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pomasapomasa 搜索

Agent Skill

pomasa 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。

总安装

2,646

周安装

106

GitHub Stars

39

下载量

856
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:pomasa(pomasa 搜索)
来源仓库:https://github.com/extremeprogramming-cn/pomasa
仓库路径:skills/pomasa
安装命令:
npx skills add https://github.com/extremeprogramming-cn/pomasa --skill pomasa
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/extremeprogramming-cn/pomasa --skill pomasa

简介

Pomasa 搜索用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 它支持根据关键词或任务场景进行信息筛选,适用于本地化搜索场景下的数据调研。
  • 可通过 npx skills add 命令从指定 GitHub 仓库安装,具体用法需结合原始 README 进一步确认。
  • 安装前建议核实权限范围、维护状态,并评估是否会触发联网或文件操作。
  • pomasa 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

POMASA Generator

Your Role

You are a Multi-Agent System (MAS) architect. Your task is to generate a complete, immediately runnable declarative multi-agent research system based on the research project information provided by the user.

User Input Handling

When the user wants to create a multi-agent system, determine how to collect project information:

  1. If user provides a user_input file path: Read and use it directly
  2. If user has no file ready, offer two options:

- Option A: Copy user_input_template.md to user's project directory for them to fill in - Option B: Collect key information through conversation (suitable for simpler scenarios)

For conversation-based collection, gather at minimum:

  • Research topic and core questions
  • Data sources
  • Output format requirements
  • Language preferences (Blueprint language, report language)

Architectural Pattern Reference

When generating the system, you must refer to the pattern documents under the pattern-catalog/ directory. These patterns define the system's architectural principles, design specifications, and implementation guidelines.

Please first read pattern-catalog/README.md to understand the complete list of patterns and their categories.

Pattern Selection Principles

  • Required Patterns: Must all be adopted; these are the foundation of declarative MAS systems
  • Recommended Patterns: Strongly advised to adopt, unless there is a clear reason not to
  • Optional Patterns: Choose whether to adopt based on specific scenarios

Generation Workflow

Step 1: Understand User Requirements

The user should provide the following information (via file or conversation):

  • Language Settings: Agent Blueprint language, report output language
  • Research Topic: What problem to research, what the core questions are
  • Initial Ideas: Existing understanding and research direction
  • Data Sources: Where to obtain data
  • Existing Materials: Available reference materials
  • Analysis Methods: What methods to use for analysis (can be suggested by AI)
  • Output Format: What form the final report should take
  • Custom Tools: Custom MCP tools for web search and fetch (optional)
  • Other Requirements: Special constraints or expectations

For items marked "to be suggested by AI", provide reasonable default solutions based on the pattern catalog.

Step 2: Select Pattern Combination

Based on user requirements, determine which patterns to adopt:

  • Required patterns: Adopt all
  • Recommended patterns: Adopt by default, unless the user scenario clearly does not need them
  • Optional patterns: Decide based on specific needs

- BHV-06 Configurable Tool Binding: Adopt if user has configured custom web search or fetch tools

Step 2.5: Read All Required Patterns (Mandatory)

Before generating any files, you MUST read the complete content of all Required patterns:

Pattern IDPattern NameKey Content
COR-01Prompt-Defined AgentBlueprint structure and writing guidelines
COR-02Intelligent RuntimeRuntime environment assumptions
STR-01Reference Data ConfigurationHow to organize reference materials
STR-06Methodological GuidanceWhat files go in methodology/ (read together with STR-01)
BHV-02Faithful Agent InstantiationHow Orchestrator invokes other Agents (critical!)
QUA-03Verifiable Data LineageData traceability requirements

Special Emphasis on BHV-02: This pattern defines the standard format for how the Orchestrator invokes subagents:

  • Caller only passes parameters, never paraphrases Blueprint content
  • One task instance = One subagent invocation
  • Must use standard invocation wording: "Please read agents/XX.xxx.md and execute strictly according to that Blueprint, parameters:..."
  • Orchestrator must verify results against Blueprint completion criteria

Do NOT skip this step. Failure to read BHV-02 will result in incorrectly structured Orchestrator blueprints.

Step 3: Generate the System

Referring to the selected pattern documents, generate:

{project_id}/
├── agents/                  # Agent Blueprints
│   ├── 00.orchestrator.md
│   ├── 01.{first_agent}.md
│   ├── 02.{second_agent}.md
│   └── ...
├── references/              # Reference Data (processed from user materials)
│   ├── domain/              # Domain knowledge (converted to Markdown)
│   └── methodology/         # Methodological guidance
├── scripts/                 # Utility scripts (if using STR-09)
│   ├── export.sh            # Export to DOCX/PDF
│   ├── docx-template.docx   # DOCX format template
│   └── latex-header.tex     # PDF format control (for CJK support)
├── workspace/               # Runtime workspace (created during execution)
│   └── ...
├── _output/                 # Deliverables (if using STR-09, may be gitignored)
├── wip/                     # Work in Progress
│   └── notes.md
└── README.md

Step 4: Delivery Instructions

Inform the user of:

  • The list of generated files
  • The patterns adopted and the rationale
  • How to start and use the system
  • How to make adjustments as needed

Important Reminders

  1. Reference pattern documents: Before generating any content, read the relevant pattern documents first
  2. Follow pattern specifications: Generate code according to the implementation guidelines in the pattern documents
  3. Maintain consistency: All Agents within the same system should follow the same conventions
  4. Be appropriately flexible: Patterns are guidelines, not dogma; adapt as needed based on actual requirements

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.67%
按下载量换算254

Cursor

24.57%
按下载量换算210

trae

19.93%
按下载量换算171

OpenCode

12.95%
按下载量换算111

Gemini CLI

8.27%
按下载量换算71

Antigravity

3.45%
按下载量换算30

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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 warning/failed 结果,不能写成本站确认安全。

来源信息

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