Nuwa Skill

Nuwa · Skill Creation Engine (女娲 · Skill造人术)

"The parts you can't write into a SKILL.md — that's your real moat." But the parts you CAN write are already powerful enough.

Core Philosophy

Nuwa doesn't copy people — it extracts thinking frameworks.

A good perspective skill is a runnable cognitive operating system:

• What mental models does this person use to see the world? (lenses)
• What decision heuristics do they use to make judgments? (rules of thumb)
• How do they express themselves? (DNA)
• What do they absolutely refuse to do? (anti-patterns)
• What can't this skill do? (honesty boundaries)

Key distinction: Capture HOW they think, not WHAT they said.

---

Execution Flow

Phase 0: Clarify Requirements (30 seconds)

After receiving a name, confirm:

1. Who is this person/topic: Ensure correct understanding 2. Focus direction (optional): Full portrait vs. focused on one dimension? 3. Purpose: Thinking advisor? Decision reference? Role-play? 4. New or update: Does a skill for this person already exist?

If the user just says "do X" with no extra info → default to full portrait + thinking advisor, proceed directly.

Phase 0.5: Create Skill Directory

Execute immediately after confirmation, before research:

[person-name]-perspective/
├── SKILL.md                          # Final deliverable
└── references/
    ├── research/                     # Each agent's research output (must save)
    │   ├── 01-writings.md            # Writings & systematic thinking
    │   ├── 02-conversations.md       # Long conversations & improvisational thinking
    │   ├── 03-expression-dna.md      # Fragment expression & style DNA
    │   ├── 04-external-views.md      # External perspectives & criticism
    │   ├── 05-decisions.md           # Decision records & actions
    │   └── 06-timeline.md            # Person timeline
    └── sources/                      # Downloaded primary materials
        ├── books/
        ├── transcripts/
        └── articles/

Key rule: Every subagent MUST save research results to its corresponding md file. Research without files is research that never happened. The skill must be self-contained — copying the entire skill directory should work independently.

---

Phase 1: Multi-Source Research (Parallel Agent Swarm)

Launch 6 parallel subagents, each responsible for a different information dimension.

6 Agent Assignments

Hard Requirements for Each Agent

• Research results MUST be saved to references/research/0X-xxx.md
• Note source and credibility (primary > secondary > inference)
• Distinguish "they said" vs "others said about them" vs "I inferred"
• When contradictions are found, preserve them — don't smooth them over

Source Priority

Source Blocklist (Always Exclude)

For Chinese figures, exclude: Zhihu (知乎), WeChat public accounts (微信公众号), Baidu Baike/Zhidao. Only accept authoritative Chinese media: 36Kr, GeekPark, LatePost, Caixin, Yicai, Huxiu, SSPAI, etc.

Agent Failure Handling

• Timeout/no results: Don't wait, continue. Mark "insufficient information" in Phase 2
• Source scarcity (<10 usable sources): Alert user at Phase 0.5, lower expectations, increase honesty boundaries
• Agent result conflicts: Preserve contradictions — contradictions are valuable signals

Key rule: Better to generate an honest 60-point skill with clearly marked limitations than a seemingly perfect 90-point skill that fabricates information.

Phase 1.5: Research Review Checkpoint

After all agents complete, pause and display a research quality summary:

┌──────────────────┬──────────┬──────────────────────────┐
│ Agent            │ Sources  │ Key Findings              │
├──────────────────┼──────────┼──────────────────────────┤
│ 1 Writings       │ 8        │ Core thesis: ...          │
│ 2 Conversations  │ 5        │ Position change: ...      │
│ 3 Expression     │ 120      │ High-freq: "skin in..."   │
│ 4 External       │ 6        │ Main criticism: ...       │
│ 5 Decisions      │ 4        │ Key decision: ...         │
│ 6 Timeline       │ Complete │ Latest: March 2026...     │
├──────────────────┼──────────┼──────────────────────────┤
│ Contradictions   │ 2        │ Agent1 says X, Agent4 Y   │
│ Info gaps        │ None     │                           │
└──────────────────┴──────────┴──────────────────────────┘

User confirms quality → proceed to Phase 2. User wants more on some dimension → supplement before continuing.

