Jeecg System
jeecgboot/skills
JeecgBoot 系统主数据查询与管理。Use when user asks to query/create/manage system master data, or says "查询角色", "查询用户", "查询部门", "查询字典", "创建字典", "创建角色", "查岗位", "查职务", "查租户", "查数据源", "查定时任务", "系统主数据", "query…
Create standardized metadata for data assets. An agent skill from nimrodfisher/data-analytics-skills.
Install Data Catalog Entry
$ npx skills add nimrodfisher/data-analytics-skills --skill data-catalog-entry -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nimrodfisher/data-analytics-skills data-catalog-entry --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/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/02-documentation-knowledge/data-catalog-entry .claude/skills/data-catalog-entry && 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-catalog-entry" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/data-catalog-entry into .claude/skills/data-catalog-entry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-catalog-entry", 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/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/data-catalog-entryType 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 nimrodfisher/data-analytics-skills --skill data-catalog-entry -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nimrodfisher/data-analytics-skills data-catalog-entry --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/02-documentation-knowledge/data-catalog-entry .agents/skills/data-catalog-entry && 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-catalog-entry" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/data-catalog-entry into .agents/skills/data-catalog-entry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-catalog-entry", 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 nimrodfisher/data-analytics-skills --skill data-catalog-entry -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nimrodfisher/data-analytics-skills data-catalog-entry --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/02-documentation-knowledge/data-catalog-entry .cursor/skills/data-catalog-entry && 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-catalog-entry" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/data-catalog-entry into .cursor/skills/data-catalog-entry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-catalog-entry", 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/nimrodfisher/data-analytics-skills.git --path 02-documentation-knowledge/data-catalog-entry--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 nimrodfisher/data-analytics-skills --skill data-catalog-entry -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nimrodfisher/data-analytics-skills data-catalog-entry --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/02-documentation-knowledge/data-catalog-entry .gemini/skills/data-catalog-entry && 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-catalog-entry" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/data-catalog-entry into .gemini/skills/data-catalog-entry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-catalog-entry", 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 nimrodfisher/data-analytics-skills data-catalog-entryInstalls 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 nimrodfisher/data-analytics-skills --skill data-catalog-entry -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/02-documentation-knowledge/data-catalog-entry .github/skills/data-catalog-entry && 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-catalog-entry" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/data-catalog-entry into .github/skills/data-catalog-entry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-catalog-entry", 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 nimrodfisher/data-analytics-skills --skill data-catalog-entry -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nimrodfisher/data-analytics-skills data-catalog-entry --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/02-documentation-knowledge/data-catalog-entry .opencode/skills/data-catalog-entry && 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-catalog-entry" agent skill from https://github.com/nimrodfisher/data-analytics-skills/tree/main/02-documentation-knowledge/data-catalog-entry into .opencode/skills/data-catalog-entry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-catalog-entry", 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-catalog-entry- GitHub stars
- 465
- Token cost
- ~616 tokens
- SKILL.md length
- 284 words
- Files
- 4 (incl. scripts, references, assets)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- MIT
At a glance
Create standardized metadata for data assets. An agent skill from nimrodfisher/data-analytics-skills.
- Works in 6 steps: Extract technical metadata — pull… → Collect business context — interview the… → Write column descriptions — for each… → …
- Documenting new datasets
- Runs Python scripts from its folder
- Building data catalogs
What it does
Data Catalog Entry is an agent skill from nimrodfisher/data-analytics-skills. Create standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.
Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `assets/catalog_entry_template.md`, `references/catalog_standards.md` and `scripts/catalog_extractor.py`).
It sits in Data & Analytics, covering Data governance. The repository describes itself as: A comprehensive list of Claude & Codex skills for a wide range of data analytics tasks. The licence is MIT.
When your agent uses it
- Documenting new datasets
- Building data catalogs
- Improving data discoverability
- Creating data dictionaries for teams
Example prompts
- “/data-catalog-entry”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Extract technical metadata — pull schema, column names, types, primary keys, foreign keys, and row count from INFORMATION_SCHEMA or the…
- Collect business context — interview the data owner to capture the business purpose, owning team, criticality (critical / high / medium /…
- Write column descriptions — for each column, write a one-sentence plain-language description, note example values, and document any…
- Assess data quality — calculate or estimate completeness, freshness (hours since last update), and duplicate rate. Document known issues…
- Document lineage — record upstream sources (where the data comes from) and downstream consumers (dashboards, models, reports that depend…
- Add governance details and publish — specify access level (public/restricted/confidential), sensitivity (PII, financial, health)…
What it can do on your machine
Read from SKILL.md and the folder at commit 9449d36. 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
Ships 1 file in scripts/ (Python), which the agent can run.
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 Catalog Entry loads about 616 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 49 tokens; SKILL.md has 284 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); the scripts in this folder are not scanned.
SKILL.md
The full file from nimrodfisher/data-analytics-skills at commit 9449d36, republished under its MIT licence (© nimrodfisher). 284 words, ~616 tokens.
