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Agent Skill · 研究检索

gathering-architecture(聚集建筑)

gathering-architecture 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。

gathering-architecture 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,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 37,772。

总安装 1,672周安装 67GitHub Stars 4下载 541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:gathering-architecture(聚集建筑)
来源仓库:https://github.com/autumnsgrove/groveengine
仓库路径:skills/gathering-architecture
安装命令:
npx skills add https://github.com/autumnsgrove/groveengine --skill gathering-architecture
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/autumnsgrove/groveengine --skill gathering-architecture

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。

gathering-architecture 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。它支持通过关键词、任务场景或来源线索进行信息检索与筛选,适用于研究类工作流。

可通过 npx skills add 命令从 GitHub 仓库安装,具体用法请参考原始 README。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。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/gathering-architecture

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/autumnsgrove/groveengine --skill gathering-arc…;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

    它需要需要联网,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

gathering-architecture 怎么安装?

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

gathering-architecture 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。

gathering-architecture 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

gathering-architecture 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。

gathering-architecture 用的人多吗?

公开数据是累计安装 1,672 次,近一周安装 67 次,下载 541 次,GitHub 4 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。

gathering-architecture 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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

  • 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
gathering-architecture

聚集建筑 · 本页

1,6724需要联网未明确通过

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

Gathering Architecture 🌲🦅

The drum echoes high in the canopy. The conductor stands below, orchestrating each animal's entrance. The Eagle soars in fresh air, seeing patterns without bias. The Crow arrives separately, challenging with no sympathy for the architect. The Swan receives a strengthened design, not a compromised one. The Elephant builds from a spec it trusts. Four isolated minds, four intentional models, one cathedral of code.

When to Summon

  • Designing new systems or services
  • Major architectural decisions
  • Refactoring core infrastructure
  • Creating platforms that other features build upon
  • When vision, challenge, specification, and implementation must flow in sequence

IMPORTANT: This gathering is a conductor. It never designs, challenges, specifies, or builds directly. It dispatches subagents — one per animal — each with isolated context and an intentional model. The conductor only manages handoffs and gate checks.


The Gathering

SUMMON → DISPATCH → GATE → DISPATCH → GATE → DISPATCH → GATE → DISPATCH → GATE → CHORUS
  ↓         ↓        ↓        ↓        ↓        ↓        ↓        ↓        ↓        ↓
Spec     Eagle    Check     Crow    Check     Swan    Check   Elephant  Check    Final
(self)   (opus)    ✓      (sonnet)   ✓      (opus)    ✓      (opus)     ✓     Verify

Animals Dispatched

OrderAnimalModelRoleFresh Eyes?
1🦅 EagleopusDesign high-level architectureYes — sees only the system spec
2🐦‍⬛ CrowsonnetChallenge the designYes — sees architecture doc only, not Eagle's reasoning
3🦢 SwanopusWrite detailed specificationYes — sees strengthened architecture (Eagle + Crow fixes)
4🐘 ElephantopusBuild the foundationYes — sees only Swan's spec

Reference: Load references/conductor-dispatch.md for exact subagent prompts and handoff formats


Phase 1: SUMMON

*The drum sounds. The canopy rustles...*

The conductor receives the architecture request and prepares the dispatch plan:

Clarify the System:

  • What problem does this solve?
  • What are the scale requirements?
  • What are the constraints?
  • What's the growth trajectory?

Nature Metaphor:

"Every architecture needs a nature metaphor. What does this system resemble? Heartwood (core), Wisp (gentle guide), Porch (gathering place), or something else?"

Infrastructure Abstractions:

  • Use GroveDatabase/GroveStorage/GroveKV/GroveServiceBus from Server SDK for portability
  • Use Amber SDK (FileManager, QuotaManager) for user file management — not raw R2
  • Use Rootwork utilities at all data boundaries

Confirm with the human, then proceed.

Output: System specification, dispatch plan confirmed.


Phase 2: DESIGN (Eagle)

*The conductor signals. The Eagle rises...*

Agent(eagle, model: opus)
  Input:  system specification only
  Reads:  eagle-architect/SKILL.md + references (MANDATORY)
  Output: architecture overview document

Dispatch an opus subagent to design the architecture. The Eagle receives ONLY the system specification. It reads its own skill file and executes its full workflow.

What the Eagle produces:

  • System boundaries and component interactions
  • Technology choices with rationale
  • Scale constraints and growth strategy
  • Data flow diagrams
  • Architecture Decision Records (ADRs)
  • Nature metaphor for the system

Handoff to conductor: Architecture overview document (structured, not conversational).

Gate check: Architecture document exists with: system boundaries, component diagram, technology choices, ADRs. If incomplete, resume Eagle with specific questions.


Phase 3: CHALLENGE (Crow)

*The Crow perches. It tilts its head at what others won't question...*

Agent(crow, model: sonnet)
  Input:  architecture document ONLY (not Eagle's reasoning process)
  Reads:  crow-reason/SKILL.md (MANDATORY)
  Output: challenge report + strengthened design recommendations

Dispatch a sonnet subagent in Red Team mode against the Eagle's architecture. The Crow receives ONLY the architecture document — NOT the Eagle's internal reasoning. This isolation is intentional: the Crow should challenge the design on its own merits, not be persuaded by the architect's justifications.

