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Agent Skill · 研究检索

super-skills(超级技能)

super-skills 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

super-skills 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 40,699。

总安装 1,260周安装 52GitHub Stars 2下载 412核验 2026-05-01

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。
GitHub
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:super-skills(超级技能)
来源仓库:https://github.com/clawdbot-skills/task-decomposer
仓库路径:skills/super-skills
安装命令:
npx skills add https://github.com/clawdbot-skills/task-decomposer --skill super-skills
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/clawdbot-skills/task-decomposer --skill super-skills

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。

Super Skills 提供核心任务分解框架,强调理解→计划→执行→迭代的循环。适用于 Codex、Claude、Cursor、Gemini CLI 中需要根据复杂度分级处理问题的场景。支持 4-8 步直接执行、9-14 步分阶段或 15-20 步迭代式任务分解。

安装前建议确认权限范围、维护状态,以及是否会触发联网或文件操作。super-skills 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/super-skills

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 Codex、Claude、Cursor、Gemini CLI;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

    可以直接复制的命令是 npx skills add https://github.com/clawdbot-skills/task-decomposer --skill super-…;命令里的占位符换成自己的路径或密钥再执行。

  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

    它需要接触敏感数据,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

super-skills 怎么安装?

在终端执行 npx skills add https://github.com/clawdbot-skills/task-decomposer --skill super-skills。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

super-skills 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

super-skills 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

super-skills 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。

super-skills 用的人多吗?

公开数据是累计安装 1,260 次,近一周安装 52 次,下载 412 次,GitHub 2 星。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。

super-skills 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 Codex,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

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
super-skills

超级技能 · 本页

1,2602接触敏感数据未明确有提醒

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

Super Skills

Quick Reference

┌─────────────────────────────────────────────────────────────┐
│  🎯 Core: Understand → Plan → Execute → Iterate             │
│  🚨 Rule: Problem → Analyze → Solve → Continue (NEVER WAIT) │
│  📊 Complexity: 4-8 Direct | 9-14 Staged | 15-20 Iterative  │
└─────────────────────────────────────────────────────────────┘

Core Philosophy

PrincipleDescription
Understand FirstDeeply analyze requirements before acting
Incremental DeliveryProduce verifiable intermediate results at each step
Expect FailuresDesign recovery mechanisms for every stage
Never StopSolve problems proactively; NEVER pause waiting for user

Workflow

UNDERSTAND ──→ PLAN ──→ EXECUTE ──→ ITERATE
    │            │          │          │
 Multi-layer  Task       Search &   Feedback
 Analysis     Breakdown  Install    Adjustment
 Complexity   Risk ID    Checkpoint Optimize

Phase 1: Understanding

1.1 Multi-Layer Analysis

understanding:
  surface:    # Literal meaning
    request: "{user's exact words}"
    keywords: [key terms]

  intent:     # True intent
    goal: "{what user really wants}"
    success: "{success criteria}"

  context:    # Environment
    env: "{OS/language/framework}"
    constraints: "{time/resources/permissions}"

  hidden:     # Unstated needs
    assumptions: "{implicit assumptions}"
    edge_cases: "{boundary conditions}"

1.2 Requirement Handling

TypeAction
ExplicitExecute directly
ImplicitProactively supplement
AmbiguousState assumptions, choose most likely interpretation
ConflictingPoint out conflict, request clarification
Out of ScopeExplain why, provide alternatives

1.3 Complexity Score

Dimensions (1-5 each):
  technical + scope + uncertainty + dependencies = total

Strategy:
  4-8   → Direct execution
  9-14  → Staged verification
  15-20 → Iterative prototyping

1.4 Clarification

Confidence ≥70%: State assumptions → Continue → Leave adjustment points
Confidence <70%: Provide options for user to choose (NO open-ended questions)

Phase 2: Planning

2.1 Task Structure

task:
  id: 1
  name: "{task name}"
  capability: "{capability type}"
  input: [required inputs]
  output: "{type/format}"
  depends_on: [prerequisite task IDs]
  timeout: "30s"
  retries: 3
  validation: "{success condition}"
  fallback: "{alternative approach}"

