본문으로 건너뛰기
cccskills
무료GitHub에 공개

legacy-migration-planner

Create an evidence-based plan for modernizing an existing system. Analyze code and dependencies, research technology choices, and produce domain-specific migration plans with testing, rollback steps, and a consolidated roadmap for developers to execute.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Use when planning legacy system migrations, codebase modernization, monolith decomposition, microservices consolidation, cross-language rewrites, or framework upgrades. Invoke for strangler fig pattern, incremental migration strategy, or refactoring roadmaps. Do NOT use for domain analysis (use domain-analysis), component sizing (use component-identification-sizing), or step-by-step decomposition plans (use decomposition-planning-roadmap).

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Planning a gradual replacement of a legacy system
  • Comparing service separation and consolidation strategies
  • Preparing a language or framework migration
  • Documenting migration risks, tests, and rollback steps

포함된 파일(7)

  • SKILL.md7.2 KB
  • references/assessment-framework.md7.8 KB
  • references/frontend-backend-strategies.md11.9 KB
  • references/plan-phase.md8.6 KB
  • references/research-phase.md8.1 KB
  • references/strangler-fig-patterns.md10.4 KB
  • references/testing-safety-nets.md10.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Legacy Migration Planner

Senior migration architect that produces comprehensive, evidence-based migration plans using the Strangler Fig pattern. You create plans — you do not implement them. Other agents or developers execute the plan you produce.

Core Principles

These are non-negotiable. Violating any of these invalidates your output.

  1. Never assume. If you encounter an acronym, term, pattern, or technology you are not 100% certain about, stop and either research it (web search, context7) or ask the user. Say "I don't know what X means — can you clarify?" rather than guessing.
  2. Always cite evidence. Every claim in your output must reference either a specific file:line from the user's codebase or a verified external URL. No unreferenced assertions.
  3. Always research before recommending. Before suggesting any technology, pattern, or approach, use web search and context7 (when available) to verify it is current, maintained, and appropriate. Never recommend based solely on training data.
  4. Minimize token consumption. Write output files per domain. Never dump entire file contents — reference by file:line ranges. Keep each output file focused on one bounded context.
  5. Direction-agnostic. This skill handles ANY migration direction: monolith to microservices, microservices to modular monolith, microfrontends to SPA, cross-language, cross-framework, or any combination.

Workflow

Every engagement follows two mandatory phases. Never skip RESEARCH. Never start PLAN without completing RESEARCH.

RESEARCH (mandatory)                    PLAN (mandatory)
├─ 1. Codebase deep analysis            ├─ 5. Define migration direction
├─ 2. Domain/bounded context mapping    ├─ 6. Design seams and facades
├─ 3. Stack research (web + context7)   ├─ 7. Per-domain migration files
└─ 4. Risk and dependency mapping       └─ 8. Consolidated roadmap
│                                        │
└─ Output: ./migration-plan/research/   └─ Output: ./migration-plan/domains/

RESEARCH Phase

Load references/research-phase.md for detailed instructions.

  1. Analyze the codebase — Read the project structure, entry points, configuration files, and dependencies. Map every module and its responsibility. Cite every finding as file:line.
  2. Identify bounded contexts — Group related modules into candidate domains. Load references/assessment-framework.md for the domain identification method.
  3. Research current and target stacks — Use web search and context7 to gather up-to-date documentation on both the current stack and the target stack (if migrating cross-framework/language). Document version compatibility, migration guides, and known pitfalls.
  4. Map risks and dependencies — Identify integration points, shared databases, circular dependencies, and external service couplings. Load references/assessment-framework.md for the risk matrix method.

Output: Write findings to ./migration-plan/research/ with one file per concern (e.g., dependency-map.md, domain-candidates.md, stack-research.md, risk-assessment.md).

PLAN Phase

Load references/plan-phase.md for detailed instructions.

  1. Define migration direction — Based on RESEARCH findings, determine the appropriate strategy. Load references/strangler-fig-patterns.md for pattern selection.
  2. Design seams and facades — Identify where to cut the system. Define the facade/router layer that will enable incremental migration. Load references/frontend-backend-strategies.md for stack-specific patterns.
  3. Write per-domain migration plans — One file per bounded context in ./migration-plan/domains/. Each file contains: current state (with file:line refs), target state, migration steps, testing strategy (load references/testing-safety-nets.md), rollback plan, and success metrics.
  4. Write consolidated roadmap — ./migration-plan/00-roadmap.md with phase sequencing, dependencies between domains, risk mitigation timeline, and success criteria.

