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documentation architecture patterns AI Skills

Discover documentation architecture patterns skills, compare source repositories and read the instructions for each workflow.

Categories: documentation architecture patterns

Showing 1,129–1,152 of 6,626

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GitHub

rust-systems

pproenca

Rust systems programming patterns and style guide for building reliable systems software. This skill should be used when writing Rust code, especially for systems programming, CLI tools, or performance-critical...

GitHub

feature-arch

pproenca

React feature-based architecture guidelines for scalable applications (formerly feature-architecture). This skill should be used when writing, reviewing, or refactoring React code to ensure proper feature organ...

GitHub

sre-task-refinement

withzombies

Use when you have to refine subtasks into actionable plans ensuring that all corner cases are handled and we understand all the requirements.

GitHub

fixing-bugs

withzombies

Use when encountering a bug - complete workflow from discovery through debugging, bd issue, test-driven fix, verification, and closure

GitHub

brainstorming

withzombies

Use when creating or developing anything, before writing code - refines rough ideas into bd epics with immutable requirements

GitHub

architecture-pattern-selector

alirezarezvani

Recommend architecture patterns (monolith, microservices, serverless, modular monolith) based on scale, team size, and constraints. Use when cto-architect needs to select the right architectural approach for a...

GitHub

scalability-advisor

alirezarezvani

Guidance for scaling systems from startup to enterprise scale. Use when planning for growth, diagnosing bottlenecks, or designing systems that need to handle 10x-1000x current load.

GitHub

tech-stack-recommender

alirezarezvani

Recommend technology stacks based on project requirements, team expertise, and constraints. Use when selecting frameworks, languages, databases, and infrastructure for new projects.

GitHub

antipattern-detector

alirezarezvani

Detect common technical and organizational anti-patterns in proposals, architectures, and plans. Use when strategic-cto-mentor needs to identify red flags before they become problems.

GitHub

writing-plans

bobmatnyc

Create detailed implementation plans with bite-sized tasks for engineers with zero codebase context

GitHub

issue-resolution

draphonix

Systematically diagnose and fix bugs through triage, reproduction, root cause analysis, and verified fixes. Use when resolving bugs, errors, failing tests, or investigating unexpected behavior.

GitHub

planning

draphonix

Generate comprehensive plans for new features by exploring the codebase, synthesizing approaches, validating with spikes, and decomposing into beads. Use when asked to plan a feature, create a roadmap, or desig...

GitHub

dojo-system

dojoengine

Create Dojo systems that implement game logic, modify model state, and handle player actions. Use when implementing game mechanics, player commands, or automated logic.

GitHub

dojo-review

dojoengine

Review Dojo code for best practices, common mistakes, security issues, and optimization opportunities. Use when auditing models, systems, tests, or preparing for deployment.

GitHub

ui-finesse-workflow

jshmllr

Master workflow for building exceptional UIs. Use when starting UI work, building components, or when the user asks about the development process for interfaces.

GitHub

shelby-storage-integration

raintree-technology

Expert on integrating Shelby Protocol decentralized storage into applications. Helps with use case evaluation, architecture design, migration strategies, cost optimization, performance tuning for video streamin...

GitHub

aptos-object-model

raintree-technology

Expert on Aptos Object Model - ObjectCore, Object wrapper, constructor references, ExtendRef/DeleteRef/TransferRef capabilities, object ownership, named vs generated objects, composability, and migration from r...

GitHub

story-consistency-monitor

wordflowlab

在章节写作过程中自动检查角色行为、世界规则和时间线一致性 - 在潜在矛盾成为重大问题前发出警报

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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