content-recycling SKILL.md skillA

content-recycling from social-media-skills/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add social-media-skills/skills/content-recycling@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
social-media-skills/skills
Path
skills/content-recycling/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Oct 14, 2026
First version recorded
Jul 8, 2026
Size
5,667 bytes
Repository stars
251
License
MIT

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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# content-recycling

The **time-axis** reuse discipline — turn a *proven evergreen* asset into multiple cycles, **refreshed
each time** so it's a new asset, not a stale duplicate. The agent drafts the refresh; a human reviews;
**scheduling-and-queue → WoopSocial** publishes.

## The POV: recycle the insight, not the artifact
Most accounts treat content as disposable — publish once, never again — and waste their best assets.
But **~80%+ of your audience misses any given post** (only ~5–10% of a network sees it), and new
followers never saw it at all. So your proven evergreen winners are **compounding assets.** Recycle
them — but **refresh, don't duplicate** (identical reposting risks Meta's 2026 originality penalties
and fatigues the core audience). Recycle **winners from a ranked list, not from memory.**

## Read these first
1. **brand-profile** — pillars, non-negotiables (so the refresh stays on-brand).
2. **voice-builder** — so the refreshed version sounds like the brand.

## The framework: REUSE
(Depth: `references/the-reuse-framework.md`.)
- **R — Resurface the winners:** audit **native analytics** for proven *evergreen* pieces (by goal:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add social-media-skills/skills/content-recycling@sha256:d6ec70a03f263674

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vr4ujnayw6gk3lxp.svg)](https://markdownregistry.com/a/art_vr4ujnayw6gk3lxp)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 8, 2026 and Oct 14, 2026, about one every 49 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-14 e2c549d 5,667 BA view · diff
v1.0.02026-07-16 2e54555 5,533 BA view · diff
v1.0.02026-07-08 28a59a8 5,483 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5667 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

social-media-skills/skills · 251 stars · license MIT · pushed 2026-10-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vr4ujnayw6gk3lxp
GET https://markdownregistry.com/api/v1/resolve?ref=social-media-skills/skills/content-recycling
GET https://markdownregistry.com/api/v1/blob/d6ec70a03f263674d167b1dea2302b290daf1dc610dc8c4d4a0e109a13b70e2e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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