep_files, semantic_search_files# List orphaned blocks
lettactl get blocks --orphaned
# View block details
lettactl describe block company-info -o json
# Show agent's files
lettactl files my-agent
# Delete unused folder
lettactl delete folder old-docs -y
Thorough code review covering architecture, code quality, and performance. Use when asked to "review this plan", "review code", "audit architecture", "check code quality", or "review for performance". Walks through issues interactively with tradeoff analysis and opinionated recommendations.
Manage Letta AI agent fleets with kubectl-style CLI
Use when releasing features - covers issues, branches, tests, commits, PRs, versioning, and publishing
Use when deploying agents from YAML configuration files
Use when managing individual agents - creating, updating, deleting, listing, or describing
Use when performing bulk operations like cleanup, delete-all, or bulk messaging