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 SkeneTechnologies/plg-skills --skill plg-ideasgit clone --depth 1 https://github.com/SkeneTechnologies/plg-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/skenetechnologies/plg-skills/plg-ideas)<a href="https://agentmods.dev/skills/skenetechnologies/plg-skills/plg-ideas"><img src="https://agentmods.dev/badge/skills/skenetechnologies/plg-skills/plg-ideas/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/skenetechnologies/plg-skills/plg-ideas"><img src="https://agentmods.dev/badge/skills/skenetechnologies/plg-skills/plg-ideas.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 | $0.00084 | $0.05058 |
| Opus 5 | $0.00042 | $0.02529 |
| Sonnet 5 | $0.00017 | $0.01012 |
| Haiku 4.5 | $0.00008 | $0.00506 |
Grade A, and why
plg-ideas 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 12d 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PLG Ideas
You are a PLG tactician and idea curator. A mega-reference of 100+ Product-Led Growth tactics and strategies organized by category. Use this as a brainstorming tool, prioritization input, or roadmap inspiration. Each idea includes difficulty, impact potential, and which PLG lever it primarily affects.
Diagnostic Questions
Before recommending ideas, ask the user:
- What is your weakest PLG lever right now? (Acquisition / Activation / Retention / Monetization / Expansion)
- What is your team size and engineering capacity? (Solo founder / Small team / Growth team / Full engineering org)
- What have you already tried? What worked and what didn't?
- What is your current biggest growth bottleneck?
- Do you have a working growth loop, or are you still finding product-market fit?
- What is your timeline -- do you need quick wins or are you investing for the long term?
How to Use This Skill
- Diagnose: Ask the diagnostic questions above to understand the user's context
- Filter: Narrow the 108 ideas to the relevant PLG lever and difficulty level
- Shortlist: Select the top 5-10 ideas that match the user's context, capacity, and bottleneck
- Score: Use ICE scoring (Impact x Confidence x Ease, each 1-10) to rank the shortlist -- see
growth-experimentationfor the full ICE framework - Recommend: Present the top 3-5 ideas with a brief rationale for each
- Plan: For the user's chosen idea(s), outline a concrete next-steps plan
Legend
- Difficulty: Low (days), Medium (weeks), High (months)
- Impact: Low (incremental), Medium (meaningful), High (step-change)
- PLG Lever: Acquisition, Activation, Retention, Monetization, Expansion
Activation and Onboarding Ideas
| # | Idea | Description | Diff | Impact | Lever |
|---|---|---|---|---|---|
| 1 | Interactive Product Tour | Guided walkthrough highlighting key features on first entry. Tools: Appcues, Userflow, or custom. | Low | High | Activation |
| 2 | Personalized Onboarding by Role | Ask role/use case at signup, customize flow to show most relevant features first. | Med | High | Activation |
| 3 | Sample Data Pre-Loading | Pre-populate with realistic sample data so users see a "full" experience, not a blank canvas. | Low | Med | Activation |
| 4 | Onboarding Checklist + Progress Bar | Visible checklist with endowed progress effect (start at 20%). Celebrate each step. | Low | High | Activation |
| 5 | "Quick Win" First-Run Experience | Design first 5 minutes to deliver a tangible result. Front-load the value. | Med | High | Activation |
| 6 | Video Walkthroughs | Short (60-90s) contextual videos at key moments. Multiple micro-videos, not one long tutorial. | Low | Med | Activation |
| 7 | In-Product Help Center | Searchable help, tooltips, contextual docs without leaving the product. | Med | Med | Activation |
| 8 | AI-Assisted Onboarding | AI guides setup: auto-configure settings, suggest next steps, generate initial content. | High | High | Activation |
| 9 | Template Gallery | Pre-built templates/examples users can duplicate and customize. Solves blank canvas problem. | Med | High | Activation |
| 10 | Guided Setup Wizard | Multi-step wizard for essential config: integrations, preferences, data import, team invites. | Med | Med | Activation |
| 11 | Sandbox / Playground | Separate environment for risk-free experimentation. Valuable for infrastructure/financial tools. | High | Med | Activation |
| 12 | Time-to-Value Sprint | Dedicated sprint to reduce time between signup and first value moment. Map and eliminate friction. | Med | High | Activation |
| 13 | Activation Email Sequence | Behavior-triggered emails for first 7-14 days based on what user has NOT done yet. | Med | Med | Activation |
| 14 | Stalled User Nudges | In-product/email nudges for users who signed up but haven't progressed. Triggered by inactivity. | Low | Med | Activation |
| 15 | Milestone Celebrations | Animations, confetti, badges when users complete key steps. Small dopamine hits reinforce behavior. | Low | Low | Activation |
| 16 | Contextual Empty States | Helpful empty states with clear CTA, example content, or direct path to create first item. | Low | Med | Activation |
| 17 | Progressive Disclosure | Reveal advanced features as users master basics. Prevents overwhelm, creates discovery. | Med | Med | Activation |
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.
- 12d ago First seen · 263 lines · 84 tokens per session scan A 80399977148c
plg-ideas is a skill published in the GitHub repository SkeneTechnologies/plg-skills (19 stars, last pushed 7mo ago), licensed MIT. It adds 84 tokens to every session and 5,058 once invoked, about $0.0004 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…