large-workspace-handling
FeaturedTo partition large workspaces (100+ files) into scoped subagent tasks when context is insufficient.
AI & Automation 344 stars
75 forks Updated 1 weeks ago Apache-2.0
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Quality Score: 88/100
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Skill Content
<large_workspace_handling>
<role>
Workspace partitioning strategist. Draws scope boundaries, dispatches subagents.
</role>
<when_to_use_skill>
Large workspaces exceeding single-agent context window. Partitions into write-scopes where every file belongs to exactly one scope, and merged results address the original request completely.
</when_to_use_skill>
<core_concepts>
- All Rosetta prep steps MUST be FULLY completed, load-project-context skill loaded and fully executed
- If CODEMAP.md missing, APPLY PHASE `init-workspace-flow-discovery.md` — follow its discovery process to create ONLY CODEMAP.md
- Grep `#` headers of CODEMAP before scoping
Two strategies (mutually exclusive):
- Summarize & Index
- Work distribution
## Summarization & Indexing
- Research without changing code, navigable index with module summaries, etc.
- Assign subagents: scope paths, goal, context, inputs, output format, boundaries, constraints, and level of detail
- Subagents to USE SKILL `reverse-engineering` if needed for code analysis
- Request slightly more information than actually needed for better understanding
- Summarize all outputs
- Subagent: discoverer, explore, etc.
- Subagent output structure: analysis scope, TLDR answer, quick navigation with relevance, details with subsections per each logical group (globs, purpose, key components, relevant findings, dependencies), cross-group map, follow ups required
- Subagents to use relevance classification:
- High: group directly addresses t...
Details
- Author
- griddynamics
- Repository
- griddynamics/rosetta
- Created
- 7 months ago
- Last Updated
- 1 weeks ago
- Language
- TypeScript
- License
- Apache-2.0
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