Follow up PR #265: refine chapters, diagrams, and add S20 (#283)

* feat: s01-s14 docs quality overhaul — tool pipeline, single-agent, knowledge & resilience

Rewrite code.py and README (zh/en/ja) for s01-s14, each chapter building
incrementally on the previous. Key fixes across chapters:

- s01-s04: agent loop, tool dispatch, permission pipeline, hooks
- s05-s08: todo write, subagent, skill loading, context compact
- s09-s11: memory system, system prompt assembly, error recovery
- s12-s14: task graph, background tasks, cron scheduler

All chapters CC source-verified. Code inherits fixes forward (PROMPT_SECTIONS,
json.dumps cache, real-state context, can_start dep protection, etc.).

* feat: s15-s19 docs quality overhaul — multi-agent platform: teams, protocols, autonomy, worktree, MCP tools

Rewrite code.py and README (zh/en/ja) for s15-s19, the multi-agent platform
chapters. Each chapter inherits all previous fixes and adds one mechanism:

- s15: agent teams (TeamCreate, teammate threads, shared task list)
- s16: team protocols (plan approval, shutdown handshake, consume_inbox)
- s17: autonomous agents (idle polling, auto-claim, consume_lead_inbox)
- s18: worktree isolation (git worktree, bind_task, cwd switching, safety)
- s19: MCP tools (MCPClient, normalize_mcp_name, assemble_tool_pool, no cache)

All appendix source code references verified against CC source. Config priority
corrected: claude.ai < plugin < user < project < local.

* fix: 5 regressions across s05-s19 — glob safety, todo validation, memory extraction, protocol types, dep crash

- s05-s09: glob results now filter with is_relative_to(WORKDIR) (inherited from s02)
- s06-s08: todo_write validates content/status required fields (inherited from s05)
- s09: extract_memories uses pre-compression snapshot instead of compacted messages
- s16: submit_plan docstring clarifies protocol-only (not code-level gate)
- s17-s19: match_response restores type mismatch validation (from s16)
- s17-s19: claim_task deps list handles missing dep files without crashing

* fix: s12 Todo V2 logic reversal, s14/s15 cron range validation, s18/s19 worktree name validation

- s12 README (zh/en/ja): fix Todo V2 direction — interactive defaults to Task,
  non-interactive/SDK defaults to TodoWrite. Fix env var name to
  CLAUDE_CODE_ENABLE_TASKS (not TODO_V2).
- s14/s15: add _validate_cron_field with per-field range checks (minute 0-59,
  hour 0-23, dom 1-31, month 1-12, dow 0-6), step > 0, range lo <= hi.
  Replace old try/except validation that only caught exceptions.
- s18/s19: add validate_worktree_name() to remove_worktree and keep_worktree,
  not just create_worktree.

* fix: align s16-s19 teaching tool consistency

* fix pr265 chapter diagrams

* Add comprehensive s20 harness chapter

* Fix chapter smoke test regressions

* Clarify README tutorial track transition

---------

Co-authored-by: Haoran <bill-billion@outlook.com>
This commit is contained in:
gui-yue
2026-05-20 21:45:38 +08:00
committed by GitHub
parent c354cf7721
commit 1baf1aca5a
174 changed files with 35833 additions and 353 deletions

