Agent skill

Consulting Analysis

by HezaoHezao in HezaoHezao/poirot

Consulting-grade research reports: framework + final report.

MITAuto-check passedBusiness, Finance & HR

Install Consulting Analysis

skills CLI
$ npx skills add HezaoHezao/poirot --skill consulting-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HezaoHezao/poirot consulting-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HezaoHezao/poirot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/poirot/backend/agents/skill/builtin_skills/research/consulting-analysis .claude/skills/consulting-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
consulting-analysis
GitHub stars
249
Token cost
~1.8k tokens
SKILL.md length
623 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Consulting-grade research reports: framework + final report.

  • Works in 2 steps: Analysis Framework Generation → Report Generation
  • Tasks that involve Deep research
  • SKILL.md covers Overview, Data Authenticity Protocol, When to Use and Phase 1: Analysis Framework…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Consulting Analysis is an agent skill from HezaoHezao/poirot. Consulting-grade research reports: framework + final report.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Deep research and Market research. The repository describes itself as: Poirot is a deep research agent kernel built for those who care about how agents are architected. The licence is MIT.

When your agent uses it

  • Tasks that involve Deep research
  • Tasks that involve Market research

Example prompts

  • “/consulting-analysis”

Requirements

  • Pre-approved tools (allowed-tools): web_search, browse_page, write_file, present_files

Workflow steps

2 steps, taken from the step headings in SKILL.md.

  1. Analysis Framework Generation
  2. Report Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 86bf279. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • web_search
    • browse_page
    • write_file
    • present_files

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Consulting Analysis loads about 1.8k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 623 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from HezaoHezao/poirot at commit 86bf279, republished under its MIT licence (© HezaoHezao). 623 words, ~1,785 tokens.

Download SKILL.mdSave it as .claude/skills/consulting-analysis/SKILL.md (or your agent's skills folder).
name
consulting-analysis
description
Consulting-grade research reports: framework + final report.
allowed-tools
web_search, browse_page, write_file, present_files
enabled
true
related-skills
deep-research, data-analysis
license
MIT
author
Adapted from deer-flow (Bytedance, MIT)

Consulting Analysis

Overview

Produces professional, consulting-grade research reports in Markdown, covering market analysis, consumer insights, brand strategy, financial analysis, industry research, competitive intelligence, and investment due diligence.

Operates in two phases:

  1. Phase 1 — Analysis Framework: chapter skeleton, data requirements, visualization plan
  2. Phase 2 — Report Generation: synthesize collected data into final report

Output adheres to McKinsey/BCG consulting voice standards.

Data Authenticity Protocol

All data in the report MUST derive from provided Data Summary or External Search Findings. No hallucinations. If data is missing, state "Data not available" rather than fabricating numbers. Every major claim must be traceable to input data.

When to Use

  • User asks for market analysis, consumer insight report, financial analysis, industry research, or any consulting-grade analytical report
  • User provides a research subject and needs a structured framework
  • User provides data summaries to synthesize into a report

Phase 1: Analysis Framework Generation

Step 1.1: Identify Domain & Dimensions
DomainTypical Dimensions
Market AnalysisMarket size, growth, segmentation, drivers, competition
Brand AnalysisPositioning, share, perception, strategy
Consumer InsightsDemographics, behavior, decision journey, pain points
Financial AnalysisMacro, industry, fundamentals, metrics, valuation
Industry ResearchValue chain, market size, competition, policy, tech
Investment DDBusiness model, financials, management, opportunity, risk
Competitive IntelCompetitor ID, comparison, SWOT, positioning
Step 1.2: Select Frameworks

Select 2-4 complementary frameworks per domain:

CategoryFrameworks
StrategicSWOT, PESTEL, Porter's Five Forces, VRIO
Market & GrowthSTP, BCG Matrix, Ansoff, TAM-SAM-SOM, PLC
ConsumerDecision Journey, AARRR, RFM, JTBD
FinancialDuPont, DCF, Comparable Company, EVA
CompetitiveBenchmarking, Value Chain, Blue Ocean, Perceptual Mapping
IndustryGartner Hype Cycle, GE-McKinsey Matrix

Selection principles: domain-first, complementary not overlapping, depth over breadth, data-feasible, explicitly mapped to chapters.

Step 1.3: Chapter Skeleton

Each chapter must include:

  1. Chapter Title — professional, concise, subject-based
  2. Analysis Objective — what this chapter reveals
  3. Analysis Logic — framework or reasoning chain
  4. Core Hypothesis — to validate or refute
Step 1.4: Data Requirements Per Chapter
FieldDescription
Data MetricSpecific metric needed
Data TypeQuantitative / Qualitative / Mixed
Suggested SourcesIndustry reports, gov stats, social media, etc.
Search KeywordsQueries for data collection
PriorityP0 (Required) / P1 (Important) / P2 (Supplementary)
Time RangePeriod data should cover
Step 1.5: Visualization Plan Per Chapter
FieldDescription
Chart TypeLine, bar, pie, scatter, radar, heatmap, table
Chart TitleDescriptive title
Data MappingWhich metrics map to axes/segments
Argument Structure"What → Why → So What" narrative outline
Show full SKILL.md (233 more words)Show less
Step 1.6: Output Framework
markdown
# [Research Subject] Analysis Framework

## Research Overview
- **Research Subject**: [...]
- **Scope**: [Geography, time range, segment]
- **Analysis Domain**: [Market / Finance / Industry / ...]
- **Core Research Questions**: [1-3 key questions]

## Framework Selection
| Chapter | Selected Framework(s) | Application |
|---------|----------------------|-------------|

## Chapter Skeleton
### 1. [Chapter Title]
- **Analysis Objective**: [...]
- **Analysis Logic**: [...]
- **Core Hypothesis**: [...]
#### Data Requirements
| # | Metric | Type | Sources | Keywords | Priority | Time |
#### Visualization & Content Plan
[Chart plan + table design + argument structure]

## Data Collection Task List
[Consolidated P0/P1 tasks for downstream data collection]

Phase 2: Report Generation

After data collection (by deep-research or other skills), synthesize into final report.

