Agent skill

Enrichment Design

by extruct-ai in extruct-ai/gtm-skills

Design enrichment columns that bridge research hypotheses to list enrichment.

No licenceAuto-check passedMarketing & SEO

Install Enrichment Design

skills CLI
$ npx skills add extruct-ai/gtm-skills --skill enrichment-design -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install extruct-ai/gtm-skills enrichment-design --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/enrichment-design .claude/skills/enrichment-design && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
enrichment-design
GitHub stars
109
Token cost
~1.3k tokens
SKILL.md length
543 words
Files
2 (incl. references)
Skills in repo
20
Repo updated
First seen
Licence
None found

At a glance

Design enrichment columns that bridge research hypotheses to list enrichment.

  • Works in 4 steps: Read the hypothesis set → For each hypothesis, propose 1-2 columns… → Discuss with user — refine, add, remove → …
  • Enrichment columns
  • SKILL.md covers When to Use, Two Modes, Interactive Column Design and Column Design Guidelines, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Enrichment Design is an agent skill from extruct-ai/gtm-skills. Design enrichment columns that bridge research hypotheses to list enrichment. Two modes: segmentation (columns that score hypothesis fit per company) and personalization (columns for company-specific hooks). Interactive column design with the user. Outputs ready-to-run columnconfigs for list-enrichment. Triggers on: "data points", "enrichment columns", "column design", "what to research", "data point builder", "build columns", "segmentation columns", "personalization columns".

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/data-point-library.md`).

It sits in Marketing & SEO.

When your agent uses it

  • Enrichment columns
  • What to research
  • Data point builder
  • Segmentation columns

Example prompts

  • “data points”
  • “enrichment columns”
  • “column design”
  • “/enrichment-design”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read the hypothesis set
  2. For each hypothesis, propose 1-2 columns that would confirm or deny fit
  3. Discuss with user — refine, add, remove
  4. Output final column_configs

What it can do on your machine

Read from SKILL.md and the folder at commit 34406cb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Enrichment Design loads about 1.3k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 125 tokens; SKILL.md has 543 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~125
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 543 words (~1,268 tokens).

“Bridge the gap between research hypotheses and table enrichment. Define WHAT to research about each company before running enrichment.”

— opening of SKILL.md by extruct-ai
name
enrichment-design

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (references) in skills/enrichment-design of extruct-ai/gtm-skills.

  • SKILL.md
  • references/data-point-library.md

Open the folder on GitHubat commit 34406cb

Compare with similar skills

Enrichment Design next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Enrichment Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Enrichment Design this skillextruct-ai/gtm-skills109—~1.3kAutomated safety check: PassNone
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
Ab Testingcoreyhaines31/marketingskills54k3 repos~3.1kAutomated safety check: PassMIT
Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Enrichment Design

What does Enrichment Design do?

Design enrichment columns that bridge research hypotheses to list enrichment. Enrichment Design is an agent skill from extruct-ai/gtm-skills. Design enrichment columns that bridge research hypotheses to list enrichment.

When should I use Enrichment Design?

Enrichment Design fits situations like: enrichment columns; what to research; data point builder; segmentation columns.

How do I install Enrichment Design in Claude Code?

Run `npx skills add extruct-ai/gtm-skills --skill enrichment-design -a claude-code`. Or copy the skill folder (skills/enrichment-design in extruct-ai/gtm-skills) into .claude/skills/enrichment-design in your project. Claude Code loads it when a task matches its description.

How do I install Enrichment Design in Codex?

Run `npx skills add extruct-ai/gtm-skills --skill enrichment-design -a codex`. Or copy the skill folder (skills/enrichment-design in extruct-ai/gtm-skills) into .agents/skills/enrichment-design in your project. Codex loads it when a task matches its description.

Can I use Enrichment Design in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add extruct-ai/gtm-skills --skill enrichment-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enrichment-design, .gemini/skills/enrichment-design, .github/skills/enrichment-design and .opencode/skills/enrichment-design in your project.

What does Enrichment Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Enrichment Design is instructions for the agent only.

Does Enrichment Design access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Enrichment Design safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Enrichment Design use?

No licence was found for Enrichment Design or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Enrichment Design use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Enrichment Design?

Skills that share tags, products or a category with Enrichment Design: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Enrichment Design?

extruct-ai (a GitHub organization) maintains it in extruct-ai/gtm-skills, which has 109 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 28, 2026.

Source: extruct-ai/gtm-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.