consulting-analysis

Name: consulting-analysis
Author: OpsinTech

91stars18forks

How to install consulting-analysis?

opsintech/opsintech-platform/consulting-analysis

$npx -y skills add OpsinTech/opsintech-platform --skill consulting-analysis

Installs into the current project.

Summary

Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any con

Files · 1

View on GitHub

SKILL.md

1	# Professional Research Report Skill
2
3	## Overview
4
5	This skill produces professional, consulting-grade research reports in Markdown format, covering domains such as market analysis, consumer insights, brand strategy, financial analysis, industry research, competitive intelligence, investment research, and macroeconomic analysis. It operates across two distinct phases:
6
7	1. Phase 1 — Analysis Framework Generation (第一阶段：分析框架生成): Given a research subject, produce a rigorous analysis framework including chapter skeleton, per-chapter data requirements, analysis logic, and visualization plan.
8	2. Phase 2 — Report Generation (第二阶段：报告生成): After data has been collected by other skills, synthesize all inputs into a final polished report.
9
10	The output adheres to McKinsey/BCG consulting voice standards. The report language, plan steps, and phase names (e.g. use "第一阶段", "第二阶段" instead of "Phase 1", "Phase 2") follow the `output_locale` setting (default: `zh_CN` for Chinese).
11
12	## Data Authenticity Protocol
13
14	Strict Adherence Rule: All data presented in the report and visualized in charts MUST be derived directly from the provided Data Summary or External Search Findings.
15	- NO Hallucinations: Do not invent, estimate, or simulate data. If data is missing, state "Data not available" rather than fabricating numbers.
16	- Traceable Sources: Every major claim and chart must be traceable back to the input data package.
17
18	## Core Capabilities
19
20	- Design analysis frameworks from scratch given only a research subject and scope
21	- Transform raw data into structured, high-depth research reports
22	- Follow the "Visual Anchor → Data Contrast → Integrated Analysis" flow per sub-chapter
23	- Produce insights following the "Data → User Psychology → Strategy Implication" chain
24	- Embed pre-generated charts and construct comparison tables
25	- Generate inline citations formatted per GB/T 7714-2015 standards
26	- Output reports in the language specified by `output_locale` with professional consulting tone
27	- Adapt analytical depth and structure to domain (marketing, finance, industry, etc.)
28
29	## When to Use This Skill
30
31	Always load this skill when:
32
33	- User asks for a market analysis, consumer insight report, financial analysis, industry research, or any consulting-grade analytical report
34	- User provides a research subject and needs a structured analysis framework before data collection
35	- User provides data summaries, analysis frameworks, or chart files to be synthesized into a report
36	- User needs a professional consulting-style research report
37	- The task involves transforming research findings into structured strategic narratives
38
39	---
40
41	# Phase 1: Analysis Framework Generation (第一阶段：分析框架生成)
42
43	## Purpose
44
45	Given a research subject (e.g., "Gen-Z Skincare Market Analysis", "NEV Industry Competitive Landscape", "Brand X Consumer Profiling"), produce a complete analysis framework that serves as the blueprint for downstream data collection and final report generation.
46
47	## Phase 1 Inputs
48
49	\| Input \| Description \| Required \|
50	\|-------\|-------------\|----------\|
51	\| Research Subject \| The topic or question to be analyzed \| Yes \|
52	\| Scope / Constraints \| Geographic scope, time range, industry segment, target audience, etc. \| Optional \|
53	\| Specific Angles \| Any particular angles or hypotheses the user wants explored \| Optional \|
54	\| Domain \| The analytical domain: market, finance, industry, brand, consumer, investment, etc. \| Inferred \|
55
56	## Phase 1 Workflow
57
58	### Step 1.1: Understand the Research Subject
59
60	- Parse the research subject to identify the core entity (market, brand, product, industry, consumer segment, financial instrument, etc.)
61	- Identify the analytical domain (marketing, finance, industry, competitive, consumer, investment, macro, etc.)
62	- Determine the natural analytical dimensions based on domain:
63
64	\| Domain \| Typical Dimensions \|
65	\|--------\|--------------------\|
66	\| Market Analysis \| Market size, growth trends, market segmentation, growth drivers, competitive landscape, consumer profiling \|
67	\| Brand Analysis \| Brand positioning, market share, consumer perception, marketing strategy, competitor comparison \|
68	\| Consumer Insights \| Demographic profiling, purchase behavior, decision journey, pain points, scenario analysis \|
69	\| Financial An

