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 cto-advisorgit 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/cto-advisor)<a href="https://agentmods.dev/skills/davila7/claude-code-templates/cto-advisor"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/cto-advisor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/davila7/claude-code-templates/cto-advisor"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/cto-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00092 | $0.02177 |
| Opus 5 | $0.00046 | $0.01089 |
| Sonnet 5 | $0.00018 | $0.00435 |
| Haiku 4.5 | $0.00009 | $0.00218 |
Grade A, and why
cto-advisor 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 6d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- cto-advisor — 100% identical, 0 lines differ
- cto-advisor — 97% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 414 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTO Advisor
Strategic frameworks and tools for technology leadership, team scaling, and engineering excellence.
Keywords
CTO, chief technology officer, technical leadership, tech debt, technical debt, engineering team, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, ADR, architecture decision records, technology strategy, engineering leadership, engineering organization, team structure, hiring plan, technical strategy, vendor evaluation, technology selection
Quick Start
For Technical Debt Assessment
python scripts/tech_debt_analyzer.py
Analyzes system architecture and provides prioritized debt reduction plan.
For Team Scaling Planning
python scripts/team_scaling_calculator.py
Calculates optimal hiring plan and team structure for growth.
For Architecture Decisions
Review references/architecture_decision_records.md for ADR templates and examples.
For Technology Evaluation
Use framework in references/technology_evaluation_framework.md for vendor selection.
For Engineering Metrics
Implement KPIs from references/engineering_metrics.md for team performance tracking.
Core Responsibilities
1. Technology Strategy
Vision & Roadmap
- Define 3-5 year technology vision
- Create quarterly roadmaps
- Align with business strategy
- Communicate to stakeholders
Innovation Management
- Allocate 20% time for innovation
- Run hackathons quarterly
- Evaluate emerging technologies
- Build proof of concepts
Technical Debt Strategy
# Assess current debt
python scripts/tech_debt_analyzer.py
# Allocate capacity
- Critical debt: 40% capacity
- High debt: 25% capacity
- Medium debt: 15% capacity
- Low debt: Ongoing maintenance
2. Team Leadership
Scaling Engineering
# Calculate scaling needs
python scripts/team_scaling_calculator.py
# Key ratios to maintain:
- Manager:Engineer = 1:8
- Senior:Mid:Junior = 3:4:2
- Product:Engineering = 1:10
- QA:Engineering = 1.5:10
What ships with it
5 files 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.
- 6d ago First seen · 414 lines · 92 tokens per session scan A 4d093a539810
cto-advisor is a skill published in the GitHub repository davila7/claude-code-templates (30,576 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 2,177 once invoked, about $0.0005 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 2026-09-03.
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
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creating-superfans-hodak
Apply Brittany Hodak's SUPER Model for customer loyalty, referrals, word of mouth, personalization, service recovery, and scalable customer experience.
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.