Data Table Manager
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
$ npx skills add A-EVO-Lab/a-evolve --skill data-formats -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install A-EVO-Lab/a-evolve data-formats --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/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .claude/skills && cp -r skills-src/seed_workspaces/skillbench/skills/data-formats .claude/skills/data-formats && 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-formats" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/data-formats into .claude/skills/data-formats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-formats", 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/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/data-formatsType 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 A-EVO-Lab/a-evolve --skill data-formats -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install A-EVO-Lab/a-evolve data-formats --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .agents/skills && cp -r skills-src/seed_workspaces/skillbench/skills/data-formats .agents/skills/data-formats && 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-formats" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/data-formats into .agents/skills/data-formats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-formats", 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 A-EVO-Lab/a-evolve --skill data-formats -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install A-EVO-Lab/a-evolve data-formats --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/seed_workspaces/skillbench/skills/data-formats .cursor/skills/data-formats && 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-formats" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/data-formats into .cursor/skills/data-formats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-formats", 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/A-EVO-Lab/a-evolve.git --path seed_workspaces/skillbench/skills/data-formats--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 A-EVO-Lab/a-evolve --skill data-formats -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install A-EVO-Lab/a-evolve data-formats --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/seed_workspaces/skillbench/skills/data-formats .gemini/skills/data-formats && 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-formats" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/data-formats into .gemini/skills/data-formats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-formats", 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 A-EVO-Lab/a-evolve data-formatsInstalls 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 A-EVO-Lab/a-evolve --skill data-formats -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .github/skills && cp -r skills-src/seed_workspaces/skillbench/skills/data-formats .github/skills/data-formats && 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-formats" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/data-formats into .github/skills/data-formats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-formats", 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 A-EVO-Lab/a-evolve --skill data-formats -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install A-EVO-Lab/a-evolve data-formats --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/seed_workspaces/skillbench/skills/data-formats .opencode/skills/data-formats && 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-formats" agent skill from https://github.com/A-EVO-Lab/a-evolve/tree/main/seed_workspaces/skillbench/skills/data-formats into .opencode/skills/data-formats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-formats", 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.
data-formatsReading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
Data Formats is an agent skill from A-EVO-Lab/a-evolve. Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
Its SKILL.md is about 640 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 CSV and tabular files. It works with Microsoft Excel. The repository describes itself as: The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 18ba996. 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.
Shell commands in SKILL.md call:
libreofficepip3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip3, which can reach the network depending on how they are called.
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.
Data Formats loads about 638 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 181 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 181 words (~638 tokens).
“openpyxl writes formula strings but does NOT compute them. Verifiers read VALUES, not formulas.”
Just SKILL.md in seed_workspaces/skillbench/skills/data-formats of A-EVO-Lab/a-evolve.
Open the folder on GitHubat commit 18ba996
Data Formats 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 Formats this skillA-EVO-Lab/a-evolve | 806 | — | ~638 | Automated safety check: Pass | None | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences | 274 | 2 repos | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Markitshift-labs-ai/markit | 1.3k | — | ~299 | Automated safety check: Pass | MIT | |
| Convert Fileduckdb/duckdb-skills | 600 | 1 repos | ~720 | Automated safety check: Notes | MIT | |
| Research Integrity Auditxuzhougeng/wisp-science | 1k | — | ~2.6k | Automated safety check: Pass | AGPL-3.0 |
n8n-io/n8n
Load before calling data-tables or parse-file. An agent skill from n8n-io/n8n.
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
shift-labs-ai/markit
Convert files and URLs to Markdown. An agent skill from shift-labs-ai/markit.
duckdb/duckdb-skills
Convert any data file to another format: CSV, Parquet, JSON, Excel, GeoJSON, and more.
xuzhougeng/wisp-science
学术审查 / research-integrity screening of a manuscript's figures and reported numbers.
eclipse-rdf4j/rdf4j
Parse JMH result text by finding the first header line that starts with Benchmark and contains Mode and Score, build a structured table for all columns/rows, compare overlapping benchmarks across 2+…
A-EVO-Lab/a-evolve
Optimize an AI agent's harness for MCP-Atlas benchmark. An agent skill from A-EVO-Lab/a-evolve.
A-EVO-Lab/a-evolve
Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.
A-EVO-Lab/a-evolve
Installing and using common Python packages in SkillBench containers.
A-EVO-Lab/a-evolve
Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks.
A-EVO-Lab/a-evolve
How to interpret accessibility tree elements and correlate them with screenshot regions for accurate GUI interaction.
A-EVO-Lab/a-evolve
How to discover, load, and effectively use skills to solve SkillBench tasks.
Works with
Categories
Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases. Data Formats is an agent skill from A-EVO-Lab/a-evolve. Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
Data Formats fits situations like: tasks that involve Excel spreadsheets; tasks that involve CSV and tabular files.
Run `npx skills add A-EVO-Lab/a-evolve --skill data-formats -a claude-code`. Or copy the skill folder (seed_workspaces/skillbench/skills/data-formats in A-EVO-Lab/a-evolve) into .claude/skills/data-formats in your project. Claude Code loads it when a task matches its description.
Run `npx skills add A-EVO-Lab/a-evolve --skill data-formats -a codex`. Or copy the skill folder (seed_workspaces/skillbench/skills/data-formats in A-EVO-Lab/a-evolve) into .agents/skills/data-formats 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 A-EVO-Lab/a-evolve --skill data-formats -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-formats, .gemini/skills/data-formats, .github/skills/data-formats and .opencode/skills/data-formats in your project.
Going by SKILL.md and its folder, Data Formats needs the command-line tools its instructions call (libreoffice and pip3). Our summary lists: Python 3.
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 Data Formats or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 638 tokens (SKILL.md is roughly 2.6k 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 Data Formats: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Markit (shift-labs-ai/markit, 1.3k stars) and Convert File (duckdb/duckdb-skills, 600 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
A-EVO-Lab (a GitHub organization) maintains it in A-EVO-Lab/a-evolve, which has 806 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on August 22, 2026.
Source: A-EVO-Lab/a-evolve on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.