Replace refine command with learn command for conversation-driven improvement

The learn command reflects on conversations where DeepWork jobs were run,
identifies confusion or inefficiencies, and improves job instructions. It also
captures bespoke learnings specific to the current run into AGENTS.md files
in the appropriate working folder.

Key features:
- Analyzes conversation for DeepWork job executions
- Classifies learnings as generalizable (→ instructions) or bespoke (→ AGENTS.md)
- Uses file references in AGENTS.md to keep things in sync
- Creates learning_summary.md documenting all changes

Changes:
- Removed refine step from deepwork_jobs
- Added learn step with comprehensive instructions
- Updated job version to 0.2.0
- Regenerated all command files

Author: claude

.claude/commands/deepwork_jobs.define.md

@@ -44,14 +44,15 @@ hooks:
 ## Job Overview
 
 Core commands for managing DeepWork jobs. These commands help you define new multi-step
-workflows and refine existing ones.
+workflows and learn from running them.
 
 The `define` command guides you through an interactive process to create a new job by
 asking detailed questions about your workflow, understanding each step's inputs and outputs,
 and generating all necessary files.
 
-The `refine` command helps you modify existing jobs safely by understanding what you want
-to change, validating the impact, and ensuring consistency across your workflow.
+The `learn` command reflects on conversations where DeepWork jobs were run, identifies
+confusion or inefficiencies, and improves job instructions. It also captures bespoke
+learnings specific to the current run into AGENTS.md files in the working folder.
 
 
 

.claude/commands/deepwork_jobs.implement.md

@@ -48,14 +48,15 @@ hooks:
 ## Job Overview
 
 Core commands for managing DeepWork jobs. These commands help you define new multi-step
-workflows and refine existing ones.
+workflows and learn from running them.
 
 The `define` command guides you through an interactive process to create a new job by
 asking detailed questions about your workflow, understanding each step's inputs and outputs,
 and generating all necessary files.
 
-The `refine` command helps you modify existing jobs safely by understanding what you want
-to change, validating the impact, and ensuring consistency across your workflow.
+The `learn` command reflects on conversations where DeepWork jobs were run, identifies
+confusion or inefficiencies, and improves job instructions. It also captures bespoke
+learnings specific to the current run into AGENTS.md files in the working folder.
 
 
 ## Prerequisites
@@ -578,13 +579,13 @@ After completing this step:
 2. **Inform the user**:
    - Step 2 of 3 is complete
    - Outputs created: implementation_summary.md
-   - Ready to proceed to next step: `/deepwork_jobs.refine`
+   - Ready to proceed to next step: `/deepwork_jobs.learn`
 
 ## Next Step
 
 To continue the workflow, run:
 ```
-/deepwork_jobs.refine
+/deepwork_jobs.learn
 ```
 
 ---