asb-willingness-to-pay
Maps the desire behind why customers pay and commits to the one or two kinds worth owning.
What this skill does for you
Maps the desire behind why customers pay and commits to the one or two kinds worth owning, without touching the price number. Three desires, by value: Love (advocates who want you to charge more), Utility (rational ROI buyers), Coercion (trapped against their will). Three phases: (1) map what's TRUE TODAY : walk the full Love/Utility palette WITH the user, marking have/partial/none, and run the fragility test 'who leaves the moment a good alternative appears?' exposing Coercion posing as loyalty; (2) what you'd do DIFFERENTLY : which to own, deepen, or build, which Coercion to drop, framed by value created not cost saved; (3) validate each change and commit to one or two of each. A facilitator, not an oracle: it surfaces the whole menu and draws answers from the user. Load when the user asks why customers pay, what makes them advocate, or whether retention is real or coerced. Do NOT load to set or raise the price, pick a pricing strategy (More/Less), define the ideal customer, or rewrite marketing copy.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the asb-willingness-to-pay skill from asmartbear/asb-skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
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: e536b22777710d55bfeb906f3b475fcfce47bb3b. 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: e536b22777710d55bfeb906f3b475fcfce47bb3b. 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: e536b22777710d55bfeb906f3b475fcfce47bb3b. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/asmartbear/asb-skills
- Pinned skill file
- View source at revision
- Revision
- e536b22777710d55bfeb906f3b475fcfce47bb3b
- Package hash
- sha256:efb4008a51001d0a401571e598914de38948b8620190d330aead79a084b2cca0
- Licence
- CC-BY-4.0