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market-research-aggregator Market intelligence aggregation skill for synthesizing market data from multiple sources
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Baixar Zip Baixando... Mais deste repositório Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
assimilate-popular-workflows This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
Ocupações relacionadas SOC
Baseado na classificação ocupacional SOC
name market-research-aggregator description Market intelligence aggregation skill for synthesizing market data from multiple sources allowed-tools ["Read","Write","Glob","Grep","Bash"] metadata {"specialization":"decision-intelligence","domain":"business","category":"knowledge-management","priority":"medium","tools-libraries":["pandas","requests","custom integrations"]} graph {"domains":["domain:business-intelligence"],"skillAreas":["skill-area:market-research","skill-area:competitive-intelligence","skill-area:market-sizing"],"roles":["role:data-analyst","role:strategic-planner","role:marketing-strategist"]}
Market Research Aggregator
Overview
The Market Research Aggregator skill provides capabilities for collecting, synthesizing, and analyzing market intelligence from multiple sources. It enables systematic market sizing, trend identification, and opportunity assessment by combining data from various research providers and public sources.
Capabilities
Data source integration
Market size estimation (TAM, SAM, SOM)
Growth rate calculation
Trend identification
Segment analysis
Geographic breakdown
Confidence level assessment
Source citation management
Used By Processes
Market Sizing and Opportunity Assessment
Geographic Market Analysis
Industry Trend Analysis
Usage
Market Definition
market_definition = {
"name" : "Enterprise Project Management Software" ,
"description" : "Software solutions for managing projects, resources, and portfolios in large organizations" ,
"scope" : {
"product_types" : ["On-premise" , "Cloud-based" , "Hybrid" ],
"customer_segments" : ["Enterprise (>1000 employees)" ],
"excluded" : ["SMB solutions" , "Personal productivity tools" ]
},
"geographic_scope" : ["North America" , "Europe" , "Asia Pacific" ],
"time_frame" : {"historical" : "2019-2023" , "forecast" : "2024-2028" },
"currency" : "USD" ,
"units" : "Revenue"
}
Data Sources
data_sources = {
"primary_research" : [
{
"source" : "Gartner" ,
"report_name" : "Market Share: Enterprise Project Management Software" ,
"date" : "2024-01" ,
"data_type" : "market_share" ,
"reliability" : "high"
},
{
"source" : "IDC" ,
"report_name" : "Worldwide Project Management Software Forecast" ,
"date" : "2023-12" ,
"data_type" : "market_forecast" ,
"reliability" : "high"
}
],
"secondary_research" : [
{
"source" : "Industry Association Reports" ,
"reliability" : "medium"
},
{
"source" : "Company Annual Reports" ,
"reliability" : "high"
}
],
"public_data" : [
{
"source" : "Government Statistics" ,
"data_type" : "industry_employment" ,
"reliability" : "high"
}
]
}
Market Sizing (TAM/SAM/SOM)
market_sizing = {
"tam" : {
"definition" : "Total addressable market for all project management software globally" ,
"methodology" : "top_down" ,
"calculation" : {
"total_enterprises" : 500000 ,
"adoption_rate" : 0.85 ,
"average_spend" : 150000 ,
"result" : 63750000000
},
"sources" : ["Gartner" , "IDC" ],
"confidence" : "high"
},
"sam" : {
"definition" : "Serviceable addressable market in target geographies for enterprise segment" ,
"methodology" : "bottom_up" ,
"calculation" : {
"target_enterprises" : 75000 ,
"product_fit_rate" : 0.60 ,
"average_spend" : 200000 ,
"result" : 9000000000
},
"confidence" : "medium"
},
"som" : {
"definition" : "Serviceable obtainable market based on competitive position" ,
"methodology" : "competitive_analysis" ,
"calculation" : {
"sam" : 9000000000 ,
"realistic_share" : 0.05 ,
"result" : 450000000
},
"time_horizon" : "5 years" ,
"confidence" : "medium"
}
}
Trend Analysis
trend_analysis = {
"trends" : [
{
"name" : "AI-powered project management" ,
"direction" : "accelerating" ,
"impact" : "high" ,
"timeline" : "2024-2027" ,
"evidence" : [
"75% of vendors adding AI features" ,
"40% budget increase for AI capabilities"
],
"implications" : ["Feature differentiation" , "Pricing pressure" , "Skill requirements" ]
},
{
"name" : "Consolidation of point solutions" ,
"direction" : "steady" ,
"impact" : "medium" ,
"evidence" : ["M&A activity up 30%" , "Platform play preference" ]
}
],
"methodology" : "expert_consensus" ,
"update_frequency" : "quarterly"
}
Input Schema {
"operation" : "define|collect|size|analyze|report" ,
"market_definition" : {
"name" : "string" ,
"scope" : "object" ,
"geographic_scope" : [ "string" ] ,
"time_frame" : "object"
} ,
"data_sources" : {
"primary" : [ "object" ] ,
"secondary" : [ "object" ] ,
"public" : [ "object" ]
} ,
"analysis_request" : {
"type" : "sizing|trends|segments|geography|competitive" ,
"parameters" : "object"
}
}
Output Schema {
"market_overview" : {
"name" : "string" ,
"current_size" : "number" ,
"growth_rate" : "number" ,
"forecast_period" : "string"
} ,
"market_sizing" : {
"TAM" : { "value" : "number" , "confidence" : "string" } ,
"SAM" : { "value" : "number" , "confidence" : "string" } ,
"SOM" : { "value" : "number" , "confidence" : "string" }
} ,
"segments" : [
{
"name" : "string" ,
"size" : "number" ,
"growth_rate" : "number" ,
"share" : "number"
}
] ,
"trends" : [ "object" ] ,
"data_quality" : {
"sources_used" : "number" ,
"data_freshness" : "string" ,
"confidence_overall" : "string" ,
"gaps_identified" : [ "string" ]
} ,
"citations" : [ "object" ]
}
Market Sizing Methodologies Method Approach Best For Top-Down Start with total market, narrow down Mature markets with good data Bottom-Up Build from unit economics New markets, specific segments Value-Based Based on customer value delivered Innovative solutions Competitive Sum of competitor revenues Markets with public companies
Best Practices
Use multiple sources and methodologies
Clearly document assumptions
Indicate confidence levels for all estimates
Update market data at least quarterly
Triangulate from multiple approaches
Account for market definition differences across sources
Track methodology changes over time for comparability
Data Quality Assessment Dimension Assessment Criteria Accuracy Source reliability, methodology Completeness Coverage of market segments Timeliness Data recency Consistency Agreement across sources Relevance Alignment with market definition
Integration Points
Feeds into Market Intelligence Analyst agent
Connects with Competitive Intelligence Tracker for share data
Supports Time Series Forecaster for projections
Integrates with Decision Visualization for market maps
