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research-flow

Workflow for deep project research with grounded references, parallel exploration, etc.

Informações da origem

Repositório
griddynamics/rosetta
Última atividade na origem
19 de agosto de 2026 às 22:06
Idioma detectado do SKILL.md
inglês
Estrelas
364
Forks
80

Opções de instalação

Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.

Revise os arquivos de origem

Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.

Exibindo SKILL.md

SKILL.md
Instruções da origem · Visualização somente leitura
name
research-flow
description
Workflow for deep project research with grounded references, parallel exploration, etc.
<research_flow> <description_and_purpose> Orchestrates deep research via meta-prompting: craft an optimized research prompt, then execute it in a dedicated subagent. </description_and_purpose> <workflow_phases> <prerequisites phase="0", applies="ALL"> 1. All Rosetta prep steps MUST be FULLY completed 2. USE SKILL `load-project-context`, `orchestration`, `hitl` 3. MUST ALWAYS use todo tasks ledger, ASAP. Phases are sequential. Independent tasks can run in parallel. 4. Orchestrator trusts the system and skills; coordinates sequence, artifacts, state, and approvals only. 5. Workflow state MUST be saved to `agents/TEMP/<FEATURE>/research-flow-state.md` file. 6. If `/goal` is set repeat phases 3-4 until goal is met. </prerequisites> <context_load phase="1" subagent="researcher" role="Context gatherer for research scope" subagent_required_model="inherit"> 1. Read all lines from CONTEXT.md, ARCHITECTURE.md, and IMPLEMENTATION.md. 2. Input: user research request. Output: loaded project context. 3. Update `research-flow-state.md`. </context_load> <prompt_craft phase="2" subagent="researcher" role="Research prompt architect" subagent_required_model="inherit"> 1. Create an optimized research prompt for the user request. 2. Save as `research-prompt.md` in FEATURE PLAN folder. Output ONLY the optimized prompt. 3. Input: user request + project context. Output: `research-prompt.md`. 4. Required skills: `reasoning` 5. Update `research-flow-state.md`. 6. HITL approval of research prompt before execution. </prompt_craft> <execute_research phase="3" subagent="researcher" role="Deep research executor" subagent_required_model="inherit"> 1. Execute the approved research prompt as a separate subagent. 2. Input: approved `research-prompt.md`. Output: `docs/<feature>-research.md`. 3. Required skills: `research` 4. Update `research-flow-state.md`. </execute_research> <finalize phase="4" subagent="researcher" role="Research finalizer" subagent_required_model="inherit"> 1. Finalize `docs/<feature>-research.md`. 2. Input: completed research document. Output: finalized research document. 3. Update `research-flow-state.md` and mark complete. </finalize> </workflow_phases> </research_flow>
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