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# s20: Comprehensive Agent — All Mechanisms, One Loop
[中文](README.md) · [English](README.en.md) · [日本語](README.ja.md)
s01 → ... → s18 → s19 → `s20`
> *"Many mechanisms, one loop"* — tools, permissions, memory, tasks, teams, and plugins all hang off the same `while True`.
>
> **Harness layer**: Comprehensive — put the previous 19 mechanisms back into one runnable system.
---
## Problem
The first 19 chapters add one mechanism at a time. That is the right way to learn, but a real agent does not run with only one mechanism enabled.
A long-running coding agent needs all of these at once:
- tool dispatch and permission boundaries
- hook extension points
- todo planning and task graphs
- skills, memory, and runtime system prompt assembly
- compaction and error recovery
- background tasks and cron scheduling
- teams, protocols, autonomous claiming
- worktree isolation
- MCP external tool integration
The hard part is not piling up features. The hard part is seeing where each mechanism belongs around the loop. S20 is the endpoint chapter: every component is placed back into one harness.
---
## Solution
![System Architecture](images/system-architecture.en.svg)
S20 does not invent a new mechanism. It merges the teaching components from the earlier chapters into one complete harness:
```text
user input
→ UserPromptSubmit hooks
→ cron/background notification injection
→ context compact
→ memory + skills + MCP state assemble the system prompt
→ LLM
→ has tool_use block?
no → Stop hooks → return
yes → PreToolUse hooks + permission
→ TOOL_HANDLERS / MCP handlers / background dispatch
→ PostToolUse hooks
→ tool_result / task_notification back to messages
→ next round
```
The loop is still the same structure: call the model, check whether the response contains a `tool_use` block, execute tools, append results back to `messages`. CC source does not directly trust `stop_reason == "tool_use"`; the actual presence of a tool_use block is the continuation signal. What changed is that the harness around the loop is now complete.
---
## Where Each Component Sits
| Position | Component | Role |
|----------|-----------|------|
| Around user input | `UserPromptSubmit` hooks | Log, inject, or audit user input |
| Before LLM | cron queue | Inject scheduled prompts into `messages` |
| Before LLM | background notifications | Inject completed background work as `<task_notification>` |
| Before LLM | compaction pipeline | Budget large outputs, trim history, compact old tool results, summarize when needed |
| Before LLM | memory / skills / MCP state | Assemble the system prompt so the model sees current capabilities and long-term context |
| LLM call | error recovery | Retry 429/529, escalate `max_tokens`, compact on prompt-too-long |
| Before tool execution | `PreToolUse` hooks + permission | Block dangerous commands, out-of-bounds writes, destructive MCP tools |
| Tool dispatch | `assemble_tool_pool` | Assemble built-in tools and dynamic MCP tools |
| During tool execution | background dispatch | Move slow bash work into a daemon thread and return a placeholder result |
| After tool execution | `PostToolUse` hooks | Large-output warnings, logs, post-processing |
| Back to loop | tool_result | One `tool_result` per `tool_use`, then the next model round |
| No tool_use this round / on stop | `Stop` hooks | Stats, cleanup, audit |
---
## What code.py Contains
### Tools and Dispatch
The built-in tool pool contains 27 tools:
```text
bash, read_file, write_file, edit_file, glob
todo_write, task, load_skill, compact
create_task, list_tasks, get_task, claim_task, complete_task
schedule_cron, list_crons, cancel_cron
spawn_teammate, send_message, check_inbox
request_shutdown, request_plan, review_plan
create_worktree, remove_worktree, keep_worktree
connect_mcp
```
`assemble_tool_pool()` assembles these every round:
```text
BUILTIN_TOOLS + connected MCP tools
BUILTIN_HANDLERS + mcp__server__tool handlers
```
After `connect_mcp("docs")`, the next round exposes tools like `mcp__docs__search`.
### Permissions and Hooks
Permission is not hardcoded into the tool execution line. It is a `PreToolUse` hook:
```python
blocked = trigger_hooks("PreToolUse", block)
if blocked:
results.append(tool_result(block.id, blocked))
continue
```
That means permission, logging, and audit logic all attach to the same hook point. After execution, `PostToolUse` hooks run.
### Planning and Tasks
S20 keeps two planning layers:
- `todo_write`: lightweight plan for the current session, written to `.tasks/current_todos.json`
