Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Write a developer value proposition that is specific, provable, and free of puffery. Use when the messaging leans on "powerful," "better," "seamless," or "best-in-class," when claims have no proof, or when the same line is supposed to reach both the developer and the buyer.
.claude/skills/aidevgtm-value-prop-that-converts/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 69% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 57% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 43% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 49% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 11% | 0% |
> "Better" is sloppy thinking. Better how, along what dimension, by how much, proven by whom? Developers test every claim you make. Give them numbers or give them nothing.
Use this when: your value prop contains puffery, your claims aren't attributed, or you're trying to make one sentence do the job of two audiences.
Developers have a finely tuned BS detector and they will verify you. Specificity is credibility. Every strong dev value prop is: specific + provable + spoken in their language.
A complete value prop answers all three, fast:
who-is-this-for).Headline = what is it. Subhead = for whom / what job. For dev tools, weight the how over the why. Developers often already know why they hurt.
| Banned | Why devs discount it | Replace with | |---|---|---| | Powerful | everyone claims it | the specific thing it does | | Easy to use | they'll test it in 60s | time-to-value with a number | | Best-in-class | says who, by what metric | the source or the number | | Seamless integration | unprovable in the abstract | named integrations + logos | | Industry-leading | says nothing | real share / user counts | | Platform | hears: integration headache | the one job it does | | Revolutionary / cutting-edge | pure air | name the actual technology |
your claim < a demo < a benchmark you ran < a named user's attributed resultSpend your effort at the right end.
Built from real dev-tool GTM experience, with frameworks from Adam Frankl (The Developer-Facing Startup) and Jakub Czakon (markepear.dev). When a framework can't make the call, that's what a human is for: The DevTool GTM Company.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 15,838 | 14,788 | -7% | 1 | 1 | 0% | 2,277 | 3,159 | +39% | 0 | 0 | — |
case-02 | fail→fail | 17,180 | 14,658 | -15% | 1 | 1 | 0% | 2,673 | 2,921 | +9% | 0 | 0 | — |
case-03 | fail→fail | 11,438 | 13,101 | +15% | 1 | 1 | 0% | 1,767 | 2,926 | +66% | 0 | 0 | — |
case-04 | pass→pass | 18,636 | 15,529 | -17% | 1 | 1 | 0% | 2,670 | 3,142 | +18% | 0 | 0 | — |
case-05 | pass→pass | 19,313 | 17,697 | -8% | 1 | 1 | 0% | 2,981 | 3,608 | +21% | 0 | 0 | — |
case-06 | pass→pass | 20,972 | 18,237 | -13% | 1 | 1 | 0% | 2,881 | 3,439 | +19% | 0 | 0 | — |
case-07 | fail→pass | 11,364 | 10,967 | -3% | 1 | 1 | 0% | 1,545 | 2,606 | +69% | 0 | 0 | — |
case-08 | fail→pass | 12,997 | 14,442 | +11% | 1 | 1 | 0% | 1,923 | 3,026 | +57% | 0 | 0 | — |
case-09 | pass→pass | 11,930 | 11,707 | -2% | 1 | 1 | 0% | 1,952 | 2,571 | +32% | 0 | 0 | — |
case-10 | pass→pass | 12,990 | 10,638 | -18% | 1 | 1 | 0% | 1,819 | 2,360 | +30% | 0 | 0 | — |
case-11 | fail→pass | 15,831 | 14,060 | -11% | 1 | 1 | 0% | 2,061 | 2,956 | +43% | 0 | 0 | — |
case-12 | fail→fail | 13,726 | 11,090 | -19% | 1 | 1 | 0% | 2,043 | 2,576 | +26% | 0 | 0 | — |
case-13 | fail→pass | 11,260 | 11,299 | +0% | 1 | 1 | 0% | 1,722 | 2,563 | +49% | 0 | 0 | — |
case-14 | fail→fail | 16,631 | 14,486 | -13% | 1 | 1 | 0% | 2,225 | 3,091 | +39% | 0 | 0 | — |
case-15 | pass→pass | 17,754 | 10,966 | -38% | 1 | 1 | 0% | 2,189 | 2,577 | +18% | 0 | 0 | — |
case-16 | fail→pass | 14,301 | 10,622 | -26% | 1 | 1 | 0% | 2,186 | 2,430 | +11% | 0 | 0 | — |
case-17 | fail→fail | 10,331 | 11,507 | +11% | 1 | 1 | 0% | 1,576 | 2,770 | +76% | 0 | 0 | — |
case-18 | pass→pass | 16,514 | 13,018 | -21% | 1 | 1 | 0% | 2,210 | 2,895 | +31% | 0 | 0 | — |
case-19 | pass→pass | 13,969 | 11,300 | -19% | 1 | 1 | 0% | 2,023 | 2,659 | +31% | 0 | 0 | — |
case-20 | fail→pass | 14,883 | 12,058 | -19% | 1 | 1 | 0% | 2,053 | 2,834 | +38% | 0 | 0 | — |
case-21 | pass→pass | 12,717 | 11,345 | -11% | 1 | 1 | 0% | 1,889 | 2,784 | +47% | 0 | 0 | — |
case-22 | fail→fail | 13,927 | 14,163 | +2% | 1 | 1 | 0% | 2,074 | 3,075 | +48% | 0 | 0 | — |
case-23 | pass→pass | 11,206 | 12,937 | +15% | 1 | 1 | 0% | 1,781 | 2,662 | +49% | 0 | 0 | — |
case-24 | fail→pass | 14,035 | 11,269 | -20% | 1 | 1 | 0% | 1,874 | 2,534 | +35% | 0 | 0 | — |
case-25 | fail→pass | 9,729 | 10,230 | +5% | 1 | 1 | 0% | 1,484 | 2,651 | +79% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 25 cases were attempted. The headline lift of +32 percentage points is the difference between those two pass rates over the 25 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.