Skill CollectionNot tested

OpenClaw Master Skills

Large OpenClaw collection with selected research and analysis Skills

OpenClaw Master Skills is a very large curated collection spanning AI tools, productivity, development, finance, media, research, and many other topics. Some components support literature, analysis, patents, grants, and documents, but the collection is not academically focused.

For: Research Postgraduate Students, Academic Researchers, Research Support Staff

GitHub stars
2,085
Licence
MIT
Source updated
29 Jun 2026
Access
Publicly available

What this resource does

Core uses

About this resource

OpenClaw Master Skills is a very large curated collection spanning AI tools, productivity, development, finance, media, research, and many other topics. Some components support literature, analysis, patents, grants, and documents, but the collection is not academically focused.

This page groups representative academic components by task; review the repository for the complete inventory.

01

Selected academic research Skills

Contains individual Skills for deep research, literature review, and academic research workflows.

Typical inputs
Research topic and selected Skill; Relevant source requirements
Output
Component-dependent research notes, source summaries, or review material.

Best for: Trying one traced and reviewed academic component rather than installing the whole catalogue.

Skills for this task

academic-deep-research

A named academic deep-research Skill in the broad collection.

ai-powered-literature-review-skills

A named literature-review component in the collection.

02

Selected data and document Skills

Includes general components for data analysis and document preparation that may support research tasks.

Typical inputs
Dataset or document materials; Selected component and its dependencies
Output
A component-dependent analysis or document artifact.

Best for: Users who have separately checked one component's provenance and requirements.

Skill for this task

data-analysis

A general data-analysis component that may be used with research data.

Use boundaries

Limits and checks

Component provenance

Origins, licences, maintenance, and quality may vary.

Trace and review the selected component before installation.

Variable permissions

Risk cannot be assessed once at repository level.

Inspect dependencies and permissions for each selected Skill.

Academic over-attribution

Repository-wide academic claims can mislead users.

Use a separately reviewed academic subset.

More boundaries
  • Task boundary: The collection is not one coherent academic workflow and most components are unrelated to research.
  • Input boundary: Components cannot use missing services, packages, credentials, or inaccessible research materials.
  • Decision boundary: Research outputs require independent source, method, and provenance review.
Technical details
Resource type
Skill Collection
Author or maintainer
LeoYeAI
Latest release
v0.18.0 — Weekly Update (v0.18.0)
Source last updated
29 Jun 2026
Last verified
15 Jul 2026
Documented applications
OpenClaw
Licence
MIT
Access
Publicly available
Additional costs
Platform terms or usage limits may apply. API usage fees may apply for selected components. External services, software, compute, or data access may have separate costs.
Skill instruction language
English
Documentation language
English
Repository languages
Python, Markdown, JavaScript or TypeScript, Rust
Dependencies
OpenClaw; Component-specific packages, APIs, accounts, and services
Review status
Not tested

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Related resources

Install OpenClaw Master Skills