Home / ginlix-ai / langalpha · plugins/langalpha_research/skills/competitive-analysis/SKILL.md · GitHub

competitive-analysis skillA

competitive-analysis is agent-read markdown (skill) from ginlix-ai/langalpha: Competitive landscape analysis: positioning, scorecards, moat assessment, market share trends. Triggers on competitive analysis, competitive landscape, competitor benchmarking, moat assessment, market share, who are the competitors..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Competitive Landscape Mapping

Who competes, on what, and which advantages survive. The product is a comparison, so the comparison has to be real: same period, same metric definition, same basis, with each figure's provenance visible. A table of numbers that were measured differently looks like analysis and is not one.

Evidence labels, source tiers, staleness, the readiness posture and the intake limits: `.agents/skills/research-conventions/SKILL.md`, read before the first deliverable.

## Reference files

- The deliverable is a deck or a formatted document, or the request specifies titles, chart types or exact figures: `.agents/skills/competitive-analysis/references/presentation.md`.
- The set is judged on customer economics rather than units shipped or stores opened: `.agents/skills/competitive-analysis/references/unit-economics.md`, which carries the benchmark bands (Rule of 40 on EBITDA margin, NDR, LTV:CAC, CAC payback), the cohort matrix and the traps that make two companies look comparable when they are not.
- Building an M&A transaction table, a scenario table, or a slide skeleton: `.agents/skills/competitive-analysis/references/schemas.md`.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ginlix-ai/langalpha/competitive-analysis@git:20260915.52e16a2
Exact content
mdr add ginlix-ai/langalpha/competitive-analysis@sha256:d9bcbd916ec44220

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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Versions

versioncommittedcommitsizeaudit
git:20260915.52e16a2 latest2026-09-15 52e16a2 12,577 BA view · diff
git:20260826.8da358a2026-08-26 8da358a 15,885 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12577 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

GitHub

ginlix-ai/langalpha · 1,774 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_czdiusub2yx5ywtz
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/competitive-analysis
GET https://markdownregistry.com/api/v1/blob/d9bcbd916ec4422054c0588212b1c67ec8775da59a3a7710e796558b6c1c87bc

Your agent 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.

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