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Category: Agent Skills
Sub-category: General
Author: Zara Zhang
From issue: #1190
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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## Latest Additions
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-[Codebase to Course](https://github.com/zarazhangrui/codebase-to-course) by [Zara Zhang](https://github.com/zarazhangrui) - A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course for non-technical vibe coders.
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-[Ruflo](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) - An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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-[Claude Scientific Skills](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) - "A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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-[parry](https://github.com/vaporif/parry) by [Dmytro Onypko](https://github.com/vaporif) - Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. [NOTE: Early development phase but worth a look.].
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## Contents
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-[Claude Codex Settings](https://github.com/fcakyon/claude-codex-settings) by [fatih akyon](https://github.com/fcakyon) - A well-organized, well-written set of plugins covering core developer activities, such as working with common cloud platforms like GitHub, Azure, MongoDB, and popular services such as Tavily, Playwright, and more. Clear, not overly-opinionated, and compatible with a few other providers.
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-[Claude Mountaineering Skills](https://github.com/dreamiurg/claude-mountaineering-skills) by [Dmytro Gaivoronsky](https://github.com/dreamiurg) - Claude Code skill that automates mountain route research for North American peaks. Aggregates data from 10+ mountaineering sources like Mountaineers.org, PeakBagger.com and SummitPost.com to generate detailed route beta reports with weather, avalanche conditions, and trip reports.
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-[Claude Scientific Skills](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) - "A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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-[Codebase to Course](https://github.com/zarazhangrui/codebase-to-course) by [Zara Zhang](https://github.com/zarazhangrui) - A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course for non-technical vibe coders.
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-[Codex Skill](https://github.com/skills-directory/skill-codex) by [klaudworks](https://github.com/klaudworks) - Enables users to prompt codex from claude code. Unlike the raw codex mcp server, this skill infers parameters such as model, reasoning effort, sandboxing from your prompt or asks you to specify them. It also simplifies continuing prior codex sessions so that codex can continue with the prior context.
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-[Compound Engineering Plugin](https://github.com/EveryInc/compound-engineering-plugin) by [EveryInc](https://github.com/EveryInc) - A very pragmatic set of well-designed agents, skills, and commands, built around a discipline of turning past mistakes and errors into lessons and opportunities for future growth and improvement. Good documentation.
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-[Context Engineering Kit](https://github.com/NeoLabHQ/context-engineering-kit) by [Vlad Goncharov](https://github.com/LeoVS09) - Hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint focused on improving agent result quality.
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## Latest Additions
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-[Codebase to Course](https://github.com/zarazhangrui/codebase-to-course) by [Zara Zhang](https://github.com/zarazhangrui) - A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course for non-technical vibe coders.
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-[Ruflo](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) - An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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-[Claude Scientific Skills](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) - "A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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-[parry](https://github.com/vaporif/parry) by [Dmytro Onypko](https://github.com/vaporif) - Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. [NOTE: Early development phase but worth a look.].
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## Contents
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-[Claude Codex Settings](https://github.com/fcakyon/claude-codex-settings) by [fatih akyon](https://github.com/fcakyon) - A well-organized, well-written set of plugins covering core developer activities, such as working with common cloud platforms like GitHub, Azure, MongoDB, and popular services such as Tavily, Playwright, and more. Clear, not overly-opinionated, and compatible with a few other providers.
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-[Claude Mountaineering Skills](https://github.com/dreamiurg/claude-mountaineering-skills) by [Dmytro Gaivoronsky](https://github.com/dreamiurg) - Claude Code skill that automates mountain route research for North American peaks. Aggregates data from 10+ mountaineering sources like Mountaineers.org, PeakBagger.com and SummitPost.com to generate detailed route beta reports with weather, avalanche conditions, and trip reports.
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-[Claude Scientific Skills](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) - "A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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-[Codebase to Course](https://github.com/zarazhangrui/codebase-to-course) by [Zara Zhang](https://github.com/zarazhangrui) - A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course for non-technical vibe coders.
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-[Codex Skill](https://github.com/skills-directory/skill-codex) by [klaudworks](https://github.com/klaudworks) - Enables users to prompt codex from claude code. Unlike the raw codex mcp server, this skill infers parameters such as model, reasoning effort, sandboxing from your prompt or asks you to specify them. It also simplifies continuing prior codex sessions so that codex can continue with the prior context.
