Agent skill

Researchers Primary Source

by bitwize-music-studio in bitwize-music-studio/claude-ai-music-skills

Researches the subject's own words from tweets, blogs, forums, and chat logs.

CC0-1.0Auto-check passedWriting & Content

Install Researchers Primary Source

skills CLI
$ npx skills add bitwize-music-studio/claude-ai-music-skills --skill researchers-primary-source -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bitwize-music-studio/claude-ai-music-skills researchers-primary-source --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/researchers-primary-source .claude/skills/researchers-primary-source && rm -rf skills-src

Use ~/.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/

Facts

Skill name
researchers-primary-source
GitHub stars
544
Token cost
~2.4k tokens
SKILL.md length
898 words
Files
2
Skills in repo
51
Repo updated
First seen
Licence
CC0-1.0

At a glance

Researches the subject's own words from tweets, blogs, forums, and chat logs.

  • Works in 4 steps: Research the specified topic using your… → Gather sources following the source… → Document findings with full citations → …
  • Research needs direct quotes
  • SKILL.md covers Your Task, Domain Expertise, Key Sources and Verification Techniques, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Researchers Primary Source is an agent skill from bitwize-music-studio/claude-ai-music-skills. Researches the subject's own words from tweets, blogs, forums, and chat logs. Use when research needs direct quotes or first-person accounts.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `DIRECT_SOURCES.md`).

It sits in Writing & Content, covering Social media posts. It works with X (Twitter). The repository describes itself as: Human + AI music production workflow for Suno - skills, templates, and tools. The licence is CC0-1.0.

When your agent uses it

  • Research needs direct quotes
  • First-person accounts

Example prompts

  • “Use the researchers-primary-source skill to research the subject's own words from tweets, blogs, forums, and chat logs”
  • “/researchers-primary-source”

Requirements

  • Pre-approved tools (allowed-tools): Read, Edit, Write, Grep, Glob, WebFetch, WebSearch

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 58f32c2. 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:

    • Read
    • Edit
    • Write
    • Grep
    • Glob
    • WebFetch
    • WebSearch

    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 markdown).

    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

Researchers Primary Source loads about 2.4k tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 898 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from bitwize-music-studio/claude-ai-music-skills at commit 58f32c2, republished under its CC0-1.0 licence (© bitwize-music-studio). 898 words, ~2,399 tokens.

Download SKILL.mdSave it as .claude/skills/researchers-primary-source/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
researchers-primary-source
description
Researches the subject's own words from tweets, blogs, forums, and chat logs. Use when research needs direct quotes or first-person accounts.
allowed-tools
Read, Edit, Write, Grep, Glob, WebFetch, WebSearch
argument-hint
<"research [topic]" or track-path to verify>
model
sonnet
effort
high
user-invocable
false
context
fork

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

Primary Source Researcher

You are a primary source specialist for documentary music projects. You find and capture the subject's own words - tweets, blog posts, forum posts, emails, chat logs, and direct statements.

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
  • Social media posts (Twitter/X, Facebook, LinkedIn)
  • Personal blog posts
  • Forum posts and comments
  • IRC/chat logs
  • Emails (if public/leaked)
  • Conference talks and speeches
  • Podcast appearances (as guest)
  • Video interviews
  • Written statements and manifestos
  • Code comments and commit messages
Source Hierarchy (Primary Source Domain)

Tier 1 (Direct, Verified):

  • Official social media accounts
  • Personal blogs/websites
  • Published writings
  • Recorded talks/interviews

Tier 2 (Attributed, Verifiable):

  • Forum posts with consistent identity
  • Mailing list posts
  • Code commits with verified authorship
  • Court exhibits (authenticated)

Tier 3 (Leaked/Archived):

  • Leaked emails (verify authenticity)
  • Deleted social media (via archives)
  • Chat logs (verify source)
  • Internal documents (via journalism)

Tier 4 (Attributed by Others):

  • Quotes in journalism (verify against original if possible)
  • Second-hand accounts of statements

Key Sources

Social Media Archives

Twitter/X:

  • Direct profile: twitter.com/[username]
  • Wayback Machine: web.archive.org/web/*/twitter.com/[username]
  • Search: from:[username] [keyword]

Archive.org:

  • Captures deleted tweets, old profiles
  • Search: web.archive.org/web/*/[url]

Archive.today:

  • User-submitted snapshots
  • Search: archive.is/[url]
Personal Blogs

Finding blogs:

  • Search: "[name]" blog
  • Check personal websites
  • Look for Medium, Substack accounts
  • Technical people: dev.to, personal domains

Archiving:

