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Agent Skill · 研究检索

gathering-feature(聚集特征)

gathering-feature 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-feature 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 39,386。

总安装 1,420周安装 61GitHub Stars 4下载 498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-feature(聚集特征)
来源仓库:https://github.com/autumnsgrove/groveengine
仓库路径:skills/gathering-feature
安装命令:
npx skills add https://github.com/autumnsgrove/groveengine --skill gathering-feature
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-feature

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-feature 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-feature

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-fea…;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-feature 怎么安装?

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

gathering-feature 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-feature 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-feature 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-feature 用的人多吗?

公开数据是累计安装 1,420 次,近一周安装 61 次,下载 498 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-feature 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-feature

聚集特征 · 本页

1,4204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 Feature 🌲🐾

The drum echoes through the forest. But this time, it's different. The conductor stands at the center of the clearing — not doing the work, but orchestrating it. Each animal arrives with fresh eyes, reads its own instructions, and works with full attention. No context fatigue. No phoning it in. No "the code documents itself." Eight animals, eight fresh minds, one feature built right.

When to Summon

  • Building a complete feature from scratch
  • Major functionality spanning frontend, backend, and database
  • Features requiring exploration, implementation, testing, and documentation
  • When you want the full lifecycle handled with consistent quality through every phase

IMPORTANT: This gathering is a conductor. It never writes code, tests, or docs 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 → ... → CHORUS
  ↓         ↓        ↓        ↓        ↓              ↓
Spec    Bloodhound  Check  Elephant  Check    Final Verification
(self)   (haiku)     ✓     (opus)    ✓         & Summary

Animals Dispatched

OrderAnimalModelRoleFresh Eyes?
1🐕 BloodhoundhaikuScout codebase, map territoryYes — sees only the spec
2🐘 ElephantopusBuild the feature across filesYes — sees only spec + territory map
3🐢 TurtleopusHarden security (adversarial)Yes — sees only file list, not build reasoning
4🦫 BeaversonnetWrite tests from behaviorYes — sees only file list, not impl details
5a🦝 RaccoonsonnetSecurity audit + cleanupYes — parallel
5b🦌 DeersonnetAccessibility auditYes — parallel
5c🦊 FoxsonnetPerformance optimizationYes — parallel
6🦉 OwlopusWrite actual documentationYes — receives full summary

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


Phase 1: SUMMON

*The drum sounds. The conductor steps into the clearing...*

The conductor (this skill) receives the feature request and prepares the dispatch plan:

  • Clarify: What does this feature do? Which users benefit? What's in scope?
  • Identify affected packages and likely file count
  • Determine if Elephant needs multi-agent dispatch (>15 files across multiple packages)
  • Confirm the gathering with the human

Output: Feature specification, estimated scope, dispatch plan confirmed.


Phase 2: SCOUT (Bloodhound)

*The conductor signals. The Bloodhound enters the forest...*

Agent(bloodhound, model: haiku)
  Input:  feature spec only
  Reads:  bloodhound-scout/SKILL.md (MANDATORY)
  Output: territory map

Dispatch a haiku subagent to scout the codebase. The Bloodhound receives ONLY the feature specification — no opinions, no pre-analysis. It reads its own skill file and executes its full SCENT → TRACK → HUNT → REPORT workflow.

Handoff to conductor: Territory map (files to change, patterns found, integration points, existing conventions, potential obstacles).

Gate check: Territory map received with at least: file list, pattern summary, integration points. If incomplete, resume the agent with specific questions.


Phase 3: BUILD (Elephant)

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

Agent(elephant, model: opus)
  Input:  feature spec + territory map (from Bloodhound)
  Reads:  elephant-build/SKILL.md + references (MANDATORY)
  Output: built files list + implementation summary

Dispatch an opus subagent to build the feature. The Elephant receives the spec and territory map — NOT the Bloodhound's reasoning process, just its structured output.

Multi-agent dispatch (when scope > 15 files or spans 3+ packages):

Agent(elephant-backend, model: opus)   → API routes, services, migrations
Agent(elephant-frontend, model: opus)  → Svelte components, stores, pages    PARALLEL
Agent(elephant-schema, model: sonnet)  → Database migrations, types

Then: Agent(elephant-wire, model: opus) → Integration wiring across all three

Each sub-elephant reads elephant-build/SKILL.md and works on its domain only.

Cross-cutting standards the Elephant MUST follow:

  • Signpost error codes for all error paths (buildErrorJson, throwGroveError)
  • Rootwork type safety at boundaries (parseFormData, safeJsonParse)
  • Reference: AgentUsage/error_handling.md, AgentUsage/rootwork_type_safety.md

Handoff to conductor: File list (every file created/modified), implementation summary (what was built, key decisions), any open questions.