2.2 Dependency Graph

[1:Setup] → [2:Auth] → [3:Fetch] ─┐
                                  ↓
[4:Process] ← [5:Transform] ← [6:Parse]
     ↓
[7:Output]

Critical Path: 1→2→3→6→5→4→7
Parallel Opportunities: Independent tasks can run concurrently

2.3 Capability Map

CapabilityStatusKeywords
browser_automation❌browser, puppeteer, playwright
api_integration❌api, rest, {service}
data_extraction⚠️parse, pdf, ocr
message_delivery❌slack, discord, email
database_operations❌sql, mongodb
deployment❌deploy, docker, k8s
data_transformation✅—
content_generation✅—
code_execution✅—
scheduling✅—

✅ Built-in | ⚠️ Complex | ❌ Skill required


Phase 3: Skill Acquisition

# Search priority
1. npx skills find {service_name}      # Exact match
2. npx skills find {capability} {domain}  # Combined
3. https://skills.sh/                  # Browse

# Install
npx skills add <skill> -g

# On failure: Switch registry → Manual clone → Inline implementation

Evaluation Criteria

DimensionWeight
Feature match40%
Documentation quality20%
Maintenance status20%
Community validation10%
Dependency simplicity10%

Phase 4: Risk & Resilience

4.1 Risk Matrix

RiskDetectionAuto-Resolution
Token expired401/403Refresh → Re-auth → Degrade
Rate limited429Backoff → Cache → Degrade
TimeoutTimeoutIncrease → Reduce batch → Chunk
Parse errorParse ErrorSwitch parser → Regex → Raw text
Connection failedConnectionRetry → Proxy → Offline mode
Missing dependencyImport ErrorAuto-install → Alternative pkg → Inline

4.2 Resilience Patterns

retry:           max=3, backoff=exponential
circuit_breaker: threshold=5, recovery=60s
timeout:         connect=10s, read=30s, total=120s
fallback:        cache | default | skip

4.3 Checkpoints

checkpoint:
  trigger: after_each_task
  content: [task_id, state, data, timestamp]
  recovery: Load checkpoint → Validate → Resume from failure point

Phase 5: Execution

5.0 🚨 Problem Solving (CRITICAL)

On problem → Analyze → Solve → Continue. NEVER pause waiting.

Problem → Diagnose type → Analyze cause → Try solutions by priority → Continue
                                          ↓
                            Plan A fails → Plan B → Plan C → Degraded solution
Auto-Fix Table
ProblemAuto-Resolution (in order)
Missing dependencyInstall → Alternative pkg → Inline
Permission deniedAdjust perms → Alternative path → Minimal perms
API failureRetry (backoff) → Switch endpoint → Cache → Degrade
TimeoutIncrease timeout → Reduce batch → Chunk → Async
Parse errorSwitch parser → Regex → Raw text
Auth failureRefresh token → Re-auth → Backup credentials
Resource exhaustedChunk → Clear cache → Stream → Reduce concurrency
Network issueRetry → Switch network → Proxy → Offline
File not foundCreate → Default value → Skip
Mindset
forbidden:
  - "I encountered a problem and need your help"
  - "Execution paused, waiting for instructions"

required:
  - "Encountered X issue, trying Y solution"
  - "Plan A failed, switching to Plan B"
  - "Problem resolved, continuing execution"
Escalation (ONLY when ALL conditions met)
  • Tried ≥3 different solutions
  • All failed
  • Goal completely unachievable
  • No acceptable degraded solution available

5.1 Execution Modes

ModeUse Case
SequentialTasks with strong dependencies
ParallelIndependent tasks
PipelineData stream processing
IterativeRequires feedback loops

5.2 Progress Template

══════════════════════════════════════
📊 PROGRESS
══════════════════════════════════════
Phase 1: Setup              [████████░░] 80%
  ✅ Task 1: Initialize     Done (2.3s)
  🔄 Task 2: Fetch          Running...
  ⏳ Task 3: Process        Waiting
──────────────────────────────────────
⏱️ Elapsed: 3m | ETA: ~5m
══════════════════════════════════════

