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vincentkoc
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vincentkoc/dotskills

๐Ÿ™ A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns.

โ˜…110STARS
โ‘‚9FORKS
!1ISSUES
๐Ÿ†#21,901GLOBAL RANK
๐Ÿ”ฅ7DAYS TRENDING
๐Ÿš€
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โšก Executive Summary & Quick Facts

Authoritative Source

dotskills is dotskills is an open-source project written in Python: ๐Ÿ™ A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), vincentkoc/dotskills has accumulated 110 GitHub stars and 9 forks. It is written in Python, licensed under MIT, and ranks #21,901 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
Repository vincentkoc/dotskills โ†—
Primary Category agentic workflows
Language & Stack Python
Software License MIT
Community Traction โ˜… 110 stars ยท โ‘‚ 9 forks ยท #21,901 globally
Maintenance โ— Active (Last commit: Oct 26, 2026) ยท 1 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ›ก๏ธ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 ยท Grade A+
โœ…
Is dotskills actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, dotskills is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (7 days ago). Supported by 110 stars and 9 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 26, 2026
7 days since last push
Issue Backlog
1 Open Issues
Healthy Issue Cadence
Community Backing
9 Forks
110 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for vincentkoc/dotskills
CSV
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Momentum

+10

STARS ยท LAST 30 DAYS

1

PER DAY

#2,968

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

dotskills gained 10 stars in the last 30 days, about 1 a day, and now has 110. It is about 1 year old and has averaged roughly 110 stars a year. It ranks #2,968 among Python repositories and #21,901 across all languages on GitHubRepo.

Trending Record

dotskills has maintained a continuous presence across global trending indexes, peaking at #18838. Below is the 30-day activity profile:

๐Ÿ’ก Overview

dotskills is an open-source project written in Python: ๐Ÿ™ A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agentic-workflows, ai-assistant, automation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

โšก Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

๐Ÿ“ฅ Installation

terminal
$ pip install dotskills

โš™ System Requirements

Platforms

  • โ€ข macOS
  • โ€ข Linux
  • โ€ข Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

๐Ÿง  How It Works

dotskills coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

๐ŸŽฏ Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with dotskills.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

๐Ÿš€ Getting Started

1

Install dotskills using your package manager: `pip install dotskills`

2

Initialize your project workspace or configuration file for dotskills.

3

Import dotskills into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `dotskills --help` to verify successful setup.

๐Ÿ‘ Strengths

Active community backing with 110 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

โš ๏ธ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

โ‡„ Alternatives & Direct Competitors

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๐Ÿ‘ฅ Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

๐Ÿ† Nearby in the Rankings

vincentkoc/dotskills is currently ranked #21,901 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#21,813 uclanlp/OpenVLHarness Python โ˜… 111 Compare โ†—
#21,813 Deepusleepy/t3-tots JavaScript โ˜… 111 Compare โ†—
#21,813 flemuh/radar-public-sector Python โ˜… 111 Compare โ†—
#21,813 cpypwn/mac2jb JavaScript โ˜… 111 Compare โ†—
#21,813 azlen/initialis JavaScript โ˜… 111 Compare โ†—
#21,901 vincentkoc/dotskills This Project Python โ˜… 110
#21,901 dan-manges/unit-record Ruby โ˜… 110 Compare โ†—
#21,901 hinke/the-cloud-player JavaScript โ˜… 110 Compare โ†—
#21,901 xmpppy/xmpppy Python โ˜… 110 Compare โ†—
#21,901 creationix/jquery-haml JavaScript โ˜… 110 Compare โ†—
#21,901 danielsdeleo/qusion Ruby โ˜… 110 Compare โ†—
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Frequently Asked Questions

What does dotskills do? +

๐Ÿ™ A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns.

Is dotskills actively maintained in 2026? +

Yes, dotskills is actively maintained. The latest code push was recorded on Oct 26, 2026 (7 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 110 stars and 1 open issues.

What language is dotskills written in? +

The primary language is Python. Topics include: agentic-workflows, ai-assistant, automation, codex, developer-tools.

How many stars does dotskills have? +

dotskills has 110 stars and 9 forks on GitHub.

How does dotskills rank among GitHub repositories? +

With 110 stars, vincentkoc/dotskills is ranked #21,901 globally across all repositories tracked on GitHubRepo and #2,968 among Python projects.

What license is dotskills distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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