Competitive Deep Diver: Install, Source and Security | FunnelSlayer

Competitive Deep Diver

Published by mittuled in skill-os

Review recommended1 installs

What this skill does

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Add Competitive Deep Diver to your agent

Review the source and files first. When you are ready, copy the prompt instruction or use the CLI command supported by your environment.

Install with a prompt

Paste this into a compatible coding agent:

add this skill "competitive-deep-diver" from https://github.com/mittuled/skill-os

Install with the CLI

Run this command in a controlled environment after reviewing the repository:

npx skills add https://github.com/mittuled/skill-os --skill competitive-deep-diver

Skill instructions

competitive-deep-diver

Agent: Applied Research Lead

L1 applied research leader (1x) responsible for market research synthesis, technology trend analysis, competitive deep dives, benchmarking, and contributing to the research roadmap.

Department ethos: ideal-applied-research.md Tool policy: allowed-tools.yaml

Skill Description

The competitive deep diver conducts thorough analysis of specific competitors -- covering product capabilities, pricing, go-to-market strategy, technical architecture, and market positioning -- to inform product strategy and competitive response.

When to Use

  • When a specific competitor launches a major feature, funding round, or market expansion that may impact the company's position.
  • When sales reports encountering a new competitor in deal cycles for the first time.
  • When product strategy needs a detailed understanding of a competitor's strengths and weaknesses before a build-vs-differentiate decision.
  • When the annual strategic planning process requires updated competitive landscape analysis.

Workflow

  1. Define the scope: Identify the competitor and the analysis dimensions (product, pricing, GTM, technical, positioning). Deliverable: analysis scope document.
  2. Gather intelligence: Collect data from public sources (product pages, documentation, pricing, job postings, press releases, reviews, patent filings). Deliverable: raw intelligence dossier.
  3. Analyse product capabilities: Map the competitor's feature set against the company's product, identifying overlaps, gaps, and unique differentiators. Deliverable: feature comparison matrix.
  4. Assess strategy and positioning: Analyse the competitor's messaging, target segments, pricing model, and go-to-market approach. Deliverable: strategy assessment.
  5. Identify implications: Determine what the competitor's moves mean for the company's product roadmap, pricing, and positioning. Deliverable: strategic implications memo.
  6. Distribute findings: Share the analysis with product, sales, and marketing stakeholders in a format they can act on. Deliverable: competitive deep-dive report with executive summary.

Anti-Patterns

  • Feature-list comparison only: Comparing feature checklists without analysing strategic intent, positioning, or market context. Why: feature parity does not determine competitive outcomes; strategy and execution matter more.
  • Single-source analysis: Basing conclusions on one data source (e.g., only the competitor's marketing site). Why: marketing claims differ from reality; triangulating multiple sources produces reliable analysis.
  • Analysis without recommendations: Delivering a competitor profile without stating what the company should do differently. Why: intelligence without actionable implications is academic exercise that does not influence decisions.

Output

On success: A competitive deep-dive report containing a feature comparison matrix, strategy assessment, strategic implications, and specific recommendations for product, sales, and marketing.

On failure: Report which analysis dimensions could not be completed (e.g., pricing data unavailable, technical architecture opaque), what was analysed, and recommend alternative intelligence-gathering approaches.

Related Skills

Files included

  • assets/competitive-deep-diver-template.md
  • examples/input.md
  • examples/output.md
  • references/framework.md
  • scripts/generate.py
  • SKILL.md

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