data2story
Data Journalist Agent (Data2Story) — orchestrator: turn a dataset into a blog. Runs detective → analyst → editor → designer → programmer → auditor → inspector in sequence. Creates a versioned project folder for each run.
npx skills add QinghongLin/data2story-skill --skill data2story --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Journalist Agent (Data2Story) Turn **$ARGUMENTS** into a blog. Orchestrates the roles below in sequence. ## Setup Resolve paths before doing anything: - Never hard-code machine-local paths and never ask the user to export path variables. - Resolve `SKILL_DIR` = the directory containing this `SKILL.md` (`.../skills/data2story`) - Resolve `ARCHIVE_DIR` = the ancestor directory that contains `skills/` (two levels up from `SKILL_DIR`, i.e. `SKILL_DIR/../..`) - Resolve `DATA2STORY_ROOT` = parent of `ARCHIVE_DIR` - Commands below use symbolic placeholders such as `ARCHIVE_DIR`; replace them with resolved, quoted paths before running Bash. - `DATA_NAME` = the dataset folder name (e.g. `pick_a_card`) - `DATA_DIR` = if `$ARGUMENTS` is an existing path, use that path; otherwise use `DATA2STORY_ROOT/data/{DATA_NAME}` - `TIMESTAMP` = current time formatted as `MMDD_HHMM` (e.g. `0401_1618`): `date +%m%d_%H%M` (run in bash) - `PROJECT_DIR` = `DATA2STORY_ROOT/project/{DATA_NAME}/blog_{MODEL}_{TIMESTAMP}` - Create `PROJECT_DIR/`, `PROJECT_DIR/assets/`, `PROJECT_DIR/code/` ## Archival Immediately after creating `PROJECT_DIR`, snapshot the current skills: ```bash mkdir -p PROJECT_DIR/archival
- Setup
- Archival
- Tools available
- Pipeline Overview
- Stage 1 — Detective
- Stage 2 — Analyst
- Stage 3 — Editor
- Stage 4 — Designer
- Stage 5 — Programmer
- Stage 6 — Auditor
- Stage 7 — Inspector
- Traceability: ID flow through the pipeline
- Handoff rules
mkdir -p PROJECT_DIR/archival cp -r ARCHIVE_DIR/skills PROJECT_DIR/archival/skills python3 SKILL_DIR/inspector/scripts/verify.py PROJECT_DIR --log-errors python3 SKILL_DIR/inspector/scripts/generate_viewer.py PROJECT_DIR
What does the data2story skill do?
Data Journalist Agent (Data2Story) — orchestrator: turn a dataset into a blog. Runs detective → analyst → editor → designer → programmer → auditor → inspector in sequence. Creates a versioned project folder for each run.
How do I install it?
Run `npx skills add QinghongLin/data2story-skill --skill data2story --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From QinghongLin/data2story-skill, a repository with 149 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.