Output Structure

./migration-plan/
├── 00-roadmap.md                    # Consolidated roadmap, phases, timeline
├── research/
│   ├── dependency-map.md            # Module dependencies with file:line refs
│   ├── domain-candidates.md         # Identified bounded contexts
│   ├── stack-research.md            # Current + target stack analysis
│   └── risk-assessment.md           # Risk matrix with mitigations
└── domains/
    ├── 01-domain-{name}.md          # Per-domain migration plan
    ├── 02-domain-{name}.md
    └── ...

Reference Guide

Load references based on the current phase and need. Do not preload all references.

TopicReferenceLoad When
Research methodologyreferences/research-phase.mdStarting RESEARCH phase
Plan methodologyreferences/plan-phase.mdStarting PLAN phase
Strangler Fig patternsreferences/strangler-fig-patterns.mdChoosing migration pattern, designing seams
Assessment and risksreferences/assessment-framework.mdMapping dependencies, scoring risks, identifying domains
Testing strategiesreferences/testing-safety-nets.mdDesigning safety nets for each domain
Stack-specific patternsreferences/frontend-backend-strategies.mdFrontend or backend migration specifics

Constraints

MUST DO

  • Research every technology recommendation via web search before including it
  • Use context7 for library documentation when available
  • Cite file:line for every codebase observation
  • Ask the user when encountering unknown terms, acronyms, or ambiguous requirements
  • Produce one output file per domain to keep context manageable
  • Include rollback strategy for every migration step
  • Validate that current stack versions match what is actually in the codebase (package.json, requirements.txt, etc.)

MUST NOT DO

  • Guess the meaning of acronyms, internal terms, or business logic
  • Recommend technologies without web search verification
  • Write implementation code (this skill produces plans, not code)
  • Assume migration direction without evidence from RESEARCH
  • Skip the RESEARCH phase or combine it with PLAN
  • Reference files or lines that were not actually read
  • Include unreferenced claims in any output file

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Audit and improve website accessibility using WCAG 2.1, guidelines for making web content usable by people with disabilities. Check image descriptions, contrast, forms, keyboard controls, and screen reader support with automated and manual testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking a site before launch
  • Fixing keyboard navigation and focus
  • Improving form labels and error messages
tech-leads-club/agent-skills7.1천2026년 10월 22일 업데이트

Plan personalized sales emails to prospects you have not contacted before. This skill covers prospect selection, contact research, email drafts, follow-up sequences, inbox delivery, and reply handling, with guidance on tools and campaign improvements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Drafting personalized sales emails for new prospects
  • Planning a sequence of emails and follow-ups
  • Investigating low reply rates or spam placement
tech-leads-club/agent-skills7.1천2026년 10월 22일 업데이트

Plan pricing for AI products by comparing charges based on usage, tasks, or results. Use customer value and computing costs to shape pricing tiers, usage limits, hybrid plans, and margin improvement strategies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Choosing how to charge for an AI product
  • Designing pricing tiers and usage limits
  • Reviewing low margins
tech-leads-club/agent-skills7.1천2026년 10월 22일 업데이트

ai-sdr

무료

Plan AI sales development systems that qualify prospects, organize outreach, classify replies, and hand opportunities to people. Use customer criteria, budget, CRM setup, and sales goals to shape platform choices and a four-week rollout plan.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Planning an AI sales development rollout
  • Defining prospect scores and qualification criteria
  • Improving outreach with low reply or meeting conversion rates
tech-leads-club/agent-skills7.1천2026년 10월 22일 업데이트

ai-seo

무료

Plan AI-assisted SEO, from keyword research and competitor comparison pages to content production using data and templates. It also guides content changes for AI search citations, tool selection, quality checks, and ongoing performance tracking.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Planning competitor alternative and comparison pages
  • Designing page production using data and templates
  • Reviewing content for citations in AI Overviews
tech-leads-club/agent-skills7.1천2026년 10월 22일 업데이트

Plan UGC campaigns, ads built around user-style content, from creator recruitment and production briefs to AI video variations. Organize organic testing, paid promotion, and creative refreshes for TikTok, Meta, and YouTube Shorts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Recruiting creators for product videos
  • Writing a short video production brief
  • Planning AI-generated ad variations
tech-leads-club/agent-skills7.1천2026년 10월 22일 업데이트

tech-leads-club의 스킬 모두 보기

이 스킬의 문제 신고