SuperAPI AI Directory

女娲.skill

SKill, an open-source project by independent developer Huashu

Open website

About this tool

What is Nüwa.skill

Nüwa.skill is SKill, open-sourced by independent developer Huashu. It is not a simple AI role-playing tool, but a "thought distillation" system. Input any person's name, and 6 Agents collect public information in parallel, distilling their cognitive operating system through triple verification, ultimately generating a conversational AI Skill that includes mental models, decision heuristics, expression DNA, and honest boundaries. Unlike ordinary role-playing, Nüwa does not seek to "resurrect" the person; instead, it uses your questions to run that person's thinking framework, and each Skill's information sources and distillation logic are fully open and transparent.

Nüwa.skill

Main features of Nüwa.skill

  • Six-way parallel collection: Deploys 6 research Agents to simultaneously capture the target person's works, in-depth interviews, social media activity, critical perspectives, key decision records, and life timeline, comprehensively covering public information sources.
  • Triple verification distillation: Applies strict screening to the collected viewpoints; only content that simultaneously satisfies the three criteria of "cross-domain reproducibility, question-generating power, and cognitive exclusivity" is included as a formal mental model.
  • Automatic Skill generation: The system outputs a structured cognitive operating system, including 3-7 mental models, 5-10 decision heuristics, expression DNA, core values and anti-patterns, as well as a clear statement of honest boundaries.
  • Quality verification loop: Uses known questions to test directional consistency, edge questions to test inference boundaries, and style tests to ensure expression matches, preventing the Skill from being overconfident or speaking in generalities.
  • Thematic Skill distillation: Can synthesize the methodologies of multiple experts for a specific domain (such as X operations) to generate a domain-level cognitive framework.
  • Full-chain transparent audit: Each Skill's references/ directory fully preserves primary and secondary information sources, research files, and distillation logic, ensuring the generation process is traceable and verifiable.
  • Ecosystem quality evolution: Comes with the "Darwin.skill" evaluation system, which performs batch scoring and automatic optimization of all Skills across 8 dimensions, continuously raising the overall quality level.

How to use Nüwa.skill

  • Install Claude Code: First ensure that Anthropic's command-line coding assistant Claude Code is installed locally, or a third-party environment compatible with the skills.sh protocol (such as OpenClaw)
  • One-click deployment of Nüwa: In the terminal, execute npx skills add alchaincyf/nuwa-skillto add Nüwa.skill to Claude Code's skill library
  • Issue a distillation command: In the Claude Code conversation, enter "distill a XXX" or "make a skill about XXX", replacing XXX with the target person's name or domain topic
  • Fully automatic operation: Nüwa automatically dispatches 6 Agents to collect public information in parallel, and after distillation, verification, and generation, finally outputs SKILL.md files, taking about 2-3 hours with no manual intervention
  • Directly invoke the Skill: After generation, directly invoke the Skill in the conversation to answer your questions using the target person's cognitive framework, such as "evaluate this product from Steve Jobs' perspective"
  • Quality review and optimization(Optional): Use the companion "Darwin.skill" to score the newly generated Skill across 8 dimensions, and manually adjust or re-distill based on the feedback to continuously improve output quality
  • Transparent audit and traceability: Each Skill's references/ directory contains complete research files and information sources, allowing the generation logic and data basis to be traced and verified at any time

Core advantages of Nüwa.skill

  • Not quote repetition, but a thinking framework: It captures "HOW they think," not "WHAT they said."
  • Not resurrection, but a cognitive mirror: It uses your questions to run a person's framework, rather than pretending the person themselves has arrived.
  • Built-in honest boundaries: Each Skill clearly states "what I cannot do," which is itself part of its credibility.
  • Transparent and auditable: Each Skill's references/ directory contains complete research files, with information sources and distillation logic fully disclosed.
  • Continuously evolving ecosystem: The companion "Darwin.skill" uses an 8-dimension evaluation system to optimize the quality of all Skills in batches.

