autoresearch:learn

EXECUTE IMMEDIATELY — do not deliberate, do not ask clarifying questions before reading the protocol.

Argument Parsing (do this FIRST)

Extract these from $ARGUMENTS — the user may provide extensive context alongside flags. Ignore prose and extract ONLY flags/config:

• --mode <mode> or Mode: — init, update, check, summarize
• --scope <glob> or Scope: — limit codebase learning to specific dirs
• --depth <level> or Depth: — quick, standard, deep
• --file <name> — selective update targeting one doc file
• --scan — force fresh scout in summarize mode
• --topics <list> — focus summarize on specific topics
• --no-fix — skip validation-fix loop
• --format <fmt> — output format: markdown (default), html, json, rst
• Iterations: or --iterations N — integer for bounded mode (CRITICAL: run exactly N iterations then stop)

If Iterations: N or --iterations N is found, set max_iterations = N. Track current_iteration starting at 0. After iteration N, print final summary and STOP.

All remaining text in $ARGUMENTS is additional context — use it to understand the problem but do not treat it as flags.

Execution

1. Read the learn workflow: .claude/skills/autoresearch/references/learn-workflow.md
2. If scope or goal is missing — use AskUserQuestion with batched questions per learn-workflow.md
3. Execute the learn workflow
4. If bounded: after each iteration, check current_iteration < max_iterations. If not, STOP and print summary.

Stream all output live — never run in background.