Forge Codegen Crud
yaomindong1996/forge-admin
Generate or review Forge project code-generation output for CRUD modules.
Load messy tabular data into SQL scratchpad tables and answer questions with real queries instead of eyeballing.
Install Data Explore
$ npx skills add amd/gaia --skill data-explore -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install amd/gaia data-explore --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/amd/gaia.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hub/skills/data-explore .claude/skills/data-explore && 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 "data-explore" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/data-explore into .claude/skills/data-explore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explore", 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/amd/gaia/tree/main/hub/skills/data-exploreType 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 amd/gaia --skill data-explore -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install amd/gaia data-explore --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .agents/skills && cp -r skills-src/hub/skills/data-explore .agents/skills/data-explore && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-explore" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/data-explore into .agents/skills/data-explore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explore", 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 amd/gaia --skill data-explore -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install amd/gaia data-explore --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/hub/skills/data-explore .cursor/skills/data-explore && 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 "data-explore" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/data-explore into .cursor/skills/data-explore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explore", 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/amd/gaia.git --path hub/skills/data-explore--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 amd/gaia --skill data-explore -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install amd/gaia data-explore --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/hub/skills/data-explore .gemini/skills/data-explore && 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 "data-explore" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/data-explore into .gemini/skills/data-explore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explore", 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 amd/gaia data-exploreInstalls 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 amd/gaia --skill data-explore -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .github/skills && cp -r skills-src/hub/skills/data-explore .github/skills/data-explore && 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 "data-explore" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/data-explore into .github/skills/data-explore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explore", 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 amd/gaia --skill data-explore -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install amd/gaia data-explore --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/amd/gaia.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/hub/skills/data-explore .opencode/skills/data-explore && 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 "data-explore" agent skill from https://github.com/amd/gaia/tree/main/hub/skills/data-explore into .opencode/skills/data-explore/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-explore", 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
data-explore- GitHub stars
- 1.6k
- Token cost
- ~633 tokens
- SKILL.md length
- 319 words
- Files
- 1
- Skills in repo
- 44
- Repo updated
- First seen
- Licence
- MIT
At a glance
Load messy tabular data into SQL scratchpad tables and answer questions with real queries instead of eyeballing.
- Works in 6 steps: Look before you load. Read the first few… → Create the table with… → Insert with insert_data(table_name,… → …
- The user has a CSV
- SKILL.md covers Procedure, The prefix rule, Cleaning rules and Fork this
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Explore is an agent skill from amd/gaia. Load messy tabular data into SQL scratchpad tables and answer questions with real queries instead of eyeballing. Use when the user has a CSV, spreadsheet, export, or pasted table and asks for totals, trends, outliers, or a breakdown.
Its SKILL.md is about 630 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 Excel spreadsheets and SQL. It works with SQL. The repository describes itself as: Build AI agents for your PC. The licence is MIT.
When your agent uses it
- The user has a CSV
- Pasted table and asks for totals
Example prompts
- “/data-explore”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Look before you load. Read the first few rows. Identify the columns, their
- Create the table with create_table(table_name, columns). Use explicit
- Insert with insert_data(table_name, data). Load everything, not a
- Verify the load. list_tables() to confirm the schema landed as you
- Answer with query_data(sql). One query per question. Show the SQL you
- Say what the data cannot tell you. Missing rows, nulls, and a single
What it can do on your machine
Read from SKILL.md and the folder at commit 6c3bb5c. 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.
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
Data Explore loads about 633 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 319 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
The full file from amd/gaia at commit 6c3bb5c, republished under its MIT licence (© amd). 319 words, ~633 tokens.
Download SKILL.mdSave it as
.claude/skills/data-explore/SKILL.md (or your agent's skills folder).- name
- data-explore
- description
- Load messy tabular data into SQL scratchpad tables and answer questions with real queries instead of eyeballing. Use when the user has a CSV, spreadsheet, export, or pasted table and asks for totals, trends, outliers, or a breakdown.
- license
- MIT
- version
- 1.0.0
Data Explore
An LLM reading numbers off a table gets them subtly wrong. An LLM writing SQL against those numbers does not. Always move the data into a table first.
