lattice 플러그인
Composable AI skills covering the full software delivery lifecycle — for backend engineers, frontend engineers, QA, BAs, and more. Install once, invoke the skills you need.
lattice 플러그인 설치 방법
두 명령을 모두 Claude Code 안에서 실행하십시오. 첫 번째는 마켓플레이스를 한 번 추가하고, 두 번째는 플러그인을 설치합니다.
/plugin marketplace add techygarg/lattice
/plugin install lattice@latticelattice 구성 요소
플러그인 파일에서 읽어온 28개의 항목입니다.
Agents 1
@agent-lattice:name 으로 호출- @agent-lattice:verifier
파일에 설명이 없습니다.
Skills 27
작업이 일치하면 Claude가 로드합니다- architecture
Enforces architectural rules and validates design patterns during code generation and structural reviews.
- architecture-compass
Scans codebases to conduct architectural audits, identify drift or mismatches, and produce structured insights and recommended directions.
- architecture-refiner
Facilitates a structured conversation to define and document repository architecture principles and styles.
- bug-fix
Investigates, reproduces, and repairs software bugs using a structured workflow that prioritizes regression testing and architectural integrity.
- clean-code
Enforces coding standards such as single responsibility, naming clarity, and complexity management when generating or modifying implementation code.
- clean-code-refiner
Facilitates a structured interview to define and document repository-specific clean code principles and coding standards.
- code-forge
Generates implementation code from design blueprints or verbal requirements using an inside-out workflow focused on architecture and clean code.
- collaborative-judgment
Provides a protocol for agents to identify, surface, and resolve ambiguous decisions or conflicting information during technical tasks.
- context-anchoring
Manages per-feature living documents to capture technical decisions, constraints, and reasoning across AI development sessions.
- ddd-refiner
Facilitates a structured conversation to define Domain-Driven Design guardrails and generates a formal principles document for repository standards.
- design-blueprint
Executes a structured five-level design workflow from initial context establishment to an approved architectural blueprint.
- design-first
Guides structured design thinking through five progressive levels from capabilities to implementation to ensure architectural alignment before coding.
- domain-driven-design
Apply tactical DDD patterns to design and validate domain models, aggregates, entities, and value objects while preventing common anti-patterns.
- knowledge-priming
Loads project-specific context including tech stack, architecture, and directory layout to provide ambient awareness for all agent skills.
- knowledge-priming-refiner
Facilitates a structured conversation to create a project-specific knowledge base document that primes AI with technical context and architecture.
- language-idioms-refiner
Facilitates a structured interview to define language-specific idioms and patterns, producing a markdown document for project-wide standardization.
- lattice-init
Scans repositories to detect project stacks, identifies outdated configurations, and guides the setup or upgrade of Lattice project standards.
- learning-harvest
Manages the operational learnings lifecycle by loading prior insights, harvesting new patterns from sessions, and maintaining document density.
- refactor-safely
Restructures existing code safely using a characterization-first workflow to improve architecture and quality without changing observable behavior.
- refiners-update
Updates existing Lattice standards documents by coordinating refiner skills to revise content and recording git-native change notes.
- requirement-forge
Generates structured feature specifications through a collaborative product interview acting as a senior PM and business analyst.
- requirement-forge-refiner
Facilitates a structured interview to define project requirement standards and generates a markdown configuration file for automated enforcement.
- requirement-quality
Validates and generates feature specifications by enforcing completeness, scenario structure, and acceptance criteria verifiability.
- review
Performs structured code reviews by conditionally loading specialized validation frameworks based on the scope of code changes.
- review-refiner
Facilitates a structured conversation to configure review process standards, including atom loading, severity levels, and report formats.
- secure-coding
Enforces security-conscious coding practices including input validation, injection prevention, and secrets management during code generation.
- test-quality
Apply test quality principles when generating or reviewing test code. Enforces Arrange-Act-Assert structure, one behavior per test, assertion quality, test isolation, meaningful naming, and test data management. Use when writing tests, reviewing test code, or when the user mentions 'write tests', 'test this', 'test quality', 'test review', 'improve tests', or 'test structure'. Loaded automatically by the code-generating molecules (code-forge, refactor-safely, bug-fix). This skill governs the craft of writing individual test cases -- not what to test (that is driven by the code being implemented) but how to write tests that are reliable, readable, and maintainable.
Claude Code에서 lattice 사용하기
이름으로 agent를 요청하세요:
@agent-lattice:verifierSkills는 명령어가 필요하지 않습니다. 요청이 설명과 일치하면 Claude가 이를 읽습니다.
업데이트, 비활성화 또는 삭제
- 플러그인 업데이트 (shell)
- claude plugin update lattice@lattice
- marketplace 새로고침
- /plugin marketplace update lattice
- 일시적으로 비활성화
- /plugin disable lattice@lattice
- 삭제
- /plugin uninstall lattice@lattice
lattice의 스킬
- architecturetechygarg/lattice
Enforces architectural rules and validates design patterns during code generation and structural reviews.
4개 파일211스타 - architecture-compasstechygarg/lattice
Scans codebases to conduct architectural audits, identify drift or mismatches, and produce structured insights and recommended directions.
