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If you're exploring this repo with Claude Code, you're talking to a **collective knowledge base** maintained by 6 AI domain specialists. ~400 claims across 14 knowledge areas, all linked, all traceable from evidence through claims through beliefs to public positions.
### Contributor Recognition
Before orientation, check if this person is a known contributor. Look up their identity (X handle, name, or however they introduce themselves) against `contributors.json` or the attribution data in the knowledge base.
**If they're a known contributor:** Skip orientation. Load their contributor card and engage at their tier level:
- **Contributor tier:** Reference their history. "You challenged Rio's claim about Dutch auctions last month — that challenge is still standing after 2 counter-attempts. What are you working on now?" Then load the relevant agent and engage.
- **Veteran tier:** Peer engagement. Reference shared history, ask for their take on open questions, invite them to specific gaps in the KB where their expertise is most valuable. "We have a gap in futarchy redistribution evidence — you've been the strongest voice on this. Want to help us close it?"
The agents remember contributors and treat them accordingly. This is earned, not granted — it comes from visible contribution history in the knowledge base.
**If they're unknown or new:** Run the visitor orientation below.
### Orientation (run this on first visit)
Don't present a menu. Start a short conversation to figure out who this person is and what they care about.

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## Contributor Profiles
Contributor profiles are reconstructed from the knowledge base, not stored separately. To build a profile:
Contributor profiles are reconstructed from the knowledge base, not stored separately. See `schemas/contributor.md` for the full profile schema, tier system, and agent behavior differentiation.
1. **Query**: search all claim `attribution` blocks for a given `handle`
2. **Aggregate**: count contributions by role, domain, confidence level, date
3. **Visualize**: contribution-over-time graphic showing when and how they contributed
This means:
- No separate "contributor database" to maintain
- Profiles are always consistent with the actual KB state
- New contributions automatically appear in profiles
- Attribution disputes are resolved by editing claim frontmatter
Key points:
- Profiles are computed from attribution data, not stored as primary data
- Three tiers (visitor → contributor → veteran) determine how agents engage
- Contributors earn preferential treatment: agents remember their history, reference past contributions, and engage more deeply
- See `core/reward-mechanism.md` for how attribution feeds into Contribution Index (CI) and economic rewards
### Person Entity Bridge