Procedure
- Look before you load. Read the first few rows. Identify the columns, their types, and which one is the key. Say out loud what you think each column means and let the user correct you — a misread column poisons every later answer.
- Create the table with
create_table(table_name, columns). Use explicit types. Store money as a number, not a string with a currency symbol; store dates as ISOYYYY-MM-DD. - Insert with
insert_data(table_name, data). Load everything, not a sample — the outliers are usually the point. - Verify the load.
list_tables()to confirm the schema landed as you intended, thenquery_data("SELECT COUNT(*) FROM scratch_<table>")and compare to the source row count. If they differ, find out why before answering anything. - Answer with
query_data(sql). One query per question. Show the SQL you ran alongside the result so the user can check your reasoning. - Say what the data cannot tell you. Missing rows, nulls, and a single month of history are all limits worth naming.
The prefix rule
Every table name in a query carries the scratch_ prefix. A table created
as create_table("sales", ...) is queried as SELECT ... FROM scratch_sales.
Getting this wrong is the single most common failure here — the query errors
instead of returning data, and no amount of rephrasing the question fixes it.
Cleaning rules
- Trim whitespace and normalize case before comparing text keys.
- Nulls and zeros are different. Never coerce one to the other silently.
- If a column mixes formats (dates as both
01/02/24and2024-02-01), normalize on load and tell the user you did.
Fork this
Pin step 2 to your recurring export's exact schema and step 5 to the five questions you always ask of it — the skill becomes a one-command monthly report.
© amd, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in hub/skills/data-explore of amd/gaia.
Open the folder on GitHubat commit 6c3bb5c
Compare with similar skills
Data Explore 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 |
|---|---|---|---|---|---|---|
| Data Explore this skillamd/gaia | 1.6k | — | ~633 | Automated safety check: Pass | MIT | |
| Forge Codegen Crudyaomindong1996/forge-admin | 125 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Rust SQL Testshencangsheng/easydb_app | 590 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Data AnalysisHezaoHezao/poirot | 250 | — | ~997 | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Alumni Re Hire Trackersickn33/agentic-awesome-skills | 47k | 1 repos | ~3.4k | Automated safety check: Pass | MIT |
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Announcement board: author, category, department, priority, audience, publish and expiry dates, status and acknowledgements, as CSV, SQL, JSON Schema or Notion on request.
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Related
Works with
Categories
Questions about Data Explore
What does Data Explore do?
Load messy tabular data into SQL scratchpad tables and answer questions with real queries instead of eyeballing. Data Explore is an agent skill from amd/gaia. Load messy tabular data into SQL scratchpad tables and answer questions with real queries instead of eyeballing.
When should I use Data Explore?
Data Explore fits situations like: the user has a CSV; pasted table and asks for totals.
How do I install Data Explore in Claude Code?
Run `npx skills add amd/gaia --skill data-explore -a claude-code`. Or copy the skill folder (hub/skills/data-explore in amd/gaia) into .claude/skills/data-explore in your project. Claude Code loads it when a task matches its description.
How do I install Data Explore in Codex?
Run `npx skills add amd/gaia --skill data-explore -a codex`. Or copy the skill folder (hub/skills/data-explore in amd/gaia) into .agents/skills/data-explore in your project. Codex loads it when a task matches its description.
Can I use Data Explore 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 amd/gaia --skill data-explore -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-explore, .gemini/skills/data-explore, .github/skills/data-explore and .opencode/skills/data-explore in your project.
What does Data Explore need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Explore is instructions for the agent only.
Does Data Explore 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 Data Explore 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 Data Explore use?
Data Explore is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Data Explore use?
About 633 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Data Explore?
Skills that share tags, products or a category with Data Explore: Forge Codegen Crud (yaomindong1996/forge-admin, 125 stars), Rust SQL Test (shencangsheng/easydb_app, 590 stars), Data Analysis (HezaoHezao/poirot, 250 stars) and Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Explore?
amd (a GitHub organization) maintains it in amd/gaia, which has 1,580 GitHub stars. The repository holds 44 skills in this directory. The repository was last updated on October 6, 2026.
Source: amd/gaia on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.