Produce a Competitive Analysis Pack (competitive alternatives map, competitor landscape, differentiation & positioning hypotheses, battlecards, monitoring plan). Use for competitor research, competitive landscape, win/loss analysis, and positioning vs alternatives.
Quickly install competitive-analysis AI skill to your development environment via command line
Source: liqiongyu/lenny_skills_plus.
Produce a Competitive Analysis Pack in Markdown (in-chat; or as files if requested):
1) Context snapshot (decision, ICP, use case, constraints, time box) 2) Competitive alternatives map (direct/indirect/status quo/workarounds/analog) 3) Competitor landscape table (top 5–10) with evidence links + confidence 4) Customer decision criteria + comparison matrix (customer POV)
5) Differentiation & positioning hypotheses (why win, why lose, proof points) 6) Win themes + loss risks (objections, landmines, traps) 7) Battlecards (3–5 priority competitors) 8) Monitoring plan (signals, cadence, owners, update triggers) 9) Risks / Open questions / Next steps (always included)
Produce a Competitive Analysis Pack (competitive alternatives map, competitor landscape, differentiation & positioning hypotheses, battlecards, monitoring plan). Use for competitor research, competitive landscape, win/loss analysis, and positioning vs alternatives. Source: liqiongyu/lenny_skills_plus.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill competitive-analysisProduce a Competitive Analysis Pack (competitive alternatives map, competitor landscape, differentiation & positioning hypotheses, battlecards, monitoring plan). Use for competitor research, competitive landscape, win/loss analysis, and positioning vs alternatives. Source: liqiongyu/lenny_skills_plus.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill competitive-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/liqiongyu/lenny_skills_plus