/contour:setup

Initialize the Contour AI infrastructure for this user. Creates all data files and injects the monitoring instruction into CLAUDE.md.

Run this once after installing the plugin. Re-running will prompt before overwriting existing data.

---

Reference Files

Before executing, read the following reference files:

• references/core-profile-structure.md — Core Profile format and initialization guide (Scenario A and B)
• references/claude-md-injection.md — CLAUDE.md injection template and placeholder substitution guide

Interaction style:

• For questions with predefined options: use the AskUserQuestion tool (enables arrow-key selection in the terminal).
• For open-ended text questions (username, domain name, Q1 background): ask as plain text — do not use AskUserQuestion.
• For all free-text inputs: if the user submits an empty or near-empty response (whitespace, single character), re-prompt once with a brief example of what's expected.
• If the user selects "Other" for any AskUserQuestion, immediately follow up: "Please describe:" and wait for their input. If they provide nothing, skip the item and proceed.

Domain State file initial structure — use the template matching the language selected in Step 1. Do not cross-reference sync skill files.Domain State file (English):

# {User} — {Domain} Domain State

Last synced: (not yet synced)

## Cognitive State

| Knowledge Point | Partial | Mastered | Updated |
|-----------------|---------|----------|---------|

## Communication Rules

- (to be populated as preferences are expressed)

Domain State file (Chinese):

# {User} — {Domain} 认知状态

最后同步：（尚未同步）

## 认知状态

| 知识点 | 部分理解 | 已掌握 | 更新 |
|--------|----------|--------|------|

## 沟通规则

- （待积累沟通偏好后填入）

---

Pre-flight

Check whether the data directory already exists:

• If ~/.claude/contour/ (or $AI_INFRA_DIR if set) exists and contains files → ask (AskUserQuestion):

  "Contour data already exists. Running setup will overwrite your Core Profile and Domain State files. (extract-buffer.md will be preserved.) Continue?"
  Options: "Yes, overwrite" / "No, cancel"

  • If "No, cancel" → STOP
• If the directory does not exist → proceed directly to Step 1

---

Step-by-Step Execution

Step 1 — Language

Ask (AskUserQuestion):

请选择语言 / Choose language

Options: 中文 / English

Record the selection. All user-facing output from this point forward (including the rest of this setup, generated file content, and the final report) uses the selected language. Internal prompt logic remains English throughout.

---

Step 2 — Data directory

Resolve the data directory path:

1. Check whether $AI_INFRA_DIR is set in the environment
2. If yes: use that path; if no: use ~/.claude/contour/

Create the directory if it does not exist. Report the resolved path to the user.

---

Step 3 — Username

Ask (plain text):

"What name should Contour use for your files? (This becomes the {user} prefix, e.g., alex-core.md)"

Validate: non-empty. If empty, re-prompt once with example: "e.g., alex, jane, mike"

Record as {user}. Suggest lowercase, no spaces if the user provides something else.

---

Step 4 — Generate Core Profile

Ask (AskUserQuestion):

"Do you have an existing document about yourself — a profile, bio, or description you've written for AI?"

Options: Yes, I have a document / No, start from scratch

If Yes (Scenario A):
Follow the Scenario A process in references/core-profile-structure.md.

If No (Scenario B):
Follow the Scenario B process in references/core-profile-structure.md. Ask the 4 questions defined there.

Write the finalized Core Profile to: {AI_INFRA_DIR}/{user}-core.md

---

Step 5 — Domain name

Ask (plain text) in the selected language:

If Chinese:

"Contour 要追踪哪个领域的认知状态？请用一个英文词作为文件名前缀。"
"例如：coder（编程）、writer（写作）、researcher（研究）、designer（设计）"
"也可以输入中文，我会帮你转成英文前缀并让你确认。"

If English:

"Which domain should Contour track your cognitive state for? Use one word — this becomes the file prefix."
"e.g., coder, writer, researcher, designer"

Validate: non-empty. If empty, re-prompt with the examples above.

If the user inputs Chinese, suggest an appropriate English prefix and confirm before proceeding.

Record as {domain}.

Create {AI_INFRA_DIR}/{user}-{domain}.md using the Domain State initial structure above.

---

Step 6 — Create Extract Buffer

Create {AI_INFRA_DIR}/extract-buffer.md with:

# Extract Buffer

(Signals appended here by /contour:extract, cleared by /contour:sync)

If the file already exists and has content: warn the user and skip — do not overwrite.

"extract-buffer.md already has content. Skipping to avoid data loss. Run /contour:sync first if you want to clear it."

---

Step 7 — Write rules file and inject CLAUDE.md

Read references/claude-md-injection.md for full instructions. Two actions:

8a — Write rules file

Write references/contour-monitoring-rules.md verbatim to ~/.claude/rules/contour-monitoring.md.

• Create ~/.claude/rules/ if it does not exist
• If the file already exists: overwrite (rules may have been updated)
• No placeholder substitution needed

8b — Inject entry block into CLAUDE.md

Target file: ~/.claude/CLAUDE.md

• If the file does not exist: create it with just the entry block
• If the file exists:
  • Check whether a block starting with <!-- Contour --> and ending with <!-- End Contour --> already exists
  • If it exists: replace the entire block with the new entry block (do not duplicate)
  • If it does not exist: append the entry block at the end (do not overwrite existing content)

Substitute placeholders in the entry block:

• {AI_INFRA_DIR} → resolved absolute path from Step 2
• {user} → value from Step 3
• {domain} → value from Step 5

8c — Add SessionStart hook to settings.json

Target file: ~/.claude/settings.json

This hook injects Core Profile and Domain State content into Claude's context at every session start, ensuring deterministic loading instead of relying on passive instruction text.

