messaging
Skill459 starsChanged 9 days agoMITView on GitHub
Use when turning settled positioning into the lines other people will reuse: the message hierarchy, value propositions per audience, objection handling, and the proof behind each claim.
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 23
Every claim carries a benefit, the mechanism, and proof.
- Very specific: line 37
Use their words rather than yours.
- Distinctive: line 41
Every real objection deserves a written answer, including the ones where the honest answer is that the product isn't a fit.
“Common” is measured: kept by at least 6 in 10 of the 11 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Messaging
Messaging is positioning made reusable. The test of a good messaging set is not whether it reads well but whether someone else can write a page from it without asking you a question.
Positioning has to be settled first. Writing messaging on unsettled positioning produces lines that contradict each other, and nobody can tell why.
The hierarchy
Three levels, each derived from the one above:
- The core message. One sentence on what the product does and for whom. Everything else has to be consistent with it. This is what a customer should be able to repeat after one visit.
- Three or four pillars. The reasons the core message is true. Each pillar is a benefit, not a feature, and each is separable: if two pillars could be merged, you have too many.
- Proof under each pillar. The feature that delivers it, and the evidence that it works.
Three or four pillars, not seven. A pillar nobody can recall isn't doing any work, and past four they stop being distinct.
Writing a claim
Every claim carries a benefit, the mechanism, and proof. Drop the mechanism and it's a boast; drop the proof and it's unfalsifiable.
- Weak: "Dramatically faster reporting."
- Better: "Reports run in seconds because the query hits a materialized view rather than the live table."
- With proof: "...which took one customer's month-end report from four minutes to nine seconds."
Grade every claim before it ships. proven means there's a named customer, a measured number, or a public doc behind it. plausible means it follows from how the product works but nothing external confirms it. assumption means you believe it and can't show it. Write the grade down. The specialists downstream will assert whatever you hand them, so an ungraded assumption becomes a published claim.
Value propositions per audience
One core message, several audiences. The message doesn't change; the benefit you lead with does, because different people are buying different things.
For each audience, write down what they're accountable for, what they lose today, the pillar that matters most to them, and the objection they raise. An economic buyer and a hands-on user get different leads even when the product is identical.
Use their words rather than yours. A phrase lifted from a customer interview or a review consistently beats one written internally, and customer-research is how you get them.
Objections
Every real objection deserves a written answer, including the ones where the honest answer is that the product isn't a fit. A messaging set with no uncomfortable objections in it hasn't been near a customer.
For each: what they actually say, what's underneath it, the honest response, and the proof. When the objection is correct, say who should not buy. That's more persuasive than a deflection and it stops the sales conversations you'd lose anyway.
What good output looks like
Structured enough that a writer can pull from it: the core message, the pillars with their proof and grade, a value proposition per audience, the objections with answers, and the words to use and avoid. references/hierarchy.md has the formats.
Include the anti-list. Naming the phrases that are off-limits, the competitor comparisons you won't make, and the claims you can't yet support saves more downstream trouble than any amount of approved copy.
Handing off
The other specialists write the deliverables. Give them the lines, the proof, and the grades; don't draft their pages. When a claim is graded assumption, say so in the handoff, because the difference between "we're faster" and "we believe we're faster and haven't measured it" decides whether a writer hedges.
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- Resgrid/Core★ 229same name
- matteotitta/claude-code-marketing-quickstart★ 70same name
- matteotitta/repo-structure-in-house★ 70same name
- joelhooks/joelclaw★ 64same name
- crisandrews/ClawCode★ 63same name
- GTMify/aigtm★ 25same name
- epode-studio/crosstalk★ 8same name
- fullymiddleaged/Clawness★ 5same name
- pluginagentmarketplace/custom-plugin-backend★ 4same name
- buildingwithai/skills★ 1same name
4 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
Used alongsideProjects with it also use testing.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
NVIDIASkilltesting
Run Python and Rust tests for physicsnemo-curator using uv + pytest with coverage reporting via pytest-cov, and cargo-nextest for Rust tests. Includes benchmark workflows with pytest-benchmark and criterion.
Also in 3 projects that use this
In this repository21 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- blog-styleSkill
- content-editingSkill
- content-planningSkill
- deliverabilitySkill
- email-adaptationSkill
- email-styleSkill
- resend-buildSkill
- brand-contextSkill
- customer-researchSkill
- positioningSkill
- programmatic-seoSkill
- schemaSkill
- seo-auditSkill
- site-architectureSkill
- bluesky-styleSkill
- linkedin-styleSkill
- mastodon-styleSkill
- threads-styleSkill
- x-styleSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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