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-[Compound Engineering Plugin](https://github.com/EveryInc/compound-engineering-plugin) by [EveryInc](https://github.com/EveryInc) - A very pragmatic set of well-designed agents, skills, and commands, built around a discipline of turning past mistakes and errors into lessons and opportunities for future growth and improvement. Good documentation.
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-[Context Engineering Kit](https://github.com/NeoLabHQ/context-engineering-kit) by [Vlad Goncharov](https://github.com/LeoVS09) - Hand-crafted collection of advanced context engineering techniques and patterns with minimal token footprint focused on improving agent result quality.
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## Latest Additions ✨ [🔝](#awesome-claude-code)
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[`Ruflo`](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) ⚖️ MIT
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An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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[`Codebase to Course`](https://github.com/zarazhangrui/codebase-to-course) by [Zara Zhang](https://github.com/zarazhangrui) ⚖️ No License / Not Specified
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A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course for non-technical vibe coders.
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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[`Claude Scientific Skills`](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) ⚖️ MIT
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"A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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[`Ruflo`](https://github.com/ruvnet/ruflo) by [rUv](https://github.com/ruvnet) ⚖️ MIT
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An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered.
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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[`parry`](https://github.com/vaporif/parry) by [Dmytro Onypko](https://github.com/vaporif) ⚖️ MIT
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Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. [NOTE: Early development phase but worth a look.]
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[`Claude Scientific Skills`](https://github.com/K-Dense-AI/claude-scientific-skills) by [K-Dense](https://github.com/K-Dense-AI/) ⚖️ MIT
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"A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome.
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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</details>
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<br>
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[`Codebase to Course`](https://github.com/zarazhangrui/codebase-to-course) by [Zara Zhang](https://github.com/zarazhangrui) ⚖️ No License / Not Specified
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A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course for non-technical vibe coders.
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<details>
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<summary>📊 GitHub Stats</summary>
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</details>
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<br>
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[`Codex Skill`](https://github.com/skills-directory/skill-codex) by [klaudworks](https://github.com/klaudworks) ⚖️ MIT
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Enables users to prompt codex from claude code. Unlike the raw codex mcp server, this skill infers parameters such as model, reasoning effort, sandboxing from your prompt or asks you to specify them. It also simplifies continuing prior codex sessions so that codex can continue with the prior context.
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</picture>
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</div>
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<ahref="https://github.com/zarazhangrui/codebase-to-course"><imgsrc="../assets/badge-codebase-to-course.svg"alt="Codebase to Course"></a>
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_A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course for non-technical vibe coders._
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_An orchestration platform for deploying and coordinating multi-agent swarms. If I tried to go into detail it would probably crash my browser. An impressive feat of engineering that tries to cover everything and actually does a good job. Self-learning, autonomous multi-agent swarms, vector-based multi-layered memory, systematic planning, security guardrails, and so on. It's a growing project, and YMMV, but even just studying the patterns is immensely valuable, and it's clearly well-engineered._
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_"A set of ready-to-use Agent Skills for research, science, engineering, analysis, finance and writing." That's their description - modest, simple. That's how you can tell this is really one of the best skills repos on GitHub. If you've ever thought about getting a PhD... just read all of these documents instead. Also I think it IS an AI agent or something? Awesome._
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_Prompt injection scanner for Claude Code hooks. Scans tool inputs and outputs for injection attacks, secrets, and data exfiltration attempts. [NOTE: Early development phase but worth a look.]_
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<ahref="https://github.com/zarazhangrui/codebase-to-course"><imgsrc="../assets/badge-codebase-to-course.svg"alt="Codebase to Course"></a>
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_A Claude Code skill that turns any codebase into a beautiful, interactive single-page HTML course for non-technical vibe coders._
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_Enables users to prompt codex from claude code. Unlike the raw codex mcp server, this skill infers parameters such as model, reasoning effort, sandboxing from your prompt or asks you to specify them. It also simplifies continuing prior codex sessions so that codex can continue with the prior context._
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