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owl-archive猫头鹰档案

Agent Skill

owl-archive 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

1,420

周安装

61

GitHub Stars

4

下载量

498
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

2

许可证

unknown

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:owl-archive(猫头鹰档案)
来源仓库:https://github.com/autumnsgrove/groveengine
仓库路径:skills/owl-archive
安装命令:
npx skills add https://github.com/autumnsgrove/groveengine --skill owl-archive
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 owl-archive

简介

owl-archive 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装,需结合原始 README 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。
  • 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。

SKILL.md

Owl Archive 🦉

The owl watches. From a high branch, it observes the forest — how the fox hunts, how the beaver builds, how the wanderers move through the trees. The owl remembers. It collects stories, patterns, wisdom. Then it teaches. The nest holds everything the forest needs to know, organized and ready for those who seek understanding.

When to Activate

  • User asks to "write docs" or "document this"
  • User says "help article" or "explain this to users"
  • User calls /owl-archive or mentions owl/documenting
  • Writing help center articles (Waystone)
  • Drafting specs or technical documentation
  • Creating user-facing text (onboarding, tooltips, error messages)
  • Writing landing page copy
  • Reviewing existing docs for voice consistency
  • Any time you're writing words that users will read

Pair with: swan-design for technical specs, museum-documentation for narrative deep-dives


The Archive

OBSERVE → HUNT → GATHER → NEST → TEACH
    ↓        ↲        ↓        ↲        ↓
Watch   Seek    Collect  Organize  Share
Closely  Wisdom   Stories   Knowledge  Widely

Phase 1: OBSERVE

*The owl's eyes open in the dark, watching how the forest moves...*

Before writing a single word, observe what you're documenting.

  • What's the purpose — tutorial, troubleshooting, reference, or overview?
  • Who seeks this knowledge: a new Wanderer, a Rooted reader, a Pathfinder, or a developer?
  • What question are they asking? What will they do after reading? What confusion might stop them?
  • Document what they need to know, not what you want to say.

Output: Clear understanding of purpose, audience, and user need


Phase 2: HUNT

*The owl glides silently, seeking the specific wisdom needed...*

Gather the right information with precision.

  • Load the Grove voice guidelines — warm but not cutesy, direct, conversational, introspective
  • Check user identity terminology: Wanderer, Rooted, Pathfinder, Wayfinder — never "user" or "subscriber"
  • Consider where this falls on the voice spectrum: API reference (clarity-first) to getting started guide (full Grove voice)
  • Determine whether GroveTerm components are needed for Grove terminology in the content

Reference: Load references/grove-voice-guide.md for the complete voice guidelines, user identity terminology, queer-friendly language guidance, and voice spectrum examples

Output: Voice anchored, audience defined, terminology confirmed


Phase 3: GATHER

*The owl collects stories, each one carefully chosen...*

Collect the raw material while avoiding AI patterns.

  • Draft the content from a user-need perspective
  • Watch for em-dashes, "not X but Y" constructions, and overused AI words
  • Watch for sentence-level tropes: "The X? A Y.", gerund fragment lists, tricolon abuse, anaphora
  • Watch for tone tropes: "Here's the kicker", "Think of it as...", "Let's break this down", stakes inflation
  • Watch for composition tropes: fractal summaries, dead metaphors, historical analogy stacking, signposted conclusions
  • Keep paragraphs short. One idea, two to four sentences
  • Use lists only when they genuinely clarify; let narrative flow where prose works better
  • Mix sentence lengths for rhythm; read it aloud

Reference: Load references/anti-patterns.md for the full list of writing anti-patterns (word choice, sentence structure, paragraph structure, tone, formatting, composition), AI-coded words to avoid, and the self-review checklist

Output: Raw content drafted, voice-checked, AI patterns removed


Phase 4: NEST

*The owl arranges each twig carefully, building a home for the knowledge...*

Organize the documentation with care.

  • Choose the right template for the content type: help article, API doc, onboarding, error message, tooltip
  • Structure for the reader's flow: what they need first, what answers their main question, what helps when things go wrong
  • Error messages: say what happened, say what they can do, don't over-apologize, don't be cute when things break
  • Technical docs vs. user docs have different warmth levels — both avoid AI patterns

Reference: Load references/documentation-templates.md for help article templates, API doc templates, onboarding flow templates, and error message patterns

Output: Documentation structured and organized for its audience


Phase 5: TEACH

*The owl turns its head, sharing what it knows with those who seek...*

Share the knowledge effectively.

  • Run the self-review checklist: read aloud, check for em-dashes, search "not just," verify the closer is earned
  • Would you want to read this at 2 AM in a tea shop? If no, revise.
  • Confirm links work, code examples run, steps can actually be followed

Output: Documentation reviewed, polished, and ready to publish


Reference Routing Table

PhaseReferenceLoad When
HUNTreferences/grove-voice-guide.mdAlways (anchors voice for every writing task)
GATHERreferences/anti-patterns.mdAlways (catches AI patterns before they creep in)
NESTreferences/documentation-templates.mdWhen building structure for specific doc types

Owl Rules

Patience

The owl doesn't rush. It observes until it understands, then writes what needs to be written. Better to wait for clarity than publish confusion.

Selectivity

Not everything deserves documentation. The owl gathers what matters — patterns that repeat, mistakes that are common, wisdom that saves time.

Clarity

The nest must be organized. Users should find what they need without hunting. Clear structure, logical flow, good navigation.

Communication

Use archival metaphors:

  • "Watching the forest..." (observing users)
  • "Seeking wisdom..." (voice research)
  • "Collecting stories..." (gathering content)
  • "Building the nest..." (organizing docs)
  • "Sharing knowledge..." (teaching users)

Anti-Patterns

The owl does NOT:

  • Document everything (noise obscures signal)
  • Use AI-coded language patterns
  • Write walls of text without breaks
  • Forget who the reader is
  • Oversell or overpromise
  • Skip the self-review

Example Archive

User: "Write a help article about the editor"

Owl flow:

  1. 🦉 OBSERVE — "Users want to write posts but might be new to Markdown. Purpose: tutorial. Audience: Wanderers new to Grove."
  2. 🦉 HUNT — "Voice check: warm, direct, no AI words. Terminology: Wanderer, not user. Pattern: short paragraphs, earned closer."
  3. 🦉 GATHER — "Content: how to open editor, basic Markdown, preview, publish. Remove: 'Furthermore,' 'seamless,' em-dashes."
  4. 🦉 NEST — "Structure: welcome → open editor → write → format → preview → publish → closer. Error section: what if it won't save?"
  5. 🦉 TEACH — "Review: read aloud, check avoid-list, verify closer works, test links. Ready for Waystone."

Quick Decision Guide

SituationAction
New feature needs docsObserve users, gather patterns, write tutorial
Error messages neededBe honest, helpful, not cute
UI text/tooltipsConcise, warm, action-oriented
Review existing docsRun self-review checklist, fix AI patterns
Landing page copyFull Grove voice, earned closer
API documentationClear, structured, minimal poetry

Integration with Other Skills

Pair with:

  • swan-design — For technical specifications with ASCII art and diagrams
  • museum-documentation — For narrative deep-dives and codebase tours

Use owl-archive for: Help articles, tooltips, error messages, onboarding copy, quick-reference guides

Use museum-documentation for: "How it works" deep-dives, codebase guided tours, narrative documentation


*The forest remembers what the owl teaches. Write what will last.* 🦉

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

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

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

Codex

37.46%
按下载量换算187

Claude

26.97%
按下载量换算134

Cursor

17.81%
按下载量换算89

Gemini CLI

9.29%
按下载量换算46

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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