- task graph: cross-session, dependency-aware, claimable task files under `.tasks/task_*.json`
The first keeps a single agent from drifting. The second supports team coordination.
### Subagents and Teams
S20 has two kinds of delegation:
- `task`: one-shot subagent. It uses an isolated `messages[]`, discards intermediate context, and returns only a final summary.
- `spawn_teammate`: persistent teammate thread. It communicates through `MessageBus`, polls the task board while idle, and can claim work autonomously.
One-shot subagents solve context isolation. Persistent teammates solve long-running parallel collaboration.
### Memory, Skills, and Prompt
`assemble_system_prompt(context)` assembles each round from:
- identity and tool guidance
- workspace
- skills catalog
- `.memory/MEMORY.md`
- connected MCP servers
Skills only put their catalog into the system prompt. Full content is loaded on demand through `load_skill(name)`.
### Compaction and Recovery
Before the LLM call, S20 runs the compaction pipeline:
```text
tool_result_budget → snip_compact → micro_compact → compact_history
```
The model call is wrapped with recovery:
- 429: exponential backoff retry
- 529: exponential backoff, optionally switch to fallback model after repeated failures
- `max_tokens`: raise max tokens, then request continuation
- prompt too long: reactive compact and retry
### Background and Cron
Slow bash work does not block the main loop:
```text
should_run_background → start_background_task → placeholder tool_result
background done → task_notification → next round injects messages
```
The cron scheduler runs as a daemon thread and checks once per second. The CLI watches `cron_queue`; when a job fires, it injects `[Scheduled] ...` and runs one agent turn automatically.
### Worktree and MCP
Worktree isolation owns directories:
- `create_worktree(name, task_id)` creates an isolated branch and directory
- the task `worktree` field binds a task to that directory
- when a teammate claims a task with a worktree, its bash/read/write tools run in that directory
MCP owns external capability:
- `connect_mcp(name)` connects a mock server
- `assemble_tool_pool()` assembles MCP tools into the tool pool
- tool names use `mcp__server__tool`
---
## Changes from s19
| Component | s19 | s20 |
|-----------|-----|-----|
| tool pool | built-in + MCP | built-in + MCP, with s01-s18 tools restored |
| permission | omitted in teaching body | runs inside `PreToolUse` hook |
| hooks | omitted | UserPromptSubmit / PreToolUse / PostToolUse / Stop |
| todo | omitted | `todo_write` + reminder |
| skill | omitted | catalog in system prompt + `load_skill` |
| compact | omitted | pre-LLM compaction + `compact` tool + reactive compact |
| error recovery | simple try/except | retry / max_tokens / prompt too long |
| background | omitted | slow-operation thread + task notification |
| cron | omitted | daemon scheduler + durable jobs |
| multi-agent | kept | kept; teammates use basic tools in isolated directories |
| worktree | kept | kept |
| MCP | new | kept as part of the final tool pool |
---
## Try It
```sh
cd learn-claude-code
python s20_comprehensive/code.py
```
Try:
1. `Create a todo list for inspecting this repo, then list Python files`
2. `Connect to the docs MCP server and search for agent loop`
3. `Create two tasks, create worktrees for them, then spawn alice and bob. Ask them to submit plans before claiming tasks.`
4. `remind me of the meeting in 3 minutes.`
5. `Run npm install in the background and continue reading README.md`
Watch for:
- whether each tool call passes through hooks/permission
- whether MCP tools appear on the next round after `connect_mcp`
- whether slow operations return a background placeholder
- whether cron automatically reminds you when the time arrives
- whether teammates submit plans and pause before approval
- whether teammates can claim tasks after plan approval
- whether teammates switch to the bound worktree directory
---
## The End Is the Beginning
From s01 to s20, the code gets more capable, but the core remains unchanged:
```python
while True:
response = LLM(messages, tools)
if not has_tool_use(response.content):
return
results = execute_tools(response.content)
messages.append(tool_results)
```
Claude Code's complexity is not "another agent brain." It is the complexity of a mature harness. The model decides and chooses actions; the harness organizes environment, tools, permissions, memory, teams, and external capabilities.
This is the endpoint of the course: many mechanisms, one loop.

