Update nexus: fix conflicts and sync local changes

wiki/concepts/Agent-Design-Principles.md

@@ -1,50 +1,50 @@
----
-title: "Agent Design Principles"
-type: concept
-tags: [multi-agent, agent-design, the-agency]
-sources: [contributing_zh-cn, contributing-to-the-agency]
-last_updated: 2026-04-24
----
-
-# Agent Design Principles
-
-The five core design principles for building high-quality AI agents in The Agency framework.
-
-## Five Principles
-
-### 1. 🎭 Distinct Personality
-- Give each agent a unique tone and persona
-- Avoid generic "I am a helpful assistant" — be specific and memorable
-- Example: "I will find 3-5 problems by default and ask for visual evidence" (Evidence Collector)
-
-### 2. 📋 Clear Deliverables
-- Provide actionable code examples
-- Include templates and frameworks
-- Show real output, not vague descriptions
-
-### 3. ✅ Success Metrics
-- Include specific, quantifiable metrics
-- Example: "Page load time under 3 seconds on 3G network"
-- Example: "10,000+ combined karma points across accounts"
-
-### 4. 🔄 Verified Workflows
-- Step-by-step processes that are clear
-- Validated in real-world scenarios
-- Reject pure theory without testing
-
-### 5. 💡 Learning & Memory
-- Agents identify which patterns to recognize
-- How they iterate and optimize over time
-- What they remember between sessions
-
-## Anti-Patterns (Avoid)
-- ❌ Generic "helpful assistant" persona
-- ❌ Vague "I will help you..." descriptions
-- ❌ No code examples or deliverables
-- ❌ Too broad scope (jack of all trades)
-- ❌ Untested theoretical solutions
-
-## Connections
-- Extends [[Multi-Agent-System-Reliability]] — design-time quality standards complement runtime reliability patterns
-- Used by [[Multi-Agent-Team]] — standardized agent creation framework
-- Related to [[Agent-Template]] — the structural template implementing these principles
+---
+title: "Agent Design Principles"
+type: concept
+tags: [multi-agent, agent-design, the-agency]
+sources: [contributing_zh-cn, contributing-to-the-agency]
+last_updated: 2026-04-24
+---
+
+# Agent Design Principles
+
+The five core design principles for building high-quality AI agents in The Agency framework.
+
+## Five Principles
+
+### 1. 🎭 Distinct Personality
+- Give each agent a unique tone and persona
+- Avoid generic "I am a helpful assistant" — be specific and memorable
+- Example: "I will find 3-5 problems by default and ask for visual evidence" (Evidence Collector)
+
+### 2. 📋 Clear Deliverables
+- Provide actionable code examples
+- Include templates and frameworks
+- Show real output, not vague descriptions
+
+### 3. ✅ Success Metrics
+- Include specific, quantifiable metrics
+- Example: "Page load time under 3 seconds on 3G network"
+- Example: "10,000+ combined karma points across accounts"
+
+### 4. 🔄 Verified Workflows
+- Step-by-step processes that are clear
+- Validated in real-world scenarios
+- Reject pure theory without testing
+
+### 5. 💡 Learning & Memory
+- Agents identify which patterns to recognize
+- How they iterate and optimize over time
+- What they remember between sessions
+
+## Anti-Patterns (Avoid)
+- ❌ Generic "helpful assistant" persona
+- ❌ Vague "I will help you..." descriptions
+- ❌ No code examples or deliverables
+- ❌ Too broad scope (jack of all trades)
+- ❌ Untested theoretical solutions
+
+## Connections
+- Extends [[Multi-Agent-System-Reliability]] — design-time quality standards complement runtime reliability patterns
+- Used by [[Multi-Agent-Team]] — standardized agent creation framework
+- Related to [[Agent-Template]] — the structural template implementing these principles