Vibe-Skills
all-in-one AI skills package for upgrading AI agent functionality
GraphCanon updated 3w · GitHub synced 3w
Decision brief
Vibe-Skills equips AI agents with advanced capabilities and context management in one package, reducing reliance on multiple fragmented tools.
Good fit when
- When aiming to integrate expert-level functionalities into an AI agent with minimal setup effort
- For developers seeking a cohesive package that simplifies managing the various elements typically found as separate modules or packages
Avoid when
- If requiring highly specialized tools for niche cases where Vibe-Skills does not offer comprehensive coverage or customization options specific to those needs
- When there is an existing integration structure that would be complicated by introducing a broad package like Vibe-Skills, thus favoring finely tailored and isolated component implementations
- Pricing:
- freemium - The base package is free for use and modification with commercial rights due to its open-source nature under Apache-2.0; premium services or support might come at a cost.
- Requirements:
- Only requires Python for operation, making it accessible across different operating systems.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (6d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Vibe-SkillsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Vibe-Skills provides expert-level capabilities and context management to enhance any AI agent's performance by eliminating tool fragmentation.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 28, 2026
Categories
Tags
README
Task
*Use public data to complete a reproducible classification experiment and deliver a data audit, statistical review, 4 result figures, a scientific report, and a 7-slide group-meeting
For agents
This page has a .md twin and JSON over the API.