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Insight Song

作者 Lee Brown · GitHub ↗ · v1.0.1
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在 OpenClaw 中安装
/install insight-song
功能描述
Transform technical insights into Suno-ready songs with lyrics, style tags, and emotional arc
使用说明 (SKILL.md)

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

Argument Required Description
topic No Topic 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:

Question What 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

Rule Description
Tell a story Beginning, middle, end with clear arc
Technical but singable Don't sacrifice accuracy for rhyme
Visual imagery Designed for audio+visual reinforcement
Emotional arc Matches the technical journey
NO literal specifics Use metaphor and symbol, not file names or metrics
NO artist names Extract 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

Element Question
Problem What was broken/painful?
Discovery What did we learn?
Solution What pattern emerged?
Impact Why 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

Condition Behavior
Insufficient context Ask clarifying questions first
No clear narrative arc Decline, explain what's missing
Surface-level topic Suggest 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.

安全使用建议
This skill is coherent and low-risk from an installation perspective because it is instruction-only and asks for no credentials. Before enabling it, consider: (1) the skill will read the conversation context to synthesize songs — avoid including secrets or proprietary text you don't want rephrased into output; (2) although the SKILL.md advises against literal specifics, review generated lyrics for any accidental inclusion of sensitive filenames, tokens, or private details before sharing externally; (3) if you prefer to prevent autonomous invocation, disable model-driven invocation or require explicit user invocation in your agent settings; (4) confirm you trust the skill author/published source if you care about license or provenance. If you want extra assurance, test the skill in a non-sensitive conversation first.
功能分析
Type: OpenClaw Skill Name: insight-song Version: 1.0.1 The OpenClaw AgentSkill 'insight-song' is classified as benign. The `SKILL.md` file, which serves as both documentation and instructions for the AI agent, consistently describes a creative skill focused on synthesizing conversation into song lyrics. Crucially, the 'Security Considerations' section explicitly states that the skill 'does NOT read files from the workspace or access project artifacts directly,' nor does it 'send data to external services' or 'call external APIs.' There are no instructions for the agent to perform any system-level operations, execute external commands, or engage in prompt injection to subvert its intended purpose. All instructions guide the agent in content generation and synthesis, aligning perfectly with its stated function.
能力评估
Purpose & Capability
Name/description (convert technical insights into Suno-ready songs) match the actual instructions: synthesizing conversation context into lyrics, style tags, and formatting. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
Runtime instructions ask the agent to 'read full conversation context' and extract 'key decisions' and 'aha moments' — this is appropriate for the stated goal but means the skill will process whatever conversation content is available, which can include sensitive information. The SKILL.md explicitly forbids reading workspace files and literal specifics in output, and gives clear formatting rules; there are no instructions to transmit data to external endpoints beyond returning results to the agent.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk installation footprint (nothing is written to disk and no remote downloads occur).
Credentials
No environment variables, credentials, or config paths are requested. The declared permissions are minimal and proportional to a conversation-synthesis creative skill.
Persistence & Privilege
Skill is not marked always:true and has no install-time persistence; it is user-invocable and allows normal model invocation (disable-model-invocation: false). That is expected for skills that may be invoked autonomously by an agent, but users should be aware the agent may invoke it based on conversation context unless they restrict skill invocation in their agent settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install insight-song
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /insight-song 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
- Security model updated: The skill no longer reads or writes workspace files; it only uses user input or conversation context and returns results directly to the invoking agent. - Documentation clarified to reflect new data handling, specifying no direct access to project artifacts or files. - Output behavior described: agent now controls how to use (save, display, or route) the generated song. - "Workspace Files" section removed to reflect no file system interaction. - Acceptance criteria and checklists updated for new return-based design.
v1.0.0
insight-song v1.0.0 - Initial release of the "insight-song" skill by Live Neon. - Synthesizes technical conversations into Suno.ai-ready songs, with narrative arc, sectioned lyrics, and style tags. - Offers clear requirements and checklist to ensure meaningful insights and emotional storytelling. - Outputs Markdown-formatted files to `output/songs/` for direct Suno integration. - Standalone creative skill; no external dependencies or API calls.
元数据
Slug insight-song
版本 1.0.1
许可证
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Insight Song 是什么?

Transform technical insights into Suno-ready songs with lyrics, style tags, and emotional arc. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 395 次。

如何安装 Insight Song?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install insight-song」即可一键安装,无需额外配置。

Insight Song 是免费的吗?

是的,Insight Song 完全免费(开源免费),可自由下载、安装和使用。

Insight Song 支持哪些平台?

Insight Song 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Insight Song?

由 Lee Brown(@leegitw)开发并维护,当前版本 v1.0.1。

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