Edge Copy setup link
Skill evidence / product-discovery
Skill profile

product-discovery

Product discovery and market research expert.

What this skill does for you

Product discovery and market research expert. Use when validating product ideas, conducting market research, user interviews, competitive analysis, or opportunity assessment. Covers JTBD, Kano model, and Value Proposition Canvas.

Quoted from the skill description in the pinned source

Who made it

Publishermajiayu000
Repositoryspellbook
Installs373as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the product-discovery skill from majiayu000/spellbook.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 3660f914b02d0d521ef9e2ddf820530054259cea. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 3660f914b02d0d521ef9e2ddf820530054259cea. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 3660f914b02d0d521ef9e2ddf820530054259cea. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/majiayu000/spellbook
Pinned skill file
View source at revision
Revision
3660f914b02d0d521ef9e2ddf820530054259cea
Package hash
sha256:96833c8e402cbe8ae5a2b2e7eed414a4a86d30fc5151e44e495a1dbf28956ee5
Licence
MIT