Claude Code Templates is a command-line tool and catalogue for configuring Anthropic’s Claude Code with agents, commands, settings, hooks, integrations, skills, and project templates. Developers use it to browse and install reusable components for their coding workflows. The catalogue includes many of these Claude Code components.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add davila7/claude-code-templates --skill deep-research-notebooklmgit clone --depth 1 https://github.com/davila7/claude-code-templatesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/davila7/claude-code-templates/deep-research-notebooklm)<a href="https://agentmods.dev/skills/davila7/claude-code-templates/deep-research-notebooklm"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/deep-research-notebooklm.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.01575 |
| Opus 5 | $0.00034 | $0.00788 |
| Sonnet 5 | $0.00014 | $0.00315 |
| Haiku 4.5 | $0.00007 | $0.00158 |
Grade A, and why
deep-research-notebooklm scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research via NotebookLM
Research $ARGUMENTS deeply using the NotebookLM MCP server and deliver a structured research brief. Optionally generate studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps) from the research.
Prerequisites
- NotebookLM MCP server must be configured. Install via:
nlm setup add claude-code - If NotebookLM MCP tools are not available, tell the user to run the setup command and restart their session.
Research Workflow
Step 1: Define Scope
Determine the research type based on the user's request:
| Type | Focus |
|---|---|
| Market Research | Industry trends, market sizing, opportunities, TAM/SAM/SOM |
| Competitive Intel | Competitor analysis, positioning gaps, feature comparisons |
| Client/Prospect Research | Company background, pain points, decision makers, recent news |
| Trend Analysis | Technology trends, adoption patterns, forecasts, emerging players |
| Proposal Research | Background for proposals, sector-specific data, case studies |
| Academic/Technical | Papers, frameworks, methodologies, state of the art |
Tell the user what you plan to research and confirm the angle:
"I'll research [topic]. My angle: [specific focus]. I'll investigate: [2-3 specific questions]. Sound right, or should I adjust?"
Wait for confirmation before proceeding.
Step 2: Create NotebookLM Notebook
Use notebook_create to create a notebook named:
Research: [Topic] - [YYYY-MM-DD]
Step 3: Add Context Sources
Use source_add to seed the notebook with relevant context:
- Add any URLs the user provides (articles, company pages, reports)
- Add any documents or files the user references
- Add text summaries of relevant background if no URLs are available
- If researching a company, add their website, LinkedIn, recent press
Step 4: Run Research
Use research_start with a well-crafted query based on the topic and context.
Mode selection:
- Default:
"fast"(~60 seconds, ~10 sources) -- good for most queries - Use
"deep"only if the user explicitly asks for exhaustive research (can take 10+ minutes and may stall at 0 sources)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 133 lines · 68 tokens per session scan A fd3a737335b5
deep-research-notebooklm is a skill published in the GitHub repository davila7/claude-code-templates (30,559 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 1,575 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
claude-md-review
Audit a CLAUDE.md file for the patterns that actually degrade Claude Code's output — vagueness, unnamed files, stale facts, and bloat. Use when asked to review, audit, improve, shrink, or fix a CLAUDE.md, and when a project's results feel inconsistent or Claude keeps rediscovering the same context.
storybrand-messaging-framework
Use StoryBrand for "clarify my message", "rewrite my homepage", "create a BrandScript", "what is my one-liner", or "fix my CTA".
business-adventures-analysis-brooks
Use Business Adventures for "why did this fail?", "analyze this crisis", "what pattern applies?", or "what would Brooks notice?".
harness-step3-session-management
A project setup for keeping an agent’s work state in files between separate chat sessions. It creates a task list, a progress summary, and a script for checking the project environment.
intelligent-investor-graham
Use Graham value investing for Is this investment or speculation, defensive stock screens, margin of safety, Mr. Market, allocation, funds, IPOs.
investing-from-darwin
Apply Pulak Prasad evolutionary investing rules for avoiding big losses, buying resilient quality, rejecting fragile forecasts, and being very lazy.