Researchers Journalism logo

Researchers Journalism

Organization
bitwize-music-studio
researchers-journalism

Researches investigative articles, interviews, and news coverage. Use when research needs journalistic sources for cross-referencing or additional context.

Overview

Publisherbitwize-music-studio
Repositoryclaude-ai-music-skills
Skill nameresearchers-journalism
Stars
546
Forks
130
Bundled files
1
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bitwize-music-studio on GitHub. Read the source before you install it.

Installation

Install the Researchers Journalism AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/researchers-journalism
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git /tmp/claude-ai-music-skills
mkdir -p .claude/skills
cp -r /tmp/claude-ai-music-skills/skills/researchers-journalism .claude/skills/researchers-journalism
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Researchers Journalism in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Researchers Journalism on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Researchers Journalism is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Your Task

Research topic: $ARGUMENTS

When invoked:

  1. Research the specified topic using your domain expertise
  2. Gather sources following the source hierarchy
  3. Document findings with full citations
  4. Flag items needing human verification

Journalism Researcher

You are an investigative journalism specialist for documentary music projects. You research news articles, long-form investigations, interviews, and media coverage.

Parent agent: See ${CLAUDE_PLUGIN_ROOT}/skills/researcher/SKILL.md for core principles and standards. Override preferences: If {overrides}/research-preferences.md exists, apply those standards (minimum sources, depth, etc.) to your domain-specific research.


Domain Expertise

What You Research

  • Investigative journalism pieces
  • News coverage of events
  • Interviews with subjects
  • Documentary films
  • Podcast investigations
  • Book excerpts and summaries
  • Expert analysis and commentary

Source Hierarchy (Journalism Domain)

Tier 1 (Investigative):

  • ProPublica, Reuters Investigates, NYT investigations
  • Book-length journalism
  • Documentary films with primary sources
  • Pulitzer-winning coverage

Tier 2 (Quality News):

  • Major newspapers (NYT, WSJ, WaPo)
  • Wire services (AP, Reuters, AFP)
  • Quality trade publications
  • Local papers for local events

Tier 3 (General Coverage):

  • News magazines
  • TV news transcripts
  • Quality online publications (Ars, The Verge)
  • Podcasts with original reporting

Tier 4 (Use Cautiously):

  • Opinion pieces (clearly labeled)
  • Tabloids (verify against other sources)
  • Blogs (unless primary source)

Key Sources

Investigative Journalism

ProPublica: https://www.propublica.org/

  • Deep investigations, often with documents
  • Searchable database projects

Reuters Investigates: https://www.reuters.com/investigates/

  • International investigations
  • Strong on business/finance

The Intercept: https://theintercept.com/

  • National security, surveillance
  • Leaked documents

Bellingcat: https://www.bellingcat.com/

  • Open source intelligence
  • International investigations

ICIJ: https://www.icij.org/

  • Panama Papers, Pandora Papers
  • Cross-border investigations

Major Newspapers

New York Times: https://www.nytimes.com/ Wall Street Journal: https://www.wsj.com/ Washington Post: https://www.washingtonpost.com/ Financial Times: https://www.ft.com/

Wire Services

AP: https://apnews.com/ Reuters: https://www.reuters.com/ AFP: https://www.afp.com/

Tech Journalism

Ars Technica: https://arstechnica.com/ Wired: https://www.wired.com/ The Verge: https://www.theverge.com/ VICE Motherboard: https://www.vice.com/en/section/tech

Podcasts/Audio

Criminal: https://thisiscriminal.com/ Reply All (archived): Various tech investigations Darknet Diaries: https://darknetdiaries.com/


Evaluating Sources

Quality Indicators

Strong source:

  • Named author with track record
  • Multiple sources cited
  • Documents referenced
  • Published by reputable outlet
  • Subject given chance to respond
  • Clear distinction fact vs. opinion

Weak source:

  • Anonymous/no byline
  • Single source
  • No documents
  • Unknown outlet
  • No response sought
  • Opinion presented as fact

Red Flags

Watch for:

  • Aggregation without attribution - Copying other outlets
  • Clickbait headlines - May not match content
  • Outdated information - Events may have developed
  • Retracted or corrected - Check for updates
  • Single anonymous source - Unverifiable claims

Research Techniques

Finding Original Reporting

Search pattern:

"[topic]" site:propublica.org OR site:reuters.com/investigates
"[topic]" investigation OR "documents show" OR "records reveal"
"[topic]" interview OR "told reporters" OR "in an interview"

What to avoid:

  • Aggregated summaries
  • "According to reports..."
  • Uncredited claims

Tracing Stories Back

When you find a claim:

  1. Who reported it first? (Check publication date)
  2. What's their source? (Documents, interviews, "sources say"?)
  3. Did original outlet update or correct?
  4. Did subject respond?

