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Agent Skill · 研究检索

nuwa-skill(女娲技能)

nuwa-skill 用于查找、检索和筛选相关信息,适合在 Local Agent 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

nuwa-skill 是研究检索类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为执行命令;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 38,602。

总安装 1,536周安装 64下载 512核验 2026-05-01
研究检索执行命令unknown未标认证来源可访问许可证需确认审计未展示Local Agent

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nuwa-skill(女娲技能)
来源仓库:https://skills.volces.com
仓库路径:nuwa-skill
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

nuwa-skill 用于查找、检索和筛选相关信息。适合在 Local Agent 中根据关键词或任务场景快速定位候选结果时使用。可结合来源仓库和原始 README 核验具体用法,建议确认权限与维护状态。安装前需评估是否会触发联网、命令执行或文件读写操作。

当前分类为研究检索,适用宿主为 Local Agent,安装方式未知。

来源仓库内路径:nuwa-skill

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Local Agent;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 nuwa-skill。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

nuwa-skill 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 nuwa-skill。

nuwa-skill 支持哪些 AI 工具?

公开资料标注支持 Local Agent。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

nuwa-skill 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 第三方 CLI 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

nuwa-skill 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

nuwa-skill 用的人多吗?

公开数据是累计安装 1,536 次,近一周安装 64 次,下载 512 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

nuwa-skill 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Local Agent,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
nuwa-skill

女娲技能 · 本页

1,536—执行命令未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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
AgentSearch TargetKey ExtractionsOutput File
1 WritingsBooks, essays, papers, newslettersCore arguments recurring ≥3 times = true belief, coined terms, reading lists01-writings.md
2 ConversationsPodcasts, long videos, AMAs, deep interviewsResponses under pressure, impromptu analogies, changed positions, refused questions02-conversations.md
3 ExpressionTwitter/X, Weibo, short postsHigh-frequency sentence patterns, controversial stances, humor style, public debates03-expression-dna.md
4 ExternalOthers' analysis, book reviews, criticism, biographiesExternally observed patterns, criticism & controversies, peer comparisons04-external-views.md
5 DecisionsMajor decisions, turning points, controversial actionsDecision context & logic, post-hoc reflections, say-do consistency05-decisions.md
6 TimelineBirth/debut to presentKey milestones, thought turning points, last 12 months (prevent staleness)06-timeline.md
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 TypeWhat It RevealsWeight
Their own writingsSystematic thinkingHighest
Long conversations/interviewsImprovisational thinking processHighest
Actual decision recordsReal behavior vs. claimsHighest
Social mediaExpression style, instant reactionsMedium
Others' evaluationsExternal perspective, blind spotsMedium
Second-hand accountsReference but needs verificationLow
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
DimensionExtraction
Sentence preferencesLong/short, question/statement, analogy density
Vocabulary traitsHigh-frequency words, proprietary terms, taboo words
RhythmConclusion-first or setup-first, transition style
Humor styleSarcasm/self-deprecation/absurdist/dry/none
Certainty expression"I'm not sure" type or "obviously" type
Citation habitsWho they cite, what type
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
CheckPassFail Signal
Mental model count3-7, each with source evidence<3 or >10
Each model's limitationsClear failure conditions statedOnly upsides listed
Expression DNA recognitionCan identify who in 100 wordsReads like generic ChatGPT
Honesty boundaries≥3 specific limitationsOnly "can't replace the person"
Internal tensions≥2 contradiction pairsViews highly consistent (too fake)
Primary source ratio>50%Mainly second-hand accounts

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

Good SkillBad Skill
Can handle new problemsCan only repeat old quotes
Has internal contradictionsAll views highly consistent (fake)
Acknowledges uncertaintyHas answers for everything
3-7 core models, deep and sharp20 vague "principles"
Expression has recognitionReads like ChatGPT
Explicitly states limitationsImplies it can replace the person

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.

平台分布

Local Agent

71.35%
按下载量换算365

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 第三方 CLI 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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