
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
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This is for niche/complex domains where Claude's training data is sparse or outdated.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:
- Find the phase in ROADMAP.md, get its
Requirements:list - Look up each REQ-ID in REQUIREMENTS.md for full description
- 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>
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SKILL.mdファイルが含まれている
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10回以上フォークされている
オープンIssueが50未満
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