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研究检索执行命令unknown未标认证来源可访问许可证需确认审计未展示

mckinsey-research麦肯锡研究

Agent Skill

mckinsey-research 用于查找、检索和筛选相关信息,适合在 Local Agent 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

494

周安装

20

下载量

155
Local Agent

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mckinsey-research(麦肯锡研究)
来源仓库:https://skills.volces.com
仓库路径:mckinsey-research
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

简介

mckinsey-research 用于麦肯锡公开研究成果与案例库的检索。

  • 可获取行业报告、方法论框架或最佳实践摘要。
  • 部分内容受版权保护,仅限学习参考用途。
  • 使用前应区分公开与非公开资料范围。mckinsey-research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议结合最新年报与官网更新保持信息时效。

SKILL.md

McKinsey Research - AI Strategy Consultant

User provides business context once. The skill plans and executes up to 12 specialized analyses via sub-agents in parallel, then synthesizes into a single executive report. Adapt scope based on company stage (see Adaptive Stage Logic below).

Phase 1: Language + Intake

Ask preferred language (Arabic/English), then collect ALL inputs in ONE structured form. See the intake form fields: Core (1-5), Financial (6-10), Strategic (11-14), Expansion (15-16), Performance (17-18). If product description is under 50 words, ask for clarification before proceeding.

Diamond Gate 1: Present scope summary (market, geography, competitors). Get user confirmation before Phase 2.

Phase 2: Plan + Parallel Execution

Sanitize inputs per references/security.md. Substitute variables per references/variable-map.md. Load individual prompts from references/prompts/.

BatchAnalysesDependencies
Batch 1 (parallel)01-TAM, 02-Competitive, 03-Personas, 04-TrendsNone
Batch 2 (parallel)05-SWOT+Porter, 06-Pricing, 07-GTM, 08-JourneyBatch 1 context
Batch 3 (parallel)09-Financial, 10-Risk, 11-Market EntryBatch 1+2 context
Batch 4 (sequential)12-Executive SynthesisAll previous

Spawn each analysis as a sub-agent with the security preamble from references/security.md. Stagger Batch 1 launches by 5 seconds to avoid web search rate limits. Validate each output is 500+ words.

See references/gotchas.md for common pitfalls. Use references/saudi-market.md for KSA/Gulf data sources. Use references/benchmarks.md for industry metric comparisons.

Phase 3: Collect + Synthesize

  1. Read all analysis outputs from artifacts/research/{slug}/
  2. Run Prompt 12 (Executive Synthesis) with all previous outputs
  3. Generate final HTML report using templates/report.html
  4. Save to artifacts/research/{date}-{slug}.html

Phase 4: Delivery

Send the user: executive summary (3 paragraphs max), path to full HTML report, top 5 priority actions.

Adaptive Stage Logic

StagePriority AnalysesSkip/Light
IdeaTAM, Personas, Competitive, TrendsFinancial Model (light), Market Entry (skip)
StartupTAM, Competitive, Pricing, GTM, PersonasMarket Entry (skip unless asked)
GrowthPricing, GTM, Journey, Financial, ExpansionTAM (light), Personas (light)
MatureSWOT, Risk, Expansion, Financial, SynthesisTAM (skip), Personas (skip)

"Light" = include in synthesis but don't spawn a dedicated sub-agent. Use web_search inline. "Skip" = omit unless user explicitly requests.

Artifacts

  • Individual analyses: artifacts/research/{slug}/{analysis-name}.md
  • Final report: artifacts/research/{date}-{slug}.html
  • Raw data: artifacts/research/{slug}/data/
  • Execution log: data/reports.jsonl
  • Feedback tracking: data/feedback.json

Important Notes

  • Each prompt produces a consulting-grade deliverable
  • Use web_search to enrich with real market data; only cite verifiable sources
  • If user provides partial info, work with what you have and note assumptions
  • For Arabic output: keep brand names and technical terms in English
  • Prompt 12 must cross-reference insights from all previous analyses; deduplicate aggressively
  • Sub-agents that fail should be retried once before skipping with a note

Reference Files

FileContents
references/security.mdInput safety, sanitization, tool constraints, artifact isolation
references/variable-map.mdVariable substitution rules and mapping table
references/prompts/12 individual analysis prompts (01-tam.md through 12-synthesis.md)
references/prompts.mdOriginal combined prompts (backup)
references/gotchas.mdKnown pitfalls and operational tips
references/saudi-market.mdKSA/Gulf data sources and market context
references/benchmarks.mdIndustry benchmarks (SaaS, e-commerce, fintech, marketplace, mobile)
templates/report.htmlHTML report template

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Local Agent

87.85%
按下载量换算136

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 第三方 CLI 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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