Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Content Creation
Side Quests
Full creative synthesis — combine song, visual concept, and TED talk from a single technical insight
skill openclawclawhub Free
Full creative synthesis — combine song, visual concept, and TED talk from a single technical insight
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- leegitw
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: Song — Audio reinforcement, emotional arc Visual concept — Symbolic representation, visual metaphor 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
ArgumentRequiredDescriptiontopicNoTopic focus (default: synthesize current conversation)
Pre-Requisites
Before creating a side quest, ensure: Sufficient conversation depth — Surface-level summaries don't make good artifacts Clear narrative arc — Problem → Discovery → Solution → Impact Main work documented — Save current progress first if mid-task
Context Understanding Checklist
You must be able to answer: QuestionWhat It MeansCore insight?Not "we talked about X" but "we discovered X solves Y"Problem solved?The pain point, not just the topicWhy, not just what?The reasoning, not just the outcomeSubstantial 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
Step 1: Synthesize Conversation
Read full conversation context Identify key decisions, "aha" moments Extract core insight or pattern
Step 2: Identify Narrative Arc
ElementQuestionProblemWhat 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: Song: Technical insight → emotional arc → Suno-ready lyrics Visual Concept: Core metaphor → symbolic elements → color arc 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.
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: SkillAliasOutputinsight-song/songSuno-ready songvisual-concept/vcVisual concept guideted-talk/tedFull TED talk
Failure Modes
ConditionBehaviorInsufficient contextAsk clarifying questions firstNo clear narrative arcDecline, explain what's missingSurface-level topicSuggest deeper exploration firstMain 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.
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md