claude-plugins-journalism

Query the US DOJ Foreign Agents Registration Act (FARA) public eFile API — look up registrants, their foreign principals, short-form registrants, and PDF filing URLs. Use whenever the user mentions FARA, FARA.gov, efile.fara.gov, foreign agents, foreign-principal filings, foreign lobbying disclosures, or needs to enrich people/company records with FARA registration data, even when they don't explicitly say "FARA API".

Generate investigative journalism tipsheets from unfamiliar data collections. Use this skill whenever a user provides a dataset, document collection, database, or other raw material and wants to find leads, signals, patterns, outliers, or story tips — especially when the data is large, messy, or unfamiliar. Also trigger when the user says things like "what's in here", "anything interesting in this data", "find me leads", "tipsheet", "story ideas from this", "what jumps out", or when they drop a large dataset and want an initial assessment. This skill handles everything from a single CSV to multi-gigabyte collections with millions of records.

Extract structured data from documents that resist standard parsing, such as redacted records, scanned forms, inconsistent tables, and OCR artifacts. Use this skill when a journalist needs to transform messy PDFs or images into structured JSON with full provenance tracking. Triggers on requests involving FOIA documents, court records, financial disclosures, government forms, leaked documents, or any document described as "hard to parse," "scanned," "redacted," or "inconsistent."

Run Python scripts with automatic dependency management using uv. Use when executing Python code that may have package dependencies, when the user doesn't have a Python environment set up, or when you need isolated script execution without polluting system packages. Handles dependency installation automatically—no manual pip install or virtual environment setup required.

Analyze preprocessed data for investigative journalism with full transparency. Use when a journalist has clean, preprocessed data ready for analysis and needs to identify patterns, anomalies, relationships, or statistical findings that support a story. Triggers include requests to analyze data, find patterns, identify outliers, cross-reference records, calculate statistics, or answer specific investigative questions. Complements the structured-data-preprocessing skill. Emphasizes simple, legible analyses over complex methods—every finding must be explainable to editors and defensible under scrutiny.

Preprocessing workflow for journalistic data analysis emphasizing transparency, provenance, and human oversight. Use when: (1) Loading messy data files (Excel, CSV, JSON) into analysis-ready format, (2) Auditing data quality before analysis, (3) Cleaning data with full transformation documentation, (4) Preparing data for investigative journalism projects. Core principle: No silent transformations—every change is documented and approved.