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Generate a living profile of the user's working patterns, decision tendencies and quality preferences from their Dex data.
Passed 2 of 9 test cases with the skill, and 2 of 9 without it.
3 fixed1 passed either way15 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am running my weekly review workflow via /week-review. After reviewing my week, should the identity model update be omitted or appended?
| Checked | Without skill | With skill |
|---|---|---|
| The weekly review appends the identity model synthesis to the review output. | Missed | Passed |
The instructions your model reads when the skill loads.
Reads existing Dex data and synthesizes System/identity-model.md — a living document the system writes, not the user. This captures who you are as a professional based on your actual behavior, not self-reported traits.
/identity-snapshot/week-review (append identity model update to review workflow)Read ALL of the following in parallel before synthesizing:
01-Quarter_Goals/Quarter_Goals.md
02-Week_Priorities/Week_Priorities.md
03-Tasks/Tasks.md
System/Session_Learnings/*.md (last 30 days)
06-Resources/Learnings/Mistake_Patterns.md
System/Skill_Ratings/ratings.jsonl
System/user-profile.yaml
Write to System/identity-model.md with this structure:
# Identity Model
*Auto-generated by Dex — last updated YYYY-MM-DD*
## Working Patterns
- Pillar balance: [distribution across pillars]
test cases passed, vs 2 / 9 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.