linkedin-job-post-to-buyer-pain-map

npx skills add Varnan-Tech/opendirectory --skill linkedin-job-post-to-buyer-pain-map --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# 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?" **If the user already included this in their prompt:** Extract it. Confirm: "Product brief captured: [summary]." ### 2

echo "GEMINI_API_KEY: ${GEMINI_API_KEY:+set}"
cat > /tmp/pain-map-score-request.json << 'ENDJSON'
curl -s -X POST \
cat > /tmp/pain-map-analysis-request.json << 'ENDJSON'
mkdir -p docs/pain-maps
cat > "$OUTFILE" << 'EOF'
echo "Pain map saved to $OUTFILE"
cat > "docs/pain-maps/${SLUG}.md" << 'EOF'