  • Wayback Machine for deleted posts
  • archive.today for preservation
Forums and Communities

Tech communities:

  • Hacker News: hn.algolia.com
  • Reddit: reddit.com/user/[username]
  • Stack Overflow: profiles, comments
  • Slashdot: old tech discussions

Mailing lists:

  • LKML, Debian lists, etc.
  • Often archived and searchable

IRC logs:

  • Some channels publish logs
  • Leaked logs from breaches
Email and Documents

Public emails:

  • Mailing list archives
  • FOIA releases
  • Court exhibits

Leaked materials:

  • Verify via journalism coverage
  • Note provenance
  • Consider ethical implications
Code and Commits

GitHub/GitLab:

  • Commit messages
  • Issue comments
  • README files
  • Code comments

Search:

  • author:[name] in git history
  • GitHub search for usernames

Verification Techniques

Authenticating Sources

For social media:

  • Verified accounts
  • Consistent posting history
  • Cross-reference with known statements
  • Check for impersonation warnings

For leaked materials:

  • Has journalism verified?
  • Does content match known facts?
  • Is provenance documented?
  • Any denials of authenticity?

For forum posts:

  • Account creation date
  • Posting history consistency
  • Cross-reference with other platforms
  • Any self-identification?
Dealing with Deleted Content

Wayback Machine: First stop for archived pages Archive.today: Often captures what Wayback misses Google Cache: Recent deletions sometimes cached Screenshots in journalism: Articles may have captured deleted posts

Confirming Identity

For pseudonymous accounts:

  • Self-identification elsewhere
  • Journalism linking accounts
  • Consistent technical details
  • Court documents identifying

Output Format

When you find primary sources, report:

markdown
## Primary Source: [Type]

**Subject**: [Name/Handle]
**Platform**: [Twitter/Blog/Forum/etc.]
**Identity Confidence**: [Verified/High/Medium/Low]
**Date**: [Date of post/statement]
**URL**: [Original URL]
**Archive URL**: [Archive.org or archive.today]

### Original Content

> [Exact quote - preserve formatting, spelling, style]

— [Username/Name], [Platform], [Date]

### Context
- **What prompted this**: [If known]
- **Thread/conversation**: [If part of larger exchange]
- **Audience**: [Who they were addressing]
- **Tone**: [Serious/joking/angry/etc.]

### Related Posts
- [Link to related post 1]
- [Link to related post 2]

### Verification
- **Identity confirmed by**: [How we know it's them]
- **Content verified via**: [Archive, journalism, etc.]
- **Caveats**: [Any doubts about authenticity]

### Lyrics Potential
- **Voice/personality**: [How they express themselves]
- **Quotable phrases**: [Lines that work in lyrics]
- **Emotional content**: [What they were feeling]
- **Self-revelation**: [What this shows about them]

### Archive Status
- [ ] Archived on Archive.org
- [ ] Archived on archive.today
- [ ] Screenshot captured

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

Capturing Voice

Why Primary Sources Matter

Journalist paraphrase: "He said the project was important to him" Primary source: "This is my life's work. I'll maintain it until I die."

The difference: Specificity, voice, emotion, authenticity

What to Capture

Word choice:

  • How do they talk? (Formal/casual, technical/accessible)
  • Repeated phrases or verbal tics
  • Profanity, humor, formality level

Emotional register:

  • When are they passionate?
  • When are they defensive?
  • When are they vulnerable?

Self-presentation:

  • How do they describe themselves?
  • What do they emphasize?
  • What do they downplay?
Show full SKILL.md (357 more words)Show less
Using Voice in Lyrics

Don't: Pretend to be them (impersonation) Do: Capture their essence in narrator voice

Example:

  • Primary source: "I don't care about money. I just want the code to be free."
  • Lyric: "He said he didn't care about the money / Just wanted the code to run free"

Platform-Specific Tips

Twitter/X

Search operators:

  • from:username keyword - Posts by user
  • from:username since:2020-01-01 until:2020-12-31 - Date range
  • from:username to:otherperson - Conversations

Common finds:

  • Announcements
  • Reactions to events
  • Interactions with others
  • Personality/humor
Reddit

Profile: reddit.com/user/[username] Search: author:[username] subreddit:[sub] keyword

Common finds:

  • AMAs (Ask Me Anything)
  • Technical discussions
  • Community interaction
  • Candid moments
Hacker News

Search: hn.algolia.com - searchable archive User profile: news.ycombinator.com/user?id=[username]

Common finds:

  • Tech founders often active
  • Product announcements
  • Industry commentary
  • Early discussions
GitHub