1. Read ~/.claude/settings.json (if the file does not exist, start with {})
2. Parse the JSON content
3. Locate or create the hooks.SessionStart array
4. Check if a Contour SessionStart hook already exists (look for a command string containing the resolved {AI_INFRA_DIR} path):
   • If found: replace it with the new entry (idempotent re-run)
   • If not found: append the new entry to the array
5. The hook entry to add (substitute all placeholders with resolved values from Steps 2, 3, 5):

{
  "matcher": "startup|resume",
  "hooks": [
    {
      "type": "command",
      "command": "cat {AI_INFRA_DIR}/{user}-core.md && echo '---' && cat {AI_INFRA_DIR}/{user}-{domain}.md"
    }
  ]
}

6. Write the merged result back to ~/.claude/settings.json

Important: preserve all existing content in settings.json — only add to or replace within the SessionStart array. Do not touch other hooks or settings keys.

---

8d — Install cognitive monitor hook

This hook classifies every conversation turn for cognitive signals and automatically updates Domain State — no manual /extract or /sync needed.

Step 1: Install hook script

Copy hooks/cognitive-monitor.ts from the plugin directory to {AI_INFRA_DIR}/hooks/cognitive-monitor.ts.

• Create {AI_INFRA_DIR}/hooks/ if it does not exist
• If the file already exists: overwrite (script may have been updated)

Step 2: Detect Git Bash path (Windows only)

On Windows, the claude CLI requires a Git Bash path. Detect it:

# Try common locations
for path in \
  "C:\\Program Files\\Git\\bin\\bash.exe" \
  "C:\\Program Files (x86)\\Git\\bin\\bash.exe" \
  "D:\\Program Files\\Git\\bin\\bash.exe" \
  "D:\\Program Files (x86)\\Git\\bin\\bash.exe"; do
  [ -f "$path" ] && echo "$path" && break
done

Record as {GIT_BASH_PATH}. On macOS/Linux, leave empty.

Step 3: Detect bun path

which bun 2>/dev/null || echo "$HOME/.bun/bin/bun"

Record as {BUN_PATH}. If bun is not installed, warn the user:

⚠️ bun is not installed. The cognitive monitor requires bun to run. Install it from https://bun.sh before proceeding.

Step 4: Register Stop hook in settings.json

1. Read ~/.claude/settings.json
2. Locate or create the hooks.Stop array
3. Check if a Contour Stop hook already exists (look for cognitive-monitor.ts in the command string):
   • If found: replace it (idempotent re-run)
   • If not found: append
4. The hook entry to add:

On macOS/Linux:

{
  "matcher": "*",
  "hooks": [
    {
      "type": "command",
      "command": "{BUN_PATH} run {AI_INFRA_DIR}/hooks/cognitive-monitor.ts {AI_INFRA_DIR}/{user}-{domain}.md"
    }
  ]
}

On Windows (include Git Bash path as third argument, use Windows backslash paths):

{
  "matcher": "*",
  "hooks": [
    {
      "type": "command",
      "command": "{BUN_PATH} run {AI_INFRA_DIR}/hooks/cognitive-monitor.ts {AI_INFRA_DIR}/{user}-{domain}.md '{GIT_BASH_PATH}'"
    }
  ]
}

5. Write merged result back to ~/.claude/settings.json

Important: preserve all existing content — only add to or replace within the Stop array.

---

Step 8 — Report

Render the report in the selected language.

English:

Contour setup complete ({date}):

Files created:
- Core Profile:    {AI_INFRA_DIR}/{user}-core.md
- Domain State:    {AI_INFRA_DIR}/{user}-{domain}.md
- Extract Buffer:  {AI_INFRA_DIR}/extract-buffer.md

CLAUDE.md updated:    ~/.claude/CLAUDE.md
settings.json updated: ~/.claude/settings.json (SessionStart + Stop hooks added)
Cognitive monitor:    {AI_INFRA_DIR}/hooks/cognitive-monitor.ts

⚠️  RESTART REQUIRED
The monitoring instruction won't take effect until you restart Claude Code.

Next steps:
1. Restart Claude Code now
2. Work normally — Contour automatically tracks cognitive changes after every response
3. (Optional) Run /contour:extract + /contour:sync if you want to capture signals from past sessions

Chinese:

Contour 设置完成（{date}）：

已创建文件：
- Core Profile：   {AI_INFRA_DIR}/{user}-core.md
- Domain State：   {AI_INFRA_DIR}/{user}-{domain}.md
- Extract Buffer： {AI_INFRA_DIR}/extract-buffer.md

CLAUDE.md 已更新：      ~/.claude/CLAUDE.md
settings.json 已更新：  ~/.claude/settings.json（已添加 SessionStart + Stop hook）
认知监测脚本：          {AI_INFRA_DIR}/hooks/cognitive-monitor.ts

⚠️  需要重启
监控指令在重启 Claude Code 后才会生效。

后续步骤：
1. 现在重启 Claude Code
2. 正常工作——Contour 在每轮对话结束后自动追踪认知变化
3. （可选）如需捕捉过往 session 的信号，可运行 /contour:extract + /contour:sync