lattice Plugin
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.
So installierst du das lattice Plugin
Führe beide Befehle in Claude Code aus. Der erste fügt den Marketplace einmalig hinzu; der zweite installiert das Plugin.
/plugin marketplace add techygarg/lattice
/plugin install lattice@latticeWas ist in lattice enthalten
28 Teile wurden aus den eigenen Dateien des Plugins gelesen.
Agents 1
Aufrufen als @agent-lattice:name- @agent-lattice:verifier
Keine Beschreibung in der Datei gefunden.
Skills 27
Claude lädt es, wenn die Aufgabe passt- 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.
Verwendung von lattice in Claude Code
Frage nach einem Agent per Name:
@agent-lattice:verifierSkills benötigen keinen Command. Claude liest sie, wenn deine Anfrage dem entspricht, was sie beschreiben.
Aktualisieren, deaktivieren oder entfernen
- Plugin aktualisieren (shell)
- claude plugin update lattice@lattice
- marketplace aktualisieren
- /plugin marketplace update lattice
- Vorerst deaktivieren
- /plugin disable lattice@lattice
- Entfernen
- /plugin uninstall lattice@lattice
Skills in lattice
- architecturetechygarg/lattice
Enforces architectural rules and validates design patterns during code generation and structural reviews.
4 Dateien211Stars - architecture-compasstechygarg/lattice
Scans codebases to conduct architectural audits, identify drift or mismatches, and produce structured insights and recommended directions.
2 Dateien211Stars - architecture-refinertechygarg/lattice
Facilitates a structured conversation to define and document repository architecture principles and styles.
3 Dateien211Stars - clean-codetechygarg/lattice
Enforces coding standards such as single responsibility, naming clarity, and complexity management when generating or modifying implementation code.
2 Dateien211Stars - clean-code-refinertechygarg/lattice
Facilitates a structured interview to define and document repository-specific clean code principles and coding standards.
2 Dateien211Stars - context-anchoringtechygarg/lattice
Manages per-feature living documents to capture technical decisions, constraints, and reasoning across AI development sessions.
2 Dateien211Stars - ddd-refinertechygarg/lattice
Facilitates a structured conversation to define Domain-Driven Design guardrails and generates a formal principles document for repository standards.
2 Dateien211Stars - design-firsttechygarg/lattice
Guides structured design thinking through five progressive levels from capabilities to implementation to ensure architectural alignment before coding.
2 Dateien211Stars - domain-driven-designtechygarg/lattice
Apply tactical DDD patterns to design and validate domain models, aggregates, entities, and value objects while preventing common anti-patterns.
2 Dateien211Stars - knowledge-priming-refinertechygarg/lattice
Facilitates a structured conversation to create a project-specific knowledge base document that primes AI with technical context and architecture.
2 Dateien211Stars - language-idioms-refinertechygarg/lattice
Facilitates a structured interview to define language-specific idioms and patterns, producing a markdown document for project-wide standardization.
2 Dateien211Stars - lattice-inittechygarg/lattice
Scans repositories to detect project stacks, identifies outdated configurations, and guides the setup or upgrade of Lattice project standards.
2 Dateien211Stars - requirement-forgetechygarg/lattice
Generates structured feature specifications through a collaborative product interview acting as a senior PM and business analyst.
2 Dateien211Stars - requirement-forge-refinertechygarg/lattice
Facilitates a structured interview to define project requirement standards and generates a markdown configuration file for automated enforcement.
2 Dateien211Stars - requirement-qualitytechygarg/lattice
Validates and generates feature specifications by enforcing completeness, scenario structure, and acceptance criteria verifiability.
2 Dateien211Stars - review-refinertechygarg/lattice
Facilitates a structured conversation to configure review process standards, including atom loading, severity levels, and report formats.
2 Dateien211Stars - secure-codingtechygarg/lattice
Enforces security-conscious coding practices including input validation, injection prevention, and secrets management during code generation.
2 Dateien211Stars - 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.
2 Dateien211Stars - bug-fixtechygarg/lattice
Investigates, reproduces, and repairs software bugs using a structured workflow that prioritizes regression testing and architectural integrity.
211Stars - code-forgetechygarg/lattice
Generates implementation code from design blueprints or verbal requirements using an inside-out workflow focused on architecture and clean code.
211Stars - collaborative-judgmenttechygarg/lattice
Provides a protocol for agents to identify, surface, and resolve ambiguous decisions or conflicting information during technical tasks.
211Stars - design-blueprinttechygarg/lattice
Executes a structured five-level design workflow from initial context establishment to an approved architectural blueprint.
211Stars - knowledge-primingtechygarg/lattice
Loads project-specific context including tech stack, architecture, and directory layout to provide ambient awareness for all agent skills.
211Stars - learning-harvesttechygarg/lattice
Manages the operational learnings lifecycle by loading prior insights, harvesting new patterns from sessions, and maintaining document density.
211Stars - refactor-safelytechygarg/lattice
Restructures existing code safely using a characterization-first workflow to improve architecture and quality without changing observable behavior.
211Stars - refiners-updatetechygarg/lattice
Updates existing Lattice standards documents by coordinating refiner skills to revise content and recording git-native change notes.
211Stars - reviewtechygarg/lattice
Performs structured code reviews by conditionally loading specialized validation frameworks based on the scope of code changes.
211Stars
Fragen zum lattice Plugin
Wie installiere ich das lattice Plugin?
Führe in Claude Code /plugin marketplace add techygarg/lattice aus, dann /plugin install lattice@lattice.
Was enthält das lattice Plugin?
lattice bündelt 1 Agent, 27 Skills.
Welche Agents sind bei lattice dabei?
verifier. Rufe einen mit @agent-lattice:verifier auf.
Wie aktualisiere oder entferne ich das lattice Plugin?
Aktualisiere es mit claude plugin update lattice@lattice in deiner shell oder über den Installed-Tab von /plugin. Entferne es mit /plugin uninstall lattice@lattice.