Agent skill

competitive-analysis

Competitive landscape analysis: positioning, scorecards, moat assessment, market share trends

ginlix-aigithub.com/ginlix-aiGitHub ↗
claude-codeApache-2.0
Install
npx skills add ginlix-ai/LangAlpha --skill competitive-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 15 KB
Bundled scripts: none
Path: skills/competitive-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,604
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Competitive Landscape Mapping --- ## CRITICAL STANDARDS - APPLY TO EVERY ANALYSIS ### Source File Primacy When source files (Excel/CSV) are provided: * **Extract values DIRECTLY** — Do not perform your own calculations; use the numbers as they appear * **Maintain consistency** — When the same metric appears in multiple places, ensure identical values throughout * **Verify calculations** — If the prompt asks you to calculate something, verify your result matches related data in the source * **Round only as shown** — Use the same decimal precision as the source file ### Prompt Fidelity When the prompt specifies exact requirements, follow them verbatim: **Slide Titles & Section Names:** * If prompt says `"Overview and Competitive Scope" slide` — use EXACTLY that title, not a paraphrase * If prompt says `within the "Segment Mix" section` — use EXACTLY "Segment Mix" as the section header * Never substitute with creative alternatives (e.g., don't use "FY2024 Segment Contribution Analysis" when "Overview and Competitive Scope" was specified) **Chart vs Table:** * If prompt says `embedded chart` — create an actual PowerPoint chart object, NOT a table * If prompt says `data labels must di

What's inside
Steps it walks through
  1. CRITICAL STANDARDS - APPLY TO EVERY ANALYSIS
  2. Source File Primacy
  3. Prompt Fidelity
  4. Reference Files
  5. Source Quality Hierarchy
  6. Data Comparability
  7. Design & Formatting
  8. Presentation-Specific Requirements
  9. Visual Reference
  10. What's STRICT vs FLEXIBLE
  11. WORKFLOW PHASES
  12. Phase 1: Clarify Requirements
  13. Phase 2: Research → Outline → Review → Create
  14. ANALYSIS WORKFLOW
Ships with 2 files
  • references/frameworks.md
  • references/schemas.md
More from LangAlpha
All skills →
About this skill
What does the competitive-analysis skill do?

Competitive landscape analysis: positioning, scorecards, moat assessment, market share trends

How do I install it?

Run `npx skills add ginlix-ai/LangAlpha --skill competitive-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ginlix-ai/LangAlpha, a repository with 1,604 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going