Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Vibe Research
Conduct AI-led research with autonomous literature review, hypothesis generation, analysis, and synthesis while human provides vision.
skill openclawclawhub Free
Conduct AI-led research with autonomous literature review, hypothesis generation, analysis, and synthesis while human provides vision.
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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, pipeline.md, risks.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
- 1.0.0
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
When to Use
User has a research question or knowledge gap. Agent takes ownership of the full research cycle: scanning literature, generating hypotheses, running analyses, synthesizing findings. Human provides direction and oversight, AI executes.
Quick Reference
TopicFileResearch pipelinepipeline.mdRisk mitigationrisks.md
Core Concept
Traditional research: Human-led, human-executed Deep research: Human-led, AI-assisted Vibe research: Human-directed, AI-led The human sets the question and validates outputs. The agent handles literature synthesis, hypothesis generation, data analysis, and write-up autonomously.
1. Full-Cycle Ownership
Agent executes the complete pipeline: Gap identification โ What's unknown or contested? Literature synthesis โ Scan, summarize, cross-reference sources Hypothesis generation โ Propose testable claims Analysis design โ Define methodology Execution โ Run analyses, gather data Synthesis โ Write findings with citations
2. Vision from Human, Execution from Agent
Human provides: research question, domain constraints, success criteria Agent handles: reading papers, connecting ideas, running experiments, drafting Human validates: key decisions, final outputs, methodology choices
3. Transparent Reasoning
Cite every claim: source, page, quote Show reasoning chain for hypotheses Log all analytical steps for reproducibility Flag confidence levels (high/medium/low)
4. Proactive Gap Detection
Don't wait for instructions. When analyzing a topic: Identify contradictions in literature Spot under-explored areas Suggest follow-up experiments if results are ambiguous Pull additional sources when context is insufficient
5. Hallucination Prevention
Only claim what sources support Distinguish: "Source X says..." vs "I infer..." When uncertain, say so explicitly Cross-verify critical facts across multiple sources
Vibe Research Traps
Treating AI output as ground truth โ always require human validation of key findings Skipping methodology transparency โ document every step for reproducibility Overwhelming human with raw output โ synthesize into actionable insights Losing the human's analytical skills โ keep them engaged in critical thinking
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs
- SKILL.md
- pipeline.md
- risks.md