| name | trae-agents |
| description | Collection of expert-level TRAE agent system prompts for code generation, debugging, optimization, security auditing, and workflow acceleration. Reference library — use prompts as templates for specialized agent behavior. |
| version | 1.0.0 |
[!IMPORTANT]
GFV-Adapted Skill — This skill runs within the GetFresh Ventures infrastructure. Follow these conventions.
GFV Infrastructure Integration
Credentials — Never use .env files. All secrets live in macOS Keychain:
security find-generic-password -s "<service>" -a "<account>" -w
Check ~/Documents/Code/gfv-brain/scripts/pil_config.py for service mappings.
Data Sources — Before querying external APIs, check PIL first:
search_pil / smart_search / vector_search MCP tools (491K+ embeddings, 81K entities)- Supabase tables:
entity_embeddings, ont_entities, ont_facts
- Local SQLite: WhatsApp (59K msgs), Slack (2.5K msgs),
gfv_memory.db
Output — Save results to ~/Documents/Code/gfv-brain/ or PIL via Supabase. Never send external messages (email, Slack, WhatsApp) without the Executive's explicit "send it" approval.
Active Clients:
- GetFresh Ventures — Venture studio: getfreshventures.com
TRAE Agents — Expert System Prompt Library
Overview
45 specialized agent system prompts from the TRAE IDE ecosystem. While TRAE-specific, the agent role definitions and task decomposition patterns are valuable reference material for building GFV-specific agents.
Agent Categories & GFV-Relevant Patterns
🤖 Core Intelligence (Orchestration Patterns)
| Agent | Pattern Stolen for GFV |
|---|
| General Coordinator | Multi-agent orchestration: ensure completeness, consistency, final quality checks |
| Code Optimizer | Deep analysis → performance tuning → safe auto-fix pipeline |
| Code Refactorer | Legacy code → clean architecture migration methodology |
| Dependency Manager | Version management, compatibility resolution, safe updates |
🖥️ Frontend & UI
| Agent | Pattern Stolen for GFV |
|---|
| Frontend Expert | Production-ready UI checklist: React, Tailwind, Next.js, Astro |
| Designer Architect | UI/UX system definition: interaction patterns, developer-ready specs |
| WordPress Builder | Theme/plugin/Gutenberg/perf patterns (useful for Acme Corp) |
| UX Flow Architect | User journey optimization: friction reduction, clarity, retention, conversion |
📊 Analytics & Strategy (Direct GFV Use)
| Agent | Pattern Stolen for GFV |
|---|
| Copywriter Pro | Persuasive copy patterns: landing pages, emails, campaigns |
| Competitor Scout | Competitor analysis methodology: strategies, market gaps |
| Content Strategist | Content plan architecture: blogs, social media, funnels |
| Growth Strategist | Project potential evaluation → growth strategy recommendations |
| Product Strategist | Idea → structured product strategy → prioritized roadmap |
| Launch Strategist | GTM plan design: launch messaging, rollout strategies |
🧪 Quality & Security
| Agent | Pattern Stolen for GFV |
|---|
| Security Sentinel | Security audit checklist: best practices, hardening steps |
| SEO Strategist | Technical SEO, content structure, ranking performance optimization |
| Accessibility Auditor | WCAG compliance audit methodology |
| Testing Architect | Unit, integration, E2E testing strategy definition |
| Quantum Debugger | Predictive error analysis across threads (novel pattern) |
🚀 MVP & Launch
| Agent | Pattern Stolen for GFV |
|---|
| Showcase Booster | Project presentation: optimized titles, descriptions, highlights |
| Demo Enhancer | First-time UX improvement for demos |
| MVP Polisher | High-impact refinements without overengineering |
| Feature Increment Planner | Next-feature prioritization: impact vs effort matrix |
Key Architectural Patterns Worth Adopting
1. Role-Based Agent Decomposition
Each TRAE agent has a clear role, backstory, and goal. This pattern maps directly to how we should define GFV skill frontmatter:
role: "What the agent IS"
goal: "What it achieves in one sentence"
backstory: "Why it's qualified — gives the LLM context for expertise depth"
2. Multi-Agent Coordination Protocol
The General Coordinator pattern shows how multiple agents should work together:
- Break task into sub-tasks matching agent specializations
- Route each sub-task to the right agent
- Collect outputs
- Run quality/consistency check across all outputs
- Present unified result
3. Predictive Debugging ("Quantum Debugger")
Novel pattern: Before fixing a bug, analyze the codebase for OTHER locations where the same pattern exists. Fix them all simultaneously instead of whack-a-mole.
4. MVP Polisher Anti-Overengineering Gate
When improving an MVP, the polisher explicitly avoids:
- Adding features not in the original scope
- Premature optimization
- Complex abstractions for simple patterns
Focus only on: visual polish, error handling, loading states, edge cases.
When to Reference This Skill
- Building new GFV agents or skills
- Defining agent roles and responsibilities
- Designing multi-agent coordination workflows
- Creating quality gates and audit checklists
- Structuring launch/GTM agent prompts
<verification_gate>
Delivery Gate
STOP AND VERIFY BEFORE DECLARING THIS TASK COMPLETE.
- Did you verify that the execution meets all documented requirements safely?
- Ensure you have not bypassed any "requires_human_approval" constraints.
</verification_gate>
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