GitHub
performance-optimization
Optimize API performance, database queries, caching, and profiling. Use when improving system performance to meet
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devops architecture patterns AI Skills
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GitHub
workflow-orchestration
Design and implement DAG-based workflows with parallel execution, retries, and error handling. Use when building complex multi-step agent workflows.
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GitHub
framework-architecture
Design and evolve the architecture of the Paracle multi-agent framework. Use when discussing system design, architecture decisions, component structure, or technical debt.
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GitHub
unstuck
Structured problem-solving workflow for debugging. Use after 3 failed attempts at solving an issue, when stuck on a problem, or when encountering repeated errors.
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GitHub
context-manager
Maintain, retrieve, and normalize shared project context (decisions, constraints, standards, task state) for multi-skill workflows. Use when Codex must be the source of truth for project context, summarize cons...
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GitHub
single-file-topdown-ordering
Use when a single file is difficult to understand top-down because the public surface is buried or definitions appear before the behavior they support. Goal: restore a clear reading flow without changing semant...
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GitHub
structure-boundaries
Use when navigation is costly or module boundaries feel blurry due to messy directories, inconsistent naming, or cross-boundary imports. Goal: make architecture and dependency direction readable from the tree a...
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GitHub
architecture-patterns
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex backend systems or refactoring existing applications...
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GitHub
api-design-principles
Master REST API design principles to build intuitive, scalable, and maintainable APIs. Applicable for designing new APIs, reviewing API specifications, or establishing API design standards in Java Spring projec...
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GitHub
legacy-requirements-extractor
Systematically reverse-engineers business requirements from legacy codebases using the Horseshoe Model to bridge the gap between implementation details and architectural intent.
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GitHub
microservices-patterns
Design microservices architectures with service boundaries, event-driven communication, and resilience patterns. Use when building distributed systems, decomposing monoliths, or implementing microservices.
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GitHub
tdd
Test-Driven Development workflow with RED-GREEN-REFACTOR, lore from Kent Beck, Michael Feathers, and Ousterhout's counterpoint
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GitHub
hexagonal-architecture
Design, implement, and maintain applications using hexagonal architecture (ports and adapters). Use when (1) designing new systems requiring clear separation between domain logic and infrastructure, (2) refacto...
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GitHub
writing-plans
Create detailed implementation strategies and architecture documentation
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GitHub
refactoring
Code refactoring patterns, techniques, and best practices for improving code structure without changing behavior
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GitHub
integration-testing
Integration testing patterns, strategies for testing component interactions, and managing test dependencies
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GitHub
deep-research
Turn ambiguous questions into documented, executable plans with traceable artifacts
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GitHub
docs-routing
Ensure every meaningful output lands in the right place and stays findable
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GitHub
writing-plans
Create detailed implementation strategies and architecture documentation
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GitHub
migrations
Database migration workflows, schema evolution strategies, and safe deployment practices
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GitHub
graphql-api
GraphQL integration patterns, query construction, and best practices for efficient GraphQL clients
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GitHub
convex-utility
Skill for standardizing and accelerating Convex backend development with boilerplate generation and pattern enforcement.
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GitHub
clojure-core-async
Async programming with channels, go blocks, and CSP in Clojure. Use when working with async operations, channel communication, pub/sub patterns, concurrent pipelines, or CSP-style coordination.
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GitHub
clojure-core-async-flow
core.async.flow provides a declarative framework for building process flows with strict separation of application logic from topology, execution, and lifecycle management. Use when building multi-process system...
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