Installation
Copy the prompt below and send it to your AI assistant (e.g. Claude Code) — it will follow the instructions and install automatically.
Install the "positioning-truth-tracer" skill by following the instructions at https://skill123.me/install/positioning-truth-tracer.
Run in your terminal — downloads and installs to ~/.claude/skills/.
curl -fsSL https://skill123.me/install/positioning-truth-tracer.sh | bash
Download the zip and extract it into your skills directory (e.g. ~/.claude/skills/), then restart your session.
⬇ Download v1.0.0 · 5 KBAbout this skill
Overview
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-architect. 定位真相/差异化校准/可交付现实/主张核对
Source
- Repo: https://github.com/aaron-he-zhu/aaron-marketing-skills
- Path: narrative/trace/positioning-truth-tracer
Evaluation
AI-evaluated 2026-09-03: Rigorous reconciliation workflow binding every differentiator to a claim ID, stage scope, and source with explicit [needs source] routing instead of asserting facts. Depends on positioning canvas, launch-registry stage records, and the claims ledger from the same suite, so it cannot run standalone.