Agent skill

proof-point-packager

Use when the user asks to "package our proof points", "build reusable stat cards and case snippets", or "put proof where each pillar makes its claim"; turns claims-ledger-approved proofs into reusable proof modules — stat cards, case snippets, testimonial blocks, comparison proofs — each pinned to a message-house pillar and the ledger claim ID it substantiates, and flags any pillar making a claim with no approved proof behind it. Never adjudicates a proof: unverified or ledger-absent proofs are marked ''[needs source]'' and routed to the claims candidates. Not for adjudicating or substantiatin

aaron-he-zhu2,508★ · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill proof-point-packager --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/land/proof-point-packager/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

# Proof Point Packager Turns claims-ledger-approved proofs into reusable **proof modules** — stat cards, case snippets, testimonial blocks, and comparison proofs — each pinned to a message-house pillar and to the ledger claim ID it substantiates, then flags every pillar that makes a claim with no approved proof behind it. It sits in the **Land** phase of the TALE loop and feeds two dimensions in [tale-benchmark.md](../../../references/tale-benchmark.md): `E` (*proof-point assets exist for each pillar — case, benchmark, demo, or testimonial the user has rights to*) and `L` (*proof points are placed where the claim is made — no claim on a surface without its proof*). It is a supplier to the `E1` evidence-integrity discipline downstream, never its adjudicator: it packages only what the ledger already approved and refuses to invent proof. **Scope guard**: this skill packages existing approved proof only. It does **not** adjudicate or substantiate a claim ([offer-claims-registry](../../../protocol/offer-claims-registry/SKILL.md) is the sole writer of `memory/claims/claims-ledger.md` — unverified proofs are marked `[needs source]` and routed to `memory/events/claims.ndjson` via an author

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Data Sources
  5. Instructions
  6. Save Results
  7. Reference Materials
  8. Next Best Skill
More from aaron-marketing-skills
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About this skill
What does the proof-point-packager skill do?

Use when the user asks to "package our proof points", "build reusable stat cards and case snippets", or "put proof where each pillar makes its claim"; turns claims-ledger-approved proofs into reusable proof modules — stat cards, case snippets, testimonial blocks, comparison proofs — each pinned to a message-house pillar and the ledger claim ID it substantiates, and flags any pillar making a claim with no approved proof behind it. Never adjudicates a proof: unverified or ledger-absent proofs are marked ''[needs source]'' and routed to the claims candidates. Not for adjudicating or substantiatin

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill proof-point-packager --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.

Keep going