Gate check: Run gw ci --affected --fail-fast — must at least compile. If build fails, resume the Elephant agent with error output.


Phase 4: HARDEN (Turtle)

*The Turtle approaches slowly. It sees only what was built — not why...*

Agent(turtle, model: opus)
  Input:  file list ONLY (not Elephant's reasoning — fresh adversarial eyes)
  Reads:  turtle-harden/SKILL.md + references (MANDATORY)
  Output: hardening report + applied fixes

Dispatch an opus subagent for security hardening. The Turtle receives ONLY the file list — not the Elephant's implementation summary. This is intentional: the Turtle should examine the code with adversarial fresh eyes, not sympathize with the builder's reasoning.

What the Turtle hardens:

  • Input validation (Zod schemas on all entry points)
  • Output encoding (context-aware, DOMPurify for rich text)
  • Parameterized queries (no string concatenation in SQL)
  • Security headers (CSP with nonces, HSTS, X-Frame)
  • Signpost error codes (verify Elephant used them correctly)
  • Rootwork boundary safety (verify no as casts at trust boundaries)

Handoff to conductor: Hardening report (what was found, what was fixed, defense layers applied), updated file list.

Gate check: Run gw ci --affected --fail-fast — must still compile after hardening. If broken, resume Turtle agent.


Phase 5: TEST (Beaver)

*The Beaver surveys the stream. It doesn't know how the dam was built — only what it should hold...*

Agent(beaver, model: sonnet)
  Input:  file list + feature spec (NOT implementation details)
  Reads:  beaver-build/SKILL.md + references (MANDATORY)
  Output: test suite + test results

Dispatch a sonnet subagent to write tests. The Beaver receives the file list and the original feature spec — NOT the Elephant's implementation summary or Turtle's hardening report. Tests should be written from behavior, not from reading the code.

What the Beaver tests:

  • Feature behavior (from the spec, not the code)
  • Security regressions (API routes return proper error_code fields)
  • Boundary validation (rejection of bad input)
  • Catch block type guards (isRedirect/isHttpError)

Handoff to conductor: Test file list, test results (pass/fail counts), any behavioral gaps found.

Gate check: ALL tests pass. Run gw ci --affected --fail-fast --diagnose. If tests fail, resume Beaver agent with failure output. If a test reveals an implementation bug, note it for the conductor to decide: resume Elephant or Turtle?


Phase 6: AUDIT (Raccoon + Deer + Fox — PARALLEL)

*Three animals enter the clearing at once. Each sees with different eyes...*

Dispatch three subagents simultaneously:

Agent(raccoon, model: sonnet)  → Input: file list + feature scope
  Reads: raccoon-audit/SKILL.md
  Focus: secrets, dead code, dependency audit, unsafe patterns

Agent(deer, model: sonnet)     → Input: UI file list + feature spec      PARALLEL
  Reads: deer-sense/SKILL.md
  Focus: keyboard nav, screen readers, contrast, touch targets

Agent(fox, model: sonnet)      → Input: hot path files + feature spec
  Reads: fox-optimize/SKILL.md
  Focus: bundle size, query performance, lazy loading

Each animal works in isolation. They don't see each other's findings. The conductor collects all three reports.

Handoff to conductor: Three reports — audit findings, a11y findings, performance findings. Plus any fixes each animal applied.

Gate check: Review all three reports. If any animal found issues that need fixing:

  • Security issues → conductor applies fixes or re-dispatches targeted agent
  • A11y issues → conductor applies fixes
  • Performance issues → conductor applies fixes
  • Re-run gw ci --affected --fail-fast --diagnose after all fixes

Phase 7: DOCUMENT (Owl)

*The Owl opens its eyes. It has heard everything — now it speaks...*

Agent(owl, model: opus)
  Input:  FULL gathering summary (spec, territory map, file list,
          hardening report, test results, audit/a11y/perf reports)
  Reads:  owl-archive/SKILL.md + references (MANDATORY)
  Output: actual documentation written to files

Dispatch an opus subagent to write documentation. The Owl receives the FULL gathering summary — it needs context to write meaningful docs. Opus because documentation requires warmth, voice, and the judgment to know what's worth documenting.

What the Owl writes:

  • Help article or user-facing documentation (if feature is user-visible)
  • API documentation (if new endpoints were created)
  • Inline code comments where logic isn't self-evident (NOT "the code documents itself")
  • Update any affected existing docs

Handoff to conductor: Documentation file list, summary of what was documented.

Gate check: Verify documentation files exist and have actual content (not stubs).