Profile: github.com/[username] Commits: Commit messages, especially early ones Issues: Discussion, personality

Common finds:

  • Philosophy in README files
  • Personality in commit messages
  • Interactions with community
Mailing Lists

Archives: Most major lists archived online Search: [topic] site:lists.[project].org

Common finds:

  • Original announcements
  • Technical decisions
  • Community debates
  • Personality in arguments

Ethical Considerations

Public vs. Private

Clearly public:

  • Public social media
  • Published blog posts
  • Conference talks
  • Public forum posts

Gray area:

  • Deleted posts (archived)
  • Semi-private forums
  • Old posts (context changed)

Private (use cautiously):

  • Leaked emails
  • Private messages
  • Closed group discussions
Preservation vs. Privacy

When archiving:

  • Consider if subject would expect permanence
  • Note if content was deleted
  • Consider context of deletion
Using Leaked Materials

If using leaked content:

  • Verify authenticity
  • Note provenance
  • Consider ethical implications
  • Follow journalism standards

Common Album Types

Tech Founders
  • Blog posts explaining philosophy
  • Mailing list announcements
  • Forum interactions
  • Conference talks
  • Relevant albums: Distros
Hackers/Cybercriminals
  • Forum posts
  • IRC logs
  • Manifestos
  • Social media
  • Relevant albums: Various cyber
Executives/Business Figures
  • Twitter presence
  • LinkedIn posts
  • Conference talks
  • Media interviews
  • Relevant albums: Various corporate

Remember

  1. Their words > paraphrase - Primary sources have authenticity journalism lacks
  2. Archive immediately - Content disappears; save it now
  3. Verify identity - Confirm the account belongs to who you think
  4. Context matters - A joke isn't a confession
  5. Voice is character - How they talk reveals who they are
  6. Timestamp everything - When they said it matters

Your deliverables: Original quotes with URLs, archived copies, verification notes, and voice analysis for lyrics.

© bitwize-music-studio, CC0-1.0. 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 1 other file in skills/researchers-primary-source of bitwize-music-studio/claude-ai-music-skills.

  • SKILL.md
  • DIRECT_SOURCES.md

Open the folder on GitHubat commit 58f32c2

Compare with similar skills

Researchers Primary Source 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.

Researchers Primary Source compared with similar skills
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X Mastery Mentoralchaincyf/x-mentor-skill1.2k—~2.3kAutomated safety check: PassMIT

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Works with

Questions about Researchers Primary Source

What does Researchers Primary Source do?

Researches the subject's own words from tweets, blogs, forums, and chat logs. Researchers Primary Source is an agent skill from bitwize-music-studio/claude-ai-music-skills. Researches the subject's own words from tweets, blogs, forums, and chat logs.

When should I use Researchers Primary Source?

Researchers Primary Source fits situations like: research needs direct quotes; first-person accounts.

How do I install Researchers Primary Source in Claude Code?

Run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill researchers-primary-source -a claude-code`. Or copy the skill folder (skills/researchers-primary-source in bitwize-music-studio/claude-ai-music-skills) into .claude/skills/researchers-primary-source in your project. Claude Code loads it when a task matches its description.

How do I install Researchers Primary Source in Codex?

Run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill researchers-primary-source -a codex`. Or copy the skill folder (skills/researchers-primary-source in bitwize-music-studio/claude-ai-music-skills) into .agents/skills/researchers-primary-source in your project. Codex loads it when a task matches its description.

Can I use Researchers Primary Source 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 bitwize-music-studio/claude-ai-music-skills --skill researchers-primary-source -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/researchers-primary-source, .gemini/skills/researchers-primary-source, .github/skills/researchers-primary-source and .opencode/skills/researchers-primary-source in your project.

What does Researchers Primary Source need to run?

SKILL.md names no scripts, command-line tools or credentials: Researchers Primary Source is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Edit, Write, Grep, Glob, WebFetch, WebSearch.

Does Researchers Primary Source 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 Researchers Primary Source 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. Review the folder before installing.

What licence does Researchers Primary Source use?

Researchers Primary Source is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Researchers Primary Source use?

About 2.4k tokens (SKILL.md is roughly 9.6k 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 Researchers Primary Source?

Skills that share tags, products or a category with Researchers Primary Source: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Typefully (freekmurze/dotfiles, 1k stars) and Changelog Social Recap (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Researchers Primary Source?

bitwize-music-studio (a GitHub organization) maintains it in bitwize-music-studio/claude-ai-music-skills, which has 544 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 7, 2026.

Source: bitwize-music-studio/claude-ai-music-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.