Data Extractor
hanzili/hanzi-browse
Extract structured data from websites into CSV or JSON. An agent skill from hanzili/hanzi-browse.
Create an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns.
$ npx skills add extruct-ai/gtm-skills --skill table-creation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install extruct-ai/gtm-skills table-creation --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/table-creation .claude/skills/table-creation && 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 "table-creation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/table-creation into .claude/skills/table-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "table-creation", 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/table-creationType 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 table-creation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install extruct-ai/gtm-skills table-creation --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/table-creation .agents/skills/table-creation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "table-creation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/table-creation into .agents/skills/table-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "table-creation", 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 table-creation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install extruct-ai/gtm-skills table-creation --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/table-creation .cursor/skills/table-creation && 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 "table-creation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/table-creation into .cursor/skills/table-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "table-creation", 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/table-creation--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 table-creation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install extruct-ai/gtm-skills table-creation --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/table-creation .gemini/skills/table-creation && 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 "table-creation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/table-creation into .gemini/skills/table-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "table-creation", 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 table-creationInstalls 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 table-creation -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/table-creation .github/skills/table-creation && 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 "table-creation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/table-creation into .github/skills/table-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "table-creation", 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 table-creation -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 table-creation --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/table-creation .opencode/skills/table-creation && 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 "table-creation" agent skill from https://github.com/extruct-ai/gtm-skills/tree/main/skills/table-creation into .opencode/skills/table-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "table-creation", 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.
table-creationCreate an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns.
Table Creation is an agent skill from extruct-ai/gtm-skills. Create an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns. Handles the full flow: parse input (CSV, pasted list, or structured data), create or reuse a table, upload domains in batches, add agent columns, and trigger enrichment. Triggers on: "create table", "upload companies", "add to extruct", "new extruct table", "import companies", "upload list to extruct".
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering CSV and tabular files and Schema markup.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 34406cb. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Table Creation loads about 1k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 448 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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 448 words (~1,008 tokens).
“End-to-end workflow: parse company data → create/reuse Extruct table → upload rows → add columns → run enrichment.”
Just SKILL.md in skills/table-creation of extruct-ai/gtm-skills.
Open the folder on GitHubat commit 34406cb
Table Creation 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 |
|---|---|---|---|---|---|---|
| Table Creation this skillextruct-ai/gtm-skills | 109 | — | ~1k | Automated safety check: Pass | None | |
| Data Extractorhanzili/hanzi-browse | 177 | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Neo4j Import Skillneo4j-contrib/neo4j-skills | 114 | — | ~4.9k | Automated safety check: Notes | MIT | |
| Sector Analysttradermonty/claude-trading-skills | 3k | 1 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Data Processingjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Data Cleanupsgharlow/claude-code-recipes | 389 | — | ~566 | Automated safety check: Pass | Custom licence |
hanzili/hanzi-browse
Extract structured data from websites into CSV or JSON. An agent skill from hanzili/hanzi-browse.
neo4j-contrib/neo4j-skills
Import structured data into Neo4j — LOAD CSV, CALL IN TRANSACTIONS, neo4j-admin database import full (offline bulk), apoc.load.csv/json, apoc.periodic.iterate, driver batch writes.
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
jeremylongshore/tons-of-skills-marketplace
A skill your agent uses when working with structured data files (CSV, JSON, YAML, TOML, Parquet) — querying, transforming, filtering, aggregating, or converting between formats
sgharlow/claude-code-recipes
Clean and standardize messy tabular data (CSV, spreadsheet paste, system exports) into an analysis-ready dataset — consistent dates and names, typed columns, duplicates identified, missing values…
MichaelYang-lyx/AIDABench
图片理解与数据提取 skill。当图片文件(.png/.jpg/.jpeg/.gif/.webp/.bmp)是主要输入且用户需要理解、提取数据或分析图片内容时使用。提供预配置的 caption 脚本(scripts/caption.py),通过 vision 模型将图片转为文本描述,无需额外配置 API Key。覆盖:(1) 通过 scripts/caption.py…
extruct-ai/gtm-skills
Deep-research a single target account into a decision-ready dossier: the entity tree, the buying units and decision-makers, live signals (open/closed roles, leadership moves, news, tech stack), and…
extruct-ai/gtm-skills
Upload finalized emails for sequencing and sending. An agent skill from extruct-ai/gtm-skills.
extruct-ai/gtm-skills
Build and maintain a global company context file that all other GTM skills read from.
extruct-ai/gtm-skills
Render a cold-outreach email sequence from a fixed template set and a contact CSV whose input fields are already filled.
extruct-ai/gtm-skills
Deep persona simulation and skeptical buyer review for cold emails.
extruct-ai/gtm-skills
Get verified emails and phones for contacts found by people-search.
Categories
Create an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns. Table Creation is an agent skill from extruct-ai/gtm-skills. Create an Extruct company table from user-provided data, upload rows, and optionally add enrichment columns.
Table Creation fits situations like: upload companies; new extruct table; import companies; upload list to extruct.
Run `npx skills add extruct-ai/gtm-skills --skill table-creation -a claude-code`. Or copy the skill folder (skills/table-creation in extruct-ai/gtm-skills) into .claude/skills/table-creation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add extruct-ai/gtm-skills --skill table-creation -a codex`. Or copy the skill folder (skills/table-creation in extruct-ai/gtm-skills) into .agents/skills/table-creation in your project. Codex loads it when a task matches its description.
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 table-creation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/table-creation, .gemini/skills/table-creation, .github/skills/table-creation and .opencode/skills/table-creation in your project.
SKILL.md names no scripts, command-line tools or credentials: Table Creation is instructions for the agent only.
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.
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.
No licence was found for Table Creation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1k tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Table Creation: Data Extractor (hanzili/hanzi-browse, 177 stars), Neo4j Import Skill (neo4j-contrib/neo4j-skills, 114 stars), Sector Analyst (tradermonty/claude-trading-skills, 3k stars) and Data Processing (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.