Commit
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364e204
1
Parent(s):
6a506c2
Add missing critical steps to flow with subheading format
Browse files- Added Step 1: Project Analysis
- Added Step 2: Intelligent Crew Selection (was missing!)
- Added Step 3: Context Window Calculation (was missing!)
- Added Step 4: Context Optimization - THE CRITICAL STEP
- Restructured as subheadings instead of table for better readability
- Now properly shows the complete 9-step flow
- Emphasized context optimization as the key innovation
- source/README.md +31 -8
source/README.md
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@@ -140,14 +140,37 @@ This completes the flow.
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### Complete Flow Sequence
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## Reference
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### Complete Flow Sequence
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#### Step 1: Project Analysis
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HTPG evaluates the project specification and requirements that the user is proposing.
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#### Step 2: Intelligent Crew Selection
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HTPG draws up a shortlist of subagents from the Agent Farm to form a "crew" with minimal task overlap and maximal synergy for the specific project needs.
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#### Step 3: Context Window Calculation
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HTPG calculates the approximate cumulative context window that the desired crew would impose on the system.
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#### Step 4: Context Optimization (The Critical Step!)
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If the crew exceeds the user-defined context limit, HTPG makes intelligent substitutions until an optimized crew is assembled that fits within constraints. Tactics include:
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- Removing least important subagents
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- Truncating descriptions or shortening system prompts of constituent agents
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#### Step 5: Crew Staging
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Selected and optimized crew gets copied to a temporary directory for processing.
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#### Step 6: Config Adaptation
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Crew configs are edited for the task at hand through variable substitution, giving cookie-cutter subagents project-specific context.
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#### Step 7: Deployment to Workspace
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Processed crew gets copied into the project directory at `./.claude/agents`.
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#### Step 8: Documentation Generation
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CLAUDE.md gets created in the workspace containing a brief overview of the assembled crew and their roles.
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#### Step 9: User Confirmation
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User receives a success message confirming their repo has been created with an optimized team of subagents that won't overrun context.
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### The Result
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Users can create as many stock agents as they wish, knowing they'll be kept safe in the Agent Farm library and intelligently assembled when needed for future projects.
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## Reference
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