Matplotlib
zLanqing/codex-claude-academic-skills
Low-level plotting library for full customization. An agent skill from zLanqing/codex-claude-academic-skills.
Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries.
Install Data Storyteller
$ npx skills add dkyazzentwatwa/chatgpt-skills --skill data-storyteller -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dkyazzentwatwa/chatgpt-skills data-storyteller --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/dkyazzentwatwa/chatgpt-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data-storyteller .claude/skills/data-storyteller && 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-storyteller" agent skill from https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/data-storyteller into .claude/skills/data-storyteller/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-storyteller", 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/dkyazzentwatwa/chatgpt-skills/tree/main/data-storytellerType 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 dkyazzentwatwa/chatgpt-skills --skill data-storyteller -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dkyazzentwatwa/chatgpt-skills data-storyteller --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dkyazzentwatwa/chatgpt-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/data-storyteller .agents/skills/data-storyteller && 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-storyteller" agent skill from https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/data-storyteller into .agents/skills/data-storyteller/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-storyteller", 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 dkyazzentwatwa/chatgpt-skills --skill data-storyteller -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dkyazzentwatwa/chatgpt-skills data-storyteller --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dkyazzentwatwa/chatgpt-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/data-storyteller .cursor/skills/data-storyteller && 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-storyteller" agent skill from https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/data-storyteller into .cursor/skills/data-storyteller/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-storyteller", 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/dkyazzentwatwa/chatgpt-skills.git --path data-storyteller--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 dkyazzentwatwa/chatgpt-skills --skill data-storyteller -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dkyazzentwatwa/chatgpt-skills data-storyteller --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dkyazzentwatwa/chatgpt-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/data-storyteller .gemini/skills/data-storyteller && 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-storyteller" agent skill from https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/data-storyteller into .gemini/skills/data-storyteller/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-storyteller", 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 dkyazzentwatwa/chatgpt-skills data-storytellerInstalls 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 dkyazzentwatwa/chatgpt-skills --skill data-storyteller -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dkyazzentwatwa/chatgpt-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/data-storyteller .github/skills/data-storyteller && 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-storyteller" agent skill from https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/data-storyteller into .github/skills/data-storyteller/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-storyteller", 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 dkyazzentwatwa/chatgpt-skills --skill data-storyteller -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dkyazzentwatwa/chatgpt-skills data-storyteller --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dkyazzentwatwa/chatgpt-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/data-storyteller .opencode/skills/data-storyteller && 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-storyteller" agent skill from https://github.com/dkyazzentwatwa/chatgpt-skills/tree/main/data-storyteller into .opencode/skills/data-storyteller/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-storyteller", 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-storyteller- GitHub stars
- 116
- Token cost
- ~391 tokens
- SKILL.md length
- 153 words
- Files
- 17 (incl. scripts)
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries.
- Works in 5 steps: Profile the dataset shape, column types,… → Pick the smallest useful analysis path… → Start with scripts/data_storyteller.py… → …
- Exploratory analysis and executive-ready outputs
- SKILL.md covers Use This For, Workflow and Guardrails
- Runs Python scripts from its folder
What it does
Data Storyteller is an agent skill from dkyazzentwatwa/chatgpt-skills. Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.
Its SKILL.md is about 390 tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including scripts (for example `agents/openai.yaml`, `scripts/ab_test_calc.py` and `scripts/budget_analyzer.py`).
It sits in Data & Analytics. The repository describes itself as: My comprehensive, tested + audited, library of skills to use for ChatGPT.
When your agent uses it
- Exploratory analysis and executive-ready outputs
Example prompts
- “/data-storyteller”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Profile the dataset shape, column types, and missing-value risk.
- Pick the smallest useful analysis path instead of running every script by default.
- Start with scripts/data_storyteller.py when the user wants a cohesive report.
- Reach for focused helpers when the task is narrow
- Translate outputs into plain-English findings, risks, and next actions.
What it can do on your machine
Read from SKILL.md and the folder at commit 103b430. 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 14 files 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 Storyteller loads about 391 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 153 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 153 words (~391 tokens).
“Use this as the primary analytics skill for structured data. It now absorbs the repo's audit, comparison, statistics, pivot, experiment, and time-series helpers.”
- name
- data-storyteller
Files
SKILL.md and 16 other files (scripts) in data-storyteller of dkyazzentwatwa/chatgpt-skills.
- SKILL.md
- .DS_Store
- agents/openai.yaml
- scripts/ab_test_calc.py
- scripts/budget_analyzer.py
- scripts/correlation_explorer.py
- scripts/data_converter.py
- scripts/data_quality_auditor.py
- scripts/data_storyteller.py
- scripts/dataset_comparer.py
- scripts/outlier_detective.py
- scripts/pivot_table_generator.py
- scripts/requirements.txt
- scripts/roi_calculator.py
- scripts/statistical_analyzer.py
- scripts/survey_analyzer.py
- scripts/ts_decomposer.py
Open the folder on GitHubat commit 103b430
Compare with similar skills
Data Storyteller 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 Storyteller this skilldkyazzentwatwa/chatgpt-skills | 116 | — | ~391 | Automated safety check: Pass | None | |
| MatplotlibzLanqing/codex-claude-academic-skills | 4.7k | 17 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Chart Visualizationbytedance/deer-flow | 84k | 1 repos | ~840 | Automated safety check: Pass | MIT | |
| TimesFM Forecastinggoogle-research/timesfm | 34k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 |
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Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Chart Visualization
bytedance/deer-flow
Picks a suitable chart type from 26 options for your data, maps the data to that chart's parameters and generates a chart image through a JavaScript script.
TimesFM Forecasting
google-research/timesfm
Forecasts any univariate time series zero-shot with Google's TimesFM model, returning point forecasts and calibrated prediction intervals without training.
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Questions about Data Storyteller
What does Data Storyteller do?
Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Data Storyteller is an agent skill from dkyazzentwatwa/chatgpt-skills. Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries.
When should I use Data Storyteller?
Data Storyteller fits situations like: exploratory analysis and executive-ready outputs.
How do I install Data Storyteller in Claude Code?
Run `npx skills add dkyazzentwatwa/chatgpt-skills --skill data-storyteller -a claude-code`. Or copy the skill folder (data-storyteller in dkyazzentwatwa/chatgpt-skills) into .claude/skills/data-storyteller in your project. Claude Code loads it when a task matches its description.
How do I install Data Storyteller in Codex?
Run `npx skills add dkyazzentwatwa/chatgpt-skills --skill data-storyteller -a codex`. Or copy the skill folder (data-storyteller in dkyazzentwatwa/chatgpt-skills) into .agents/skills/data-storyteller in your project. Codex loads it when a task matches its description.
Can I use Data Storyteller 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 dkyazzentwatwa/chatgpt-skills --skill data-storyteller -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-storyteller, .gemini/skills/data-storyteller, .github/skills/data-storyteller and .opencode/skills/data-storyteller in your project.
What does Data Storyteller need to run?
Going by SKILL.md and its folder, Data Storyteller needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Data Storyteller 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 Storyteller 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 Storyteller use?
No licence was found for Data Storyteller or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Data Storyteller use?
About 391 tokens (SKILL.md is roughly 1.6k 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 Storyteller?
Skills that share tags, products or a category with Data Storyteller: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Storyteller?
dkyazzentwatwa (a GitHub user) maintains it in dkyazzentwatwa/chatgpt-skills, which has 116 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on April 8, 2026.
Source: dkyazzentwatwa/chatgpt-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.