القائمة
Use this skill when working with Google NotebookLM — creating/querying notebooks, managing sources, or running research workflows via the notebooklm-mcp MCP server.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Calibrate the Claude Code statusline against the real /usage numbers. Use when the user shares a screenshot of the in-app `/usage` panel (or the claude.ai Settings → Usage page) and wants the statusline's "time left", session %, and weekly % to match what Claude actually reports. Fixes ccusage block-drift, where the local 5-hour clock starts from the first transcript message instead of the real server-side reset.
Dispatch a review task to Gemini CLI (large-context review — plans, docs, large file corpora) or Codex CLI (code review — diffs, PRs, implementation quality). Routes based on the nature of the artifact being reviewed. Use from achieve-goal, literature-survey skills, or any skill that needs a CLI-based review gate. This is a headless CLI review gate over a concrete artifact (code, diff, or doc corpus); for an interactive second opinion or a side-by-side model comparison via MCP chat, use consult-llm instead.
Use when the user wants a second opinion from Gemini or OpenAI/ChatGPT, asks to "consult" another model, or wants to compare responses across models. This is the interactive MCP chat path for a second opinion or model comparison; to run a structured review gate over code, diffs, plans, or large doc corpora through a headless CLI, use cli-review instead.
Use this skill when deciding whether and how to update the knowledge base at /path/to/works/for/you/knowledge_base/ after completing a task. This is the post-task "does this work belong in the KB, and where" decision path; to turn a pasted LLM conversation transcript into a KB note use kb-from-conversation instead.
Periodic review of the memory system at ~/.claude/memory/ for duplicates, redundancies, conflicts, and stale entries. Use when the user asks to audit, clean up, or review memory. Presents findings with enforcement trade-off context — never retires anything without user confirmation. Scoped to the agent memory files under ~/.claude/memory/; for the same kind of duplicate/stale/conflict audit over the knowledge base at /path/to/works/for/you/knowledge_base/ use kb-sweep instead.
Use this skill when the user wants to "promote", "move", "upgrade", or "migrate" a project-level skill, agent, or rule (e.g. a Cursor rule, a project-local AI rule, or any .md skill/agent file) into a global Claude scope. By default always promotes to global (~/.claude/skills/, ~/.claude/agents/, ~/.claude/CLAUDE.md) unless the user explicitly says "project-level". Moves the file so it is shared across all projects and symlinks it back so the original project is not broken. This keeps the skill private to your global ~/.claude scope; to publish skills to the public agent_skills GitHub repo, use publish-skills instead.
| name | notebooklm |
| description | Use this skill when working with Google NotebookLM — creating/querying notebooks, managing sources, or running research workflows via the notebooklm-mcp MCP server. |
MCP server: notebooklm-mcp (11 tools). Script: ~/.claude/notebooklm_mcp_lite.py.
Full 35-tool server available at /path/to/works/for/you/.local/bin/notebooklm-mcp.
Auth: run nlm login. Refresh mid-session: refresh_auth.
| Tool | Notes |
|---|---|
notebook_list | List all notebooks |
notebook_get | Get notebook details, including sources list |
notebook_create | Create a new notebook |
notebook_delete | Requires confirm=True after user approval |
source_add | Add url / text / drive / file (PDFs via file_path) |
source_delete | Requires confirm=True; accepts source_id or source_ids |
notebook_query | Query existing sources only |
refresh_auth | Re-authenticate mid-session |
research_start | Start web or Drive search for new sources |
research_status | Poll research job; use compact=False to review hits |
research_import | Import after complete; use source_indices to pick a subset |
Query an existing notebook:
notebook_list → notebook_query(notebook_id=..., query=...)
Add a source:
notebook_get to confirm notebook ID → source_add(notebook_id=..., url=...)
Research workflow (find and import new sources):
research_start(notebook_id=..., query=..., source_type="web")research_status(job_id=..., compact=False) — poll until complete, review hitsresearch_import(job_id=..., source_indices=[0, 2, 4]) — import chosen subsetDestructive operations: always require confirm=True; ask user before calling.