Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
anthropics avatar

Competitive Analysis

  • 1 installs
  • 34k repo stars
  • Updated August 4, 2026
  • anthropics/financial-services

This is a copy of competitive-analysis by anthropics - installs and ranking accrue to the original listing.

Competitive-analysis is a Claude skill that builds competitive landscape and peer-comparison presentation decks for market positioning and investment memos.

About

This Claude skill builds competitive landscape and peer-comparison presentation decks. A developer or analyst invokes it to map an industry's competitors, benchmark a target against peers, and produce an investment-memo or strategic-review deck. It runs a scope-then-outline-then-build workflow and enforces citation and design standards throughout.

  • Two-phase workflow: scope and approve outline before building any slides
  • Builds 10-20 slide competitive landscape decks (.pptx or PowerPoint add-in)
  • Enforces source-quality hierarchy from 10-Ks down to news

Competitive Analysis by the numbers

  • 1 all-time installs (skills.sh)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

competitive-analysis capabilities & compatibility

Capabilities
comps analysis · deck refresh · dcf model
Use cases
research · presentations · data analysis
Pricing
Free
From the docs

What competitive-analysis says it does

Build a complete competitive analysis deck. This is a two-phase process: gather requirements and get outline approval first, then build.
SKILL.md
A competitive deck is 10-20 slides of interlocking content — rebuilding because slide 4 was wrong is expensive.
SKILL.md
npx skills add https://github.com/anthropics/financial-services --skill competitive-analysis

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs1
repo stars34k
Last updatedAugust 4, 2026
Repositoryanthropics/financial-services

What it does

Build a competitive landscape or peer-benchmarking deck for an industry or investment thesis.

Who is it for?

Analysts building competitor market maps, peer benchmarking decks, or investment-memo competitive sections

Skip if: Simple single-metric lookups or non-presentation research tasks

When should I use this skill?

The user asks for a competitive landscape, competitor analysis, peer comparison, market map, or investment-memo deck

What you get

A scoped, outline-approved competitive deck with cited data and consistent design.

  • competitive landscape deck
  • peer benchmarking slides
  • market positioning visualization

By the numbers

  • 10-20 slide competitive deck
  • 5-tier source-quality hierarchy

Files

SKILL.mdMarkdownGitHub ↗

Competitive Landscape Mapping

Build a complete competitive analysis deck. This is a two-phase process: gather requirements and get outline approval first, then build.

Environment check

This skill works in both the PowerPoint add-in and chat. Identify which you're in before starting — the mechanics differ, the workflow doesn't:

  • Add-in — the deck is open live; build slides directly into it.
  • Chat — generate a .pptx file (or build into one the user uploaded).

Everything below applies in both.

Phase 1 — Scope the analysis

Competitive analysis means different things to different people. Before any research or slide-building, use ask_user_question to pin down what they actually want. Don't guess — a 20-slide peer benchmarking deck and a 5-slide market map are both "competitive analysis" and take completely different shapes.

Gather in one round if you can (the tool takes up to 4 questions):

  • Scope — Single target company with competitors around it? Or multi-company side-by-side with no protagonist?
  • Competitor set — Which companies are in scope? If the user names them, use exactly those. If they say "the usual suspects," propose a set and confirm.
  • Audience and depth — Quick read for someone already in the space, or a full primer? This drives whether you need market sizing, industry economics, and history — or can skip to the comparison.
  • Investment context — Do they need bull/base/bear scenarios and signposts? That's Step 9 below; skip it if this is a strategic review rather than an investment thesis.

If they've uploaded an Excel/CSV with competitor data, confirm which columns map to which metrics before you start pulling numbers. Source-file fidelity matters: use values exactly as given, don't recalculate or re-round.

Phase 2 — Outline, approve, then build

Do not create slides until the outline is approved. Propose slide titles and one-line content notes, present them to the user, get a yes. A competitive deck is 10-20 slides of interlocking content — rebuilding because slide 4 was wrong is expensive. The outline is the cheap iteration point.

When proposing the outline, ask_user_question works well for the structural decisions: which positioning visualization (2×2 matrix / radar / tier diagram — Step 5 below), how to group competitors (by business model / segment / posture — Step 4). These are taste calls the user likely has an opinion on.