Step 2.1: Validate Inputs

Confirm Analysis Framework + Data Summary present. Flag missing P0 data.

Step 2.2: Write Report

For each sub-chapter, follow "Visual Anchor → Data Contrast → Integrated Analysis":

  1. Visual Evidence: comparison tables (charts if available)
  2. Data Contrast: Markdown table of key metrics
  3. Integrated Narrative: "What → Why → So What" (min 200 words)

Each insight must connect Data → User Psychology → Strategy Implication:

❌ Bad: "Females are 60%. Strategy: Target females."
✅ Good: "Females constitute 60% with high TGI. This suggests purchase is
   driven by aesthetic validation. Consequently, media spend should pivot
   to visual-heavy platforms."
Step 2.3: Report Structure
markdown
# [Report Title]

## Abstract
[Executive summary with key takeaways]

## 1. Introduction
[Background, objectives, methodology]

## 2. [Body Chapter]
### 2.1 [Sub-chapter]
| Metric | Brand A | Brand B |
[Integrated narrative: What → Why → So What, min 200 words]

## N+1. Conclusion
[Pure objective synthesis, NO bullet points, neutral tone]

## N+2. References
[Formatted references]

Formatting Standards

  • Tone: McKinsey/BCG — authoritative, objective, professional
  • Number formatting: English commas (1,000 not 1,000)
  • Titling: standard numbering (1., 1.1), no "Chapter/Part/Section" prefixes
  • Forbidden words: "Decoding", "DNA", "Secrets", "Unlocking"
  • No horizontal rules (---)
  • Conclusion: flowing prose, NO bullet points

Quality Checklist

Phase 1
  • Framework covers all natural dimensions for the domain
  • 2-4 complementary frameworks selected and mapped to chapters
  • Each chapter has Objective, Logic, Hypothesis
  • Data requirements specific with search keywords
  • Every chapter has a visualization plan
  • P0/P1/P2 priorities assigned
Phase 2
  • NO HALLUCINATION: all numbers traceable to Data Summary
  • All sections in order (Abstract → Intro → Body → Conclusion → References)
  • Every sub-chapter follows "Visual Anchor → Data Contrast → Analysis"
  • Every sub-chapter ends with min 200-word analytical paragraph
  • Insights follow "Data → Psychology → Strategy" chain
  • Conclusion is flowing prose, no bullets
  • Missing P0 data explicitly flagged

Output

  • Phase 1: Analysis Framework in Markdown
  • Phase 2: Final Report in Markdown, saved to .poirot/outputs/

© HezaoHezao, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in poirot/backend/agents/skill/builtin_skills/research/consulting-analysis of HezaoHezao/poirot.

Open the folder on GitHubat commit 86bf279

Compare with similar skills

Consulting Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Consulting Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Consulting Analysis this skillHezaoHezao/poirot249—~1.8kAutomated safety check: PassMIT
Consulting Analysisbytedance/deer-flow84k4 repos~8.4kAutomated safety check: PassMIT
China Market Open Data SearchOpenSenseNova/SenseNova-Skills5.7k—~954Automated safety check: NotesMIT
Manussanjay3290/ai-skills432—~1.7kAutomated safety check: PassApache-2.0
Reddit Insightslignertys/reddit-research-skills14—~2.2kAutomated safety check: WarnMIT
Bmad Deep Recondelorenj/mcp-server-trello445—~2.3kAutomated safety check: PassMIT

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Questions about Consulting Analysis

What does Consulting Analysis do?

Consulting-grade research reports: framework + final report. Consulting Analysis is an agent skill from HezaoHezao/poirot. Consulting-grade research reports: framework + final report.

When should I use Consulting Analysis?

Consulting Analysis fits situations like: tasks that involve Deep research; tasks that involve Market research.

How do I install Consulting Analysis in Claude Code?

Run `npx skills add HezaoHezao/poirot --skill consulting-analysis -a claude-code`. Or copy the skill folder (poirot/backend/agents/skill/builtin_skills/research/consulting-analysis in HezaoHezao/poirot) into .claude/skills/consulting-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Consulting Analysis in Codex?

Run `npx skills add HezaoHezao/poirot --skill consulting-analysis -a codex`. Or copy the skill folder (poirot/backend/agents/skill/builtin_skills/research/consulting-analysis in HezaoHezao/poirot) into .agents/skills/consulting-analysis in your project. Codex loads it when a task matches its description.

Can I use Consulting Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HezaoHezao/poirot --skill consulting-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/consulting-analysis, .gemini/skills/consulting-analysis, .github/skills/consulting-analysis and .opencode/skills/consulting-analysis in your project.

What does Consulting Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Consulting Analysis is instructions for the agent only. Its frontmatter pre-approves these tools: web_search, browse_page, write_file, present_files.

Does Consulting Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Consulting Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Consulting Analysis use?

Consulting Analysis is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Consulting Analysis use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Consulting Analysis?

Skills that share tags, products or a category with Consulting Analysis: Consulting Analysis (bytedance/deer-flow, 84k stars), China Market Open Data Search (OpenSenseNova/SenseNova-Skills, 5.7k stars), Manus (sanjay3290/ai-skills, 432 stars) and Reddit Insights (lignertys/reddit-research-skills, 14 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Consulting Analysis?

HezaoHezao (a GitHub user) maintains it in HezaoHezao/poirot, which has 249 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on July 28, 2026.

Source: HezaoHezao/poirot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.