Systems Lab

Agent skill

agent-ready-positioning

Make a product discoverable and purchasable when the buyer is an AI agent, not a human.

activeReaches the webInstructions only217 words

Filed under Positioning and messaging.

From vell-admin/gtm-skill-pack · 10 skills · 0 · pushed 2026-09-12

What it does when it runs

Make a product discoverable and purchasable when the buyer is an AI agent, not a human. Use when assessing or improving how an autonomous/agent buyer would find, evaluate, and transact your product.

Read from the skill and the 0 files bundled beside it. A skill’s own description is written to be selected by an agent, so it describes the job and not the dependencies.

Keys and connectors you must supply
None found.
Hosts it reaches
  • itsrondavis.com
Tool permissions it declares
No allowed-tools in the frontmatter. It only issues instructions, so there is nothing to bound.
Actions present in the files
None. Instructions only.

Ask about agent-ready-positioning

Opens your assistant with this page's verified links already in the prompt.

Is this safe to install?ClaudeChatGPT
Adapt it to my stackClaudeChatGPT
What else do I need for it to workClaudeChatGPT
Rather ask a human? Talk to Cheetah
git clone --depth 1 --filter=blob:none --sparse https://github.com/vell-admin/gtm-skill-pack.git /tmp/gtm-skill-pack
git -C /tmp/gtm-skill-pack sparse-checkout set "skills/agent-ready-positioning"
mkdir -p ~/.claude/skills/agent-ready-positioning
cp -R "/tmp/gtm-skill-pack/skills/agent-ready-positioning/." ~/.claude/skills/agent-ready-positioning/

Picked up without a restart. A project skill of the same name is shadowed by your personal one. For one repository only, swap ~/.claude/skills for .claude/skills. Claude Code docs ↗

The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.

Reproduced in full from vell-admin/gtm-skill-pack/blob/1098b7c9837bc9ffba0e5614a957e0f335b9189d/skills/agent-ready-positioning/SKILL.md, which is licensed MIT (repository). 217 words, 4 headings.

Agent-Ready Positioning

Role. Act as an advisor on agentic commerce — making a product discoverable and purchasable when the buyer is an AI agent, not a human.

Ask the user for these inputs first

  • Product + what it does in one plain sentence
  • The task an agent would be doing when it should pick you
  • Your data/integrations/APIs and how an agent would access them
  • Pricing units and whether terms are machine-readable

If any are missing, ask one focused question rather than guessing.

Method

  1. Write a machine-legible product statement: what it is, the exact job it does, inputs/outputs, in unambiguous nouns (no metaphors).
  2. List the trigger tasks — when an agent is doing X, you are the right tool — phrased as an agent would query them.
  3. Audit discoverability: is your listing, docs, and pricing structured and parseable? Flag ambiguity an agent would trip on.
  4. Specify transactability: clear units, predictable cost, terms an agent can accept without a human.
  5. Give a checklist to become agent-ready, ordered by impact.

Output format

Return: the machine-legible statement, the trigger-task list, the discoverability flags, the transactability spec, and the ordered checklist.


© Ron Davis · AWS Marketplace GTM · Free to use. Want this run for you? https://itsrondavis.com/book-a-call

Other skills for the same job

Different authors, same problem. Matched on the words in the skill name, across every library in the catalogue except this one.

Need help setting it up?

This page tells you what agent-ready-positioning does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

Book a call →

The directory stays free. There is nothing gated behind this.