---

Standards — apply throughout

Prompt fidelity

When the user specifies something, that's a requirement, not a suggestion:

  • Slide titles and section names — exact wording. If they say "Overview and Competitive Scope," don't swap in "FY2024 Competitive Landscape."
  • Chart vs. table — not interchangeable. "Embedded chart" means a real chart object with data labels on the bars/slices, not a formatted table.
  • Complete data series — if they list 7 competitors, include all 7. If they show 2015-2025, include every year.
  • Exact values and ratios — "surpasses DoorDash 4:1, Lyft 8:1" means those ratios, not "7.6x Lyft."

Source quality, when sources conflict

1. 10-Ks / annual reports (audited) 2. Earnings calls / investor presentations (management commentary) 3. Sell-side research (analyst estimates, useful for private company sizing) 4. Industry reports (McKinsey, Gartner — market sizing, trends) 5. News (recent developments only; verify against primary sources)

Data comparability

  • All competitor metrics from the same fiscal year; flag exceptions explicitly ("FY24" vs "H1 2024")
  • Same metric definitions across competitors
  • Convert to USD for international; note the exchange rate and date
  • Missing data shows as "-" or "N/A" with an "[E]" flag for estimates — never blank
  • Every number has a citation: "[Company] [Document] ([Date])"

Design

  • Slide titles are insights, not labels. "Scale leaders pulling away from niche players" — not "Competitive Analysis."
  • Signposts are quantified. "Margin below 40%" — not "margins decline."
  • Ratings show the actual. "●●● $160B" — not just "●●●."
  • Charts are real chart objects — not text tables dressed up to look like charts.

Typography — set explicitly, don't rely on defaults:

  • Slide titles: 28-32pt bold
  • Section headers: 18-20pt bold
  • Body text: 14-16pt (never below 14pt)
  • Table text: 14pt
  • Sources/footnotes: 14pt, gray
  • Same element type = same size throughout the deck

Charts:

  • Legend inside the chart boundary, not floating over the plot area
  • Right-side legend for pies (≤6 slices), bottom legend for line/bar (≤4 series)
  • More than 6 series → split into multiple charts or use a table
  • Pie charts show percentages on slices, not just in the legend

Tables:

  • Light gray header row, bold
  • Right-align numbers, left-align text
  • Enough cell padding that text doesn't touch borders

Color: 2-3 colors max. Muted — navy, gray, one accent. Same color meanings throughout.

What's strict vs. flexible

AlwaysCase-by-case
Exact titles/sections when user specifiesCreative titles when they don't
Chart when user says chart; table when they say tableVisualization type when unspecified
Every competitor/data point they listNumber of competitors when unspecified
Exact values when specifiedRounding when precision unspecified
Titles fit without overflowNumber of competitor categories
No overlapping elementsWhich dimensions to compare

---

Analysis workflow

Step 0 — Industry-defining metrics

Before anything else: what 3-5 metrics does this industry actually run on? Use these consistently across every competitor.

IndustryKey metrics
SaaSARR, NRR, CAC payback, LTV/CAC, Rule of 40
PaymentsGPV, take rate, attach rate, transaction margin
MarketplacesGMV, take rate, buyer/seller ratio, repeat rate
RetailSame-store sales, inventory turns, sales per sq ft
LogisticsVolume, cost per unit, on-time delivery %, capacity utilization

Industry not listed — pick the metrics investors and operators benchmark on.

Step 1 — Market context

Size, growth, drivers, headwinds. With sources.

Correct: "Embedded payments is $80-100B in 2024, growing 20-25% CAGR (McKinsey 2024)" Wrong: "The market is large and growing rapidly"

Step 2 — Industry economics

Map how value flows. Approach depends on industry structure:

  • Vertically structured — value chain layers, typical margin at each
  • Platform/network — ecosystem participants, value flows between them
  • Fragmented — consolidation dynamics, margin differences by scale

Step 3 — Target company profile

| Metric | Value |
|---|---|
| Revenue | $4.96B |
| Growth | +26% YoY |
| Gross Margin | 45% |
| Profitability | $373M Adj. EBITDA |
| Customers | 134K |
| Retention | 92% |
| Market Share | ~15% |

