Person Dossier
SkillDocs & knowledgeBuild and update person dossiers from communication history. Use when a person is discussed for strategy, follow-up, opportunities, relationship context, or decisions. Use relevant authorized evidence from Front email, Granola summaries, scoped memory, and event metadata; then write/update a structured dossier in Vault/Resources/.
Use Person Dossier in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Person Dossier and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Person Dossier skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by joelhooks/joelclaw in skills/person-dossier/SKILL.md and read by Ahel’s review.
Build or refresh a dossier when relationship research is requested. An incidental mention is not a dossier request. Use only relevant authorized sources.
Trigger
Relevant requests include:
- strategy or planning conversations
- follow-up decisions
- relationship context questions
- opportunity/deal/property discussions
Output Path
Vault/Resources/<Person Name> - Dossier.md
Required Sections
- All Email Threads
- Key Topics Discussed
- Projects Mentioned
- Properties or Deals Referenced
- Timeline of Interactions
- Current Status of Open Items
Workflow
1. Validate runtime and auth
secrets status
secrets lease front_api_token --ttl 15m
If secrets service is down:
secrets serve &
2. Resolve identifiers
Collect:
- primary name
- known email(s)
- aliases/handles
Use these as query inputs for all sources.
3. Pull Front threads (primary)
joelclaw email inbox -q "<person name>" -n 200
joelclaw email inbox -q "from:<email-or-handle>" -n 200
Read each matching conversation:
joelclaw email read --id <cnv_id>
4. Pull Granola meetings
List meetings in a practical window:
granola meetings --range this_week
granola meetings --range this_month
For each candidate meeting ID:
Use recall and the current session-search contract. Keep private queries in structured MCP arguments. Raw evidence requires a scope-bound evidenceDrilldownReceipt; missing projections do not grant raw access.
5. Pull Brain-backed recall context
Use recall and the current session-search contract. Keep private queries in structured MCP arguments. Raw evidence requires a scope-bound evidenceDrilldownReceipt; missing projections do not grant raw access.
6. Pull event timeline context
joelclaw events --hours 720 --count 200
joelclaw events --prefix meeting --hours 720 --count 200
7. Normalize extracted data
Populate these buckets from evidence:
- email threads: subject, conversation id, participants, last activity date
- topics: recurring discussion themes
- projects: named initiatives
- properties/deals: assets, opportunities, transactions
- timeline: dated interaction entries by channel
- open items: owner, status, due date, next step
8. Create or update dossier markdown
If file does not exist: create from template.
If file exists: update in-place.
Update rules:
- append new timeline entries without removing older ones
- dedupe by stable key (
channel + source_id + date + summary) - merge open item status updates instead of creating duplicates
- keep
VerifiedandInferredlabels on each material claim - refresh
Last Updatedtimestamp
9. Record evidence and confidence
Each section must indicate provenance:
Verified from Front threadVerified from Granola meetingInferred from Brain-backed recall/event context
Never present inferred content as verified.
10. Blocker handling
If blocked:
- record exact technical error text
- try authorized event metadata or scoped recall; do not bypass transcript access requirements
- produce a blocked dossier with explicit gaps
- include exact next-run commands
No silent partials.
Dossier Template
# <Person Name> - Dossier
## Identity
- Name: <name>
- Emails: <email1>, <email2>
- Aliases: <alias1>, <alias2>
- Last Updated: YYYY-MM-DD
## 1. All Email Threads with <Person Name>
- Thread: <subject>
- Conversation ID: <cnv_id>
- Last activity: YYYY-MM-DD
- Evidence: Verified from Front thread
## 2. Key Topics Discussed
- <topic> (Verified/Inferred)
## 3. Projects Mentioned
- <project> (Verified/Inferred)
## 4. Properties or Deals Referenced
- <item> (Verified/Inferred)
## 5. Timeline of Interactions
- YYYY-MM-DD | <channel> | <summary> | <source_id>
## 6. Current Status of Open Items
- Item: <description>
- Owner: system owner | other person | unknown
- Status: open | blocked | closed
- Next step: <text>
- Due: YYYY-MM-DD | unknown
- Evidence: <source>
## Evidence Index
- Front conversation IDs: <list>
- Granola meeting IDs: <list>
- Memory queries: <list>
- Event windows: <list>
## Blockers
- <none or error text>
Quick Build Command Set
Use recall and the current session-search contract. Keep private queries in structured MCP arguments. Raw evidence requires a scope-bound evidenceDrilldownReceipt; missing projections do not grant raw access.
Quality Bar
- No fabricated facts
- Open items always include owner
- Timeline uses concrete dates whenever available
- Verified and inferred content clearly separated
Signals
- GitHub stars
- 64
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
person-dossier- Source
- github.com/joelhooks/joelclaw
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