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Type

consulting-analysis

91stars18forks

View on GitHub

How to install consulting-analysis?

opsintech/opsintech-platform/consulting-analysis

$npx -y skills add OpsinTech/opsintech-platform --skill consulting-analysis

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Professional Research Report Skill
2
3	## Overview
4
5	This skill produces professional, consulting-grade research reports in Markdown format, covering domains such as market analysis, consumer insights, brand strategy, financial analysis, industry research, competitive intelligence, investment research, and macroeconomic analysis. It operates across two distinct phases:
6
7	1. Phase 1 — Analysis Framework Generation (第一阶段：分析框架生成): Given a research subject, produce a rigorous analysis framework including chapter skeleton, per-chapter data requirements, analysis logic, and visualization plan.
8	2. Phase 2 — Report Generation (第二阶段：报告生成): After data has been collected by other skills, synthesize all inputs into a final polished report.
9
10	The output adheres to McKinsey/BCG consulting voice standards. The report language, plan steps, and phase names (e.g. use "第一阶段", "第二阶段" instead of "Phase 1", "Phase 2") follow the `output_locale` setting (default: `zh_CN` for Chinese).
11
12	## Data Authenticity Protocol
13
14	Strict Adherence Rule: All data presented in the report and visualized in charts MUST be derived directly from the provided Data Summary or External Search Findings.
15	- NO Hallucinations: Do not invent, estimate, or simulate data. If data is missing, state "Data not available" rather than fabricating numbers.
16	- Traceable Sources: Every major claim and chart must be traceable back to the input data package.
17
18	## Core Capabilities
19
20	- Design analysis frameworks from scratch given only a research subject and scope
21	- Transform raw data into structured, high-depth research reports
22	- Follow the "Visual Anchor → Data Contrast → Integrated Analysis" flow per sub-chapter
23	- Produce insights following the "Data → User Psychology → Strategy Implication" chain
24	- Embed pre-generated charts and construct comparison tables
25	- Generate inline citations formatted per GB/T 7714-2015 standards
26	- Output reports in the language specified by `output_locale` with professional consulting tone
27	- Adapt analytical depth and structure to domain (marketing, finance, industry, etc.)
28
29	## When to Use This Skill
30
31	Always load this skill when:
32
33	- User asks for a market analysis, consumer insight report, financial analysis, industry research, or any consulting-grade analytical report
34	- User provides a research subject and needs a structured analysis framework before data collection
35	- User provides data summaries, analysis frameworks, or chart files to be synthesized into a report
36	- User needs a professional consulting-style research report
37	- The task involves transforming research findings into structured strategic narratives
38
39	---
40
41	# Phase 1: Analysis Framework Generation (第一阶段：分析框架生成)
42
43	## Purpose
44
45	Given a research subject (e.g., "Gen-Z Skincare Market Analysis", "NEV Industry Competitive Landscape", "Brand X Consumer Profiling"), produce a complete analysis framework that serves as the blueprint for downstream data collection and final report generation.
46
47	## Phase 1 Inputs
48
49	\| Input \| Description \| Required \|
50	\|-------\|-------------\|----------\|
51	\| Research Subject \| The topic or question to be analyzed \| Yes \|
52	\| Scope / Constraints \| Geographic scope, time range, industry segment, target audience, etc. \| Optional \|
53	\| Specific Angles \| Any particular angles or hypotheses the user wants explored \| Optional \|
54	\| Domain \| The analytical domain: market, finance, industry, brand, consumer, investment, etc. \| Inferred \|
55
56	## Phase 1 Workflow
57
58	### Step 1.1: Understand the Research Subject
59
60	- Parse the research subject to identify the core entity (market, brand, product, industry, consumer segment, financial instrument, etc.)
61	- Identify the analytical domain (marketing, finance, industry, competitive, consumer, investment, macro, etc.)
62	- Determine the natural analytical dimensions based on domain:
63
64	\| Domain \| Typical Dimensions \|
65	\|--------\|--------------------\|
66	\| Market Analysis \| Market size, growth trends, market segmentation, growth drivers, competitive landscape, consumer profiling \|
67	\| Brand Analysis \| Brand positioning, market share, consumer perception, marketing strategy, competitor comparison \|
68	\| Consumer Insights \| Demographic profiling, purchase behavior, decision journey, pain points, scenario analysis \|
69	\| Financial An

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6 picks

Type