competitor-analysis

competitor-analysis is a skill for Claude Code from phuryn/pm-skills. It costs 41 tokens per session (909 once invoked), scanned A, original, MIT.

A competitive-research workflow for comparing direct competitors, their strengths and weaknesses, and where a product could differ. It builds a view of the market using web research and any supplied competitor material.

In plain words
What is it for?
Use it to identify competitors, review their positioning, features, pricing, and customer feedback, and find opportunities for differentiation.
Why use it?
It avoids making product decisions without knowing the alternatives customers already have. It helps turn scattered competitor information into a structured comparison.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the pm-market-research plugin — 7 skills, 3 commands shipped together

Good fit Use it to identify competitors, review their positioning, features, pricing, and customer feedback, and find opportunities for differentiation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phuryn/pm-skills/competitor-analysis
About the project

phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.

phuryn/pm-skills · 26,535 stars · on GitHub · productcompass.pm

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add phuryn/pm-skills --skill competitor-analysis
Clone the repo
git clone --depth 1 https://github.com/phuryn/pm-skills

Made for: Claude Code.

Or install pm-market-research, the plugin that ships this one along with the rest of its 7 skills, 3 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for competitor-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/phuryn/pm-skills/competitor-analysis/github.svg)](https://agentmods.dev/skills/phuryn/pm-skills/competitor-analysis)
Your own site
<a href="https://agentmods.dev/skills/phuryn/pm-skills/competitor-analysis"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/competitor-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for competitor-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/phuryn/pm-skills/competitor-analysis"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 909 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 14 Sept 2026
  • Snyk warn 14 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00909
Opus 5.5 $0.00016 $0.00364
Sonnet 5 $0.00008 $0.00182
Haiku 4.5 $0.00004 $0.00091

Measured 8d ago against content hash 8e627fc7fba9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-23, from the pricing page.

Security

Grade A, and why

competitor-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

pm-market-research/skills/competitor-analysis/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitor Analysis

Purpose

Conduct a comprehensive competitive analysis to understand the landscape, identify 5 direct competitors, and uncover differentiation opportunities. This skill maps competitive positioning, synthesizes competitor strengths and weaknesses, and highlights opportunities for strategic differentiation.

Instructions

You are a strategic product analyst and competitive intelligence expert specializing in competitive positioning and market landscape mapping.

Input

Your task is to analyze the competitive landscape for $ARGUMENTS in the [market/industry segment] (if specified).

Conduct web research to identify direct competitors. If the user provides market research, competitor data, pricing sheets, feature comparisons, or customer feedback about competitors, read and analyze them directly. Synthesize data into a comprehensive competitive view.

Analysis Steps (Think Step by Step)

  1. Market Scoping: Define the market, industry, and addressable customer base for $ARGUMENTS
  2. Competitor Identification: Use web search to identify 5 primary direct competitors
  3. Competitive Intelligence: Research each competitor's positioning, features, pricing, go-to-market strategy
  4. Strengths & Weaknesses: Assess competitor capabilities, limitations, and market positioning
  5. Differentiation Mapping: Identify gaps, overlaps, and opportunities for $ARGUMENTS to differentiate
  6. Strategic Synthesis: Develop insights about competitive dynamics and future threats

Output Structure

Market Overview & Definition

  • Market size and growth trends
  • Primary customer segments and use cases
  • Key success factors in this market
  • Market dynamics and competitive intensity

Competitive Set Summary

  • 5 primary direct competitors identified
  • Market positions: leaders, challengers, niche players
  • Estimated market share or positioning
  • Notable adjacent or indirect competitors

For each of the 5 competitors:

Competitor Profile

  • Company name, founding date, funding/status
  • Primary market focus and customer segments served
  • Estimated market share or customer base size
  • Market positioning and go-to-market strategy

Read the full file on GitHub · 111 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 111 lines · 41 tokens per session scan A 8e627fc7fba9

Subscribe to this mod's changes

competitor-analysis is a skill published in the GitHub repository phuryn/pm-skills (26,535 stars, last pushed 8d ago), licensed MIT. It adds 41 tokens to every session and 909 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-15.

Related

Other skills, from other repositories

pmm-resume

Resume reviewer and tailoring engine for Product Marketing Managers (IC to VP, including AI PMM roles). Takes baseline resume + job description → dissects JD → ranks bullets by impact fit → rebuilds complete resume in one pass. Trigger on: resume + JD paste, "tailor this", "which bullets for this role", "rebuild for…

stefanoskarakasis/Product-Marketing-Skills · 103 tokens

beachhead-segment

Identifies and scores your highest-priority beachhead segment using four-dimension scoring (Burning Pain, Willingness to Pay, Winnability, Referral Potential) with blocking gates. Reads brain context (ICP, positioning, competitive landscape, proof points) and, when available, guardrails from prior beachhead decisions…

stefanoskarakasis/Product-Marketing-Skills · 88 tokens

prd

Guides Product Managers and Product Marketing Managers to co-create complete Product Requirements Documents with embedded Solution Stories. Reads brain context (positioning, ICP, Revenue Levers) to anchor PRDs in strategy. Outputs: structured Solution Story for GTM communications + full PRD for execution alignment.

stefanoskarakasis/Product-Marketing-Skills · 59 tokens

pre-mortem

Identifies and pressure-tests failure modes for any strategic initiative (product launch, pricing change, GTM pivot, new market entry, feature rollout) by running a cross-functional risk exercise. Loads brain context (ICP, positioning, competitive landscape) and, when available, guardrails from prior pre-mortems…

stefanoskarakasis/Product-Marketing-Skills · 82 tokens

prioritization-frameworks

Selects and applies the right prioritization framework (9 frameworks: Opportunity Score, ICE, RICE, Eisenhower, Impact vs Effort, Risk vs Reward, Kano, Weighted Decision Matrix, MoSCoW) with PMM interpretation layer and GTM launch tier output (T1–T4). Reads brain context (ICP, positioning, revenue levers) and, when…

stefanoskarakasis/Product-Marketing-Skills · 92 tokens

retro

Structured GTM retrospective for cross-functional squads anchored to OKRs and launch outcomes. Produces diagnostic root causes and actionable decisions, not venting. Loads brain context and, when available, guardrails from prior sessions logged in the user's own workspace. Use for post-launch reviews, GTM cycle…

stefanoskarakasis/Product-Marketing-Skills · 85 tokens