Multi-segment companies add a breakdown:

| Segment | Revenue | Rev YoY | Rev % | EBITDA | EBITDA YoY | Margin |
|---|---|---|---|---|---|---|
| Seg A | $25.1B | +26% | 57% | $6.5B | +31% | 26% |
| Seg B | $13.8B | +31% | 31% | $2.5B | +64% | 18% |
| Seg C | $5.1B | -2% | 12% | -$74M | -16% | -1% |
| Total | $44.0B | +18% | 100% | $6.5B* | - | 15% |

*Note corporate costs if applicable

Step 4 — Competitor mapping

Group by whichever lens fits (this is a good ask_user_question decision if the user hasn't specified):

  • By business model — platform / vertical / horizontal
  • By segment — enterprise / SMB / consumer
  • By posture — direct / adjacent / emerging
  • By origin — incumbent / disruptor / new entrant

Step 5 — Positioning visualization

TypeWhen
2×2 matrixTwo dominant competitive factors
Radar/spiderMulti-factor comparison
Tier diagramNatural clustering into strategic groups
Value chain mapVertical industries
Ecosystem mapPlatform markets

See references/frameworks.md for 2×2 axis pairs by industry.

Step 6 — Competitor deep-dives

Two tables per competitor.

Metrics:

| Metric | Value |
|---|---|
| Revenue | $X.XB |
| Growth | +XX% YoY |
| Gross Margin | XX% |
| Market Cap | $X.XB |
| Profitability | $XXXM EBITDA |
| Customers | XXK |
| Retention | XX% |
| Market Share | ~XX% |

Qualitative:

| Category | Assessment |
|---|---|
| Business | What they do (1 sentence) |
| Strengths | 2-3 bullets |
| Weaknesses | 2-3 bullets |
| Strategy | Current priorities |

Step 7 — Comparative analysis

| Dimension | Company A | Company B | Company C |
|---|---|---|---|
| Scale | ●●● $160B | ●●○ $45B | ●○○ $8B |
| Growth | ●●○ +26% | ●●● +35% | ●●○ +22% |
| Margins | ●●○ 7.5% | ●○○ 3.2% | ●●● 15% |

Step 8 — Strategic context

M&A transactions (multiples, rationale), partnership trends, capital raising patterns, regulatory developments. See references/schemas.md for the M&A transaction table format.

Step 9 — Synthesis

Moat assessment — rate each competitor Strong / Moderate / Weak on:

MoatWhat to assess
Network effectsUser/supplier flywheel strength; cross-side vs same-side
Switching costsTechnical integration depth, contractual lock-in, behavioral habits
Scale economiesUnit cost advantages at volume; minimum efficient scale
Intangible assetsBrand, proprietary data, regulatory licenses, patents

Required synthesis elements:

  • Durable advantages (hard to replicate) — map to moat categories
  • Structural vulnerabilities (hard to fix)
  • Current state vs. trajectory

For investment contexts (skip if the Phase 1 scoping said no):

| Scenario | Probability | Key driver |
|---|---|---|
| Bull | 30% | Market share gains, margin expansion |
| Base | 50% | Current trajectory continues |
| Bear | 20% | Competitive pressure, margin compression |

---

Quality checklist

Before finishing:

Prompt fidelity

  • Slide titles match what the user specified, verbatim
  • Charts where they said chart; tables where they said table
  • Every competitor/year/data point they listed is present
  • Exact values and formats as specified

Data consistency

  • Source-file values extracted directly, not recalculated
  • Same metric shows the same value on every slide it appears
  • Same decimal precision as the source

Layout

  • Titles fit without overflow
  • No overlapping elements
  • All text within containers, no clipping

Content

  • Every number has a citation
  • All metrics from the same fiscal period (or flagged)
  • Slide titles state insights, not topics
  • Charts are real chart objects

Run standard visual verification checks on every slide — this catches overlaps, overflow, and low-contrast text that don't show up when you're reading back the XML.

Related skills

FAQ

Does it work in PowerPoint?

Yes. It runs in both the PowerPoint add-in (building slides into a live deck) and in chat (generating a .pptx file).

Does it start building slides immediately?

No. It scopes the analysis and gets outline approval first, then builds, because rebuilding a 10-20 slide deck is expensive.

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.