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# s20: Comprehensive Agent — すべての仕組みを 1 つのループへ
[中文](README.md) · [English](README.en.md) · [日本語](README.ja.md)
s01 → ... → s18 → s19 → `s20`
> *"仕組みは多い、ループは 1 つ"* — tools、permissions、memory、tasks、teams、plugins はすべて同じ `while True` に接続される。
>
> **Harness レイヤー**: 総合 — 前 19 章の仕組みを 1 つの実行可能なシステムへ戻す。
---
## 問題
前 19 章では、各章が 1 つの仕組みだけを追加した。学習にはその形が適している。しかし実際の agent は、1 つの仕組みだけで動くわけではない。
長時間動く coding agent には、同時に次のものが必要になる:
- tool dispatch と permission boundary
- hook extension point
- todo plan と task graph
- skill、memory、runtime system prompt assembly
- compaction と error recovery
- background task と cron scheduling
- team、protocol、autonomous claiming
- worktree isolation
- MCP external tool integration
難しいのは機能を積み上げることではない。それぞれの仕組みが loop のどこに接続されるかを見抜くことだ。S20 は終点章であり、すべての component を 1 つの harness に戻す。
---
## 解決策
![System Architecture](images/system-architecture.ja.svg)
S20 は新しい単独 mechanism を発明しない。前章までの teaching component を 1 つの完全な harness に統合する:
```text
user input
→ UserPromptSubmit hooks
→ cron/background notification injection
→ context compact
→ memory + skills + MCP state で system prompt を組み立てる
→ LLM
→ has tool_use block?
no → Stop hooks → return
yes → PreToolUse hooks + permission
→ TOOL_HANDLERS / MCP handlers / background dispatch
→ PostToolUse hooks
→ tool_result / task_notification を messages へ戻す
→ next round
```
loop 自体は同じ構造のままだ。model を呼び、response に `tool_use` block があるかを見て、tool を実行し、結果を `messages` に戻す。CC source でも `stop_reason == "tool_use"` を直接信頼せず、実際に tool_use block が出たかを continuation signal として扱う。変わったのは、loop の周囲の harness が完成形になったことだけ。
---
## 各 Component の位置
| 位置 | Component | 役割 |
|------|-----------|------|
| user input 周辺 | `UserPromptSubmit` hooks | user input の記録、注入、監査 |
| LLM 前 | cron queue | scheduled prompt を `messages` へ注入 |
| LLM 前 | background notifications | 完了した background work を `<task_notification>` として注入 |
| LLM 前 | compaction pipeline | 大きな出力を予算化し、履歴を切り、古い tool_result を圧縮し、必要なら要約 |
| LLM 前 | memory / skills / MCP state | current capabilities と long-term context を system prompt に組み込む |
| LLM call | error recovery | 429/529 retry、`max_tokens` escalation、prompt-too-long compact |
| tool 実行前 | `PreToolUse` hooks + permission | 危険な command、範囲外 write、destructive MCP tool を止める |
| tool dispatch | `assemble_tool_pool` | built-in tools と dynamic MCP tools を組み立てる |
| tool 実行中 | background dispatch | 遅い bash work を daemon thread に逃がし、placeholder result を返す |
| tool 実行後 | `PostToolUse` hooks | large-output warning、log、後処理 |
| loop へ戻る | tool_result | 1 つの `tool_use` に 1 つの `tool_result`、そして次の model round |
| tool_use がない round / stop 時 | `Stop` hooks | 統計、cleanup、audit |
---
## code.py に含まれるもの
### Tools と Dispatch
built-in tool pool には 27 個の tool がある:
```text
bash, read_file, write_file, edit_file, glob
todo_write, task, load_skill, compact
create_task, list_tasks, get_task, claim_task, complete_task
schedule_cron, list_crons, cancel_cron
spawn_teammate, send_message, check_inbox
request_shutdown, request_plan, review_plan
create_worktree, remove_worktree, keep_worktree
connect_mcp
```
`assemble_tool_pool()` は毎 round で次を組み立てる:
```text
BUILTIN_TOOLS + connected MCP tools
BUILTIN_HANDLERS + mcp__server__tool handlers
```
`connect_mcp("docs")` のあと、次の round では `mcp__docs__search` のような tool が出現する。
### Permission と Hooks
permission は tool 実行行に直接埋め込まない。`PreToolUse` hook として扱う:
```python
blocked = trigger_hooks("PreToolUse", block)
if blocked:
results.append(tool_result(block.id, blocked))
continue
```
これにより permission、logging、audit が同じ hook point に接続できる。実行後には `PostToolUse` hook が走る。
### Plan と Task
S20 には 2 層の plan がある:
- `todo_write`: current session 用の軽量 plan。`.tasks/current_todos.json` に保存。
