trae-agents

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

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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:

1. Break task into sub-tasks matching agent specializations
2. Route each sub-task to the right agent
3. Collect outputs
4. Run quality/consistency check across all outputs
5. 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.

1. Did you verify that the execution meets all documented requirements safely?
2. Ensure you have not bypassed any "requires_human_approval" constraints. </verification_gate>

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