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Skills IA documentation architecture patterns

Découvrez les skills documentation architecture patterns, comparez leurs dépôts et consultez leurs instructions.

Catégories: documentation architecture patterns

1,825–1,848 sur 6,626

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GitHub

implementation-planner

l-lin

Break down technical implementation tasks into actionable steps with codebase analysis. Use when the user says "breakdown the task", "plan the implementation" or when you need to decompose complex features, ref...

GitHub

deep-plan

piercelamb

Creates detailed, sectionized, TDD-oriented implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.

GitHub

debug

johnlindquist

Unified debugging workflow enforcing root cause protocol. Investigate → Understand → Reason → Fix. Use when debugging bugs, errors, or unexpected behavior.

GitHub

pipeline

johnlindquist

Chain multiple operations together in pipelines. Use for multi-step workflows, combining research with analysis, and complex automated tasks.

GitHub

agent-mail

johnlindquist

Inter-agent communication for multi-agent workflows. Use when multiple agents need to coordinate, share information, or reserve resources.

GitHub

council-of-five

johnlindquist

Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles. Use when exploring UX decisions, architecture choices, or any decision that benefits from diverse persp...

GitHub

cass-memory

johnlindquist

Contextual learning system that remembers patterns and rules from past sessions. Use to get relevant context before tasks, record outcomes, and build a personal playbook of coding patterns.

GitHub

design

johnlindquist

Design system and token management. Use for managing design tokens, colors, typography, and maintaining design consistency.

GitHub

methodology-bootstrapping

yaleh

Apply Bootstrapped AI Methodology Engineering (BAIME) to develop project-specific methodologies through systematic Observe-Codify-Automate cycles with dual-layer value functions (instance quality + methodology...

GitHub

error-recovery

yaleh

Comprehensive error handling methodology with 13-category taxonomy, diagnostic workflows, recovery patterns, and prevention guidelines. Use when error rate >5%, MTTD/MTTR too high, errors recurring, need system...

GitHub

api-design

yaleh

Systematic API design methodology with 6 validated patterns covering parameter categorization, safe refactoring, audit-first approach, automated validation, quality gates, and example-driven documentation. Use...

GitHub

diagram

johnlindquist

Maintain and synchronize Unified Impact Diagrams following Diagram Driven Development (DDD) methodology. Create, update, and manage diagrams that connect user value to technical implementation.

GitHub

ralph-amp

hmemcpy

Interactive planning skill for Amp. Generates specs, implementation plans, and loop infrastructure through clarifying questions.

GitHub

elegant-code

OleksandrKucherenko

Language-agnostic rulebook for producing, reviewing, and improving elegant code. Use when writing new code, refactoring existing code, reviewing code quality, or when user asks for "elegant", "clean", "maintain...

GitHub

sacp-v2-migration

agentclientprotocol

Migrate Rust code from sacp v1.x to v2.0 role-based API. Use when upgrading sacp dependencies, fixing Builder errors, or when code references MessageAndCx or old connection patterns.

GitHub

golang-lo

DCjanus

Go >= 1.18 项目中希望用 samber/lo(Lodash 风格泛型库)简化集合/映射/字符串、错误处理、重试/节流/防抖、通道并发或指针空值场景时使用。

GitHub

data-and-state-management

antoncoding

Core patterns for data fetching, state management, and user preferences. Use when implementing new features that require getting data from Our APIs, Morpho API, on-chain states or managing shared state.

GitHub

feature-structure

antoncoding

Architecture patterns for organizing feature modules in the codebase. Use when creating new files, brand new features or pages.

GitHub

concept-forge

leegonzales

Transform nebulous ideas into sharp, testable frameworks through multi-perspective dialectical interrogation. Use when developing vague intuitions, pressure-testing concepts, structuring half-formed frameworks,...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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