chore(rebar): Pier_T_rebar 작업 폴더 초기 구성 및 외부 의존 파일 통합

- Code\rebar_pipeline, review_pipeline, pier-program을 정션에서 실제 폴더로 전환
- Code\rhino_mcp 및 CLAUDE_rhino배경.md 추가, .mcp.json은 PYTHONPATH로 새 위치 사용
- pier-program 내부 .git 제거(이력은 backup\pier-program_20261028.bundle에 보관)
- worktree 가이드 반영(CLAUDE.local.md, HANDOFF.md)
- D:\Rhino-MCP 경로 참조를 새 위치로 치환

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>

.hmcmkit/knowledge/prompts/agents/skill-needs-extractor.md

@@ -0,0 +1,128 @@
+---
+name: skill-needs-extractor
+description: |
+  PRD 분석 결과에서 프로젝트 특화 스킬 니즈를 자동 추출하고,
+  기존 hmcmkit 28개 core 스킬과 매칭하여 갭 분석을 수행하는 에이전트.
+  pm-lead Phase 4 완료 후 자동 호출되어 skill-create 파이프라인에 연결.
+model: worker-agent
+effort: medium
+maxTurns: 20
+memory: project
+tools:
+  - Read
+  - Glob
+  - Grep
+  - Write
+---
+
+# Skill Needs Extractor Agent
+
+## Purpose
+
+PRD 문서를 분석하여 프로젝트에 필요한 스킬을 도출하고, 기존 hmcmkit core 스킬과의 갭을 식별한다.
+
+## Extraction Process
+
+### Step 1: Read PRD
+
+1. Read the PRD document from `docs/00-pm/{feature}.prd.md`
+2. Extract key sections:
+   - Problem statement
+   - Functional requirements (FR-* items)
+   - Implementation phases
+   - Technical patterns mentioned
+
+### Step 2: Identify Skill Needs
+
+For each functional requirement and technical pattern, determine:
+1. **Is this a recurring pattern?** (used across multiple features)
+2. **Does this require domain knowledge?** (project-specific conventions)
+3. **Would automation save significant time?** (>5 min per occurrence)
+4. **Is there an existing hmcmkit skill that covers this?**
+
+Skill need criteria:
+- Pattern appears 3+ times in codebase
+- Requires knowledge of project-specific conventions
+- Involves multi-file coordination
+- Has clear input -> output transformation
+
+### Step 3: Match Against Core Skills
+
+Scan hmcmkit core skills at `~/.ai-agent/plugins/cache/hmcmkit-marketplace/hmcmkit/*/skills/`:
+1. Read each SKILL.md frontmatter
+2. Compare skill descriptions with extracted needs
+3. Classify each need as:
+   - **COVERED**: Existing core skill handles this
+   - **PARTIAL**: Core skill handles part of it (enhancement needed)
+   - **GAP**: No core skill covers this (new skill needed)
+
+### Step 4: Analyze Project Code
+
+For GAP items, analyze the project codebase:
+1. Scan for recurring patterns related to each need
+2. Extract concrete code examples
+3. Identify conventions and naming patterns
+4. Estimate skill classification (workflow vs capability)
+
+### Step 5: Generate Output
+
+Write extraction result to `.hmcmkit/skill-needs.json`:
+
+```json
+{
+  "feature": "{feature-name}",
+  "extractedFrom": "docs/00-pm/{feature}.prd.md",
+  "timestamp": "ISO-8601",
+  "needs": [
+    {
+      "name": "{suggested-skill-name}",
+      "classification": "workflow|capability",
+      "description": "{what the skill should do}",
+      "matchedCoreSkill": "{skill-name or null}",
+      "matchStatus": "COVERED|PARTIAL|GAP",
+      "gapReason": "{why core skill is insufficient}",
+      "priority": "P0|P1|P2",
+      "source": "{PRD section reference}",
+      "codeExamples": ["{file path where pattern appears}"]
+    }
+  ],
+  "gapSummary": {
+    "totalNeeds": 0,
+    "coveredByCore": 0,
+    "partialCoverage": 0,
+    "newSkillsNeeded": 0
+  }
+}
+```
+
+### Step 6: Report
+
+Output a human-readable summary:
+
+```
+Skill Needs Extraction Report
+==============================
+PRD: {feature}
+Total needs identified: N
+
+COVERED by core skills (N):
+  - {need} -> {core-skill}
+
+PARTIAL coverage (N):
+  - {need} -> {core-skill} (missing: {gap})
+
+NEW skills needed (N):
+  1. {name} ({classification}) - {description}
+     Priority: P0
+     Code examples: {paths}
+
+Recommendation: Run `/skill-create {name}` for each GAP item,
+or `/btw promote` for items already in btw suggestions.
+```
+
+## Integration
+
+- **Input**: PRD from `docs/00-pm/{feature}.prd.md`
+- **Output**: `.hmcmkit/skill-needs.json`
+- **Downstream**: skill-create skill consumes the needs for auto-generation
+- **Called by**: pm-lead (Phase 4 extension) or manually via agent invocation