assistant-claw/skills/claw-boss-distiller/ADAPTER.md

Adapter: nuwa-skill → claw-boss-distiller

We vendor upstream/ (= alchaincyf/nuwa-skill, MIT) and adapt it for our specific job: distill a private boss from their own private email corpus.

What we keep from nuwa

• 5-layer output structure (Expression DNA / Mental Models / Decision Heuristics / Anti-Patterns / Honest Boundaries) — directly applicable
• Triple verification (cross-domain / generative / exclusive) — same logic, prevents random one-off comments from being elevated to "the boss's mental model"
• Quality self-check (references/extraction-framework.md § 六) — copy verbatim
• 6-bucket collection paradigm — but rewired (see below)
• Phase 4 validation (sanity / edge / voice) — keep as-is, just substitute the test set
• Honest Boundaries discipline — never invent, mark "信息不足"

What we replace

nuwa default	Atlas adaptation	Why
Public figure (Munger, Jobs, etc.)	Private boss at one client	The whole point — we cannot search "what does Boss X think about Y" online; we have only their email corpus
6 web-search agents (books / podcasts / Twitter / external views / decisions / timeline)	6 email-bucket agents (see below)	No public corpus; the email corpus is the data
Output as standalone perspective skill (xxx-perspective)	Output as boss_skill.md consumed by Atlas's other 5 skills	We don't role-play the boss — we cite their rules
Role-play activation (use Munger to analyze...)	No role-play. boss_skill.md is a rule library other skills read — never spoken in first person	We are an observer/advisor for the boss, not an impersonator
Public release	Private to the client deployment	Privacy-critical; never leaves client network

What we add

Addition	Reason
Boss confirmation gate between draft and live	Boss owns their own model; we propose, boss disposes
Status field on every rule (draft / confirmed / retired)	Audit trail; rule lifecycle is observable
Source email IDs per rule	Boss can drill from rule → "show me the 7 emails this came from"
Quarterly diff workflow	New emails arrive constantly; rules drift; quarterly refresh + diff for boss
boss_skill.history/ archive	Every confirmed version preserved for compare

Six Email Buckets (replaces nuwa's 6 web agents)

Bucket	Scope	What we look for
B1: Outgoing-by-intent	All boss-sent emails grouped by intent (催办/决策/转交/否决/表扬)	How boss expresses each intent; boundary phrases; tells
B2: Mid-thread interventions	Threads where boss jumped in mid-conversation	High-signal moments — boss only intervenes when something matters
B3: Short replies (< 50 words)	Compressed-mode boss thinking	Reveals what boss treats as obvious; the unstated frame
B4: Long replies (> 200 words)	Reasoning-mode boss thinking	Reveals full chain of thought; the explicit frame
B5: Pressure threads	Threads with customer-side complaints / urgent escalations	How boss responds under stress; non-negotiables surface
B6: Closing threads	Threads boss explicitly closed (verbal verdict, deliverable accepted, project killed)	Decision criteria + closing language

This replaces nuwa's references/research/01–06.md collection schema. The aggregate output still lives at references/research/ but each 0X-xxx.md is now an email-bucket index, not a web-search dump.

Output Format Diff

nuwa output has ## 角色扮演规则 and ## 身份卡 sections — we delete both. Atlas's boss_skill.md is a rule library, not an impersonation.

We also delete ## 智识谱系 (intellectual lineage) — interesting for public figures, irrelevant for a private boss.

We keep, in order:

1. ## L1 — Expression DNA
2. ## L2 — Mental Models
3. ## L3 — Decision Heuristics
4. ## L4 — Anti-Patterns
5. ## L5 — Honest Boundaries
6. ## Source Index (which buckets / how many emails fed this version)
7. ## Audit Log (status changes, last reviewed, last fired counts)

Mapping Table for the Implementor

nuwa file	Atlas equivalent	Status
upstream/SKILL.md	claw-boss-distiller/SKILL.md (already written)	Done
upstream/references/extraction-framework.md	Reused as-is via upstream/	Linked
upstream/references/skill-template.md	claw-boss-distiller/boss_skill.template.md (delete role-play & 智识谱系 sections)	Done — see boss_skill.seed.md for filled example
upstream/scripts/	Possibly reused for cleanup utilities; the rest don't apply (we don't download YouTube subtitles)	Skip in V0
upstream/examples/*-perspective/	Not applicable (no public figures); keep for reference only	Reference only

Two-Pass Run Pattern (V0 default)

Pass 1 — Cold Start (W1 of new deployment)

• Input: 6 months of boss outgoing email
• 6 buckets populated in parallel
• Triple verification yields ~20 candidate rules
• Output: boss_skill.md v0 with all rules status: draft
• Boss audit session in W2 → bumps confirmed rules to status: confirmed

Pass N — Quarterly Refresh

• Input: 90 days of new outgoing email + override log from past 90 days
• Same 6-bucket pipeline
• Diff vs current boss_skill.md:
  • Add candidates — patterns now seen ≥ 3 times that weren't there before
  • Revise candidates — confirmed rules whose evidence has shifted
  • Retire candidates — confirmed rules with 0 fires in 90 days OR overridden ≥ 2 times
• Boss reviews diff, applies, archives prior version under boss_skill.history/YYYY-Q*.md

Why we don't simply use nuwa unchanged

• nuwa's role-play default would have Atlas speak as the boss — wrong product. We surface signals; we don't impersonate.
• nuwa's web-search agents would crash here — there's no web corpus for a private boss.
• nuwa expects the output to be the deliverable; we expect the output to be a rule library other skills consume.

But the methodology — how to distinguish a real mental model from random noise — is exactly what nuwa does well. So we vendor + adapt.