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anthropics/skills
Builds multi-component claude.ai HTML artifacts as a small React, TypeScript and Tailwind project, then bundles it into one shareable HTML file.
Exhaustively profile a dataset and list ALL possible analyses — distributions, correlations, rankings, trends, group comparisons, anomalies.
Install Analyst
$ npx skills add QinghongLin/data2story-skill --skill analyst -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install QinghongLin/data2story-skill analyst --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/QinghongLin/data2story-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/data2story/analyst .claude/skills/analyst && 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 "analyst" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/analyst into .claude/skills/analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyst", 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/QinghongLin/data2story-skill/tree/main/skills/data2story/analystType 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 QinghongLin/data2story-skill --skill analyst -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install QinghongLin/data2story-skill analyst --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/data2story/analyst .agents/skills/analyst && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyst" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/analyst into .agents/skills/analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyst", 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 QinghongLin/data2story-skill --skill analyst -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install QinghongLin/data2story-skill analyst --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/data2story/analyst .cursor/skills/analyst && 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 "analyst" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/analyst into .cursor/skills/analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyst", 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/QinghongLin/data2story-skill.git --path skills/data2story/analyst--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 QinghongLin/data2story-skill --skill analyst -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install QinghongLin/data2story-skill analyst --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/data2story/analyst .gemini/skills/analyst && 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 "analyst" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/analyst into .gemini/skills/analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyst", 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 QinghongLin/data2story-skill analystInstalls 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 QinghongLin/data2story-skill --skill analyst -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/data2story/analyst .github/skills/analyst && 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 "analyst" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/analyst into .github/skills/analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyst", 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 QinghongLin/data2story-skill --skill analyst -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install QinghongLin/data2story-skill analyst --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QinghongLin/data2story-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/data2story/analyst .opencode/skills/analyst && 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 "analyst" agent skill from https://github.com/QinghongLin/data2story-skill/tree/main/skills/data2story/analyst into .opencode/skills/analyst/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyst", 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
analyst- GitHub stars
- 156
- Token cost
- ~1.2k tokens
- SKILL.md length
- 525 words
- Files
- 5 (incl. references)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- MIT
At a glance
Exhaustively profile a dataset and list ALL possible analyses — distributions, correlations, rankings, trends, group comparisons, anomalies.
- Works in 5 steps: Dataset Profile → Field Inventory → All Possible Analyses → …
- Frontend & Design work in your project
- SKILL.md covers Setup, Steps, Output and Scientific Paper Mode
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Analyst is an agent skill from QinghongLin/data2story-skill. Exhaustively profile a dataset and list ALL possible analyses — distributions, correlations, rankings, trends, group comparisons, anomalies. Reads detective.json for context. Outputs analyst.json with anaxx IDs and chart-ready datatables.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/data_table_rules.json`, `references/field_rules.json` and `references/paper_mode.json`).
It sits in Frontend & Design. The repository describes itself as: Data Journalist Agent: Transforming Data into Verifiable Multimodal Story. The licence is MIT.
When your agent uses it
- Frontend & Design work in your project
Example prompts
- “/analyst”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Bash(*), Read, Write, Glob, Grep
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 63a55c1. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(*)ReadWriteGlobGrep
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
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
Analyst loads about 1.2k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 525 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash(*), Read, Write, Glob, Grep
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 QinghongLin/data2story-skill at commit 63a55c1, republished under its MIT licence (© QinghongLin). 525 words, ~1,189 tokens.
Download SKILL.mdSave it as
.claude/skills/analyst/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- analyst
- description
- Exhaustively profile a dataset and list ALL possible analyses — distributions, correlations, rankings, trends, group comparisons, anomalies. Reads detective.json for context. Outputs analyst.json with ana_xx IDs and chart-ready data_tables.
- allowed-tools
- Bash(*), Read, Write, Glob, Grep
- argument-hint
- [DATA_DIR] [PROJECT_DIR]
Analyst
Your job is completeness, not curation. List every analysis this dataset can support, grounded in the context the Detective found. You are not deciding what story to tell — that is the Editor's job. You are cataloguing what the data contains.
Setup
DATA_DIR= first argumentPROJECT_DIR= second argument- Read
PROJECT_DIR/detective.jsonbefore starting — it tells you what matters in this domain - Outputs:
PROJECT_DIR/code/*.py(analysis scripts),PROJECT_DIR/analyst.json
Steps
1. Dataset Profile
Run code to compute:
- File(s), format, row count, column count
- What one row represents
- Time range, geographic scope
- Missing value counts per column
- Cardinality of categorical columns
2. Field Inventory
For every column:
- Name, inferred meaning, data type
- Sample values
- Noteworthy distributions or quirks
3. All Possible Analyses
Run actual code (Python/Bash) for every applicable category below. Record the actual numbers — not descriptions of what could be computed.
Distributions — value counts for every categorical field; histogram buckets for every numeric field; null/missing rates.
Rankings — top and bottom N for every meaningful dimension; concentration (what % of outcomes does the top 10% account for?).
Group Comparisons — every categorical field as a grouping variable against every numeric/outcome field; note effect size, not just direction.
