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Th3Circle-appTh3Circle-app/agent-skills/skills/content-ops/SKILL.md

content-ops

Skill0 starsChanged 4 months agoMITView on GitHub

Writes platform-native social copy, hooks, hashtags, carousels, email sequences, and posting calendars, then scores drafts against platform rules before publishing. Use when writing captions, posts, threads, video titles, thumbnails, email sequences, or planning a content calendar for TikTok, Instagram, YouTube, X, LinkedIn, Pinterest, or Facebook.

3 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. LazyIsEfficient/agentic-os★ 17same name
    2. varunk130/ai-marketing-claude-skills★ 1same name
    3. matteotitta/claude-marketing-content★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not write until these are known.

    line 13
  2. Very specific:

    If the repo has a BRAND.md, VOICE.md, or similar, read it first and only ask for gaps.

    line 23
  3. Distinctive:

    Read only what the task needs.

    line 51
  4. Distinctive:

    Front-load the hook: Every platform truncates. The first line is the only line guaranteed to be read.

    line 70
  5. Distinctive:

    One platform's best post is another's worst: Never reuse copy verbatim across platforms.

    line 77

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Content Ops

Turn one idea into platform-native content, then check it before it ships.

First: establish voice

Do not write until these are known. Ask the user only for what is missing, in one message.

NeedWhy it matters
Who is postingDetermines authority and pronouns
What they sell or promoteDetermines the soft CTA
AudienceDetermines vocabulary and pain points
ToneDetermines sentence length and formality
PlatformsDetermines format and constraints

If the repo has a BRAND.md, VOICE.md, or similar, read it first and only ask for gaps.

Workflow

- [ ] 1. Establish voice (above)
- [ ] 2. Pick the platforms actually needed
- [ ] 3. Read references/platforms.md for those platforms only
- [ ] 4. Draft three variations of the highest-leverage asset
- [ ] 5. Score with scripts/critic.py
- [ ] 6. Fix what it flags, re-score, then deliver

Step 5 is not optional. Drafts that skip it ship with avoidable reach penalties.

Scoring drafts

python3 scripts/critic.py --platform tiktok --file draft.txt
python3 scripts/critic.py --platform linkedin --text "your caption here"

It checks length limits, reach-suppressing phrases, hashtag counts, hook strength, and CTA style, then prints a score with specific fixes. Exit code is non-zero when the draft would be penalized, so it can gate a publishing pipeline.

Reference material

Read only what the task needs.

FileContents
references/platforms.mdPer-platform format, length limits, hashtag rules, what suppresses reach
references/hooks.mdHook formulas with worked examples, and why each works
references/hashtags.mdTag-mix strategy, rotation, tags that hurt
references/seo.mdYouTube titles, app store listings, page SEO
references/email.mdSequence structures: onboarding, launch, re-engagement
references/calendar.mdCadence planning and repurposing one asset across platforms

Rules that apply everywhere

Write three variations, not one. The user picks or A/B tests. A single draft is a guess presented as an answer.

Reference the actual content. Generic copy that would fit any video is worthless. Pull specific claims, moments, or numbers from the source material.

Front-load the hook. Every platform truncates. The first line is the only line guaranteed to be read.

Close with a question, not a command. Questions drive replies, which drive reach. Hard CTAs ("link in bio", "buy now") are penalized on most platforms. See references/platforms.md for the per-platform list.

One platform's best post is another's worst. Never reuse copy verbatim across platforms. Adapt format, length, and register every time.

Output

Deliver as markdown with one section per platform, three variations each, and the critic's score for the chosen variation. Write to a file only if the user asks, and ask where rather than assuming a path.

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.