beachhead-segment SKILL.md skillA
beachhead-segment from stefanoskarakasis/product-marketing-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add stefanoskarakasis/product-marketing-skills/beachhead-segment@v3.0.2Pins v3.0.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- stefanoskarakasis/product-marketing-skills
- Path
pmm-go-to-market/skills/beachhead-segment/SKILL.md- Versions recorded
- 5
- Latest version
- v3.0.2, committed Oct 19, 2026
- First version recorded
- Sep 25, 2026
- Size
- 19,071 bytes
- Repository stars
- 7
- License
- MIT
Scores candidate segments on Burning Pain, Willingness to Pay, Winnability and Referral Potential, with blocking gates, to pick your highest-priority beachhead. Use when choosing a first market or customer segment; the confirmed beachhead is written to brain Section 2 only on your say-so.
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
# Beachhead-Segment — Skill ## How This Works Identifies the highest-probability segment to dominate first — before expanding. This is the wedge. Everything else (positioning, GTM strategy, proof points) follows from getting this right. The skill runs in 7 steps: **Step 0** — Load brain context (ICP, positioning, competitive landscape, proof points) and, if the user maintains `/context/meta-patterns.md`, guardrails logged there. **Step 1** — Identify candidates: Name 2–5 segments or ask user to decompose current ICP. **Step 2** — Score each segment on four dimensions: Burning Pain, Willingness to Pay, Winnability, Referral Potential. **Step 3** — Apply blocking gates: Pain floor (≥3), Winnability floor (≥3), assumption density check. **Step 4** — Recommend beachhead with expansion pathway, 90-day activation plan, and specific rejection reasons for every eliminated segment. **Step 5** — Update brain Section 2 with confirmed beachhead (on user confirmation). **Step 6** — Learning Close: log the session to `/context/skill-sessions.md`. **Correction (2026-08-24):** this summary previously listed 8 entries …
Read the whole file at its exact version.
How to install
mdr add stefanoskarakasis/product-marketing-skills/beachhead-segment@sha256:7b6f2c9e5154d41dThe line at the top of this page pins the label v3.0.2, 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_jtdukizq254mmml5)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Sep 25, 2026 and Oct 19, 2026, about one every 6 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.0.2 latest | 2026-10-19 | f2a0167 | 19,071 B | A | view · diff |
| v3.0.2 | 2026-10-11 | 5b18188 | 19,182 B | A | view · diff |
| v3.0.2 | 2026-10-10 | 3414c0d | 19,185 B | A | view · diff |
| v3.0.1 | 2026-10-04 | 8275f0c | 19,133 B | A | view · diff |
| v3.0.1 | 2026-09-25 | 1ab7fb5 | 18,715 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 (19071 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
stefanoskarakasis/product-marketing-skills · 7 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jtdukizq254mmml5 GET https://markdownregistry.com/api/v1/resolve?ref=stefanoskarakasis/product-marketing-skills/beachhead-segment GET https://markdownregistry.com/api/v1/blob/7b6f2c9e5154d41ddf634a4f6285a2667bb1134a13d9b31163bff08cd822b29b
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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