Fragmentation Story

Produce a fragmentation story for: $ARGUMENTS

$ARGUMENTS is one or more movement leaders — either the folder slug (alan-hirsch, andy-crouch) or a full name (Alan Hirsch). Multiple leaders may be passed; handle each independently and write a separate story for each.

What This Skill Produces

For each named leader, a single markdown file at docs/movement_leader_research/{slug}/fragmentation-story.md containing:

1. The narrative opening — 2–4 paragraphs telling their specific story of informational and relational fragmentation. Not a template. Names, specific counts, specific places. The reader should feel the scatter.
2. Informational fragmentation map — an exhaustive inventory of every surface where their content lives, with titles and locations filled in to the level the research supports.
3. Relational fragmentation map — where their relationships, networks, and collaborations live (and don't live).
4. The synthesis — a short closing that makes the picture legible: what fraction of their work is retrievable, what is trapped, what is invisible.

This is not generic. Blank fields must be labeled UNKNOWN — needs research so the gaps are as honest as the findings.

Step 1 — Resolve the leader

1. Normalize the argument. If a full name was passed, slugify it (Alan Hirsch → alan-hirsch). If passed a slug, use it directly.
2. Check docs/movement_leader_research/{slug}/ exists. If not, also check docs/movement_leader_research/profiles/{slug}/. If neither exists, stop and tell the user no research folder was found — point them at /author-research to create one.
3. Note the folder path you resolved for the rest of the run.

Step 2 — Inventory the available research

Read, in order of priority, whichever of these exist inside the resolved folder:

• sources.md — raw source list, often with URLs
• profile/ — identity.md, biography.md, theology.md, voice-analysis.md, calling-profile.md
• content/books.md, content/articles.md, content/academic.md, content/audio.md, content/videos.md, content/courses.md, content/frameworks.md, content/content-audit.md
• digital-presence/websites.md, digital-presence/social-media.md, digital-presence/newsletters.md, digital-presence/platforms.md
• summary.md, network/organizations.md, analysis/audience-analysis.md
• _misc/ helpers — content-analysis-root.md, digital-presence-discovery.md, network/ (collaborators, endorsements, events), media/ (citations, press-coverage, reviews)
• _staff/ helpers — gap-analysis.md, plus the older legacy/ ALL-CAPS profiles ({NAME}_CONTENT_AUDIT.md, {NAME}_AUTHOR_PROFILE.md, {NAME}_ORGS.md, {NAME}_TIMELINE.md) only if present — a freshly researched leader has the categorized files above instead
• For Alan Hirsch specifically, also read docs/movement_leader_research/alan-hirsch-baseline-report.md — it has high-confidence counts and constraint analysis.

Use Glob (docs/movement_leader_research/{slug}/**/*.md) to see the full tree, then Read each relevant file. Do not guess at content that is not in the research. Mark gaps honestly.

Step 3 — Build the informational inventory

For every category below, list specific titles with specific locations (URL, filesystem path, publisher, platform name). If a category has no evidence in the research, write UNKNOWN — needs research rather than omitting it.

Required categories (include all, even when empty):

1. Books — title, publisher, year, co-authors, where it's actually sold/distributed (Amazon, IVP, publisher site), audiobook status
2. Academic / peer-reviewed work — dissertations, chapters, journal articles, with the journal/publisher name
3. PDFs & downloadable documents — whitepapers, Lausanne papers, study guides; where they're hosted (if known)
4. Articles / essays — platform + title + year; note any that exist only as links that may be dead
5. Blogs / personal writing — every blog surface they've used (Substack, Medium, personal site, guest posts on Forge/Saturate/etc.)
6. Websites they control or co-own — personal domain, org sites, legacy project sites
7. Social media — each account with the handle, platform, approximate follower count if known, posting frequency if known
8. Newsletters / email — platform (Substack, Mailchimp, ConvertKit), list size if known, cadence
9. Podcasts (hosted) — shows they own/host, where they publish
10. Podcasts (guest appearances) — every named episode/show from the research
11. YouTube / video — own channel (or absence of one), videos on other channels by name
12. Sermons / teaching audio — church archives, conference recordings, specific series if named
13. Talks / conference presentations — conference name, year, topic if known
14. Courses — seminary, online platform, self-hosted; platform name and institution
15. Assessments / tools — APEST, diagnostic instruments, apps they've built; where they live
16. Apps / software platforms — any digital products
17. Notes / laptop / unpublished — explicitly label this UNKNOWN — likely substantial, not yet catalogued unless the research says otherwise
18. Their own head / embodied knowledge — frameworks that exist primarily through speaking, consulting, coaching; 1-on-1 wisdom not yet externalized