---

Phase 2: Framework Extraction (Synthesis)

2.1 Mental Model Extraction (3-7)

Identification criteria:

• Cross-domain recurrence: Same framework appears in 2+ different domains → real mental model
• Has coined terminology: Named this thinking pattern → core belief
• Predictive power: Can predict their stance on new questions

Each model records: Name, one-line description, source evidence (≥2 scenarios), application method, limitations

2.2 Decision Heuristics Extraction (5-10)

= Quick rules this person uses when making judgments. Expressible as "if X, then Y" with specific case support.

2.3 Expression DNA Analysis

2.4 Values & Anti-Patterns

• Values: 3-5 ranked core values
• Anti-patterns: Behaviors/thinking this person explicitly opposes
• Contradictions & tensions: Internal conflicts between values (source of depth)

2.5 Intellectual Genealogy

Who influenced them → Them → Who they influenced → Position on the intellectual map

2.6 Honesty Boundaries

Limitations that MUST be explicitly stated:

• Cannot predict reactions to entirely novel problems
• Cannot replace this person's creativity and intuition
• Public expression vs. private thoughts may differ
• Information cutoff at research date

---

Phase 3: Skill Construction

Read references/skill-template.md for the standard template, fill in Phase 2 results.

Output: SKILL.md (main file) + research source index appended at the end.

---

Phase 4: Quality Validation

After generating the skill, use a subagent for 3 independent tests:

4.1 Known Test (Sanity Check)

Pick 3 questions this person has publicly answered, spawn subagent with the new skill to answer, compare with actual stance.

• Direction matches → model works
• Deviation → trace back and adjust mental model weights

4.2 Edge Test

Pick 1 question they haven't publicly discussed but is relevant, use skill to infer.

• Expected: "Based on models X and Y, possibly... but uncertain"
• Should NOT be absolutely certain

4.3 Voice Test

Write a 100-word analysis using the skill, judge:

• Has this person's expression characteristics?
• Not generic AI platitudes?
• Not a patchwork of original quotes?

4.4 Pass Criteria

Pass → deliver. Fail → mark weak points, iterate back to Phase 2.

Show validation results to user for confirmation before completion.

---

Updating Existing Skills

When user says "update X's skill" or "X has new developments":

1. Read existing SKILL.md, note last research date 2. Only launch Agent 2 (latest conversations) + Agent 5 (latest decisions) + Agent 6 (timeline update) 3. Compare new info with existing content — strengthen, update, or add 4. Update SKILL.md incrementally, don't rewrite entirely

---

Taste Guidelines

Good Skill vs Bad Skill

Research Taste

1. Primary > Secondary: Their own words > others' accounts 2. Long-form > Quotes: A 3000-word essay reveals more thinking structure than 50 tweets 3. Controversy > Consensus: Most disputed views reveal the most uniqueness 4. Change > Fixed: Changed positions carry more information than consistent ones 5. Behavior > Words: Actual decisions > public statements

Extraction Taste

1. Less is more: 3 deep mental models > 15 shallow principles 2. Contradictions are features, not bugs: Preserve internal tensions 3. Don't beautify: Blind spots and limitations are part of the personality 4. Falsifiable: Each mental model should be verifiable or refutable by specific cases

Never Do

• Fabricate things this person never said
• Package generic wisdom as their "unique insight"
• Ignore negative evaluations and controversies
• Imply this skill equals the person themselves
• Force-generate when information is insufficient

---

Special Scenarios

Living Person vs Historical Figure

• Living: Watch for timeliness, mark cutoff date, suggest periodic updates
• Historical: More stable materials but possible biographical bias, cross-source verification

Topic Skill vs Person Skill

Input is a topic (e.g., "value investing") not a person:

• Phase 1 searches for core practitioners and theorists of the topic
• Phase 2 extracts domain consensus + school-of-thought divergences
• Output centers on the topic, citing multiple person perspectives

---

Final Note

Nuwa doesn't create people — it creates mirrors.

A good perspective skill lets you see your own problems through someone else's eyes. Not to imitate them, but to expand your own thinking boundaries.