Add Enrichment
simstudioai/sim
Add a code-defined table enrichment (registry entry) under apps/sim/enrichments/ backed by an ordered provider cascade, ensuring every provider tool it calls has hosted-key support.
Take an enriched Extruct table and a hypothesis set, then segment companies by hypothesis fit and assign tiers based on data richness and signal strength.
No licenceAuto-check passed
Install List Segmentation
$ npx skills add extruct-ai/gtm-skills --skill list-segmentation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install extruct-ai/gtm-skills list-segmentation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/list-segmentation .claude/skills/list-segmentation && rm -rf skills-srcUse ~/.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/
Install the "list-segmentation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/list-segmentation into .claude/skills/list-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "list-segmentation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/extruct-ai/gtm-skills/tree/main/skills/list-segmentationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add extruct-ai/gtm-skills --skill list-segmentation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install extruct-ai/gtm-skills list-segmentation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/list-segmentation .agents/skills/list-segmentation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "list-segmentation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/list-segmentation into .agents/skills/list-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "list-segmentation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add extruct-ai/gtm-skills --skill list-segmentation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install extruct-ai/gtm-skills list-segmentation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/list-segmentation .cursor/skills/list-segmentation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "list-segmentation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/list-segmentation into .cursor/skills/list-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "list-segmentation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/extruct-ai/gtm-skills.git --path skills/list-segmentation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add extruct-ai/gtm-skills --skill list-segmentation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install extruct-ai/gtm-skills list-segmentation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/list-segmentation .gemini/skills/list-segmentation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "list-segmentation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/list-segmentation into .gemini/skills/list-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "list-segmentation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install extruct-ai/gtm-skills list-segmentationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add extruct-ai/gtm-skills --skill list-segmentation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/list-segmentation .github/skills/list-segmentation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "list-segmentation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/list-segmentation into .github/skills/list-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "list-segmentation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add extruct-ai/gtm-skills --skill list-segmentation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install extruct-ai/gtm-skills list-segmentation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/extruct-ai/gtm-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/list-segmentation .opencode/skills/list-segmentation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "list-segmentation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/list-segmentation into .opencode/skills/list-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "list-segmentation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
list-segmentation- GitHub stars
- 109
- Token cost
- ~1.2k tokens
- SKILL.md length
- 426 words
- Files
- 2 (incl. references)
- Skills in repo
- 20
- Repo updated
- First seen
- Licence
- None found
At a glance
Take an enriched Extruct table and a hypothesis set, then segment companies by hypothesis fit and assign tiers based on data richness and signal strength.
- Works in 5 steps: Load data → Match companies to hypotheses → Assign tiers → …
- Segment companies
- SKILL.md covers Inputs, Extruct API Operations, Workflow and Reference
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
List Segmentation is an agent skill from extruct-ai/gtm-skills. Take an enriched Extruct table and a hypothesis set, then segment companies by hypothesis fit and assign tiers based on data richness and signal strength. Outputs a tiered, segmented list ready for email generation. Triggers on: "segment", "tier", "segment companies", "tier companies", "prioritize list", "segment and tier", "tiering", "which companies first".
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/tiering-framework.md`).
When your agent uses it
- Segment companies
- Prioritize list
- Segment and tier
- Which companies first
Example prompts
- “segment”
- “segment companies”
- “tier companies”
- “/list-segmentation”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Load data
- Match companies to hypotheses
- Assign tiers
- Generate output
- Review with user
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 markdown).
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
List Segmentation loads about 1.2k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 426 words of instructions outside code blocks.
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 426 words (~1,205 tokens).
“Take an enriched table + hypothesis set and produce a tiered, segmented list. This decides WHO gets which message and in what order.”
- name
- list-segmentation
Files
SKILL.md and 1 other file (references) in skills/list-segmentation of extruct-ai/gtm-skills.
- SKILL.md
- references/tiering-framework.md
Open the folder on GitHubat commit 34406cb
Compare with similar skills
List Segmentation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| List Segmentation this skillextruct-ai/gtm-skills | 109 | — | ~1.2k | Automated safety check: Pass | None | |
| Add Enrichmentsimstudioai/sim | 30k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Table Fitasgeirtj/system_prompts_leaks | 69k | — | ~772 | Automated safety check: Pass | CC0-1.0 | |
| Homelab Vlan Segmentationaffaan-m/ECC | 275k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Table Headersthedaviddias/Front-End-Checklist | 74k | — | ~460 | Automated safety check: Pass | MIT | |
| Accessible Tablesthedaviddias/Front-End-Checklist | 74k | — | ~521 | Automated safety check: Pass | MIT |
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Table Headers
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Accessible Tables
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- Official
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Questions about List Segmentation
What does List Segmentation do?
Take an enriched Extruct table and a hypothesis set, then segment companies by hypothesis fit and assign tiers based on data richness and signal strength. List Segmentation is an agent skill from extruct-ai/gtm-skills. Take an enriched Extruct table and a hypothesis set, then segment companies by hypothesis fit and assign tiers based on data richness and signal strength.
When should I use List Segmentation?
List Segmentation fits situations like: segment companies; prioritize list; segment and tier; which companies first.
How do I install List Segmentation in Claude Code?
Run `npx skills add extruct-ai/gtm-skills --skill list-segmentation -a claude-code`. Or copy the skill folder (skills/list-segmentation in extruct-ai/gtm-skills) into .claude/skills/list-segmentation in your project. Claude Code loads it when a task matches its description.
How do I install List Segmentation in Codex?
Run `npx skills add extruct-ai/gtm-skills --skill list-segmentation -a codex`. Or copy the skill folder (skills/list-segmentation in extruct-ai/gtm-skills) into .agents/skills/list-segmentation in your project. Codex loads it when a task matches its description.
Can I use List Segmentation 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 list-segmentation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/list-segmentation, .gemini/skills/list-segmentation, .github/skills/list-segmentation and .opencode/skills/list-segmentation in your project.
What does List Segmentation need to run?
SKILL.md names no scripts, command-line tools or credentials: List Segmentation is instructions for the agent only.
Does List Segmentation 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 List Segmentation 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 List Segmentation use?
No licence was found for List Segmentation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does List Segmentation use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 635 tokens, read only when the agent opens those files.
What are the alternatives to List Segmentation?
Skills that share tags, products or a category with List Segmentation: Add Enrichment (simstudioai/sim, 30k stars), Table Fit (asgeirtj/system_prompts_leaks, 69k stars), Homelab Vlan Segmentation (affaan-m/ECC, 275k stars) and Table Headers (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains List Segmentation?
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.