- task graph: cross-session、dependency-aware、claimable な task file。`.tasks/task_*.json` に保存。
前者は単独 agent の drift を防ぐ。後者は team coordination の土台になる。
### Subagent と Team
S20 には 2 種類の delegation がある:
- `task`: one-shot subagent。独立した `messages[]` を使い、中間 context を捨て、final summary だけ返す。
- `spawn_teammate`: persistent teammate thread。`MessageBus` で通信し、idle 中に task board を polling して自律的に claim できる。
one-shot subagent は context isolation を解決する。persistent teammate は長期並列協作を解決する。
### Memory、Skills、Prompt
`assemble_system_prompt(context)` は毎 round 次を組み立てる:
- identity と tool guidance
- workspace
- skills catalog
- `.memory/MEMORY.md`
- connected MCP servers
skills は system prompt には catalog だけ置く。全文は `load_skill(name)` で必要な時に読む。
### Compaction と Recovery
LLM call の前に compaction pipeline を走らせる:
```text
tool_result_budget → snip_compact → micro_compact → compact_history
```
model call は recovery で包む:
- 429: exponential backoff retry
- 529: exponential backoff、連続失敗時は fallback model へ切替可能
- `max_tokens`: max tokens を上げ、その後 continuation を要求
- prompt too long: reactive compact 後に retry
### Background と Cron
遅い bash work は main loop を止めない:
```text
should_run_background → start_background_task → placeholder tool_result
background done → task_notification → next round injects messages
```
cron scheduler は daemon thread として動き、1 秒ごとに確認する。CLI は `cron_queue` を監視し、発火した job を `[Scheduled] ...` として注入して Agent を 1 turn 自動実行する。
### Worktree と MCP
worktree isolation は directory を担当する:
- `create_worktree(name, task_id)` が isolated branch と directory を作る
- task の `worktree` field が task と directory を紐付ける
- teammate が worktree 付き task を claim すると、bash/read/write はその directory で実行される
MCP は external capability を担当する:
- `connect_mcp(name)` が mock server に接続する
- `assemble_tool_pool()` が MCP tools を tool pool に組み立てる
- tool name は `mcp__server__tool` 形式に統一する
---
## s19 からの変化
| Component | s19 | s20 |
|-----------|-----|-----|
| tool pool | built-in + MCP | built-in + MCP、s01-s18 の tool を補完 |
| permission | teaching body では省略 | `PreToolUse` hook で実行 |
| hooks | 省略 | UserPromptSubmit / PreToolUse / PostToolUse / Stop |
| todo | 省略 | `todo_write` + reminder |
| skill | 省略 | system prompt の catalog + `load_skill` |
| compact | 省略 | LLM 前 compaction + `compact` tool + reactive compact |
| error recovery | simple try/except | retry / max_tokens / prompt too long |
| background | 省略 | slow-operation thread + task notification |
| cron | 省略 | daemon scheduler + durable jobs |
| multi-agent | 維持 | 維持。teammate は isolated directory 上の basic tools を使う |
| worktree | 維持 | 維持 |
| MCP | 新規 | final tool pool の一部として維持 |
---
## 試す
```sh
cd learn-claude-code
python s20_comprehensive/code.py
```
試す prompt
1. `Create a todo list for inspecting this repo, then list Python files`
2. `Connect to the docs MCP server and search for agent loop`
3. `Create two tasks, create worktrees for them, then spawn alice and bob. Ask them to submit plans before claiming tasks.`
4. `remind me of the meeting in 3 minutes.`
5. `Run npm install in the background and continue reading README.md`
見るポイント:
- tool call の前に hooks/permission を通るか
- `connect_mcp` 後の次 round で MCP tool が出るか
- 遅い operation が background placeholder を返すか
- cron が時刻到達時に自動で reminder を返すか
- teammate が plan を提出し、approval 前に停止するか
- plan approval 後、teammate が task を claim できるか
- worktree binding 後、teammate が対応 directory に切り替わるか
---
## 終わりは始まり
s01 から s20 まで、コードの能力は増えていく。しかし中心は変わらない:
```python
while True:
response = LLM(messages, tools)
if not has_tool_use(response.content):
return
results = execute_tools(response.content)
messages.append(tool_results)
```
Claude Code の複雑さは「別の agent brain」ではない。成熟した harness の複雑さだ。model は判断と action selection を担当する。harness は environment、tools、permissions、memory、teams、external capabilities を整理する。
これが本コースの終点だ:仕組みは多い、ループは 1 つ。