Download SKILL.mdSave it as
.claude/skills/data-catalog-entry/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- data-catalog-entry
- description
- Create standardized metadata for data assets. Use when documenting new datasets, building data catalogs, improving data discoverability, or creating data dictionaries for teams.
Data Catalog Entry
When to use
- A new table, view, or dataset has been created and needs to be discoverable
- Analysts keep asking the same questions about a table's meaning or ownership
- A compliance or audit requirement mandates documentation of sensitive data
- Onboarding new team members who need to understand available data assets
- Auditing catalog completeness to find undocumented tables
Process
- Extract technical metadata — pull schema, column names, types, primary keys, foreign keys, and row count from
INFORMATION_SCHEMAor the source system. Usescripts/catalog_extractor.pyto automate this for database tables. - Collect business context — interview the data owner to capture the business purpose, owning team, criticality (critical / high / medium / low), and known use cases. Record the business-friendly display name.
- Write column descriptions — for each column, write a one-sentence plain-language description, note example values, and document any business rules (valid values, constraints, format requirements).
- Assess data quality — calculate or estimate completeness, freshness (hours since last update), and duplicate rate. Document known issues and how they affect downstream use.
- Document lineage — record upstream sources (where the data comes from) and downstream consumers (dashboards, models, reports that depend on it).
- Add governance details and publish — specify access level (public/restricted/confidential), sensitivity (PII, financial, health), compliance tags, retention policy, and access instructions. Complete
assets/catalog_entry_template.mdand submit to the catalog.
Inputs the skill needs
- Connection or export from the database/source system for technical metadata
- Data owner contact for business context interview
- Knowledge of upstream sources and downstream consumers
- Applicable governance policies (PII classification, retention rules)
- Any existing partial documentation or data dictionary
Output
scripts/catalog_extractor.py— extracts schema and basic stats from a database tableassets/catalog_entry_template.md— completed catalog entry with technical, business, quality, lineage, and governance sections
© nimrodfisher, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references, assets) in 02-documentation-knowledge/data-catalog-entry of nimrodfisher/data-analytics-skills.
- SKILL.md
- assets/catalog_entry_template.md
- references/catalog_standards.md
- scripts/catalog_extractor.py
Open the folder on GitHubat commit 9449d36
Compare with similar skills
Data Catalog Entry 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 Catalog Entry this skillnimrodfisher/data-analytics-skills | 465 | — | ~616 | Automated safety check: Pass | MIT | |
| Jeecg Systemjeecgboot/skills | 239 | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Openalgo Chart Indicatormarketcalls/openalgo-charts | 140 | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | |
| Data Quality Frameworkswshobson/agents | 40k | 11 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Tracing Downstream Lineageastronomer/agents | 451 | 1 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Tracing Upstream Lineageastronomer/agents | 451 | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Data Catalog Entry
What does Data Catalog Entry do?
Create standardized metadata for data assets. An agent skill from nimrodfisher/data-analytics-skills. Data Catalog Entry is an agent skill from nimrodfisher/data-analytics-skills. Create standardized metadata for data assets.
When should I use Data Catalog Entry?
Data Catalog Entry fits situations like: documenting new datasets; building data catalogs; improving data discoverability; creating data dictionaries for teams.
How do I install Data Catalog Entry in Claude Code?
Run `npx skills add nimrodfisher/data-analytics-skills --skill data-catalog-entry -a claude-code`. Or copy the skill folder (02-documentation-knowledge/data-catalog-entry in nimrodfisher/data-analytics-skills) into .claude/skills/data-catalog-entry in your project. Claude Code loads it when a task matches its description.
How do I install Data Catalog Entry in Codex?
Run `npx skills add nimrodfisher/data-analytics-skills --skill data-catalog-entry -a codex`. Or copy the skill folder (02-documentation-knowledge/data-catalog-entry in nimrodfisher/data-analytics-skills) into .agents/skills/data-catalog-entry in your project. Codex loads it when a task matches its description.
Can I use Data Catalog Entry 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 nimrodfisher/data-analytics-skills --skill data-catalog-entry -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-catalog-entry, .gemini/skills/data-catalog-entry, .github/skills/data-catalog-entry and .opencode/skills/data-catalog-entry in your project.
What does Data Catalog Entry need to run?
Going by SKILL.md and its folder, Data Catalog Entry needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Data Catalog Entry 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 Catalog Entry 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Data Catalog Entry use?
Data Catalog Entry is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Data Catalog Entry use?
About 616 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. Its references folder adds about 794 tokens, read only when the agent opens those files.
What are the alternatives to Data Catalog Entry?
Skills that share tags, products or a category with Data Catalog Entry: Jeecg System (jeecgboot/skills, 239 stars), Openalgo Chart Indicator (marketcalls/openalgo-charts, 140 stars), Data Quality Frameworks (wshobson/agents, 40k stars) and Tracing Downstream Lineage (astronomer/agents, 451 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Catalog Entry?
nimrodfisher (a GitHub user) maintains it in nimrodfisher/data-analytics-skills, which has 465 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 25, 2026.
Source: nimrodfisher/data-analytics-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.