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side-quests支线任务

Agent Skill

side-quests 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。

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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:side-quests(支线任务)
来源仓库:https://github.com/leegitw/side-quests
安装命令:
openclaw skills install side-quests
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 side-quests

简介

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。
  • 完整的创意综合——将歌曲、视觉概念和 TED 演讲从单一的技术洞察中结合起来
  • side-quests 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
side-quests
version
1.0.2
description
Full creative synthesis — combine song, visual concept, and TED talk from a single technical insight
author
Live Neon <hello@liveneon.ai>
homepage
https://github.com/live-neon/skills/tree/main/creative/side-quests
repository
leegitw/side-quests
license
MIT
tags
[creative, synthesis, songwriting, storytelling, ted-talk, visual-guide, reflection, knowledge-transfer, suno, learning]
layer
creative
status
active
alias
sq
user-invocable
true
emoji
🎭

side-quests (遊)

Full creative synthesis that combines all three creative artifacts from a single technical insight: a Suno-ready song, a visual concept guide, and a full TED talk.

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

Core insight: "Context without action is paralysis. Action without context is chaos. Side quests are context made actionable through creative synthesis."

Installation

openclaw install leegitw/side-quests

Dependencies: None required, but works with component skills:

  • leegitw/insight-song — Song component (can be used standalone)
  • leegitw/visual-concept — Visual guide component (can be used standalone)
  • leegitw/ted-talk — TED talk component (can be used standalone)

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. Multi-format creative synthesis provides reinforcement through multiple channels:

  1. Song — Audio reinforcement, emotional arc
  2. Visual concept — Symbolic representation, visual metaphor
  3. TED talk — Comprehensive narrative, concrete examples

The insight: Creation forces synthesis. Making creative artifacts about a concept reveals gaps that passive understanding cannot. Audio + visual + narrative = deeper learning.

Usage

/sq [topic]

Or use individual components:

/song [topic]    # Just the song
/vc [topic]      # Just the visual concept
/ted [topic]     # Just the TED talk

Arguments

ArgumentRequiredDescription
topicNoTopic focus (default: synthesize current conversation)

Pre-Requisites

Before creating a side quest, ensure:

  1. Sufficient conversation depth — Surface-level summaries don't make good artifacts
  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
  • Would be padding with generic content

Output Structure

Each side quest produces a single markdown file with three sections:

1. Song (Suno.ai Format)

## Song

**Title**: [Song Name]

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

[Verse 1]
[Lyrics]

[Chorus]
[Lyrics]

[...]

Song Rules:

  • Tell a story with emotional arc
  • Technical but singable
  • Visual imagery (for audio+visual)
  • NO literal specifics — metaphor and symbol only
  • NO artist names in lyrics or style tags

2. Visual Concept Guide

## Visual Concept Guide

**Core Visual Concept**: [Primary metaphor]

### Visual Themes & Imagery
[3-7 major themes]

### Symbolic Visual Elements
[Technical concepts as visual symbols]

### Emotional Color Arc
[Color palette evolution]

### Motion & Rhythm
[Movement patterns]

### Key Visual Contrasts
[Before/after, chaos/order]

Visual Guide Rules:

  • Conceptual inspiration, NOT shot list
  • NO specific durations or camera angles
  • Provide creative direction, not constraints

3. TED Talk (Full Length)

## TED Talk: "[Talk Title]"

### Opening (0:00-2:00)
[Hook with relatable problem]

### Setup: Why This Matters (2:00-6:00)
[Why this matters, stakes]

### The Problem (6:00-12:00)
[Deep dive into the pain point]

### Core Concept (12:00-25:00)
[Explain thoroughly]

### Real-World Examples (25:00-38:00)
[Concrete, specific details from context provided]

### Broader Implications (38:00-45:00)
[Connect to broader context]

### Closing (45:00-48:00)
[Call to action]

### Q&A Preparation (48:00-50:00)
[Address objections]

TED Talk Rules:

  • Full 40-50 minutes, NOT a summary
  • Ground in reality with specific details from provided context
  • Address likely objections in Q&A

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: Generate All Three Artifacts

The skill generates each component sequentially:

  1. Song: Technical insight → emotional arc → Suno-ready lyrics
  2. Visual Concept: Core metaphor → symbolic elements → color arc
  3. TED Talk: Hook → explanation → examples → implications → Q&A

Step 4: Return Combined Artifact

Return the complete artifact (song + visual concept + TED talk) to the invoking agent.

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 Summary

Song excerpt:

[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

Visual concept:

  • Core metaphor: Darkness giving way to illumination
  • Symbolic elements: Golden threads (trace IDs), Red fractures (errors)
  • Color arc: Deep blues → Warm golds → Bright clarity

TED talk opening:

"It's 3 AM. Your pager goes off. The system is on fire — users are complaining, something is clearly wrong. You pull up your logs and... nothing."

Integration

  • Layer: Creative
  • Depends on: None (standalone)
  • Components: insight-song, visual-concept, ted-talk
  • Complements: Observation workflows, plan documentation, knowledge capture

Component Skills

Use individual components when you only need one format:

SkillAliasOutput
insight-song/songSuno-ready song
visual-concept/vcVisual concept guide
ted-talk/tedFull TED talk

Failure Modes

ConditionBehavior
Insufficient contextAsk clarifying questions first
No clear narrative arcDecline, explain what's missing
Surface-level topicSuggest deeper exploration first
Main work not documentedPrompt to save progress first

Security Considerations

Orchestration Note: This skill implements combined logic directly. It does NOT spawn or invoke other installed skills (insight-song, visual-concept, ted-talk). The component skill instructions are embedded inline within this skill.

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
  • Modify source code
  • Spawn other skills (all logic is inline)

Output behavior: This skill returns the combined artifact (song + visual concept + TED talk) directly to the invoking agent. The agent can then display, save, or pass the result to another skill as needed.

Note on TED talks: TED talks use concrete details from the context you provide. Review before sharing externally to ensure no sensitive information is included.

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 emotional arc
  • [ ] Visual guide is inspirational not prescriptive
  • [ ] TED talk is 40-50 minutes of substantial content
  • [ ] No filler or generic padding

Acceptance Criteria

  • [ ] /sq generates all three artifact types
  • [ ] Song formatted for Suno.ai (title, tags, sections)
  • [ ] Visual guide is conceptual, not prescriptive
  • [ ] TED talk is full length with concrete examples
  • [ ] Result returned to invoking agent
  • [ ] Individual components also available via /song, /vc, /ted

*"The detours became destinations. The questions we didn't expect to ask. The patterns we found by paying attention to what emerged."*


*Part of the Live Neon Creative Suite.*

适合场景

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能力 1

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能力 3

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能力 4

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能力 5

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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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执行命令

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