AgentSkillsCN

Research

RPI研究阶段——借助并行智能体与分块输出,系统性探索代码库

SKILL.md
--- frontmatter
description: RPI Research Phase - Systematic codebase exploration with parallel agents and chunked output

Context Engineering: Research Phase (Enhanced)

When invoked, perform systematic codebase exploration using parallel agents:

Key Innovation: Inter-Phase Awareness

This research phase KNOWS how RPI-Plan will consume its output:

  • Output structured into research chunks (CHUNK-R1, CHUNK-R2, etc.)
  • Each chunk is self-contained with files, dependencies, and status
  • RPI-Plan will create a CHUNK-Pn todolist per CHUNK-Rn
  • Chunk manifest enables sequential processing by RPI-Plan

Process

  1. Initialize Research Document

    • Create .claude/research/active/[feature]_research.md
    • Use template from .claude/research/RESEARCH_TEMPLATE.md
  2. Spawn Parallel Agents (3-5 agents)

    code
    Agent 1: API/Route Entry Points       → CHUNK-R1
    Agent 2: Business Logic & Models      → CHUNK-R2
    Agent 3: Database/Storage Layer       → CHUNK-R3
    Agent 4: External Integrations        → CHUNK-R4
    Agent 5: Test Coverage Analysis       → CHUNK-R5
    

    Each agent receives:

    • Feature name and objective
    • Assigned domain
    • Required output format (chunk structure)
    • Line number requirement for all file references
  3. Per-Agent Chunk Output Each agent produces a self-contained chunk:

    markdown
    ## CHUNK-Rn: [Domain]
    **Status:** COMPLETE
    **Parallel Agent:** Agent N
    **Ready for Planning:** Yes
    
    ### Files Explored
    | File | Lines | Key Findings |
    
    ### Code Flow Analysis
    [call chain with file:line refs]
    
    ### Dependencies (This Chunk)
    - External: [APIs]
    - Internal: [services]
    
  4. Aggregate Chunk Results

    • Create chunk manifest table
    • Combine all agent outputs
    • Verify all chunks are COMPLETE
  5. Generate Inter-Phase Contract

    code
    EXPECTED_CONSUMER: rpi-plan
    CHUNK_PROCESSING_ORDER: sequential (R1 → R2 → R3 → R4 → R5)
    MARK_AS_PLANNED_WHEN: chunk todolist created
    REQUIRED_OUTPUT: CHUNK-Pn per CHUNK-Rn
    
  6. Generate Summary

    • 150-word summary for Plan phase
    • Reference key files from each chunk
    • Recommend approach

Chunk Manifest Format (Required)

markdown
| Chunk ID | Domain | Status | Files | Ready for Planning |
|----------|--------|--------|-------|-------------------|
| CHUNK-R1 | API/Routes | COMPLETE | 3 | ✅ |
| CHUNK-R2 | Business Logic | COMPLETE | 4 | ✅ |
| CHUNK-R3 | Database | COMPLETE | 2 | ✅ |
| CHUNK-R4 | External | COMPLETE | 1 | ✅ |
| CHUNK-R5 | Tests | COMPLETE | 3 | ✅ |

Context Budget

  • Target: 25% of 200k tokens (50k)
  • Per-agent budget: ~10k tokens each
  • Compaction: After each agent returns
  • Final output: ~20k tokens (research doc only)

Output

Research document saved to .claude/research/active/ with:

  • Chunk manifest
  • Per-chunk details
  • Inter-phase contract for RPI-Plan

Next Step

After completion, run /context-eng:plan $ARGUMENTS

RPI-Plan will read chunk manifest and create CHUNK-Pn todolist per CHUNK-Rn