250
s20_comprehensive/README.md Normal file
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# s20: Comprehensive Agent — 全部机制,归到一个循环
[中文](README.md) · [English](README.en.md) · [日本語](README.ja.md)
s01 → ... → s18 → s19 → `s20`
> *"机制很多,循环一个"* — 工具、权限、记忆、任务、团队、插件都挂在同一个 while True 上。
>
> **Harness 层**: 综合 — 把前 19 章的机制放回同一个可运行系统。
---
## 问题
前 19 章每章只加一个机制。这样适合学习,但真实 Agent 不会只带一个机制运行。
一个能长期工作的 coding agent 需要同时拥有:
- 工具分发和权限边界
- hooks 扩展点
- todo 计划和任务图
- 技能、记忆、系统 prompt 组装
- 压缩和错误恢复
- 后台任务和 cron 调度
- 团队、协议、自治认领
- worktree 隔离
- MCP 外部工具接入
难点不是把功能堆起来而是看清楚它们都挂在循环的哪个位置。S20 就是终点章:把所有组件归位。
---
## 解决方案
![System Architecture](images/system-architecture.svg)
S20 不是再发明一个新机制,而是把前面的教学组件合成一个完整 harness
```text
用户输入
→ UserPromptSubmit hooks
→ cron/background 通知注入
→ context compact
→ memory + skills + MCP 状态组装 system prompt
→ LLM
→ has tool_use block?
否 → Stop hooks → 返回
是 → PreToolUse hooks + permission
→ TOOL_HANDLERS / MCP handlers / background dispatch
→ PostToolUse hooks
→ tool_result / task_notification 回 messages
→ 下一轮
```
循环本身仍然是同一个结构:调用模型,检查响应里是否出现 `tool_use` block执行工具把结果追加回 `messages`。CC 源码里也不直接信任 `stop_reason == "tool_use"`,而是以实际出现的 tool_use block 作为是否继续工具轮的信号。变化的是循环周围的 harness 变完整了。
---
## 组件在循环中的位置
| 位置 | 组件 | 作用 |
|------|------|------|
| 用户输入前后 | `UserPromptSubmit` hooks | 记录、注入、审计用户输入 |
| LLM 前 | cron queue | 把定时触发的 prompt 注入 `messages` |
| LLM 前 | background notifications | 后台任务完成后以 `<task_notification>` 注入 |
| LLM 前 | compaction pipeline | 先压大输出,再裁历史,再压旧 tool_result必要时摘要 |
| LLM 前 | memory / skills / MCP state | 组装 system prompt让模型看到当前能力和长期上下文 |
| LLM 调用 | error recovery | 429/529 重试,`max_tokens` 升级prompt too long 触发 reactive compact |
| 工具执行前 | `PreToolUse` hooks + permission | 拦截危险命令、写越界、破坏性 MCP 工具 |
| 工具分发 | `assemble_tool_pool` | 组装内置工具和 MCP 动态工具 |
| 工具执行时 | background dispatch | 慢 bash 操作放 daemon thread主循环先返回占位结果 |
| 工具执行后 | `PostToolUse` hooks | 大输出告警、日志等后处理 |
| 返回循环 | tool_result | 每个 `tool_use` 对应一个 `tool_result`,再回到下一轮 |
| 本轮没有 tool_use / 停止时 | `Stop` hooks | 统计、清理、审计 |
---
## code.py 包含什么
### 工具与分发
内置工具池包含 27 个工具:
```text
bash, read_file, write_file, edit_file, glob
todo_write, task, load_skill, compact
create_task, list_tasks, get_task, claim_task, complete_task
schedule_cron, list_crons, cancel_cron
spawn_teammate, send_message, check_inbox
request_shutdown, request_plan, review_plan
create_worktree, remove_worktree, keep_worktree
connect_mcp
```
`assemble_tool_pool()` 每轮组装:
```text
BUILTIN_TOOLS + connected MCP tools
BUILTIN_HANDLERS + mcp__server__tool handlers
```
所以 `connect_mcp("docs")` 后,下一轮工具池里会出现 `mcp__docs__search`
### 权限和 hooks
权限不写死在工具执行行里,而是作为 `PreToolUse` hook
```python
blocked = trigger_hooks("PreToolUse", block)
if blocked:
results.append(tool_result(block.id, blocked))
continue
```
这样 permission、log、审计都可以挂在同一个 hook 点上。执行后再触发 `PostToolUse`
### 计划与任务
S20 同时保留两层计划:
- `todo_write`:当前会话内的轻量计划,写入 `.tasks/current_todos.json`
