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user-model-builder

Build complete userModels for people Claudicle collaborates with. Creates core persona files, social dossiers with voice analysis, content archives, and INDEX registration. Use when asked to create a user model, build a persona, or document someone's voice and identity.

インストール方法を見る

含まれるファイル(8)

  • SKILL.md5.7 KB
  • README.md3.1 KB
  • references/frontmatter-schema.md2.3 KB
  • references/persona-model-template.md3.3 KB
  • references/review-checklist.md2.9 KB
  • references/social-dossier-template.md3.9 KB
  • references/voice-analysis-guide.md5.4 KB
  • scripts/validate_usermodel.py15.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

User Model Builder

Build a complete userModel for $ARGUMENTS following the 7-phase workflow below. Each phase must complete before moving to the next. The output is a folder at ~/.claude/userModels/{name}/ containing a core persona, platform-specific dossiers, a content archive, and INDEX registration.

Phase 1: Discovery

Gather available information about the subject before creating any files.

Determine:

  • Relationship to the user (collaborator, partner, observed figure)
  • Publishing platforms (Substack, Twitter, blog, LinkedIn)
  • Scrapeable content availability — dead domains require Wayback Machine CDX API
  • Basic identity: full name, email (~ if unknown), phone (~ if unknown), location, primary roles

Ask clarifying questions if the relationship or scope is ambiguous. Proceed autonomously once direction is clear.

Phase 2: Folder & Core Persona

Create the userModel directory and core persona file.

  1. Create ~/.claude/userModels/{name}/
  2. Write {name}Model.md following references/persona-model-template.md
  3. Frontmatter per references/frontmatter-schema.md — type: user-model, category: persona
  4. Required sections: Persona, Education (if known), Career Timeline, Worldview, Writing Voice (brief), Personal, Online Presence
  5. Adapt to subject — omit sections that don't apply, add domain-specific sections as needed

Phase 3: Content Scraping & Archive

Scrape all discoverable published content into archive/.

Per platform:

PlatformToolArchive path
SubstackFirecrawlarchive/substack/YYYY-MM-DD-slug.md
TwitterJina (Firecrawl blocks Twitter)archive/tweets/
Dead domainsWayback CDX API → Firecrawlarchive/{platform}/
LinkedInGDPR export via linkedin-export skillarchive/linkedin/

Wayback discovery:

https://web.archive.org/cdx/search/cdx?url=DOMAIN&output=json&fl=timestamp,original&collapse=urlkey

Each archived file gets frontmatter:

---
title: "Post Title"
date: YYYY-MM-DD
source_url: "https://..."
archived_from: "{platform}"
archive_date: YYYY-MM-DD
---

Naming convention: YYYY-MM-DD-slug.md (kebab-case slug from title).

Write archive/INDEX.md — table of all files with dates, titles, approximate word counts.

Phase 4: Voice Analysis & Dossiers

Read the entire archived corpus before beginning analysis. Analyze each platform's content for voice, worldview, and biographical signals.

For each platform, create a social dossier following references/social-dossier-template.md.

Frontmatter: type: social-dossier, category: {platform}-analysis, include corpus field.

Required dossier sections:

  • Source — URLs, scraping method, verification date
  • Platform Profile — Handle, legal entity, tagline, cadence, engagement metrics
  • Post/Content Index — Table: date, title, type, themes
  • Voice Analysis — Registers, tonal range, sentence mechanics, characteristic phrases. Follow references/voice-analysis-guide.md
  • Worldview Markers — Minimum 5 recurring themes with evidence
  • Biographical Signals — Per-post table of facts revealed. Separate distinct events.
  • Calibration Quotes — 10-15 verbatim quotes. Copy directly from archive files. Verify character-by-character: opening words, punctuation, emphasis, quote mark style. Never paraphrase.

Include a Voice Evolution section when the corpus spans 3+ years or crosses a major life transition.

Name dossiers descriptively: {platform}-{publication-name}.md.

Phase 5: Cross-References & Registration

Wire everything together.

  1. Add a "Supplementary Dossiers" section to {name}Model.md listing all dossiers and archive
  2. Update ~/.claude/userModels/INDEX.md:
    • Add/update the subject's section with a Files table
    • Add Data Collections subsection for archive directories
    • Add Related links (Substack, LinkedIn, etc.)

Phase 6: Review

Launch a code-reviewer subagent to audit all files against references/review-checklist.md.

Priority checks:

  1. Calibration quotes are verbatim (opening words, punctuation, quote style)
  2. Author bios are verbatim (not paraphrased)
  3. Biographical facts match source (names, dates, locations — distinct events not merged)
  4. Frontmatter schema compliance
  5. INDEX.md consistency with files on disk
  6. Cross-references resolve to real files

Fix all critical and moderate findings before declaring complete.

Automated validation:

uv run ~/.claude/skills/user-model-builder/scripts/validate_usermodel.py ~/.claude/userModels/{name}/

Phase 7: Summary

Report what was built:

  • Files created (with paths)
  • Corpus stats (post count, word count, date range)
  • Key findings (voice registers, worldview themes, biographical discoveries)
  • Suggested next steps (RLAMA collection, voice model for composition, etc.)

Reference Files

FilePurpose
references/persona-model-template.mdCore persona section skeleton
references/social-dossier-template.mdSocial dossier section skeleton
references/frontmatter-schema.mdYAML frontmatter spec for all file types
references/voice-analysis-guide.mdOpen Souls voice analysis methodology
references/review-checklist.mdPost-build verification checklist
scripts/validate_usermodel.pyStructural + quote accuracy validation

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