| name | competitive-analysis |
|---|---|
| description | Game industry competitive analysis framework for product managers. Provides structured methodologies for analyzing competing games, studios, and market positioning. Use when: (1) mapping the competitive landscape for a game genre or product, (2) building feature comparison matrices across competing titles, (3) analyzing positioning, monetization, or UA strategy differences, (4) conducting win/loss analysis on player acquisition and churn, (5) identifying market trends, genre shifts, and platform changes, (6) creating competitive intelligence briefs with web research. Triggers: "competitive analysis", "competitor research", "竞品分析", "竞争对手", "竞品调研", "市场分析", "competitor comparison", "market positioning", "feature matrix", "win loss analysis", "genre analysis", "品类分析", "竞品报告", "市场调研", "对标分析" |
A structured competitive analysis system designed for game product managers (游戏产品负责人). Provides frameworks for landscape mapping, feature comparison, positioning analysis, win/loss methodology, and market trend identification — all adapted for the game industry context.
Progressive Disclosure: This file is a routing index. Each section's full frameworks, templates, and examples are in
references/files. Load the relevant file when a section is needed.
| # | Section | Description | Reference File |
|---|---|---|---|
| 1 | Competitive Landscape Mapping | Map competitors into 4 tiers (direct, indirect, adjacent, substitute) with 2x2 visual maps | references/landscape.md |
| 2 | Feature Comparison Matrix | Rate competitors across gameplay, art, monetization, UA, and technical dimensions (1-5 scale) | references/feature-matrix.md |
| 3 | Positioning Analysis | Profile competitor positioning (persona, genre, value prop, app store, UA) and find open territory | references/positioning.md |
| 4 | Win/Loss Analysis | Analyze why players choose/leave at each stage: awareness → install → retention → conversion → loyalty | references/win-loss.md |
| 5 | Market Trends & Data Sources | Identify genre, platform, monetization, and behavior trends; comprehensive data source guide | references/market-trends.md |
| 6 | /competitive-brief Workflow | End-to-end workflow for producing competitive intelligence briefs (inline below) | — |
| 7 | Templates & Specialized Frameworks | Quick profiles, UA/monetization/overlap templates, LiveOps, ad creative teardown, retention-monetization trade-off, China market, competitor response modeling | references/templates.md |
Categorize competitors into Direct / Indirect / Adjacent / Substitute tiers. Create 2x2 positioning maps along strategic dimensions (e.g., production value vs accessibility, PvP vs PvE focus).
→ Load references/landscape.md for full framework, mapping process, and output templates.
Rate competitors 1-5 across: Core Gameplay, Art & Production, Monetization, UA & Retention, Platform & Technical. Generate strength maps, vulnerability maps, parity zones, and differentiation opportunities.
→ Load references/feature-matrix.md for rating scale, all comparison tables, and interpretation guide.
Build positioning profiles (target persona, genre, value prop, app store, brand, monetization, UA) for each competitor. Create positioning maps and identify open territory gaps.
→ Load references/positioning.md for full profile template, positioning map examples, and gap analysis.
Track competitive wins and losses across 6 stages (awareness → advocacy). Collect data on why players choose, stay, and leave. Calculate competitive win rates by segment.
→ Load references/win-loss.md for win/loss stages, data collection templates, and scoring dashboards.
Identify trends across 5 categories: genre, platform, monetization, player behavior, market structure. Includes web research guide, data source catalog (free/freemium/paid/China-specific), and accuracy caveats.
→ Load references/market-trends.md for trend analysis templates, prioritization matrix, source tables, and freshness warnings.
When the user requests a competitive brief (via /competitive-brief or asks for a competitive analysis report), follow this 4-phase workflow.
Ask or infer:
- What is your game/product? (Genre, platform, target audience)
- Analysis goal: (a) Full landscape, (b) Deep dive on specific competitors, (c) Trend/opportunity, (d) Pre-launch positioning
- Which competitors? (named or "find top competitors for me")
- Time frame? (snapshot / historical / forward-looking)
- Specific concerns? (e.g., "new competitor launched", "retention dropping")
Use WebSearch systematically across these categories:
- Market & Revenue:
"[game] revenue 2026 SensorTower","[genre] top grossing [region] 2026" - Product & Features:
"[game] latest update patch notes","[game] player complaints reddit" - UA & Marketing:
"[game] advertising campaign creative 2026","[game] ASO keywords" - Studio & Business:
"[studio] funding acquisition 2026","[genre] new games launching 2026" - China Market (if relevant):
"[游戏名] 流水 月收入 2026","[游戏名] TapTap 评分"
| Goal | Primary Frameworks | Deliverable Focus |
|---|---|---|
| Full landscape | Landscape Mapping + Feature Matrix | Broad competitor map with categorization |
| Deep dive | Feature Matrix + Positioning + Win/Loss | Detailed 1:1 comparison with actionable gaps |
| Trend analysis | Trend Identification + Positioning | Forward-looking strategic recommendations |
| Pre-launch | All frameworks | Go/no-go competitive readiness assessment |
Structure the final output as:
# Competitive Brief: [Your Game] vs [Market/Competitors]
**Date**: YYYY-MM-DD | **Scope**: [Full landscape / Deep dive / Trend / Pre-launch]
## Executive Summary (管理摘要)
- [3-5 bullet points: key findings and recommended actions]
## Competitive Landscape (竞争格局)
- [Landscape map and competitor categorization]
## Feature Comparison (功能对比)
- [Feature matrix with ratings, strength/vulnerability analysis]
## Positioning Analysis (定位分析)
- [Positioning map, open territory identification]
## Win/Loss Insights (得失分析)
- [Key competitive dynamics, player flow patterns]
## Market Trends (市场趋势)
- [Relevant trends and implications]
## Strategic Recommendations (战略建议)
1. **Immediate** (0-3 months): [Actions]
2. **Near-term** (3-6 months): [Actions]
3. **Strategic** (6-12 months): [Actions]
## Data Sources & Confidence
| Data Point | Source | Confidence | Last Updated |
|-----------|--------|-----------|-------------|
## Appendix
- [Raw data tables, additional competitor profiles]The references/templates.md file contains all reusable templates and specialized analysis frameworks:
- Quick Competitor Profile Card — rapid competitor documentation
- UA Strategy Comparison — channel, budget, creative, CPI benchmarks
- Monetization Comparison — models, ARPPU, whale ceiling, F2P friendliness
- Player Overlap Analysis — demographic and regional overlap estimates
- App Store Positioning — ASO, screenshots, ratings, review themes
- LiveOps Comparison — event cadence, battle pass, LTOs, server management
- Ad Creative Teardown — creative taxonomy, per-creative analysis, platform fit, fake ad strategy
- Retention vs Monetization Trade-off — ARPDAU/D30 framework, LTV decomposition, break-even analysis
- China Market Analysis — ISBN/版号, distribution, marketing channels, regulatory comparison
- Competitor Response Modeling — scenario planning, response patterns, pre-mortem, counter-strategy playbook
→ Load references/templates.md for all templates and frameworks.
- This skill is a methodology and framework reference. It does not execute scripts or call APIs.
- For actual data gathering, use the WebSearch tool to search for market data, app store information, and competitor intelligence.
- Combine this skill with the slg-project-evaluator skill when evaluating SLG-specific competitive dynamics.
- All templates can be adapted — add or remove rows/columns based on what matters most for your specific analysis.