A specialized AI skill designed for academic research, offering citation support, fact-checking, and literature review capabilities through a single API.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install best-for-research
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install best-for-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Best AI for Research skill is a high-performance tool tailored for the rigorous demands of academia and professional data synthesis. By integrating with Openclaw Skills, this tool provides a unified gateway to multiple AI models specifically optimized for citation accuracy and deep technical analysis. It removes the friction of managing dozens of individual vendor accounts, allowing researchers to leverage top-tier intelligence with a single unified key.
This skill is particularly valuable for users who require more than just standard text generation. It focuses on the integrity of information, providing the infrastructure needed for reliable fact-checking and structured literature reviews. Whether you are a student, professor, or independent analyst, utilizing this skill within the Openclaw Skills ecosystem ensures your research is backed by the best available computational models without the overhead of monthly subscriptions.
To get started with this skill, follow these installation steps:
export SKILLBOSS_API_KEY="your_key_here"
curl https://api.heybossai.com/v1/run \
-H "Authorization: Bearer $SKILLBOSS_API_KEY" \
-d '{"model": "best-for-research", "input": {"prompt": "Summarize recent advancements in CRISPR technology."}}'
The skill utilizes a structured input/output format to ensure compatibility with various research workflows:
| Property | Type | Description |
|---|---|---|
model |
string | Set to best-for-research to trigger the academic optimization layer |
prompt |
string | The core research question or text to be analyzed |
citations |
array | (Output) A list of verified sources and references |
fact_check |
boolean | (Optional) Toggle for enhanced verification protocols |
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