ZaneL1u/gsd-extract_learnings

<cursor_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 Cursor tools when executing GSD workflows:

• Shell for running commands (terminal operations)
• StrReplace for editing existing files
• Read, Write, Glob, Grep, Task, WebSearch, WebFetch, TodoWrite as needed

D. Subagent Spawning

When the workflow needs to spawn a subagent:

• Use Task(subagent_type="generalPurpose", ...)
• The model parameter maps to Cursor's model options (e.g., "fast") </cursor_skill_adapter>

<objective> 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. </objective>

<execution_context> @/Users/zaneliu/Projects/open-source/cloud-cli-proxy/.cursor/get-shit-done/workflows/extract_learnings.md </execution_context>

Execute the extract-learnings workflow from @/Users/zaneliu/Projects/open-source/cloud-cli-proxy/.cursor/get-shit-done/workflows/extract_learnings.md end-to-end.