Competitive Landscape Analysis
Works with
Comprehensive frameworks for analyzing competition, identifying differentiation opportunities, and developing winning market positioning strategies.
Use this skill when
Working on competitive landscape analysis tasks or workflows
Needing guidance, best practices, or checklists for competitive landscape analysis
Do not use this skill when
The task is unrelated to competitive landscape analysis
You need a different domain or tool outside
No content available.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncompetitive-landscapeExecute the skills CLI command in your project's root directory to begin installation:
Fetches competitive-landscape from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate competitive-landscape. Access via /competitive-landscape in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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this week
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GitHub stars
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Run in your terminal
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this week
31.1K
stars
Apr 8, 2026
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Registry listing for competitive-landscape matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend competitive-landscape for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
competitive-landscape reduced setup friction for our internal harness; good balance of opinion and flexibility.
competitive-landscape is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
competitive-landscape is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in competitive-landscape — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: competitive-landscape is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: competitive-landscape is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend competitive-landscape for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for competitive-landscape matched our evaluation — installs cleanly and behaves as described in the markdown.
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