Menu
Google Drive CLI for listing, searching, uploading, downloading, and sharing files and folders.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | gdcli |
| description | Google Drive CLI for listing, searching, uploading, downloading, and sharing files and folders. |
Command-line interface for Google Drive operations.
npm install -g @mariozechner/gdcli
First check if already configured:
gdcli accounts list
If no accounts, guide the user through setup:
gdcli accounts credentials ~/path/to/credentials.jsongdcli accounts add <email> (use --manual for browserless OAuth)Run gdcli --help for full command reference.
Common operations:
gdcli <email> ls [folderId] - List files/foldersgdcli <email> ls --query "<query>" - List with Drive query filtergdcli <email> search "<text>" - Full-text content searchgdcli <email> download <fileId> [destPath] - Download a filegdcli <email> upload <localPath> [--folder <folderId>] - Upload a filegdcli <email> mkdir <name> - Create a foldergdcli <email> share <fileId> --anyone - Share publiclyTwo different commands:
search "<text>" - Searches inside file contents (fullText)ls --query "<query>" - Filters by metadata (name, type, date, etc.)Use ls --query for filename searches!
Format: field operator value. Combine with and/or, group with ().
Operators: =, !=, contains, <, >, <=, >=
Examples:
# By filename
ls --query "name = 'report.pdf'" # exact match
ls --query "name contains 'IMG'" # prefix match
# By type
ls --query "mimeType = 'application/pdf'"
ls --query "mimeType contains 'image/'"
ls --query "mimeType = 'application/vnd.google-apps.folder'" # folders
# By date
ls --query "modifiedTime > '2024-01-01'"
# By owner/sharing
ls --query "'me' in owners"
ls --query "sharedWithMe"
# Exclude trash
ls --query "trashed = false"
# Combined
ls --query "name contains 'report' and mimeType = 'application/pdf'"
Ref: https://developers.google.com/drive/api/guides/ref-search-terms
~/.gdcli/credentials.json - OAuth client credentials~/.gdcli/accounts.json - Account tokens~/.gdcli/downloads/ - Default download locationScaffold repo-local Ralph autonomous harness under scripts/ralph/. Use when user runs /flow-next:ralph-init.
Collect, deduplicate, enrich, triage, and convert code comments (TODO/FIXME/HACK/NOTE/OPTIMIZE/SECURITY/DEBT) into structured, dependency-ordered task lists ready for autonomous agents. Use when processing technical debt, converting code notes into tracked work, preparing task backlogs, or generating executable task graphs. Triggers: TODO triage, fixme list, tech debt scan, task extraction, comment analysis.
Converts any MCP server into a standalone skill package with zero runtime dependencies (no MCP process required). Trigger when user says: "convert this MCP to a skill", "I don't want to use MCP anymore", "wrap MCP X as a skill", "MCP is too heavy", "turn MCP capabilities into a skill". Does: connects to MCP server to extract tool schemas, analyzes source code to infer equivalent Bash commands, generates a ready-to-use skill package and registers it with the agent, optionally asks user to remove the original MCP. Does NOT: execute MCP tool calls to complete tasks (that's using MCP, not converting it); wrap existing Bash scripts as skills (use skill-creator); execute MCP business logic. Optional dependency: skill-creator (improves generated SKILL.md quality).
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Creates high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when building MCP servers to integrate APIs, designing tool schemas, or implementing Python (FastMCP) or TypeScript (MCP SDK) servers. Triggers include "MCP server", "tool schema", "model context protocol", or "FastMCP".
Builds and refactors production-ready Python CLI tools and packages with modern pyproject layouts, uv workflows, and robust testing.