Stop Saying 'Better': Developer Value Props That Convert

Where this fits

A developer lands on your API page and reads our platform is powerful and seamless. Their next move is to search for a benchmark or close the tab. This skill is for that moment: when a value prop is vague, unproven, or forced to serve both developers and buyers. It fits the research step of a GTM workflow by turning every claim into a testable statement before copy gets written.

Why agents benefit

• It scans existing copy for puffery terms such as powerful, better, seamless, and best-in-class.
• It converts vague claims into a structured proof gap: what dimension, what baseline, by how much, from which source.
• It separates two kinds of developer time: build-cycle time saved and production-operations time saved.
• It produces rewrite candidates that are specific and attributed, not just more stylish.
• It makes the agent act like a demanding reviewer instead of a yes-writing assistant.

Practical scenarios

API launch page says fast and reliable

The skill flags fast and reliable as unproven and asks for latency percentiles, error budget, and the test source. The rewrite becomes: p95 latency 110ms, 99.99% uptime over 90 days, measured with Grafana.

Benchmark instead of better than X

A dev tool wants to claim superiority without overselling. The skill substitutes better with a specific comparison: 3x faster builds than in-process Redis on AWS Graviton, plus a link to a public benchmark.

One line for developers and buyers

The same sentence must convince an engineer and an exec. The skill keeps the concrete metric and adds a business outcome: Cuts CI costs 40% while keeping test runs under 5 minutes. That survives scrutiny from both.

Add it to your agent workflow

Install the skill from the GTM Cofounder collection:

npx skills add AIDevGTM/gtm-cofounder --skill value-prop-that-converts

Then ask the agent to audit a current draft:

Draft: Our toolkit is powerful and seamless.
Task: Apply value-prop-that-converts, then list the missing evidence.

The agent will demand a comparison class, a measurement, and a source. The rewritten value prop becomes a testable claim, not a slogan.

Compare before adopting

• Quality signals: the skill is useful if it includes rules and examples, not just a list of banned words. Here, the value-prop rules are opinionated and concrete.
• Maintenance freshness: GTM messaging changes; a good skill should be updated with current platform patterns and benchmarks.
• Alternatives: an in-context prompt, a manual copy-review checklist, or a different messaging skill. Use the comparison to decide whether you want a research layer or just a text formatter.
• Workflow fit: this skill asks prove it and structures the missing evidence. If your content workflow does not include a proof requirement, adopt it alongside a research or benchmarking step.

Why it is worth tracking

This skill encodes the behavior developers expect: no empty superlatives, no vague time savings, no one sentence trying to mean two different things to two audiences. It comes from the GTM Cofounder repo with 263 stars, which shows community momentum, and the skill is small enough to read and adapt. Track it because developer-tool copy is becoming a research discipline, and this is a promptable version of that discipline. For more curated agent skills in the same category, see https://www.openagentskill.com/skills/aidevgtm-value-prop-that-converts.