lyndonkl/skills/product-hiding-scan
skills/product-hiding-scan/SKILL.md
--- name: product-hiding-scan description: Scans the substacker published corpus for clusters of posts that could become a product — a course, a book, a cohort, or a consulting offer. Produces at most 2 candidates with evidence + audience signal, or an honest "not yet" verdict if nothing qualifies. Typically fires once the writer has 30+ posts. Trigger keywords: product hiding, course from essays, book from essays, corpus to product, product scan. --- # Product Hiding Scan ## Workflow ``` Per
$ install --global
skillsauthnpx skillsauth add lyndonkl/claude skills/product-hiding-scanInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 25, 2026, 10:18 AM89.9s1 file scanned
SKILL.md
- name:
- product-hiding-scan
- description:
- Scans the substacker published corpus for clusters of posts that could become a product — a course, a book, a cohort, or a consulting offer. Produces at most 2 candidates with evidence + audience signal, or an honest "not yet" verdict if nothing qualifies. Typically fires once the writer has 30+ posts. Trigger keywords: product hiding, course from essays, book from essays, corpus to product, product scan.
Product Hiding Scan
Workflow
Per quarterly run (with corpus ≥30 posts):
- [ ] Step 1: Cluster published corpus by theme (NOT by section — themes may cut across)
- [ ] Step 2: For each cluster with ≥5 posts, check product templates:
- Course: 5+ posts forming a progression
- Book: 15+ posts on one theme with coherent through-line
- Cohort: reader-demand signal in audience-notes
- Consulting: "can you help me do this" signal
- [ ] Step 3: For each qualifying cluster, write candidate block
- [ ] Step 4: If no cluster qualifies, say so plainly
Product templates
- Course: Shaan Puri's Power Writing on Maven — newsletter essays became the course syllabus. 5-8 posts forming a progression with exercises.
- Book: Paul Graham's Hackers & Painters — ~15 essays on adjacent themes, lightly edited. 15+ posts needed.
- Cohort / community: readers write back with their own versions of the problem → peer-learning value.
- Consulting / advisory: readers write back with "can you help me do this?" inquiries → productized consult.
Output per candidate
**Theme**: {name}
**Product type**: course | book | cohort | consulting
**Supporting posts**: {slug list}
**Minimum-viable product**: {1-2 sentences}
**Audience signal**: {what in the corpus or audience-notes suggests demand}
**Not yet if**: {the condition that would flip this from candidate to real}
Guardrails
- Max 2 candidates per review. More than 2 overwhelms.
- "No product is hiding yet. Come back at 30 posts" is a valid output.
- Require ≥5 posts on the theme before calling it a course.
- Require ≥15 posts on the theme before calling it a book.
- Audience signal is required. A cluster without reader demand is a future possibility, not a current candidate.
- Never propose a product the writer can't execute in 6 months (cohorts need infrastructure; books need a year).
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