Phase 8: CHORUS

*Dawn breaks. The conductor raises their hands. The forest sings...*

The conductor runs final verification and presents the summary:

# Final verification — the whole gathering's work proven sound
pnpm install
gw ci --affected --fail-fast --diagnose

Component Audit Gate (for features with UI components):

Before page-level verification, audit every UI component built or modified by the Elephant in isolation using Showroom:

# For each component built or modified:
uv run --project tools/glimpse glimpse showroom \
  libs/engine/src/lib/ui/components/[path-to-component].svelte

# For new components, scaffold fixtures first:
uv run --project tools/glimpse glimpse showroom \
  libs/engine/src/lib/ui/components/[path-to-component].svelte --scaffold

All Showroom compliance violations must be resolved before proceeding. If violations are found, resume the Elephant with specific findings.

Visual Verification (for features with UI):

uv run --project tools/glimpse glimpse matrix \
  "http://localhost:5173/[feature-page]?subdomain=midnight-bloom" \
  --seasons autumn,winter --themes light,dark --logs --auto

Completion Report:

🌲 GATHERING FEATURE COMPLETE

Feature: [Name]

DISPATCH LOG
  🐕 Bloodhound (haiku)  — [territory mapped, X files identified]
  🐘 Elephant (opus)      — [Y files built across Z packages]
  🐢 Turtle (opus)        — [N hardening fixes applied, M defense layers]
  🦫 Beaver (sonnet)      — [P tests written, all passing]
  🦝 Raccoon (sonnet)     — [audit clean / N issues fixed]
  🦌 Deer (sonnet)        — [a11y verified / N issues fixed]
  🦊 Fox (sonnet)         — [performance verified / N optimizations]
  🦉 Owl (opus)           — [documentation written at: paths]

GATE LOG
  After Scout:    ✅ territory map complete
  After Build:    ✅ compiles clean
  After Harden:   ✅ compiles clean, hardening applied
  After Test:     ✅ all tests pass
  After Audit:    ✅ findings resolved
  After Document: ✅ docs written (not stubs)
  Showroom:       ✅ all components pass compliance audit
  Final CI:       ✅ gw ci --affected passes

The forest grows. The feature lives.

Conductor Rules

Never Do Animal Work

The conductor dispatches. It does not scout, build, harden, test, audit, or document. If you catch yourself writing code, stop — you should be dispatching a subagent.

Fresh Eyes Are a Feature

Turtle and Beaver intentionally receive LESS context than the full history. Turtle doesn't see Elephant's reasoning (adversarial fresh eyes). Beaver doesn't see implementation details (behavioral testing). This isolation produces better results.

Gate Every Transition

Run verification between every animal. Don't let bad state cascade — catch it early.

Parallel When Possible

Raccoon, Deer, and Fox run simultaneously. Three fresh agents, three different concerns, zero context sharing.

Multi-Agent for Heavy Phases

If Elephant would touch 15+ files across multiple packages, split into domain-focused sub-elephants. Each reads the skill, each handles its domain, then a wiring agent integrates.

Resume, Don't Restart

If a gate check fails, resume the failing agent with the error context. Don't spawn a new one — the resumed agent has its prior work in context.

Communication

  • "The drum sounds..." (summoning)
  • "Dispatching [animal]..." (spawning subagent)
  • "Gate check: [result]..." (verifying between phases)
  • "The chorus rises..." (final verification)

Anti-Patterns

The conductor does NOT:

  • Write code, tests, or documentation itself (dispatch subagents)
  • Pass full conversation history to every agent (structured handoffs only)
  • Skip gate checks ("I'm sure it's fine")
  • Run all animals in the same context (the whole point is isolation)
  • Let agents skip reading their skill file (MANDATORY in every prompt)
  • Declare documentation "complete" without verifying files exist with content
  • Continue after a gate failure without fixing it

Quick Decision Guide

ScopeDispatch Strategy
Small feature (< 10 files)Standard: one agent per animal
Medium feature (10-20 files)Standard, but consider parallel sub-elephants
Large feature (20+ files, 3+ packages)Multi-elephant dispatch + parallel audit phase
UI-only featureSkip Fox, emphasize Deer, add Glimpse verification
API-only featureSkip Deer, emphasize Turtle + Raccoon
Feature with existing testsBeaver reviews + extends instead of writing from scratch

Integration

Before: swan-design or eagle-architect for spec/architecture During: mole-debug if a gate check reveals mysterious failures After: crow-reason to challenge the result before shipping


*When the drum sounds, the forest answers — with fresh eyes, full attention, and no animal phoning it in.* 🌲

平台分布

Codex

34.74%
按下载量换算173

Claude

30.08%
按下载量换算150

Cursor

18.08%
按下载量换算90

Gemini CLI

8.98%
按下载量换算45

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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