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idea-spark想法火花

Agent Skill

idea-spark 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

9,029

周安装

380

GitHub Stars

1

下载量

3,162
OpenClaw

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

MIT-0

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:idea-spark(想法火花)
来源仓库:https://github.com/spideystreet/idea-spark
安装命令:
openclaw skills install idea-spark
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install idea-spark

简介

根据用户兴趣领域生成定制化项目构想,激发创作灵感。

  • 适用于创业初期、内容创作或技术开发前的头脑风暴环节。
  • 输入关键词或行业方向后返回多个可行 idea 及其简要说明。
  • 需用户提供明确偏好标签以提升推荐相关性。idea-spark 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 注意输出为建议性质,实际应用前仍需进一步验证与细化。

SKILL.md

name
idea-spark
description
Generate project ideas based on a domain or interest. Use when the user asks for project ideas, wants inspiration, says 'what should I build', 'give me ideas', 'project suggestions', or wants to find underserved niches. Complements idea-check for validation.
metadata
{}

Idea Spark

Generates actionable project ideas by scanning real pain points from Hacker News, Reddit, and GitHub, then optionally validates them with idea-check.

Workflow

1. Extract the domain

From the user's message, extract:

FieldNotes
domainArea of interest (e.g. "developer tools", "health tracking", "AI agents")
countNumber of ideas requested (default: 5)
typeProject type if specified: CLI tool, API, bot, app, library (default: any)

If the domain is vague, ask for clarification before proceeding.

2. Research pain points

Run 3 searches in parallel using the built-in web_search tool to find real problems people are complaining about or requesting:

{ "tool": "web_search", "query": "site:news.ycombinator.com \"I wish\" OR \"someone should build\" OR \"why isn't there\" <domain> 2025 2026" }
{ "tool": "web_search", "query": "site:reddit.com \"looking for\" OR \"is there a\" OR \"frustrated with\" <domain> tool" }
{ "tool": "web_search", "query": "github.com trending <domain> OR \"help wanted\" OR \"good first issue\" <domain>" }

3. Synthesize ideas

From the search results, extract recurring themes and unmet needs. For each idea, produce:

FieldFormat
nameShort project name (2-4 words)
pitchOne-line description of what it does
painThe real problem it solves (with source: HN/Reddit/GitHub)
typeCLI, API, bot, app, library, MCP server, OpenClaw skill
effortlow / medium / high

Generate count ideas, ranked by how specific and actionable the pain point is.

4. Validate with idea-check (if available)

For each idea, run a quick validation:

{
  "tool": "exec",
  "command": "mcporter call idea-reality.idea_check idea_text=\"<pitch>\" depth=quick"
}

If mcporter or idea-reality is not available, skip this step and note that validation was not performed.

Add the reality_signal score to each idea. Flag ideas with signal > 70 as "crowded".

5. Present the results

Format — strict:

💡 Idea Spark — <domain> — <count> ideas

1. <name>
   <pitch>
   Pain: <pain> (source)
   Type: <type> · Effort: <effort> · Signal: <score>/100 <status>

2. ...

Status mapping:

  • Signal < 30: "open field"
  • Signal 30-70: "some competition"
  • Signal > 70: "crowded"
  • Not checked: "not validated"

6. Follow-up

After presenting, suggest:

  • "Want me to deep-check any of these?" → run idea-check with depth=deep
  • "Want me to start building #N?" → proceed with development

7. Error handling

  • If web searches return no results → broaden the domain, try without site filters
  • If all ideas score > 70 → tell the user the space is saturated, suggest narrowing the niche
  • If mcporter is not available → present ideas without validation, mention idea-check for later
  • If the domain is too broad (e.g. "tech") → ask the user to narrow down

Examples

User saysDomainAction
"Give me 5 project ideas for developer tools"developer toolsSearch HN/Reddit/GitHub, generate 5 ideas, validate each
"What should I build in the AI agent space?"AI agentsSearch for pain points, generate ideas, validate
"I want to build something with MCP servers"MCP serversFocus on MCP ecosystem gaps, generate ideas
"Startup ideas around health tracking"health trackingSearch for unmet needs, generate ideas, flag crowded ones

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

77.97%
按下载量换算2,465

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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。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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