claude-agent-skills-hub / notebooklm-py
AGENTS.md0 starsChanged 54 days agoMITView on GitHub
Status: Active Last Updated: 2026-06-11 src/notebooklm/ contains the async client and typed APIs. Internal feature modules use _ prefixes such as _sources.py, _artifacts.py, _app/, and _runtime/; src/notebooklm/cli/ holds Click adapters, src/notebooklm/mcp/ and src/notebooklm/server/ hold the opt-in MCP and REST adapters, and src/notebooklm/rpc/ handles protocol encoding and decoding. Tests are split by scope: tests/unit/, tests/integration/, tests/server/, and tests/e2e/. Recorded HTTP fixtures live in tests/cassettes/. Examples are in examples/, and diagnostics live in scripts/. Canonical contributor install (full guide: docs/installation.md): Run uv…
- Installs packages
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,700 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository55 other files it gives its agents.
- agent-browser/AGENTS.mdAGENTS.md
- caveman/AGENTS.mdAGENTS.md
- find-skills/AGENTS.mdAGENTS.md
- graphify/AGENTS.mdAGENTS.md
- gsap/AGENTS.mdAGENTS.md
- gstack/AGENTS.mdAGENTS.md
- humanizer/AGENTS.mdAGENTS.md
- hyperframes/AGENTS.mdAGENTS.md
- hyperiux-components/AGENTS.mdAGENTS.md
- i-have-adhd/AGENTS.mdAGENTS.md
- impeccable/AGENTS.mdAGENTS.md
- last30days-skill/AGENTS.mdAGENTS.md
- marketingskills/AGENTS.mdAGENTS.md
- ponytail/AGENTS.mdAGENTS.md
- superdesign-skill/AGENTS.mdAGENTS.md
- superpowers/AGENTS.mdAGENTS.md
- caveman/CLAUDE.mdCLAUDE.md
- claude-hud/CLAUDE.mdCLAUDE.md
- gsap/CLAUDE.mdCLAUDE.md
- gstack/CLAUDE.mdCLAUDE.md
- hyperframes/CLAUDE.mdCLAUDE.md
- hyperiux-components/CLAUDE.mdCLAUDE.md
- impeccable/CLAUDE.mdCLAUDE.md
- last30days-skill/CLAUDE.mdCLAUDE.md
- marketingskills/CLAUDE.mdCLAUDE.md
- notebooklm-py/CLAUDE.mdCLAUDE.md
- superdesign-skill/CLAUDE.mdCLAUDE.md
- ui-ux-pro-max/CLAUDE.mdCLAUDE.md
- ui-ux-pro-max-skill/CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- brandkitSkill
- industrial-brutalist-uiSkill
- defuddleSkill
- gpt-tasteSkill
- gstackSkill
- humanizerSkill
- imagegen-frontend-mobileSkill
- imagegen-frontend-webSkill
- image-to-codeSkill
- json-canvasSkill
- last30daysSkill
- llm-councilSkill
- minimalist-uiSkill
- notebooklmSkill
- obsidian-basesSkill
- obsidian-cliSkill
- obsidian-markdownSkill
- full-output-enforcementSkill
- redesign-existing-projectsSkill
- high-end-visual-designSkill
- stitch-design-tasteSkill
- design-taste-frontendSkill
- design-taste-frontend-v1Skill
- ui-ux-design-patternsSkill
- webgpu-threejs-tslSkill
The file
We split this AGENTS.md into the rules it gives an agent
3 rules. About 0 are common, 0 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 26
Run uv run pytest tests/e2e -m readonly only after notebooklm login and setting test notebook env vars.
- Very specific: line 38
Follow the existing commit style: feat(cli): ..., fix(cli): ..., refactor(test): ..., style: ....
- Very specific: line 42
Prefer --json output and pass explicit notebook IDs instead of relying on notebooklm use.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Repository Guidelines
Status: Active Last Updated: 2026-06-11
Project Structure & Module Organization
src/notebooklm/ contains the async client and typed APIs. Internal feature modules use _ prefixes such as _sources.py, _artifacts.py, _app/, and _runtime/; src/notebooklm/cli/ holds Click adapters, src/notebooklm/mcp/ and src/notebooklm/server/ hold the opt-in MCP and REST adapters, and src/notebooklm/rpc/ handles protocol encoding and decoding. Tests are split by scope: tests/unit/, tests/integration/, tests/server/, and tests/e2e/. Recorded HTTP fixtures live in tests/cassettes/. Examples are in examples/, and diagnostics live in scripts/.
Build, Test, and Development Commands
Canonical contributor install (full guide: docs/installation.md):
uv sync --frozen --extra browser --extra dev --extra markdown
source .venv/bin/activate
uv run playwright install chromium
uv run pytest
uv run pytest -n auto --dist=worksteal # optional faster local run
uv run ruff check .
uv run ruff format .
uv run mypy src/notebooklm
uv run pre-commit run --all-filesRun uv run pytest tests/e2e -m readonly only after notebooklm login and setting test notebook env vars.
Coding Style & Naming Conventions
Target Python 3.10+, 4-space indentation, and double quotes. Ruff enforces formatting and import order with a 100-character line length. Keep module and test file names in snake_case; prefer descriptive Click command names that match existing groups such as source, label, artifact, and research. Preserve the internal/public split: _*.py and _*/ for implementation, exported types in src/notebooklm/__init__.py.
Testing Guidelines
Put pure logic in tests/unit/, REST adapter coverage in tests/server/, VCR-backed flows in tests/integration/, and authenticated NotebookLM coverage in tests/e2e/. Name tests test_<behavior>.py and record cassettes with NOTEBOOKLM_VCR_RECORD=1 uv run pytest tests/integration/ -v (the integration suite uses vcrpy throughout — there is no test_vcr_*.py glob). Coverage is expected to stay at or above the configured 90% threshold.
Commit, PR, and Agent Notes
Follow the existing commit style: feat(cli): ..., fix(cli): ..., refactor(test): ..., style: .... PRs should include a short summary, linked issue when relevant, and the commands run locally.
For Codex or other parallel agents:
- Prefer
--jsonoutput and pass explicit notebook IDs instead of relying onnotebooklm use. - Isolate concurrent runs with
NOTEBOOKLM_PROFILE=agent-<id>so each agent gets its own context file under~/.notebooklm/profiles/<name>/. Fall back toNOTEBOOKLM_HOME=/tmp/agent-<id>only when separate home directories are required. - In headless environments where Playwright login is impractical, authenticate with
notebooklm login --browser-cookies <browser>(requirespip install "notebooklm-py[cookies]").
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

