Skill profile

content-recycling

Content recycling : resurface, update, and repost proven evergreen content over time.

What this skill does for you

Content recycling : resurface, update, and repost proven evergreen content over time. Use when someone wants to "get more mileage out of old posts," "recycle/repost our best content," "resurface evergreen pieces," "update and republish an old post," or build a recycling queue of proven winners. Recycles the INSIGHT refreshed (new hook/format/updated data) on a deliberate cadence : never an identical repost. Distinct from cross-platform-repurposing (same moment, many platforms) and captions-and-clipping (long-form -> short clips). Reads brand-profile + voice-builder first. The agent drafts the refresh; a human reviews; WoopSocial schedules/publishes (delete+recreate, no update); winners are picked from native analytics; nothing is fabricated.

Quoted from the skill description in the pinned source

Who made it

Publishersocial-media-skills

Repositoryskills

Installs314as 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 content-recycling skill from social-media-skills/skills.

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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: sha256:7ee641e9dbb6d144d4aef6ead7514635f55f00d50299aa8127c262e8706f25ec
Licence: MIT