- task graph跨会话、可依赖、可认领的任务文件写入 `.tasks/task_*.json`
前者帮助单个 Agent 不漂移;后者支撑团队协作。
### 子 agent 与团队
S20 有两种 delegation
- `task`:一次性 subagent。独立 `messages[]`,中间过程丢弃,只返回最终摘要。
- `spawn_teammate`:持久队友线程。通过 MessageBus 收发消息,能 idle 轮询任务板并自动认领。
一次性 subagent 解决“上下文隔离”;持久队友解决“长期并行协作”。
### 记忆、技能和 prompt
`assemble_system_prompt(context)` 每轮组装:
- 身份和工具说明
- workspace
- skills catalog
- `.memory/MEMORY.md`
- 已连接 MCP server
技能只在 system prompt 里放目录。完整内容通过 `load_skill(name)` 按需加载。
### 压缩和恢复
LLM 前先跑压缩管线:
```text
tool_result_budget → snip_compact → micro_compact → compact_history
```
调用模型时再包一层恢复:
- 429指数退避重试
- 529指数退避连续失败可切 fallback model
- `max_tokens`:先提高 max_tokens再要求 continuation
- prompt too longreactive compact 后重试
### 后台和 cron
慢 bash 操作不会阻塞主循环:
```text
should_run_background → start_background_task → placeholder tool_result
后台完成 → task_notification → 下一轮注入 messages
```
cron 调度器独立 daemon thread 每秒检查一次。CLI 会监听 `cron_queue`,命中后主动把 `[Scheduled] ...` 注入并运行一轮 Agent。
### worktree 与 MCP
worktree 负责隔离目录:
- `create_worktree(name, task_id)` 创建独立分支和目录
- task 的 `worktree` 字段绑定目录
- 队友 claim 到带 worktree 的 task 后bash/read/write 自动在对应目录下执行
MCP 负责外部能力:
- `connect_mcp(name)` 连接 mock server
- `assemble_tool_pool()` 把 MCP 工具组装进工具池
- 工具名统一为 `mcp__server__tool`
---
## 相对 s19 的变化
| 组件 | s19 | s20 |
|------|-----|-----|
| 工具池 | 内置 + MCP | 内置 + MCP补齐 s01-s18 的工具 |
| 权限 | 教学主体省略 | `PreToolUse` hook 中执行 |
| hooks | 省略 | UserPromptSubmit / PreToolUse / PostToolUse / Stop |
| todo | 省略 | `todo_write` + reminder |
| skill | 省略 | catalog in system prompt + `load_skill` |
| compact | 省略 | LLM 前压缩 + `compact` 工具 + reactive compact |
| error recovery | 简化 try/except | retry / max_tokens / prompt too long |
| background | 省略 | 慢操作后台线程 + task notification |
| cron | 省略 | daemon scheduler + durable jobs |
| multi-agent | 保留 | 保留;队友使用隔离目录下的基础工具 |
| worktree | 保留 | 保留 |
| MCP | 新增 | 保留,作为最终工具池的一部分 |
---
## 试一下
```sh
cd learn-claude-code
python s20_comprehensive/code.py
```
可以试:
1. `Create a todo list for inspecting this repo, then list Python files`
2. `Connect to the docs MCP server and search for agent loop`
3. `Create two tasks, create worktrees for them, then spawn alice and bob. Ask them to submit plans before claiming tasks.`
4. `remind me of the meeting in 3 minutes.`
5. `Run npm install in the background and continue reading README.md`
观察重点:
- 工具调用前是否经过 hooks/permission
- `connect_mcp` 后下一轮是否出现 MCP 工具
- 慢操作是否返回 background placeholder
- 到点是不是自动提醒开会
- 队友是否提交 plan并在 approval 前暂停
- plan 批准后,队友是否能认领任务
- worktree 绑定后,队友是否切到对应目录
---
## 结束亦是开始
从 s01 到 s20代码表面越来越复杂但核心始终没变
```python
while True:
response = LLM(messages, tools)
if not has_tool_use(response.content):
return
results = execute_tools(response.content)
messages.append(tool_results)
```
Claude Code 的复杂性不是“另一个 agent 大脑”,而是一个成熟 harness 的复杂性。模型负责判断和行动选择harness 负责把环境、工具、权限、记忆、团队和外部能力组织好。
这就是全书的终点:机制很多,循环一个。

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