Produce market size (TAM/SAM/SOM), competitor matrix, SWOT, Porter's Five Forces, and positioning strategy for a defined product. Use when a task says "size the market", "research competitors", "how big is this market", "who are we up against", or after the ideation phase completes and before pricing/go-to-market decisions are made.
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
# Market Research - Market and Competitive Analysis
> STATUS: DEFERRED. Not active in current project phase (backend API only). Will be activated when business planning/analysis work begins. Do not invoke until explicitly activated by the User.
Comprehensive market research producing actionable intelligence on market size, competitive landscape, and positioning strategy. Requires the ideation phase to be complete (`docs/business/product-vision.md`, `target-audience.md`, `user-personas.md`). Every claim must be sourced or explicitly marked as an estimate.
## Steps
1. **Read existing context.** `docs/business/product-vision.md`, `target-audience.md`, `user-personas.md`, and `basic-idea.txt` if present. Summarize the market being entered, who is being served, and the price point.
2. **Research market size (TAM/SAM/SOM)** via WebSearch. Calculate TAM top-down and bottom-up, narrow to SAM with explicit filters, project SOM for Years 1-3. Every number sourced or marked "[Estimate]". Full method and summary table: references/research-templates.md.
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The line at the top of this page pins the label git:20261014.88e2c2f, 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.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (4100 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
alexwaha/agentry · 3 stars · license MIT · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_cmjknxrhab26jvec
GET https://markdownregistry.com/api/v1/resolve?ref=alexwaha/agentry/market-research
GET https://markdownregistry.com/api/v1/blob/9e9b1f78f8bfd6c49f733457db8a0500e0df09e9a506d50e7be3ac4a822d8e1a
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.
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