2개 파일211스타 - architecture-refinertechygarg/lattice
Facilitates a structured conversation to define and document repository architecture principles and styles.
3개 파일211스타 - clean-codetechygarg/lattice
Enforces coding standards such as single responsibility, naming clarity, and complexity management when generating or modifying implementation code.
2개 파일211스타 - clean-code-refinertechygarg/lattice
Facilitates a structured interview to define and document repository-specific clean code principles and coding standards.
2개 파일211스타 - context-anchoringtechygarg/lattice
Manages per-feature living documents to capture technical decisions, constraints, and reasoning across AI development sessions.
2개 파일211스타 - ddd-refinertechygarg/lattice
Facilitates a structured conversation to define Domain-Driven Design guardrails and generates a formal principles document for repository standards.
2개 파일211스타 - design-firsttechygarg/lattice
Guides structured design thinking through five progressive levels from capabilities to implementation to ensure architectural alignment before coding.
2개 파일211스타 - domain-driven-designtechygarg/lattice
Apply tactical DDD patterns to design and validate domain models, aggregates, entities, and value objects while preventing common anti-patterns.
2개 파일211스타 - knowledge-priming-refinertechygarg/lattice
Facilitates a structured conversation to create a project-specific knowledge base document that primes AI with technical context and architecture.
2개 파일211스타 - language-idioms-refinertechygarg/lattice
Facilitates a structured interview to define language-specific idioms and patterns, producing a markdown document for project-wide standardization.
2개 파일211스타 - lattice-inittechygarg/lattice
Scans repositories to detect project stacks, identifies outdated configurations, and guides the setup or upgrade of Lattice project standards.
2개 파일211스타 - requirement-forgetechygarg/lattice
Generates structured feature specifications through a collaborative product interview acting as a senior PM and business analyst.
2개 파일211스타 - requirement-forge-refinertechygarg/lattice
Facilitates a structured interview to define project requirement standards and generates a markdown configuration file for automated enforcement.
2개 파일211스타 - requirement-qualitytechygarg/lattice
Validates and generates feature specifications by enforcing completeness, scenario structure, and acceptance criteria verifiability.
2개 파일211스타 - review-refinertechygarg/lattice
Facilitates a structured conversation to configure review process standards, including atom loading, severity levels, and report formats.
2개 파일211스타 - secure-codingtechygarg/lattice
Enforces security-conscious coding practices including input validation, injection prevention, and secrets management during code generation.
2개 파일211스타 - test-qualitytechygarg/lattice
Apply test quality principles when generating or reviewing test code. Enforces Arrange-Act-Assert structure, one behavior per test, assertion quality, test isolation, meaningful naming, and test data management. Use when writing tests, reviewing test code, or when the user mentions 'write tests', 'test this', 'test quality', 'test review', 'improve tests', or 'test structure'. Loaded automatically by the code-generating molecules (code-forge, refactor-safely, bug-fix). This skill governs the craft of writing individual test cases -- not what to test (that is driven by the code being implemented) but how to write tests that are reliable, readable, and maintainable.
2개 파일211스타 - bug-fixtechygarg/lattice
Investigates, reproduces, and repairs software bugs using a structured workflow that prioritizes regression testing and architectural integrity.
211스타 - code-forgetechygarg/lattice
Generates implementation code from design blueprints or verbal requirements using an inside-out workflow focused on architecture and clean code.
211스타 - collaborative-judgmenttechygarg/lattice
Provides a protocol for agents to identify, surface, and resolve ambiguous decisions or conflicting information during technical tasks.
211스타 - design-blueprinttechygarg/lattice
Executes a structured five-level design workflow from initial context establishment to an approved architectural blueprint.
211스타 - knowledge-primingtechygarg/lattice
Loads project-specific context including tech stack, architecture, and directory layout to provide ambient awareness for all agent skills.
211스타 - learning-harvesttechygarg/lattice
Manages the operational learnings lifecycle by loading prior insights, harvesting new patterns from sessions, and maintaining document density.
211스타 - refactor-safelytechygarg/lattice
Restructures existing code safely using a characterization-first workflow to improve architecture and quality without changing observable behavior.
211스타 - refiners-updatetechygarg/lattice
Updates existing Lattice standards documents by coordinating refiner skills to revise content and recording git-native change notes.
211스타 - reviewtechygarg/lattice
Performs structured code reviews by conditionally loading specialized validation frameworks based on the scope of code changes.
211스타
lattice 플러그인 질문
lattice 플러그인은 어떻게 설치하나요?
Claude Code에서 /plugin marketplace add techygarg/lattice를 실행한 다음 /plugin install lattice@lattice을 실행하십시오.
lattice 플러그인에는 무엇이 포함되나요?
lattice은(는) 1개 에이전트, 27개 스킬을(를) 묶습니다.
lattice에는 어떤 agent가 포함되어 있나요?
verifier입니다. @agent-lattice:verifier로 호출하세요.
lattice 플러그인을 어떻게 업데이트하거나 삭제하나요?
shell에서 claude plugin update lattice@lattice를 사용하여 업데이트하거나 /plugin의 Installed 탭에서 수행하세요. 삭제하려면 /plugin uninstall lattice@lattice을 사용하세요.