Agent skill · Design & Presentation

positioning-truth-tracer

Use when the user asks to "check our positioning against what we can actually ship", "trace which differentiators we can defend", or "reconcile the positioning canvas with the claims ledger"; reconciles the reused positioning canvas against the shippable stage and the claims ledger to produce a differentiation truth set — every differentiating claim verifiable or marked ''[needs source]'' — that TALE-T1 is judged against. Not for building the canvas — use positioning-mapper; not for adjudicating claims — use offer-claims-registry; not for authoring the message house — use message-system-archit

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill positioning-truth-tracer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: narrative/trace/positioning-truth-tracer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Positioning Truth Tracer Reconciles the reused positioning canvas against two truth surfaces — what the product can actually ship (the stage record) and what the claims ledger has substantiated — to produce the **differentiation truth set**: the set of differentiators the brand can defend today, each labeled Measured / User-provided / `[needs source]`. It is the fourth Trace-phase move of the TALE loop and the upstream of the `T1` differentiation-integrity veto: the onlyness/difference statement must hold against named alternatives *and* rest only on claims that are in the ledger or explicitly flagged — never asserted as fact. See [tale-benchmark.md](../../../references/tale-benchmark.md) for the `T` sub-items this feeds (positioning matches shippable reality, every differentiating claim verifiable or `[needs source]`, aspirational framing separated from claimed fact) and the `T1` veto text. **Scope guard**: this skill traces truth, it does not create positioning, adjudicate claims, or author messaging. It does **not** build the positioning canvas ([positioning-mapper](../../../launch/research/positioning-mapper/SKILL.md) is the sole upstream — if the canvas is missing, route the

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  2. Skill Contract
  3. Handoff Summary
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About this skill
What does the positioning-truth-tracer skill do?

Use when the user asks to "check our positioning against what we can actually ship", "trace which differentiators we can defend", or "reconcile the positioning canvas with the claims ledger"; reconciles the reused positioning canvas against the shippable stage and the claims ledger to produce a differentiation truth set — every differentiating claim verifiable or marked ''[needs source]'' — that TALE-T1 is judged against. Not for building the canvas — use positioning-mapper; not for adjudicating claims — use offer-claims-registry; not for authoring the message house — use message-system-archit

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill positioning-truth-tracer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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