codename
Official@codename-co
Where conversational and automation fuse
Agent Skills by codename
Showing 13 vetted skills indexed across 1 GitHub repositories.
tool-generation
Create, implement, and register new tools for AI agents in the DEVS platform.
llm-service-integration
Integrate OpenAI, Anthropic, Gemini, Mistral, and Ollama via an abstracted service layer.
indexeddb-operations
Perform IndexedDB operations with Dexie.js, including CRUD, transactions, and migrations.
orchestration-workflow
Coordinate multi-agent workflows with task decomposition and ContextBroker context sharing.
connector-generation
Guide creation of external service connectors for the DEVS platform.
i18n-translation
Guide adding Portuguese translations to DEVS platform UI, agent, and methodology files.
zustand-store-development
Creates Zustand stores with IndexedDB persistence and TDD enforcement.
react-component-development
Create React components with HeroUI following DEVS platform conventions.
e2e-testing
Implement Playwright end-to-end tests for the DEVS platform.
knowledge-base-management
Manage knowledge base files with deduplication and File System API synchronization.
tdd-testing
Provides automated scaffolding for writing unit and integration tests in Python and JavaScript/TypeScript projects, including mocks, fixtures, and runners for pytest and Jest, plus CI/CD-ready reports and badges for test coverage, with optional integration to GitHub's code-quality and diff-annotation systems for automated workflows and alerts on PRs and commits.
agent-definition
Create and configure DEVS platform AI agents using YAML and JSON definitions.
feature-development
Guide modular feature development for the DEVS platform with defined architecture.
Frequently Asked Questions About codename
FAQPage SchemaWhat specific tasks are enabled by these development capabilities?▼
These capabilities enable the creation of modular React components, the configuration of YAML-based agent definitions, and the implementation of persistent browser storage via IndexedDB. Additionally, users can perform end-to-end validation using Playwright and manage complex state through Zustand stores within the DEVS platform architecture.
Which personas benefit most from these technical skills?▼
Frontend engineers, full-stack developers, and quality assurance specialists working within the DEVS platform ecosystem benefit most. These skills are designed for developers tasked with building, testing, and maintaining modular interfaces and persistent data layers for distributed agentic systems.
What are the primary prerequisites for implementing these development patterns?▼
Implementation requires familiarity with the DEVS platform architecture, React, and TypeScript. Developers must also have a working knowledge of IndexedDB for local storage, Playwright for testing, and the specific YAML/JSON schema requirements defined for agent and connector configuration.