Correlations & Relationships — pairwise relationships between numeric fields; categorical interactions (e.g. A × B → outcome).
Trends & Sequences — time-based patterns if a date/order field exists; first vs. last, early vs. late.
Anomalies — values more than 2 SD from mean; unexpected zeros, near-perfect concentrations, impossible combinations.
Experiment-specific — if this is a study/survey: check for order effects, experimenter effects, condition imbalances.
Context-informed — use detective.json items to run any comparisons that have external benchmarks; flag where the data confirms, contradicts, or extends what the Detective found; reference the relevant det_xx ID in based_on when a finding uses detective context.
Show full SKILL.md (242 more words)Show less
4. Save all code to code/
Save every script you run to PROJECT_DIR/code/. This folder is the complete verifiable record of all analysis. Every script must be runnable from DATA_DIR.
Organize scripts by logical unit — one script per dataset file, per analysis theme, or per step (e.g. load_and_profile.py, answer_distribution.py, step_analysis.py).
Mark findings in scripts so analyst.json can reference exact line ranges: start each finding's code section with a # --- ana_xx: label --- comment and print === ana_xx === before its output:
# --- ana_04: Top 20 most common answers ---
print("=== ana_04 ===")
vc = final_answers.value_counts()
print(vc.head(20))The calculation field in analyst.json then references which file + which lines produce each finding.
5. Write analyst.json
Every finding goes into analyst.json as a structured item with an ana_xx ID.
Output
Write scripts to PROJECT_DIR/code/ first, then write PROJECT_DIR/analyst.json.
References:
references/schema.json— the full output structure (meta,dataset,items,caveats).references/field_rules.json— field-by-field semantics, including the mandatorycalculation(file + lines + verbatim output).references/data_table_rules.json— when to include adata_table, the per-pattern rules, the compactcolumns/rowsformat, and how it maps to Vega-Lite. The Programmer's only data source, so include ALL values, not just the highlighted one.
Scientific Paper Mode
When DATA_DIR contains paper.pdf and metadata.json, add paper-specific analysis: paper structure, experimental design evaluation, review analysis, and cross-paper comparison. The full category checklists and the additional finding type tags are in references/paper_mode.json.
Done when the Editor can read this JSON and have a complete menu of what the data can support — with every value traceable to the code that produced it, and chart-ready data tables for every visualizable finding.
© QinghongLin, 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 4 other files (references) in skills/data2story/analyst of QinghongLin/data2story-skill.
- SKILL.md
- references/data_table_rules.json
- references/field_rules.json
- references/paper_mode.json
- references/schema.json
Open the folder on GitHubat commit 63a55c1
Compare with similar skills
Analyst 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 |
|---|---|---|---|---|---|---|
| Analyst this skillQinghongLin/data2story-skill | 156 | — | ~1.2k | Automated safety check: Notes | MIT | |
| Web Artifacts Builderanthropics/skills | 180k | 41 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| React Doctormakeplane/plane | 61k | 12 repos | ~657 | Automated safety check: Pass | AGPL-3.0 | |
| Impeccablebestofjs/bestofjs | 3.1k | 27 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Figma Design System Builderwarpdotdev/warp | 65k | 2 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Web Interface Guidelines Reviewervercel-labs/openreview | 1.7k | 97 repos | ~308 | Automated safety check: Pass | None |
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Related
Categories
Questions about Analyst
What does Analyst do?
Exhaustively profile a dataset and list ALL possible analyses — distributions, correlations, rankings, trends, group comparisons, anomalies. Analyst is an agent skill from QinghongLin/data2story-skill. Exhaustively profile a dataset and list ALL possible analyses — distributions, correlations, rankings, trends, group comparisons, anomalies.
When should I use Analyst?
Analyst fits situations like: frontend & Design work in your project.
How do I install Analyst in Claude Code?
Run `npx skills add QinghongLin/data2story-skill --skill analyst -a claude-code`. Or copy the skill folder (skills/data2story/analyst in QinghongLin/data2story-skill) into .claude/skills/analyst in your project. Claude Code loads it when a task matches its description.
How do I install Analyst in Codex?
Run `npx skills add QinghongLin/data2story-skill --skill analyst -a codex`. Or copy the skill folder (skills/data2story/analyst in QinghongLin/data2story-skill) into .agents/skills/analyst in your project. Codex loads it when a task matches its description.
Can I use Analyst 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 QinghongLin/data2story-skill --skill analyst -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyst, .gemini/skills/analyst, .github/skills/analyst and .opencode/skills/analyst in your project.
What does Analyst need to run?
SKILL.md names no scripts, command-line tools or credentials: Analyst is instructions for the agent only. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(*), Read, Write, Glob, Grep.
Does Analyst 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 Analyst safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Analyst use?
Analyst 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 Analyst use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 1.9k tokens, read only when the agent opens those files.
What are the alternatives to Analyst?
Skills that share tags, products or a category with Analyst: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), Impeccable (bestofjs/bestofjs, 3.1k stars) and Figma Design System Builder (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyst?
QinghongLin (a GitHub user) maintains it in QinghongLin/data2story-skill, which has 156 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on July 5, 2026.
Source: QinghongLin/data2story-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.