Systems Lab

Agent skill

personalize-ai-column

Configure and preview the kit's generated first-touch callable using cited row evidence, a frozen experiment and an explicit credit ceiling.

activeSelf-containedInstructions only187 words

Filed under Positioning and messaging.

From timscheuerai/gtm-architecture-template · 51 skill entries · 13 · pushed 2026-09-17

What it does when it runs

Configure and preview the kit's generated first-touch callable using cited row evidence, a frozen experiment and an explicit credit ceiling.

Automated analysis of 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
No third-party host appears in the skill or its bundled files.
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 personalize-ai-column

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Is this safe to install?ClaudeChatGPT
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Install it

View source on GitHub ↗
git clone --depth 1 --filter=blob:none --sparse https://github.com/timscheuerai/gtm-architecture-template.git /tmp/gtm-architecture-template
git -C /tmp/gtm-architecture-template sparse-checkout set ".agents/skills/personalize-ai-column"
mkdir -p ~/.claude/skills/personalize-ai-column
cp -R "/tmp/gtm-architecture-template/.agents/skills/personalize-ai-column/." ~/.claude/skills/personalize-ai-column/

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.

The skill

Source on GitHub ↗

Reproduced in full from timscheuerai/gtm-architecture-template/blob/2c312c9398064ad3730c786647293458cb89632c/.agents/skills/personalize-ai-column/SKILL.md, which is licensed MIT (repository). 187 words, 1 heading.

Generate grounded copy per row

Read the runtime contract, composition, functions/generate_first_touch/function.json and its prompt.

Use the installed generate_first_touch callable as the default implementation. Map company_evidence, person_evidence, scoring_reasons, offer and the assigned copy/test metadata from the actual working table. A prompt filename does not automatically load external sources; evidence must be in the mapped inputs.

Use npm run example -- --function generate_first_touch only for synthetic fixture rows. Use npm run preview -- --function generate_first_touch to inspect rendering and estimated cost. For a real caller table, follow the exact binding example and preview that table's chosen row.

Check missing facts, unresolved merge tags, invented observations, stale titles and whether the output respects the assigned variant. Thin evidence should create an explicit hold or a clearly qualified draft; do not invent a personal detail.

A dry run renders and estimates; it does not demonstrate model output quality. Run a live sample only within the user's authorized row set and credit cap. Report actual run status and cost separately from estimates. Review the sample before scaling, then hand off to prepare_sequence. No fixed provider price or BYOK saving is assumed.

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 personalize-ai-column does and what it needs. Cheetah builds the agent setup it runs inside: data, CRM, sequencing and the guardrails.

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