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research-flow

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

معلومات المصدر

المستودع
griddynamics/rosetta
آخر نشاط في المصدر
١٩ أغسطس ٢٠٢٦ في ٢٢:٠٦
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٣٦٠
التفرعات
٨٠

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
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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