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 matteotitta/genesys-skills --skill youtube-strategygit clone --depth 1 https://github.com/matteotitta/genesys-skillsWrote 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/matteotitta/genesys-skills/youtube-strategy)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/youtube-strategy"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/youtube-strategy/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/matteotitta/genesys-skills/youtube-strategy"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/youtube-strategy.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00026 | $0.01737 |
| Opus 5 | $0.00013 | $0.00869 |
| Sonnet 5 | $0.00005 | $0.00347 |
| Haiku 4.5 | $0.00003 | $0.00174 |
Grade A, and why
youtube-strategy 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
YouTube Strategy
Generate a YouTube channel launch strategy for B2B SaaS operators. Output is a deck-style markdown document with keyword demand research, competitor segmentation, gap analysis, 6 video ideas, case-study / testimonial framework, and a Month-1 plan. Feeds into youtube-scripts for per-video production.
For full process, frameworks, and MCP integration → the premium reference.
Research Substrate (Exa)
Default: Exa per .claude/rules/exa-protocol.md.
Primary tools: web_search_exa for competitor channel + keyword research.
Tool surface during migration: prefer mcp__plugin_exa_exa__web_search_exa (after claude plugin i exa@claude-plugins-official); legacy mcp__exa__web_search_exa still mounted.
Citation: every claim uses [VERIFIED: exa_search, {url}, accessed {YYYY-MM-DD}] per .claude/rules/ontology.md.
Quality gate: ≥3 sources per major claim, ≥50% [VERIFIED], date filter for any "recent / latest" claim.
Claude Code Triggers
Invoke when user says:
- "YouTube strategy for [company]"
- "Plan my YouTube channel"
- "What videos should I make on YouTube"
- "YouTube channel strategy / plan / launch plan"
- "Help me start a YouTube channel"
- "What's the opportunity on YouTube"
- "YouTube keyword research + video ideas"
Do NOT invoke when:
- User wants individual YouTube script → use
youtube-scripts - User wants LinkedIn video content → use
linkedin-content - User wants multi-channel content strategy → use
content-strategy - User wants content calendar / execution → use
content-operations
Input Requirements
Client context (auto-loaded)
If working on a client project, client CLAUDE.md is auto-loaded. Pull positioning from knowledge/positioning.md and ICP from knowledge/icp-definition.md.
Required
| Input | Description | Source |
|---|---|---|
| Positioning statement | 1-2 sentence who-you-are + what-you-do | knowledge/positioning.md or user |
| ICP definition | Who the channel targets | knowledge/icp-definition.md or user |
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 · 179 lines · 154 tokens per session scan A 31b76918e70c
youtube-strategy is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 1,737 once invoked, about $0.0001 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
gingiris-b2b-growth
🇺🇸 B2B SaaS Growth — PLG vs SLG Playbook — Diagnose whether your problem is distribution, pricing, or PMF. PLG/SLG selection by ACV and sales cycle, the 5-stage path from $0 to $10M ARR, NRR discipline, affiliate & channel motion, enterprise tiering. Built from HeyGen, Deel, Vercel, Supabase, Snowflake patterns.…
gr-b2b-growth
A guide to growing a business-to-business software product from early user research to large-scale sales. B2B software is sold to companies rather than individual consumers.
go-to-market-playbook
A reusable Go-to-Market strategy template for both B2B and B2C launches. Covers positioning, messaging, ICP definition, channel selection, and competitive analysis frameworks. By @WeiYipei.
gingiris-go-global
🇺🇸 AI Product / SaaS Go-Global Complete SOP — From competitor research to launch to monetization. A full-cycle playbook covering Phase 0-5 (market validation, positioning, first 100 users, user interviews, beta-to-growth) plus open-source launch, Product Hunt, Reddit, SEO/GEO, conversion, and org principles.…
gr-competitor-research
Your competitor just launched. You have no idea how they grew so fast. Should you reverse-engineer their website? Track their social media? Map their growth flywheel? This gives you the complete SOP — from Wayback Machine snapshots to X/Twitter propagation analysis to growth flywheel scoring. Built from 150+ AI…
ai-launch-playbook
Launch your AI product to global attention — the playbook behind Manus, Devin, and AFFiNE's breakout launches. Covers AI-specific GTM strategy, hype cycle management, waitlist tactics, and multi-market rollout for maximum day-one impact.