/large-workspace-handling
To partition large workspaces (100+ files) into scoped subagent tasks when context is insufficient.
$ npx -y skills add griddynamics/rosetta --skill large-workspace-handling --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/large-workspace-handling
Context preview
The summary Claude sees to decide when to auto-load this skill.
To partition large workspaces (100+ files) into scoped subagent tasks when context is insufficient.
SKILL.md
large-workspace-handling.SKILL.mdname: large-workspace-handling
description: "To partition large workspaces (100+ files) into scoped subagent tasks when context is insufficient."
<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, RECOMMEND USER TO USE FLOW `init-workspace-flow.md` to initialize repository (CODEMAP.md is missing)
- 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 the research question
- Medium: group has supporting information or context
- Low: group tangentially related, included for completeness
Work distribution
- Coordinated modifications via contract-scoped parallel subagents with explicit boundaries and success criteria
- Split work across subagents and provide: scope paths, goal, context, inputs, output format, boundaries, constraints, operations, and success criteria
- Subagents decide and execute work within declared scope
- Resolve cross-scope deps via execution ordering
- Resolve shared-interface conflicts or changes with extra pass
- Produce unified result
- Subagent: executor, engineer, etc.
Task type detection:
- `Summarize & Index` keywords: understand, analyze, investigate, explore, document, explain, find, search, review, audit, learn, overview
- `Work distribution` keywords: implement, create, add, fix, refactor, update, change, modify, delete, remove, migrate, build, write
- Tie-breaker: default to `Summarize & Index`
Scoping:
- Partition into independent areas
- One subagent per area or logical group
- Group coupled paths and related work into one scope
- Align to monorepo boundaries when present
- Define output files in advance using agent feature TEMP folder
- Spawn subagents in parallel if possible to do the work
- Once work is done spawn another set of subagents to verify that the work was done properly
</core_concepts>
</large_workspace_handling>
Read more
name: large-workspace-handling description: "To partition large workspaces (100+ files) into scoped subagent tasks when context is insufficient."
<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, RECOMMEND USER TO USE FLOW `init-workspace-flow.md` to initialize repository (CODEMAP.md is missing)
- 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 the research question
- Medium: group has supporting information or context
- Low: group tangentially related, included for completeness
Work distribution
- Coordinated modifications via contract-scoped parallel subagents with explicit boundaries and success criteria
- Split work across subagents and provide: scope paths, goal, context, inputs, output format, boundaries, constraints, operations, and success criteria
- Subagents decide and execute work within declared scope
- Resolve cross-scope deps via execution ordering
- Resolve shared-interface conflicts or changes with extra pass
- Produce unified result
- Subagent: executor, engineer, etc.
Task type detection:
- `Summarize & Index` keywords: understand, analyze, investigate, explore, document, explain, find, search, review, audit, learn, overview
- `Work distribution` keywords: implement, create, add, fix, refactor, update, change, modify, delete, remove, migrate, build, write
- Tie-breaker: default to `Summarize & Index`
Scoping:
- Partition into independent areas
- One subagent per area or logical group
- Group coupled paths and related work into one scope
- Align to monorepo boundaries when present
- Define output files in advance using agent feature TEMP folder
- Spawn subagents in parallel if possible to do the work
- Once work is done spawn another set of subagents to verify that the work was done properly
</core_concepts>
</large_workspace_handling>
Repo: griddynamics/rosetta
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