What the Crow challenges:

  • Assumptions that aren't proven
  • Single points of failure
  • Complexity that could be simpler
  • Scale claims without evidence
  • Missing failure modes
  • Operational burden on a small team

Handoff to conductor: Challenge report (Roost summary) with specific recommendations. The conductor then decides which challenges require Eagle revision.

Gate check: Crow produced challenges with specific, actionable recommendations (not vague concerns). If challenges reveal fundamental design issues, resume Eagle with the Crow's findings for revision.

Iteration: If Eagle needs revision:

  1. Resume Eagle with Crow's specific findings
  2. Eagle produces revised architecture
  3. Optionally resume Crow for re-challenge (max 2 iterations)

Phase 4: SPECIFY (Swan)

*The Swan glides. Elegance meets precision...*

Agent(swan, model: opus)
  Input:  strengthened architecture (Eagle's doc + resolved Crow challenges)
  Reads:  swan-design/SKILL.md + references (MANDATORY)
  Output: complete technical specification

Dispatch an opus subagent to write the detailed specification. The Swan receives the architecture document as strengthened by the Crow's challenges — it sees the resolved design, not the debate.

What the Swan produces:

  • API contracts (request/response formats)
  • Database schema with relationships
  • Flow diagrams for key operations
  • Implementation checklist ordered by dependency
  • Error handling patterns (Signpost codes)
  • Configuration and deployment requirements

Handoff to conductor: Complete technical specification document.

Gate check: Specification has: API contracts, database schema, flow diagrams, implementation checklist. If missing sections, resume Swan.


Phase 5: BUILD (Elephant)

*The ground trembles. The Elephant arrives...*

Agent(elephant, model: opus)
  Input:  Swan's technical specification ONLY
  Reads:  elephant-build/SKILL.md + references (MANDATORY)
  Output: built foundation + file list

Dispatch an opus subagent to build the architectural foundation. The Elephant receives ONLY the Swan's specification — not the Eagle's vision doc or Crow's challenges. The spec is the single source of truth for building.

What the Elephant builds:

  • Database migrations and schema
  • Core services and business logic
  • API route skeletons with proper error handling
  • Type definitions
  • Essential tests for the foundation
  • Configuration files

Cross-cutting standards (NON-NEGOTIABLE):

  • Signpost error codes on all error paths
  • Rootwork type safety at all boundaries
  • Engine-first pattern (check before duplicating)

Handoff to conductor: File list (every file created/modified), implementation summary, any deviations from spec.

Gate check:

pnpm install
gw dev ci --affected --fail-fast --diagnose

Must compile and pass. If it fails, resume Elephant with the error.


Phase 6: CHORUS

*Dawn breaks. The architecture stands...*

The conductor runs final verification and presents the summary:

gw dev ci --affected --fail-fast --diagnose

Completion Report:

🌲 GATHERING ARCHITECTURE COMPLETE

System: [Name]

DISPATCH LOG
  🦅 Eagle (opus)      — [architecture designed, X ADRs written]
  🐦‍⬛ Crow (sonnet)   — [Y challenges raised, Z resolved]
  🦢 Swan (opus)        — [specification written, N sections]
  🐘 Elephant (opus)    — [foundation built, M files across P packages]

GATE LOG
  After Eagle:    ✅ architecture document complete
  After Crow:     ✅ challenges resolved, design strengthened
  After Swan:     ✅ specification complete with all sections
  After Elephant: ✅ compiles clean, foundation tested
  Final CI:       ✅ gw dev ci --affected passes

ARTIFACTS
  Architecture: [doc path]
  Specification: [spec path]
  Foundation: [code locations]
  Tests: [test locations]

The forest has a new landmark.

Conductor Rules

Never Do Animal Work

The conductor dispatches. It does not design, challenge, specify, or build.

Fresh Eyes Are a Feature

Crow sees only the architecture document, not Eagle's reasoning. Elephant sees only Swan's spec, not the debate history. This isolation produces better results at every stage.

Gate Every Transition

Verify output between every animal. Architecture must be complete before challenge. Challenges must be resolved before specification. Spec must be complete before building.

Resume, Don't Restart

If a gate check fails or Crow reveals fundamental design issues, resume the relevant agent. Don't spawn new ones.


Anti-Patterns

The conductor does NOT:

  • Design architecture itself (dispatch Eagle)
  • Soften Crow's challenges (pass them to Eagle unfiltered)
  • Let Elephant see the design debate (only the final spec)
  • Skip the Crow phase ("the design looks fine")
  • Let agents skip reading their skill file
  • Continue after a gate failure

Quick Decision Guide

ScopeStrategy
New system, full design neededAll four: Eagle → Crow → Swan → Elephant
Spec exists, need implementationElephant only (with spec as input)
Design review, no implementationEagle → Crow → Swan (skip Elephant)
Quick design, team will buildEagle → Crow (skip Swan + Elephant)
Large foundation (20+ files)Multi-Elephant dispatch (see gathering-feature)

*From vision to foundation, the forest grows.* 🌲

平台分布

Codex

36.16%
按下载量换算196

Claude

29.07%
按下载量换算157

Cursor

19%
按下载量换算103

Gemini CLI

8.74%
按下载量换算47

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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