How does the skill prevent me from wasting my YouTube API quota on duplicate data?

The skill uses a 'Position Resumption' system backed by a local SQLite database. If a session is interrupted, it tracks exactly where it left off, ensuring you never pay for the same API call or scrape the same comment twice.

What technical environment do I need to run this skill?

VOC Listener Pro is a Python-based utility designed for local or cloud environments. It integrates with the YouTube Data API v3 and offers optional Cloudflare Workers AI support for advanced sentiment scoring.

How does the budget protection feature differ from just prompting an AI to read a transcript?

Unlike standard prompts, this skill includes a built-in 'Estimate' phase. It calculates the projected API unit consumption and time requirements before you commit to the run, giving you full control over your research budget.

What exactly is included in the 'voc listener pro' package?

Your purchase includes the full Python source code for the skill, the SQLite schema for data persistence, and documentation on configuring your API keys and search parameters.

Can I filter for specific types of pain points, or does it just scrape everything?

The skill uses a 'most-promising-first' sorting algorithm combined with keyword filtering to ignore noise. It prioritizes comment threads that exhibit high levels of 'human struggle' indicators before processing the rest.

Does this work with platforms other than YouTube, like Reddit or Twitter?

While the skill currently focuses exclusively on YouTube, it is designed with a modular data layer. Future updates are planned to expand compatibility to other social platforms, and all existing buyers will receive these version updates.

Works with the AI tools you already use

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+18 agents

voc-listener Pro

Turn YouTube comments into voice-of-customer signal — from inside your own AI agent.

$10

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Converts to your local currency at checkout

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voc-listener Pro

Example session with this skill installed

Sweep the 'freelance-pricing' area for new hits using the regex scorer. Limit the spend to 500 units and show me the estimate first.

Read your context and instructions
Compiled the voc-listener pro
Generated the document

I have analyzed the 'freelance-pricing' area. The discovery phase found 12 new videos. The sweep will prioritize those with titles matching your 'pricing' and 'rates' vocabulary.

Estimate:

Discovery: 100 units
Sweep: ~150 units (12 videos, shallow depth)
Wall time: ~2 minutes
Budget: 9,450 units remaining today
Results will stream live. Stop anytime with Ctrl-C.

Sweep Results (freelance-pricing)

Score	Direction	Comment Preview	Video Source
88	pain	"I've been a designer for 3 years but I still feel like I'm guessing every time I send a quote. I'm terrified of overcharging and losing the lead."	`yt.com/watch?v=551`
74	question	"How do you handle clients who ask for a discount on the first invoice? I don't want to seem desperate but I need the work."	`yt.com/watch?v=829`
65	pain	"The hourly rate trap is real. I finished a project in half the time because I'm fast, and ended up making less money for better work."	`yt.com/watch?v=312`
42	mixed	"Switched to value-based pricing last month. It's harder to sell but the margins are finally worth the stress."	`yt.com/watch?v=551`

Next steps

Run inbox --status new to triage these 4 hits.
Execute synthesize to draft the pricing struggle report.
Adjust topic_terms to include "value-based" for more specific hits.

voc-listener-pro.pdf

PDF · document

Generated

Example file from a real run - the skill writes it into your workspace.

Connects securely to your tools. The creator never sees your data.

What you get

Extract raw customer language for high-converting marketing copy.Map competitor weaknesses by analyzing their video comment sections.Generate structured research reports on audience frustrations in any niche.Monitor niche trends by streaming new human struggle hits in real-time.

About this skill

Turn YouTube comments into voice-of-customer signal — from inside your own AI agent.

voc-listener Pro is a portable Python library + agent skill (SKILL.md) that teaches your agent to build its own audience listener: define a question about any niche, sweep YouTube comment threads, and get scored, real-people pain back in minutes — streamed live as JSON.

Two scoring modes:

Regex (default): a zero-inference vocabulary gate. Literally a regex. Free, runs everywhere, no API calls.
Clef (optional): a Cloudflare Workers AI decision model that judges comment relevance per video — with calibrated pre-spend token estimates, per-run token budgets, automatic regex fallback if the budget runs out, a per-run usage ledger, and a prescore event before the first token is spent.

Built for cost discipline: agent-steered focus areas, a daily quota cap with per-run budgets, honest per-area fidelity reporting (tells you when you're spread too thin), and an estimate-first rule — the skill shows the cost before spending a single quota unit.

You bring your own keys. YouTube Data API v3 key (free) and optionally a Cloudflare account. Everything runs in your environment; the seller never sees your credentials. Stdlib-only Python 3.11+, no pip install, 30 files.

License: commercial, one-time payment. Perpetual use for you and all agents operating on their behalf. No redistribution or resale. No DRM, no license server, no phone-home.

Support: dotmakes.things@gmail.com — buyer questions, install help, bug reports.

Honest limits: YouTube only — a deliberate depth-over-breadth choice: YouTube comments are long-form, where people explain why they struggle; short-form platforms don't carry buying-decision reasoning. (Multi-source is on the roadmap, not in v1.) Battle-tested on real product research passes — ADHD audience analysis plus two audience-intelligence dogfoods, with worked examples linked below. One install serves your whole agent fleet: the license covers you and every agent operating on their behalf, and focus areas let one install track multiple questions at once. The Clef token estimator is calibrated on 47 live calls (2026-10-01, ~11% conservative, zero underestimates) and self-corrects from each run's usage ledger — estimates stay conservative by design, with per-run budgets and automatic regex fallback keeping spend safe.

How to install

Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

~30 seconds

1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.

Skills folder by agent

Click the path to copy it. Create the folder if it does not exist yet.

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voc-listener Pro