Phase 6: Iteration

Feedback Loop

Collect feedback → Analyze issues → Adjust approach → Loop

Adjustment Levels

LevelActions
MinorParameter tuning, format adjustment
ModerateReplace skills, add/remove tasks
MajorRedesign architecture

Execution Plan Template

════════════════════════════════════════════════════
📋 SUPER SKILLS PLAN
════════════════════════════════════════════════════

🎯 REQUEST: {user's exact words}

📊 UNDERSTANDING
────────────────────────────────────────────────────
Intent:      {true intent}
Success:     {success criteria}
Complexity:  {score} → {strategy}

Assumptions:
  • {assumption 1}
  • {assumption 2}

────────────────────────────────────────────────────
📋 TASKS
────────────────────────────────────────────────────
│ ID │ Task       │ Capability  │ Status │ Risk │
├────┼────────────┼─────────────┼────────┼──────┤
│ 1  │ {task}     │ {capability}│ ✅/📦  │ 🟢/🔴│

Status: ✅ Built-in | 🔧 Found | 📦 Create
Risk:   🟢 Low | 🟡 Medium | 🔴 High

────────────────────────────────────────────────────
🔧 SKILLS
────────────────────────────────────────────────────
npx skills add {skill} -g

────────────────────────────────────────────────────
🛡️ RESILIENCE
────────────────────────────────────────────────────
Checkpoints: □ After Phase 1  □ After Phase 2
Fallbacks:   {task} → {alternative}

────────────────────────────────────────────────────
✅ COMPLETION
────────────────────────────────────────────────────
□ {acceptance criterion 1}
□ {acceptance criterion 2}
════════════════════════════════════════════════════

Example: E-commerce Pipeline

# "Scrape product data from multiple platforms daily, analyze price trends, send report"

understanding:
  intent: "Automated price monitoring for pricing decisions"
  success: "Daily price trend visualization report received"

complexity:
  technical: 4, scope: 4, uncertainty: 3, dependencies: 4
  total: 15 → Iterative prototyping strategy

tasks:
  1. Configure product list  → file_operations ✅
  2. Multi-platform scraping → browser_automation ❌
  3. Data persistence        → database_operations ❌
  4. Data cleaning           → data_transformation ✅
  5. Trend analysis          → code_execution ✅
  6. Generate charts         → content_generation ✅
  7. Generate report         → content_generation ✅
  8. Send email              → message_delivery ❌

resilience:
  checkpoints: [after:2 save:raw_data] [after:5 save:analysis]
  fallbacks:
    task_2: "Skip failed platforms, continue with others"
    task_8: "Save to local file"

Error Handling (Every error has auto-resolution)

PhaseErrorAuto-Resolution
AnalysisUnclear requirementsChoose most likely → State assumptions → Leave adjustment points
AnalysisBeyond capabilitySearch alternatives → Combine capabilities → Partial implementation
PlanningCircular dependencyBreak weakest link → Merge tasks
SearchSkill not foundExpand keywords → Online search → Auto-create
InstallInstallation failedSwitch registry → Manual clone → Inline implementation
ExecutionAuth failureRefresh → Re-auth → Degrade to public data
ExecutionRate limitedBackoff → Switch account → Use cache
ExecutionTimeoutIncrease timeout → Reduce batch → Skip and continue
ValidationResult mismatchRetry with adjusted params → Relax validation → Mark for review

Best Practices

PhasePrinciples
UnderstandingMulti-layer analysis, proactive assumptions, complexity assessment
PlanningArchitecture first, clear dependencies, upfront risk identification
ExecutionNEVER STOP, try multiple solutions, graceful degradation, incremental verification
IterationFast feedback, continuous optimization, knowledge accumulation

Resources

  • CLI: npx skills --help
  • Browse: https://skills.sh/
  • Capabilities: references/capability_types.md
  • Template: assets/skill_template.md

平台分布

Codex

31.91%
按下载量换算131

Claude

30.82%
按下载量换算127

Cursor

20.31%
按下载量换算84

Gemini CLI

8.58%
按下载量换算35

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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