gsd-extract-learnings

name	gsd-extract-learnings
description	Extract decisions, lessons, patterns, and surprises from completed phase artifacts

<augment_skill_adapter>

A. Skill Invocation

• This skill is invoked when the user mentions gsd-extract-learnings or describes a task matching this skill.
• Treat all user text after the skill mention as {{GSD_ARGS}}.
• If no arguments are present, treat {{GSD_ARGS}} as empty.

B. User Prompting

When the workflow needs user input, prompt the user conversationally:

• Present options as a numbered list in your response text
• Ask the user to reply with their choice
• For multi-select, ask for comma-separated numbers

C. Tool Usage

Use these Augment tools when executing GSD workflows:

• launch-process for running commands (terminal operations)
• str-replace-editor for editing existing files
• view for reading files and listing directories
• save-file for creating new files
• grep for searching code (or use MCP servers for advanced search)
• web-search, web-fetch for web queries
• add_tasks, view_tasklist, update_tasks for task management

D. Subagent Spawning

When the workflow needs to spawn a subagent:

• Use the built-in subagent spawning capability
• Define agent prompts in .augment/agents/ directory </augment_skill_adapter>

Extract structured learnings from completed phase artifacts (PLAN.md, SUMMARY.md, VERIFICATION.md, UAT.md, STATE.md) into a LEARNINGS.md file that captures decisions, lessons learned, patterns discovered, and surprises encountered.

<execution_context> @/home/delorenj/code/bhappy/.augment/get-shit-done/workflows/extract_learnings.md </execution_context>

Execute the extract-learnings workflow from @/home/delorenj/code/bhappy/.augment/get-shit-done/workflows/extract_learnings.md end-to-end.