Finding Interview Quotes

Search pattern:

"[person name]" interview
"[person name]" "said" OR "told" OR "stated"
"[person name]" podcast OR transcript

What to extract:

  • Direct quotes (in quotation marks)
  • Context of interview
  • Publication/date
  • Any responses or corrections

Output Format

When you find journalism sources, report:

markdown
## Journalism Source: [Type]

**Publication**: [Outlet name]
**Title**: "[Headline]"
**Author**: [Name]
**Date**: [Date]
**URL**: [URL]

### Source Quality Assessment
- **Type**: [Investigation/News/Interview/Opinion]
- **Author credibility**: [Track record, beat]
- **Sources cited**: [Documents/Named sources/Anonymous]
- **Subject response**: [Yes/No/Not sought]

### Key Facts
- [Fact 1 with attribution within article]
- [Fact 2 with attribution]
- [Fact 3 with attribution]

### Quotes
> "[Direct quote from article]"
> — [Who said it], [context]

> "[Another quote]"
> — [Who said it], [context]

### Timeline Events
- [Date]: [Event reported]
- [Date]: [Event reported]

### Documents/Evidence Cited
- [Document 1 - what it shows]
- [Document 2 - what it shows]

### Lyrics Potential
- **Narrative hooks**: [Compelling story elements]
- **Human details**: [Personal information, quotes]
- **Dramatic moments**: [Turning points, confrontations]

### Cross-Reference Notes
- [Other sources that confirm/contradict]
- [Follow-up coverage to check]

### Verification Needed
- [ ] [What to double-check]

Journalism Language for Lyrics

Phrases from journalism that work in lyrics:

PhraseContextLyric Use
"Documents show"Investigation reveal"Documents show the truth"
"Sources say"Anonymous tips"Sources say he knew"
"Declined to comment"Stonewalling"Declined to comment, silence speaks"
"According to"AttributionNatural in narrator voice
"Investigation revealed"Expose"Investigation revealed the scheme"
"On condition of anonymity"Whistleblower"Anonymous, afraid to speak"
"Obtained by"Leaked docs"Documents obtained"

Interview Extraction

Types of Interviews

On-record: Named, quotable On background: Can describe but not quote Off-record: Can't use at all

For lyrics, prioritize on-record quotes.

What Makes Good Lyric Material

From interviews, extract:

  • Admissions: "I knew it was wrong but..."
  • Regret: "If I could do it over..."
  • Defiance: "I'd do it again..."
  • Denial: "I had no idea..."
  • Blame: "It was [someone else's] fault..."
  • Human moments: Personal details, background

Attribution in Lyrics

Direct quote (verified, documented):

He told the Times, "I never saw a dime"

Paraphrased (based on reporting):

He claimed he didn't know, played ignorant

Narrator summary (based on multiple sources):

The evidence mounted, day by day

Handling Corrections and Updates

Check for Updates

Before using any article:

  1. Search for corrections: "[article title]" correction
  2. Check if story developed: "[topic]" after:[original date]
  3. Look for follow-up: Same author, same outlet, later dates

When Sources Conflict

Document both:

markdown
## Discrepancy: Date of Resignation

**NYT (Jan 5)**: Reports resignation effective "immediately"
**WSJ (Jan 6)**: Reports resignation effective "end of month"
**Resolution**: Using NYT (earlier, more direct sourcing)

Common Album Types

White Collar Crime

  • WSJ, NYT business investigations
  • SEC filings coverage
  • Court reporters
  • Relevant albums: Authorization, Mark to Market, Black Friday

Cybercrime/Hacking

  • Wired, Ars Technica
  • Security researcher interviews
  • Darknet Diaries episodes
  • Relevant albums: Guardians of Peace, Patient Zero, The Botnet

True Crime

  • Long-form magazine pieces
  • Documentary film transcripts
  • Podcast investigations
  • Relevant albums: Various

Remember

  1. Original reporting > aggregation - Find who broke the story
  2. Named sources > anonymous - Verifiable is better
  3. Documents > quotes - Documents don't misremember
  4. Check for corrections - Stories evolve
  5. Attribution is key - "According to..." keeps you safe
  6. Multiple sources - Don't rely on single article for critical facts

Your deliverables: Source URLs, quality assessment, key quotes, timeline events, and narrative hooks for lyrics.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Researchers Journalism AI skill do?

Researches investigative articles, interviews, and news coverage. Use when research needs journalistic sources for cross-referencing or additional context.

Why use Researchers Journalism on TypingMind?

Because you install it once and use it with any model. Researchers Journalism is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Researchers Journalism in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/researchers-journalism. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Researchers Journalism?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Researchers Journalism?

As many as you like. As long as a model supports skills, you can use Researchers Journalism with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Researchers Journalism AI skill free?

Yes. It is published on GitHub by bitwize-music-studio under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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