linkedin-job-post-to-buyer-pain-map SKILL.md skillA

linkedin-job-post-to-buyer-pain-map from varnan-tech/opendirectory is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add varnan-tech/opendirectory/linkedin-job-post-to-buyer-pain-map@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
varnan-tech/opendirectory
Path
skills/linkedin-job-post-to-buyer-pain-map/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Apr 28, 2026
First version recorded
Apr 26, 2026
Size
13,512 bytes
Repository stars
699
License
MIT

Takes pasted LinkedIn job posts or hiring descriptions and converts them into a structured buyer pain map with inferred pains, capability gaps, buy-vs-build signal, account priority scores, and suggested outreach angles. Use when asked to analyze hiring posts, decode job descriptions for buyer intent, build a pain map from job listings, extract GTM signals from hiring activity, or prioritize accounts based on hiring data. Trigger when a user says "analyze these job posts…

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

# LinkedIn Job Post to Buyer Pain Map

Take LinkedIn job posts. Decode them into a structured buyer pain map with scores, pains, and outreach angles.

---

**Critical rule:** Every inferred pain must cite specific language from the job description that supports it. Never hallucinate pains that are not grounded in the text. If a post is too generic to infer pain, say so explicitly and assign a low signal strength score.

**Ethical rule:** Do not infer personal attributes or protected characteristics about candidates. Focus strictly on company-level operational pain and organizational needs.

---

## Step 1: Setup Check

Confirm required env vars:

```bash
echo "GEMINI_API_KEY: ${GEMINI_API_KEY:+set}"
```

**If GEMINI_API_KEY is missing:**
Stop. Tell the user: "GEMINI_API_KEY is required. Get it at aistudio.google.com. Add it to your .env file."

---

## Step 2: Collect Inputs

The skill needs 3 required inputs. Collect them before proceeding.

### 2a: Product Brief

Ask: "Describe your product in 2-5 sentences. What do you do, what is your core value prop, and who do you target?"
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add varnan-tech/opendirectory/linkedin-job-post-to-buyer-pain-map@sha256:e6310d0cf72c8ad0

The line at the top of this page pins the label v1.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_pmns77cv4l3xuhuy.svg)](https://markdownregistry.com/a/art_pmns77cv4l3xuhuy)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Apr 26, 2026 and Apr 28, 2026, more than one a day.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-04-28 bd0989e 13,512 BA view · diff
v1.0.02026-04-26 1053641 13,517 BA view · diff
v1.0.02026-04-26 8014b10 13,245 BA view

Audit of the latest version

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 (13512 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

varnan-tech/opendirectory · 699 stars · license MIT · pushed 2026-10-17 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_pmns77cv4l3xuhuy
GET https://markdownregistry.com/api/v1/resolve?ref=varnan-tech/opendirectory/linkedin-job-post-to-buyer-pain-map
GET https://markdownregistry.com/api/v1/blob/e6310d0cf72c8ad091665cf341ad759b618a85240d619d430609a587b7f613d5

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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