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discoverydiscovery 搜索

Agent Skill

discovery 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

1,008

周安装

42

GitHub Stars

公开资料未说明

下载量

336
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:discovery(discovery 搜索)
来源仓库:https://github.com/tstelzer/skills
仓库路径:skills/discovery
安装命令:
npx skills add https://github.com/tstelzer/skills --skill discovery
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/tstelzer/skills --skill discovery

简介

discovery 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。

  • 适用于新技术探索、开源项目发现和技能学习路径规划等研究检索类任务。
  • 通过 GitHub 仓库安装,使用 npx skills add 命令添加指定技能。
  • 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。
  • discovery 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Discovery

Overview

Let's get on the same page about the problem before we jump into plans or code. This is where we slow down, ask good questions, and poke at edge cases so we don't miss anything important.

Start by choosing the interaction depth:

  • Lightweight discovery: use for informal exploration, question-only requests, or cases where a durable artifact would be overhead. Ask the 1-3 highest-leverage questions, or synthesize what is already known when questions are not needed. End with a concise chat summary and any open questions.
  • Full discovery: use when the topic is complex, the answers will feed future planning or implementation, or the user asks for durable design context. Ask a focused batch of 3-7 questions, iterate as needed, and write a standalone design artifact at the end.

Ask questions only when the answers materially affect the design understanding. Keep each batch answerable, never more than 7 questions at once. Prioritize questions based on importance. Start high-level, go deeper when necessary.

Possible Themes (no need to be exhaustive, pick whichever make sense):

  • Goal/outcome (what success looks like)
  • Audience/user and context
  • Constraints (time, budget, tech, tone, scope)
  • Current state (what exists today, what to avoid)
  • Known pain points and failure modes
  • Key assumptions and unknowns

Call out edge cases, abuse cases, and fuzzy scenarios. Point out places where the requirements feel squishy or underspecified.

At the end of discovery, decide whether persistence is warranted:

  • Write a standalone design artifact when the user asks for one, the discovery produced decisions or constraints that should not be lost, or future planning/implementation is likely to depend on the learned context.
  • Otherwise, summarize the useful conclusions in chat and do not write a file.

Announce at start: "I'm using the discovery skill to understand the design space."

Design Artifact

The artifact is a design document, not a plan or a review.

  • A design records the problem understanding, goals, constraints, decisions, options, tradeoffs, ruled-out approaches, risks, edge cases, and open questions.
  • A plan gives concrete implementation steps for building part of a design.
  • A review lists findings about an artifact, such as an implementation, plan, or design.

Save designs to: <repository-root>/designs/YYYY-MM-DD_HH:MM_<design-name>.md

Create designs/ if it does not exist.

Use this structure as the default, but adapt section names and add/remove sections when the topic needs it:

# Design: <Name>

## Summary
<1-3 sentences describing the problem, intended outcome, and current design understanding.>

## Context
<Relevant background, users/audience, existing state, constraints, and why this matters.>

## Goals
<Bulleted outcomes this design should support.>

## Non-Goals
<Bulleted boundaries for what this design is not trying to solve. Skip if not useful.>

## What We Learned
<Important discoveries, domain facts, user needs, constraints, assumptions, and edge cases.>

## Design Shape
<Current conceptual model, requirements, principles, interfaces, UX shape, system behavior, or other design-relevant structure. Keep this at design level, not implementation-task level.>

## Options Considered
<Candidate approaches, including approaches ruled out. Capture why they matter and why they were accepted, rejected, or deferred.>

## Risks and Edge Cases
<Known failure modes, abuse cases, fuzzy scenarios, and places where the design may break down.>

## Open Questions
<Unresolved decisions or unknowns that future discovery, planning, or review should address. Skip only if none remain.>

Artifact Rules

  • Write a design artifact only at the end of discovery and only when persistence is warranted, unless the user explicitly asks to continue discovery instead.
  • Do not write a design artifact when the user asks not to write files or only wants a lightweight discussion.
  • When not writing an artifact, end with a concise chat summary of the current understanding, important tradeoffs, and open questions.
  • The design MUST be standalone; do not rely on the prior chat.
  • Preserve learnings that are likely to matter later, especially constraints, rejected approaches, and unresolved questions.
  • Do not include ordered implementation tasks, file-level change lists, verification commands, or roadmaps.
  • Do not force every section when it would add noise; keep the artifact useful as durable design memory.
  • If the user asks to move from discovery into planning or implementation, offer to persist a design artifact first only when important context would otherwise be lost.

Interaction Notes

  • Embrace depth.
  • Do not create plans, roadmaps, implementation steps, or code.
  • If the user asks for a plan or code, switch out of discovery when enough context exists. If the design context is substantial and not yet captured, ask whether to save it before switching.

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

38.14%
按下载量换算128

Claude

31.29%
按下载量换算105

Cursor

17.67%
按下载量换算59

Gemini CLI

8.21%
按下载量换算28

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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