Key information and usage requirements for Nüwa.skill

  • Project nature: An open-source AI thinking distillation system, not a role-playing tool, designed to generate runnable cognitive operating systems
  • Developer: Independent developer Huashu (notable work: Xiaomao Fill Light), the project gained ten-thousand-star attention within a week
  • Core mechanism: 6 Agents collect public materials in parallel, then distill mental models after triple verification through "cross-domain reproduction, generative power, and exclusivity"
  • Output artifact: Standardized SKILL.md, containing 3-7 mental models, 5-10 decision heuristics, expression DNA, values and anti-patterns, and honest boundaries
  • Essential difference from role-playing: It does not simulate tone or repeat quotes, but instead uses the user's questions to run the target person's thinking framework for inference
  • Quality companion: Built-in "Darwin.skill" 8-dimension evaluation system, supporting batch scoring and continuous optimization of generated Skills
  • Environment requirements: Requires Claude Code or a compatible skills.sh protocol third-party environment (such as OpenClaw) to be installed in advance
  • Installation method: Execute npx skills add alchaincyf/nuwa-skill in the terminal for one-click deployment to the skill library
  • Startup command: Enter "distill an XXX" or "create a skill about XXX" in Claude Code to trigger the fully automated process
  • Runtime: A single distillation takes about 2-3 hours in total, during which 6 Agents automatically complete collection, distillation, verification, and generation without manual intervention
  • Material requirements: The target person needs to have sufficient public expression materials (books, speeches, social media, etc.); insufficient materials will lead to reduced distillation quality
  • Privacy boundaries: It is strictly prohibited to use private data (emails, Slack, internal documents) for distillation; matters involving non-public information require the explicit informed consent of the person involved
  • Timeliness limitation: A Skill is a static snapshot at the time of research; if the person's core thinking changes significantly, the distillation process must be manually rerun to update it
  • Validation Suggestion: After generation, it is recommended to use "Darwin.skill" to perform 8-dimension scoring, and target low-scoring dimensions for optimization or supplement materials and re-distill.

Competitive product comparison of Nüwa.skill

Comparison Dimension Nüwa.skill MCE (Mind Cloning Engineering) digital-twin-skill
Product Name Nüwa.skill MCE Mind Cloning Engineering digital-twin-skill
Developer Hua Shu (author of Little Cat Fill Light) yzfly (Yunzhong Jiangshu) FredHJC
Core Positioning Distillation of public figures' thinking to generate an operational cognitive operating system Human mind cloning, creating "cognitive digital twins" and digital immortality Personal digital avatar, creating a high-fidelity AI avatar from private data
Technical Architecture Claude Code Skill, 6 Agents collecting in parallel + triple verification and refinement Claude Skill, file system directory-based memory + dual-mode architecture Claude Code Skill, data-driven personality extraction
Data Source First-hand public materials (books, interviews, social media), actively excluding second-hand information User-created core/ files or preset celebrity profiles Private data such as chat records, WeChat screenshots, Feishu messages, emails, PDFs, etc.
Output Artifacts SKILL.md(mental models + decision heuristics + expression DNA + honesty boundaries + anti-patterns) Unified file system directory (core/personality.md + progressive memory files) Desensitized personality model file, can be imported into Claude Code for direct conversation
Privacy Strategy Collects only public information, full-chain transparent auditing, raw data is not retained Stored on local file system, raw data is not leaked Raw data is desensitized before extraction; the avatar never leaks source materials
Key Differences Emphasizes "HOW they think" rather than "WHAT they said", with Darwin.skill 8-dimension quality assessment Places more emphasis on "soul" and "digital immortality", using bash tools to simulate human associative recall Focuses on relational avatars, supporting the same person presenting different role identities when facing colleagues/partners/family

Application scenarios of Nüwa.skill

  • Product decisions and entrepreneurial judgment: Call on the Skills of Jobs, Musk, or Naval to evaluate new feature directions, business model feasibility, and user experience design using first principles and product intuition.
  • Investment and risk management: Leverage the cognitive frameworks of Munger and Taleb to cross-validate potential targets using multiple mental models, identifying black swan risks and antifragile strategies.
  • Content creation and communication optimization: Use the Skills of MrBeast, Feynman, or X Mentor to optimize topic selection and scripts from dimensions such as viral structure, analogical expression, and platform algorithm logic.
  • Education and career planning: Obtain practical decision-making frameworks for college entrance exams/graduate entrance exams/employment through Zhang Xuefeng's Skill, and combine them with one's own conditions for path deduction and risk avoidance.
  • AI technology trend assessment: Invoke the Skills of Karpathy, Ilya, or Andrej to analyze industry trends from perspectives such as underlying technological evolution, the vibe coding paradigm, and compute bottlenecks.
  • Negotiation and Business Strategy Analysis: Leverage the Skills of Trump, Naval, or business leaders to apply power analysis and game-theoretic thinking in business negotiations, equity distribution, and competitive strategy.