For each item where a URL exists in the research, include the URL. For each that is hinted at but unverified, add (unverified).

Step 4 — Build the relational inventory

1. Organizations — founded, board roles, advisory relationships (with org names)
2. Co-authors and frequent collaborators — names, which works they co-created
3. Networks / movements — the communities they are nodes in (Forge, Exponential, Lausanne, 100M, etc.)
4. Seminary / academic affiliations — institutions, role titles
5. Mentors and protégés — if the research names them
6. Where relationships are stored — CRM? Personal address book? Mental rolodex? Email history? Mark honestly — usually this is the most fragmented layer.

Step 5 — Write the narrative

The file must open with prose that tells this person's story, not a template. Use the specific numbers the research supplies. Good opens look like:

Alan Hirsch has written 20 books across 7 publishers over 21 years. More than 150,000 people have taken his APEST assessment. And if you try to follow his thinking from first book to current frame, you cannot — because there is no path. The books live on Amazon. The assessment lives on 5qcentral.com with no onward journey. His articles are scattered across Saturate, Verge, Exponential, and a static Squarespace at alanhirsch.org. His 38+ videos live on 20+ third-party YouTube channels. He does not have his own...

Bad opens look like: "Leader X has a significant body of work spread across multiple channels." Do not write that.

Follow the opening with the informational map, the relational map, and a one-paragraph synthesis that states explicitly: how retrievable their knowledge is, what fraction is embodied vs. externalized, what the single largest pool of "trapped" value is.

Step 6 — Output

Write the file to docs/movement_leader_research/{slug}/fragmentation-story.md.

Use this heading structure exactly:

# {Full Name}: The Fragmentation Story

> Generated {YYYY-MM-DD} by the `fragmentation-story` skill from existing
> research in `docs/movement_leader_research/{slug}/`.

## The Story

{2–4 paragraphs of specific narrative}

## Informational Fragmentation

### Books
### Academic Work
### PDFs & Documents
### Articles
### Blogs & Personal Writing
### Websites
### Social Media
### Newsletters / Email
### Podcasts (Hosted)
### Podcasts (Guest)
### YouTube & Video
### Sermons / Teaching Audio
### Talks / Conferences
### Courses
### Assessments & Tools
### Apps / Software
### Notes, Laptop, Unpublished
### Embodied / In Their Head

## Relational Fragmentation

### Organizations
### Co-authors & Collaborators
### Networks & Movements
### Academic Affiliations
### Mentors, Protégés, Key Relationships
### Where Relationships Are Actually Stored

## Synthesis

{one paragraph}

## Research Provenance

- Source folder: `docs/movement_leader_research/{slug}/`
- Files read: {list the files you actually read}
- Confidence: {one sentence — what's well-evidenced vs. what's thin}
- Gaps requiring further research: {bullet list of the biggest UNKNOWNs}

If the user passed multiple leaders, repeat Step 2 through Step 6 for each, then print a short summary to the user listing each file you wrote.

Quality Bar

• Specific, not generic. Titles, URLs, platforms, handles. If the research has them, the story has them.
• Honest gaps. UNKNOWN — needs research beats a plausible invention.
• No downstream recommendations. This skill diagnoses fragmentation; it does not prescribe the Movemental platform response. That's a different document.
• Do not recompute from scratch. The point is to organize what's already been researched, not to re-scrape. If a category is genuinely empty after reading everything, say so.