company-research은(는) 무엇을 하나요?
경영진 인용문, 제품 전략 및 조직 컨텍스트가 포함된 회사 리서치 브리프를 만듭니다. 면접 준비, 경쟁사 분석, 파트너십 또는 시장 진출 작업 시 사용하세요.
회사 리서치 브리프를 생성하여 경영진 인용문, 제품 전략, 조직 컨텍스트를 제공합니다. 면접 준비, 경쟁사 분석, 파트너십 또는 시장 진출 작업에 사용하세요.
이 스킬은 사용자가 특정 회사에 대한 심층 리서치 브리프를 생성할 수 있도록 지원합니다. 면접, 경쟁사 분석, 파트너십 협상, 신규 시장 진출 등 다양한 비즈니스 상황에서 유용합니다. 주요 기능으로는 경영진의 공개 발언 인용문 수집, 핵심 제품 전략 분석, 조직 구조 및 문화 파악 등이 포함됩니다. 사용자는 분석 대상 회사명을 입력하기만 하면 되며, AI가 공개 정보를 바탕으로 체계적인 리서치 보고서를 자동으로 작성해줍니다. 지원 플랫폼은 Claude Code, Cursor, Codex 등 주요 AI 에이전트 환경이며, markdown 형식의 결과물을 제공합니다.
npx skills add https://github.com/deanpeters/product-manager-skills/tree/main/skills/company-researchInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
경영진 인용문, 제품 전략 및 조직 컨텍스트가 포함된 회사 리서치 브리프를 만듭니다. 면접 준비, 경쟁사 분석, 파트너십 또는 시장 진출 작업 시 사용하세요.
This repo contains 20 individual skills — each has its own dedicated page.
Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.
Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.
Understand the PM-to-Director transition through altitude and horizon thinking. Use when diagnosing scope, time-horizon, or leadership-level gaps.
Diagnose SaaS business health across growth, retention, efficiency, and capital. Use when preparing a business review or prioritizing urgent fixes.
Diagnose context stuffing vs. context engineering. Use when an AI workflow feels bloated, brittle, or hard to steer reliably.
Create a customer journey map across stages, touchpoints, actions, emotions, and metrics. Use when diagnosing a broken experience or aligning a team on the full customer flow.
Run a customer journey mapping workshop with adaptive questions and outputs. Use when you need to map stages, actions, emotions, pain points, and opportunities for a persona and scenario.
Guide the PM-to-Director transition across preparing, interviewing, landing, and recalibrating. Use when leadership scope is changing and you need practical coaching.
Plan customer discovery interviews with the right goal, segment, constraints, and method. Use when preparing interviews for problem validation, churn research, or new product ideas.
Run a full discovery cycle from problem hypothesis to validated solution. Use when a team needs a structured path through framing, interviews, synthesis, and experiments.
Write a clear, empathetic EOL announcement with rationale, customer impact, and next steps. Use when retiring a product, feature, or plan without creating avoidable confusion.
Break down epics into user stories with Humanizing Work split patterns. Use when a backlog item is too large to estimate, sequence, or deliver safely.
Frame an epic as a testable hypothesis with target user, expected outcome, and validation method. Use when defining a major initiative before roadmap, discovery, or delivery planning.
Plan a VP or CPO 30-60-90 day diagnostic onboarding path. Use when entering a new executive product role and avoiding premature change.
Evaluate feature investments using revenue impact, cost structure, ROI, and strategy. Use when deciding whether a feature deserves investment.
Evaluate pricing changes using ARPU, conversion, churn risk, NRR, and payback. Use when deciding whether a pricing move should ship.
Look up SaaS finance metrics, formulas, and benchmarks fast. Use when you need a quick metric definition, formula, or benchmark during analysis.
Uncover customer jobs, pains, and gains in a structured JTBD format. Use when clarifying unmet needs, repositioning a product, or improving discovery and messaging.
Guide teams through Lean UX Canvas v2. Use when framing a business problem, surfacing assumptions, and defining what to learn next.
Build an Opportunity Solution Tree from outcomes to opportunities, solutions, and tests. Use when a stakeholder request needs problem framing before you decide what to build.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.