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docs(zh-CN): sync Chinese docs with latest upstream changes (#341)
* docs(zh-CN): sync Chinese docs with latest upstream changes * docs(zh-CN): update link --------- Co-authored-by: neo <neo.dowithless@gmail.com>
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@@ -1,6 +1,6 @@
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---
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name: evolve
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description: 将相关本能聚类为技能、命令或代理
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description: 分析本能并建议或生成进化结构
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command: true
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---
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@@ -30,9 +30,7 @@ python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py evolve [
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```
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/evolve # Analyze all instincts and suggest evolutions
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/evolve --domain testing # Only evolve instincts in testing domain
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/evolve --dry-run # Show what would be created without creating
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/evolve --threshold 5 # Require 5+ related instincts to cluster
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/evolve --generate # Also generate files under evolved/{skills,commands,agents}
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```
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## 演化规则
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@@ -88,63 +86,50 @@ python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py evolve [
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## 操作步骤
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1. 从 `~/.claude/homunculus/instincts/` 读取所有本能
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2. 按以下方式对本能进行分组:
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* 领域相似性
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* 触发器模式重叠
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* 操作序列关联性
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3. 对于每个包含 3 个以上相关本能的集群:
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* 确定演化类型(命令/技能/代理)
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* 生成相应的文件
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* 保存到 `~/.claude/homunculus/evolved/{commands,skills,agents}/`
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4. 将演化后的结构链接回源本能
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1. 检测当前项目上下文
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2. 读取项目 + 全局本能(项目优先级高于 ID 冲突)
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3. 按触发器/领域模式分组本能
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4. 识别:
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* 技能候选(包含 2+ 个本能的触发器簇)
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* 命令候选(高置信度工作流本能)
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* 智能体候选(更大、高置信度的簇)
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5. 在适用时显示升级候选(项目 -> 全局)
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6. 如果传入了 `--generate`,则将文件写入:
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* 项目范围:`~/.claude/homunculus/projects/<project-id>/evolved/`
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* 全局回退:`~/.claude/homunculus/evolved/`
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## 输出格式
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```
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🧬 Evolve Analysis
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==================
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============================================================
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EVOLVE ANALYSIS - 12 instincts
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Project: my-app (a1b2c3d4e5f6)
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Project-scoped: 8 | Global: 4
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============================================================
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Found 3 clusters ready for evolution:
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High confidence instincts (>=80%): 5
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## Cluster 1: Database Migration Workflow
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Instincts: new-table-migration, update-schema, regenerate-types
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Type: Command
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Confidence: 85% (based on 12 observations)
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## SKILL CANDIDATES
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1. Cluster: "adding tests"
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Instincts: 3
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Avg confidence: 82%
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Domains: testing
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Scopes: project
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Would create: /new-table command
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Files:
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- ~/.claude/homunculus/evolved/commands/new-table.md
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## COMMAND CANDIDATES (2)
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/adding-tests
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From: test-first-workflow [project]
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Confidence: 84%
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## Cluster 2: Functional Code Style
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Instincts: prefer-functional, use-immutable, avoid-classes, pure-functions
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Type: Skill
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Confidence: 78% (based on 8 observations)
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Would create: functional-patterns skill
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Files:
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- ~/.claude/homunculus/evolved/skills/functional-patterns.md
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## Cluster 3: Debugging Process
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Instincts: debug-check-logs, debug-isolate, debug-reproduce, debug-verify
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Type: Agent
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Confidence: 72% (based on 6 observations)
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Would create: debugger agent
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Files:
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- ~/.claude/homunculus/evolved/agents/debugger.md
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---
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Run `/evolve --execute` to create these files.
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## AGENT CANDIDATES (1)
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adding-tests-agent
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Covers 3 instincts
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Avg confidence: 82%
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```
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## 标志
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* `--execute`: 实际创建演化后的结构(默认为预览)
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* `--dry-run`: 仅预览而不创建
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* `--domain <name>`: 仅演化指定领域的本能
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* `--threshold <n>`: 形成集群所需的最小本能数(默认:3)
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* `--type <command|skill|agent>`: 仅创建指定类型
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* `--generate`:除了分析输出外,还生成进化后的文件
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## 生成的文件格式
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