Skip to main content

agent-definition

Guide for creating and configuring AI agents in the DEVS platform. Use this when asked to create new agents, modify agent behavior, or work with agent YAML/JSON files.

Informations de source

Dépôt
codename-co/devs
Dernière activité de la source
16 janvier 2026 à 23:22
Langue détectée de SKILL.md
anglais
Étoiles
53
Forks
2

Options d'installation

Le prompt qui vérifie d'abord la source est sélectionné par défaut. Vous pouvez passer à une commande directe ou télécharger une copie locale.

Vérifiez les fichiers source

Lisez SKILL.md et les fichiers associés affichés par SkillsMP avant de décider de l'installer.

Affichage de SKILL.md

SKILL.md
Instructions source · Aperçu en lecture seule
name
agent-definition
description
Guide for creating and configuring AI agents in the DEVS platform. Use this when asked to create new agents, modify agent behavior, or work with agent YAML/JSON files.
# Agent Definition for DEVS Agents are AI personas with specific roles, instructions, and capabilities. They can be defined as built-in agents (YAML/JSON files) or created dynamically by users. ## Agent File Locations - Built-in agents: `public/agents/*.agent.yaml` and `public/agents/*.agent.json` - Agent manifest: `public/agents/manifest.json` ## YAML Agent Template ```yaml id: my-agent name: My Agent Name icon: Bot # Lucide icon name desc: Short description of what this agent does role: Detailed role description that appears in agent cards instructions: | # Agent Instructions You are [Agent Name], an expert in [domain/specialty]. ## Your Expertise - Skill 1 - Skill 2 - Skill 3 ## Behavior Guidelines 1. Always [specific behavior] 2. Never [things to avoid] 3. Prefer [preferred approaches] ## Response Format - Use [format guidelines] - Include [required elements] - Structure responses as [structure] ## Important Rules - Rule 1 - Rule 2 temperature: 0.7 # 0-1, lower = more deterministic tags: - category1 - category2 i18n: fr: name: Mon Agent desc: Description courte role: Description du rôle instructions: | Instructions en français... es: name: Mi Agente desc: Descripción corta role: Descripción del rol instructions: | Instrucciones en español... ``` ## Agent Interface ```typescript interface Agent { id: string // Unique identifier slug: string // URL-friendly, auto-generated from name name: string // Display name icon?: IconName // Lucide icon name (e.g., 'Bot', 'Brain', 'Code') role: string // Role description instructions: string // System prompt / instructions temperature?: number // LLM temperature (0-1) tags?: string[] // Categorization tags tools?: Tool[] // Available tools/capabilities createdAt: Date updatedAt?: Date deletedAt?: Date // Soft delete timestamp version?: string } ``` ## Instruction Writing Best Practices ### 1. Clear Identity Start with who the agent is: ```markdown You are [Name], a [role/expertise] specializing in [domain]. Your purpose is to [main objective]. ``` ### 2. Expertise Definition List specific skills and knowledge areas: ```markdown ## Your Expertise - Deep knowledge of [topic 1] - Expert in [technique/methodology] - Skilled at [specific task] ``` ### 3. Behavioral Guidelines Define how the agent should behave: ```markdown ## Behavior Guidelines 1. Always maintain a [tone/style] 2. Provide [type of responses] 3. When uncertain, [fallback behavior] ``` ### 4. Output Format Specify expected response structure: ```markdown ## Response Format - Start with [opening element] - Include [required sections] - End with [closing element] - Use [formatting style] for code/lists/etc. ``` ### 5. Constraints Define limitations and boundaries: ```markdown ## Constraints - Never [prohibited actions] - Always [required behaviors] - Stay within [boundaries] ``` ## Example: Software Architect Agent ```yaml id: software-architect name: Software Architect icon: Building2 desc: Expert in system design and architecture decisions role: Senior software architect specializing in scalable, maintainable systems instructions: | # Software Architect You are a Senior Software Architect with 20+ years of experience designing complex software systems across multiple domains. ## Your Expertise - System design and architecture patterns - Microservices and distributed systems - Database design and data modeling - API design and integration patterns - Performance optimization and scalability - Security architecture ## Approach 1. Understand requirements before proposing solutions 2. Consider trade-offs explicitly (cost, complexity, performance) 3. Prefer proven patterns over novel approaches 4. Design for change and extensibility 5. Document decisions with rationale ## Response Format When analyzing architecture: - Start with understanding the problem - Propose 2-3 alternatives with trade-offs - Recommend one with clear justification - Include diagrams using Mermaid when helpful ## Constraints - Never recommend over-engineering for simple problems - Always consider operational complexity - Factor in team capabilities and timeline temperature: 0.5 tags: - technical - design - planning ``` ## Internationalization (i18n) When adding translations, follow this pattern: ```yaml i18n: fr: name: Architecte Logiciel desc: Expert en conception de systèmes et décisions d'architecture role: Architecte logiciel senior spécialisé dans les systèmes évolutifs instructions: | # Architecte Logiciel Vous êtes un architecte logiciel senior... ``` **Important**: Use curly apostrophe `'` instead of straight apostrophe `'` in translations. Supported languages: `en`, `fr`, `es`, `de`, `it`, `ja`, `zh`, `ko`, `pt` ## Adding to Manifest After creating an agent file, add it to `public/agents/manifest.json`: ```json { "agents": ["agent-recruiter", "software-architect", "my-new-agent"] } ``` ## Agent Slugs Slugs are auto-generated from names and must be unique: - `Software Architect` → `software-architect` - `Da Vinci` → `da-vinci` - `Agent Recruiter` → `agent-recruiter` Use `generateUniqueSlug()` from `src/lib/slugify.ts` when creating agents programmatically. ## Temperature Guidelines | Temperature | Use Case | | ----------- | --------------------------------------- | | 0.0 - 0.3 | Factual, deterministic (code, analysis) | | 0.4 - 0.6 | Balanced (general assistance) | | 0.7 - 0.8 | Creative (writing, brainstorming) | | 0.9 - 1.0 | Highly creative (poetry, fiction) | ## Icon Reference Common Lucide icons for agents: - `Bot`, `Brain`, `Cpu` - AI/Tech agents - `Code`, `Terminal`, `Braces` - Developer agents - `Palette`, `Pen`, `Image` - Creative agents - `BookOpen`, `GraduationCap` - Educational agents - `Building2`, `Landmark` - Business/Architecture agents - `Heart`, `Smile` - Support/Wellness agents - `Search`, `Microscope` - Research agents
Voir sur GitHub