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 brainbytes-dev/everything-claude-marketing --skill plg-strategiesgit clone --depth 1 https://github.com/brainbytes-dev/everything-claude-marketingWrote 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/brainbytes-dev/everything-claude-marketing/plg-strategies)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/plg-strategies"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/plg-strategies/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/brainbytes-dev/everything-claude-marketing/plg-strategies"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-claude-marketing/plg-strategies.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00031 | $0.03349 |
| Opus 5.5 | $0.00012 | $0.01340 |
| Sonnet 5.5 | $0.00006 | $0.00670 |
| Haiku 4.5 | $0.00003 | $0.00335 |
Grade A, and why
plg-strategies 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 2mo 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 — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product-Led Growth (PLG) Strategies
When to Activate
- Building a self-serve acquisition motion for a SaaS product
- Designing freemium or free trial experiences
- Optimizing user activation and time-to-value
- Building in-product upsell and expansion triggers
- Defining product-qualified leads (PQLs) for sales handoff
- Evaluating PLG vs. sales-led vs. hybrid go-to-market approach
- Diagnosing poor trial-to-paid conversion rates
First Questions
- What is your current GTM motion? (Sales-led, PLG, hybrid, channel)
- Can users experience core product value without talking to sales?
- What is your product's natural time-to-value? (Minutes, hours, days, weeks)
- Who is the end user vs. the buyer? (Same person, or user adopts then buyer approves?)
- What is your pricing model? (Per seat, usage-based, flat rate, tiered)
- What does your current trial/freemium experience look like?
- What is your trial-to-paid conversion rate? (Benchmark: 2-5% freemium, 15-25% free trial)
PLG Fundamentals
What PLG Is
Product-led growth means the product itself is the primary driver of acquisition, activation, retention, and expansion. Users discover, try, adopt, and pay for the product through self-serve experiences.
What PLG Is Not
- Not "no sales team." Most successful PLG companies have sales (PLG + sales-assist).
- Not "make it free and they will come." Freemium without a conversion strategy is just free.
- Not only for simple products. Complex products can be PLG with the right onboarding design.
PLG Prerequisites
Your product should have most of these characteristics:
- Users can experience value without human assistance.
- The product solves a problem users actively search for solutions to.
- Individual users can adopt without organization-wide approval.
- Usage naturally expands to more users or more features over time.
- The product can be tried in a low-commitment way (free tier, trial, sandbox).
PLG Models
Free Trial
Users get full (or near-full) product access for a limited time (7, 14, or 30 days).
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.
- 2mo ago First seen · 314 lines · 31 tokens per session scan A d97e5cb57c40
plg-strategies is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 3,349 once invoked, about $0.0001 per session on Opus 5.5. 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.
plg-strategies compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| plg-strategiesbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 31 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
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| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
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| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |