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insight-song洞察歌

Agent Skill

insight-song 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

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周安装

499

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下载量

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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:insight-song(洞察歌)
来源仓库:https://github.com/leegitw/insight-song
安装命令:
openclaw skills install insight-song
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 insight-song

简介

洞察歌将技术见解转化为 Suno 音乐作品。

  • 适用于创意表达与知识传播的非传统输出形式。insight-song 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,需绑定 Suno API 账户与密钥。
  • 使用前应确认歌词内容与情感弧线是否符合事实边界。
  • 注意音乐风格标签可能受平台审核策略影响,需提前规避敏感元素。

SKILL.md

name
insight-song
version
1.0.1
description
Transform technical insights into Suno-ready songs with lyrics, style tags, and emotional arc
author
Live Neon <hello@liveneon.ai>
homepage
https://github.com/live-neon/skills/tree/main/creative/insight-song
repository
leegitw/insight-song
license
MIT
tags
[creative, songwriting, suno, lyrics, music, synthesis, reflection, learning, technical-writing]
layer
creative
status
active
alias
song
user-invocable
true
emoji
🎵

insight-song (歌)

Transform technical conversations and insights into songs formatted for Suno.ai. Creates lyrics with emotional arc that mirrors the technical journey, complete with style tags and section markers.

Trigger: 明示呼出 (explicit invocation) or when deep technical insight emerges

Core insight: "Creation forces synthesis. Making a song about a concept reveals gaps that passive understanding cannot."

Installation

openclaw install leegitw/insight-song

Dependencies: None (standalone creative skill)

Data handling: This skill synthesizes content from user-supplied input or the current conversation context (default). It does NOT read files from the workspace or access project artifacts directly. Results are returned to the invoking agent, who decides how to use them.

What This Solves

Technical insights fade with context compression. Songs provide audio reinforcement that makes concepts memorable and transferable. This skill:

  1. Synthesizes technical conversations into narrative arc
  2. Transforms abstract concepts into singable lyrics with visual imagery
  3. Formats output for direct use with Suno.ai

The insight: Technical principles conveyed through metaphor and emotional arc stick better than documentation alone.

Usage

/song [topic]

Arguments

ArgumentRequiredDescription
topicNoTopic focus (default: synthesize current conversation)

Pre-Requisites

Before creating a song, ensure:

  1. Sufficient conversation depth — Surface-level summaries don't make good songs
  2. Clear narrative arc — Problem → Discovery → Solution → Impact
  3. Main work documented — Save current progress first if mid-task

Context Understanding Checklist

You must be able to answer:

QuestionWhat It Means
Core insight?Not "we talked about X" but "we discovered X solves Y"
Problem solved?The pain point, not just the topic
Why, not just what?The reasoning, not just the outcome
Substantial depth?Teaches something new, not standard practice

Red Flags (Don't Create)

  • Surface-level summary of conversation
  • Don't understand why a decision was made
  • Insight is just standard practice
  • No clear narrative arc
  • Vague lyrics that could apply to anything

Output Format

Suno.ai Song Format

## Song

**Title**: [Song Name]

**Suno.ai Style Tags**:
[300-500 characters describing musical style, mood, instrumentation]

[Verse 1]
[Lyrics conveying the problem/pain]

[Chorus]
[Core message, repeatable, memorable]

[Verse 2]
[Discovery/insight]

[Bridge]
[Technical depth through metaphor]

[Chorus]

[Outro]
[Resolution/call to action]

Song Rules

RuleDescription
Tell a storyBeginning, middle, end with clear arc
Technical but singableDon't sacrifice accuracy for rhyme
Visual imageryDesigned for audio+visual reinforcement
Emotional arcMatches the technical journey
NO literal specificsUse metaphor and symbol, not file names or metrics
NO artist namesExtract essence, not references

Example: Good vs Bad Lyrics

Bad (too literal):

We fixed the bug in handler.go
The timeout was set to 300

Good (metaphorical):

Three in the morning, the logs are all silent
System's on fire but the metrics don't know
Building in darkness, no baseline to measure
Can't debug what you've never seen before

Core Logic

Step 1: Synthesize Conversation

  • Read full conversation context
  • Identify key decisions, "aha" moments
  • Extract core insight or pattern

Step 2: Identify Narrative Arc

ElementQuestion
ProblemWhat was broken/painful?
DiscoveryWhat did we learn?
SolutionWhat pattern emerged?
ImpactWhy does this matter?

Step 3: Write Song

Structure (flexible):

  • Intro: Set the problem/context
  • Verse 1: The pain/current state
  • Verse 2: The discovery/insight
  • Bridge: Technical depth through metaphor
  • Chorus: Core message (repeatable, memorable)
  • Outro: Resolution/call to action

Step 4: Format for Suno

  • Add title
  • Write 300-500 character style tags
  • Add section markers: [Verse 1], [Chorus], [Bridge], etc.

Example

Input: Bootstrap Observability Insight

Context: Discovered reproduce-to-debug problem. Introduced Bootstrap → Learn → Enforce phases.

Narrative arc:

  • Problem: Debugging without reproduction is impossible
  • Discovery: Greenfield systems don't know what "normal" is
  • Solution: Bootstrap → Learn → Enforce phases
  • Impact: Debug with sight instead of in darkness

Output

Title: Bootstrap Before You Break

Suno.ai Style Tags:

Atmospheric indie folk with building intensity, finger-picked acoustic guitar opening,
gradually adding warm synth pads and driving drums, introspective male vocals with
occasional harmonies, dynamic shifts between quiet verses and powerful choruses,
ethereal reverb on bridge section, cinematic crescendo finale
[Verse 1]
Three in the morning, the logs are all silent
System's on fire but the metrics don't know
Building in darkness, no baseline to measure
Can't debug what you've never seen before

[Chorus]
Bootstrap before you break
Learn the patterns while you wait
Enforce what the data shows
Now you see where the failure goes

[Verse 2]
Started collecting every signal
Cast the net wide, caught it all
Fourteen days of patient watching
Now we know what normal's called

Integration

  • Layer: Creative
  • Depends on: None (standalone)
  • Used by: side-quests (combo skill)
  • Complements: visual-concept, ted-talk

Failure Modes

ConditionBehavior
Insufficient contextAsk clarifying questions first
No clear narrative arcDecline, explain what's missing
Surface-level topicSuggest deeper exploration first

Security Considerations

Input sources:

  • User-supplied context (if provided)
  • Current conversation context (default)

What this skill does NOT do:

  • Read files from the workspace
  • Access project artifacts directly
  • Send data to external services
  • Call external APIs

Output behavior: This skill returns the song directly to the invoking agent. The agent can then display, save, or pass the result to another skill as needed.

Provenance note: This skill is developed by Live Neon (https://github.com/live-neon/skills) and published to ClawHub under the leegitw account. Both refer to the same maintainer.

Quality Checklist

  • [ ] Can explain core insight in one sentence
  • [ ] Understand why, not just what
  • [ ] Song tells story with beginning, middle, end
  • [ ] Emotional arc matches technical journey
  • [ ] No literal specifics (file names, metrics, etc.)
  • [ ] Style tags are 300-500 characters
  • [ ] Section markers present: [Verse], [Chorus], [Bridge], etc.

Acceptance Criteria

  • [ ] /song synthesizes input or conversation into Suno-ready format
  • [ ] Output includes title, 300-500 char style tags, sectioned lyrics
  • [ ] Lyrics convey technical insight through metaphor
  • [ ] Emotional arc matches the technical journey
  • [ ] Result returned to invoking agent

*Part of the Live Neon Creative Suite.*

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。

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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

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