large-workspace-handling
To partition large workspaces (100+ files) into scoped subagent tasks when context is insufficient.
来源信息
- 仓库
- griddynamics/rosetta
- 最近来源活动
- 2026年9月15日 01:56
- 检测到的 SKILL.md 语言
- 英语
- 星标
- 354
- 分支
- 79
安装方式
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决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。
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SKILL.md
来源说明 · 只读预览- name
- large-workspace-handling
- description
- To partition large workspaces (100+ files) into scoped subagent tasks when context is insufficient.
- license
- Apache-2.0
- tags
- ["skill","workspace","large-workspace","delegation"]
- baseSchema
- docs/schemas/skill.md
<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>
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