listicle-and-roundup
The list/roundup content type : design honestly-curated.
What this skill does for you
The list/roundup content type : design honestly-curated, scannable, AI-citable listicles ("7 ways to X", "best tools for Y") and expert / product / link roundups. Use when someone wants a listicle, a "best of" or "top N" list, a ranked recommendation list, an expert roundup, a product/affiliate roundup, or a curated resource list. Ranked "best-of" lists are among the most-cited formats in AI search. Uses the RANKS framework. Reads brand-profile + audience-research first. The agent designs the list and frames the cuts; for roundups it drafts the contributor ask; the human secures real contributor quotes/consent and verifies product facts; WoopSocial publishes the cuts. Feeds the format writers and ai-search-optimization + social-seo. NEVER fabricates items, quotes, or rankings, or pads to a number; discloses affiliate/own-product. Distinct from carousel-writer/thread-writer, educational-content-and-how-to, data-and-original-research, and competitor-analysis.
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 listicle-and-roundup skill from social-media-skills/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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. 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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. 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: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/social-media-skills/skills
- Pinned skill file
- View source at revision
- Revision
- 6e30eeb2f6736bda8683b6bbaa674af3641d7945
- Package hash
- sha256:1f0d0b4ebeba8427f3dcaff52381f1de8cfcd9a2b32822311345d1f5c9598221
- Licence
- MIT