parallel-concepts
Build several genuinely different solutions to the same problem at once.
What this skill does for you
Build several genuinely different solutions to the same problem at once, spread across what the user does rather than how it looks. Use when one direction is on the table and the team is about to refine it by default. For choosing between the concepts afterwards, use `concept-selection`.
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 parallel-concepts skill from owl-listener/designer-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: 9a6930cf84a822eb458624bd11c61aac5bbdf224. 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: 9a6930cf84a822eb458624bd11c61aac5bbdf224. 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: 9a6930cf84a822eb458624bd11c61aac5bbdf224. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/owl-listener/designer-skills
- Pinned skill file
- View source at revision
- Revision
- 9a6930cf84a822eb458624bd11c61aac5bbdf224
- Package hash
- sha256:9535ff77370d4619d18bbcc2809eb730ee7d988c7856cbd8a2d9736e3458b00c
- Licence
- MIT