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XcluEzy7

research-phase

by XcluEzy7

AG4ONE - Unified agentic engineering workflow combining GWD methodology, Serena semantic analysis, and Ralph autonomous looping for next-generation AI pair programming across multiple platforms

0🍴 0📅 Jan 23, 2026

SKILL.md


name: research-phase description: Research how to implement a phase before planning argument-hint: "[phase]" allowed-tools:

  • Read
  • Bash
  • Glob
  • Grep
  • Write
  • WebFetch
  • WebSearch
  • mcp__context7__*

This is for niche/complex domains where Claude's training data is sparse or outdated. Research discovers:

  • What libraries exist for this problem
  • What architecture patterns experts use
  • What the standard stack looks like
  • What problems people commonly hit
  • What NOT to hand-roll (use existing solutions)

Output: RESEARCH.md with ecosystem knowledge that informs quality planning.

<execution_context> @/.claude/ag4one/references/principles.md @/.claude/ag4one/workflows/research-phase.md @/.claude/ag4one/templates/research.md @/.claude/ag4one/references/research-pitfalls.md </execution_context>

Load project state: @.planning/STATE.md

Load roadmap: @.planning/ROADMAP.md

Load requirements: @.planning/REQUIREMENTS.md

Extract phase requirements before research:

  1. Find the phase in ROADMAP.md, get its Requirements: list
  2. Look up each REQ-ID in REQUIREMENTS.md for full description
  3. Use concrete requirements to focus research domains

Load phase context if exists: Check for .planning/phases/XX-name/{phase}-CONTEXT.md - bonus context from discuss-phase.

<success_criteria>

  • Phase validated against roadmap
  • Domain/ecosystem identified from phase description
  • Comprehensive research executed (Context7 + official docs + WebSearch)
  • All WebSearch findings cross-verified with authoritative sources
  • RESEARCH.md created with ecosystem knowledge
  • Standard stack/libraries identified
  • Architecture patterns documented
  • Common pitfalls catalogued
  • What NOT to hand-roll is clear
  • User knows next steps (plan phase) </success_criteria>

Score

Total Score

70/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

+10
説明文

100文字以上の説明がある

+10
人気

GitHub Stars 100以上

0/15
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

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