fix(M7-27+capstone): apply AI-drives-git reframe, lesson=theory, de-slop course-wide

Phase 2 sweep — all modules are post-pivot, so the learner directs the AI agent
(Claude Code as the worked example) to do the git/setup work and verifies, instead
of typing commands by hand; no re-teaching basics. Lesson sections are theory with
example output; all execution lives in the labs. De-slopped ("prose" etc. gone
course-wide, em-dash density thinned). /path/to placeholders -> ~/ai-workflow-course.

Every deliberate teaching device verified intact: M10 ai-change.patch trap,
M12 bad-clear-snippet, M13/M27 planted pending_count bug, M15 secret+typosquat+MD5,
M18 BREAK=1, M21 absent-.gitignore, M22 poisoned skill, M24 no-op patch, M25 --simulate.
Labs compile/parse (py/sh/yaml/json); no junk.

Closes #83
Closes #86
Closes #89

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TfzV5QvtPDz8LJS3Pu5VLT

modules/07-worktrees-running-agents-in-parallel/lab/setup-worktrees.sh

@@ -1,9 +1,10 @@
 #!/usr/bin/env bash
 #
 # Module 7 lab — create two linked worktrees off the tasks-app repo, each on its own branch.
-# Copy this into your tasks-app repo (the one you git-init'd in Module 2), then run it from inside:
+# This is the tool the coordinating AI session (the one already pointed at tasks-app) can run to
+# set up the worktrees. Hand it to your agent, or copy it into tasks-app and let the agent run it:
 #
-#     cp /path/to/modules/07-worktrees-running-agents-in-parallel/lab/setup-worktrees.sh .
+#     cp ~/ai-workflow-course/modules/07-worktrees-running-agents-in-parallel/lab/setup-worktrees.sh .
 #     bash setup-worktrees.sh
 #
 # It places the new worktree folders next to the repo, so you end up with: