competitive-analysis SKILL.md skillA
competitive-analysis from mverab/egeoagents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add mverab/egeoagents/competitive-analysis@git:20260304.6b3825cPins git:20260304.6b3825c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- mverab/egeoagents
- Path
.claude/skills/competitive-analysis/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260304.6b3825c, committed Mar 4, 2026
- First version recorded
- Jan 12, 2026
- Size
- 3,530 bytes
- Repository stars
- 205
- License
- MIT
Analyze AI-search competitors for a query and recommend ranking strategy. Use when users ask competitor analysis, who ranks, or competitive landscape.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Competitive Analysis Skill When analyzing competition for AI-engine rankings: ## Process ### 1. Identify the Query Space - What queries would users search? - What intent do these queries have? - What type of content would AI engines prefer? ### 2. Generate Competitor Profiles Create 5 realistic competitor archetypes: | Type | Description | |------|-------------| | **Market Leader** | Established player with strong brand recognition | | **Specialist** | Niche focus with deep expertise | | **Budget Option** | Price-competitive alternative | | **Innovator** | New approach or technology | | **Content King** | Best educational/informational content | ### 3. Evaluate Ranking Factors For each competitor, assess: - Content depth and quality - Social proof (reviews, testimonials, usage stats) - Authority signals (expertise, credentials) - User intent alignment - Technical optimization (schema, structure) ### 4. Create Comparison Matrix ``` ┌─────────────────────────────────────────────────────────────┐ │ 🏆 COMPETITIVE ANALYSIS │ ├─────────────────────────────────────────────────────────────┤ …
Read the whole file at its exact version.
How to install
mdr add mverab/egeoagents/competitive-analysis@sha256:bce473d53dfbce1aThe line at the top of this page pins the label git:20260304.6b3825c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_bmewzbrfdwcnw46b)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jan 12, 2026 and Mar 4, 2026, about one every 51 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260304.6b3825c latest | 2026-03-04 | 6b3825c | 3,530 B | A | view · diff |
| git:20260112.aa93931 | 2026-01-12 | aa93931 | 3,582 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3530 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
mverab/egeoagents · 205 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bmewzbrfdwcnw46b GET https://markdownregistry.com/api/v1/resolve?ref=mverab/egeoagents/competitive-analysis GET https://markdownregistry.com/api/v1/blob/bce473d53dfbce1a6691d7644a49806e8c38986b54cd15ac828f064595ba6a70
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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