social-content-calendar
Skill1 starsChanged 41 days agoMITView on GitHub
Builds a 4-week multi-platform posting calendar for a brand or social team, balancing content pillars, per-channel cadence, and real key dates into a week-by-week grid. Use when the user asks to plan, build, or audit a social content calendar or posting schedule across multiple channels (LinkedIn, X, Instagram, TikTok, YouTube Shorts), assign content pillars and ratios, or map a month of posts to launches and events. Do NOT use when planning a solo creator's single-channel video or podcast cadence and theme rotation - use creator-content-calendar instead.
5 other projects use a version of this.
Adopted by
Most recently taken up by
- DoddleHQ/doddle-social-media-skillstheir own version, first seen Nov 8, 2026
- astDeniss/business-skillstheir own version, first seen Nov 1, 2026
- EvolutionAPI/evo-nexustheir own version, first seen Oct 8, 2026
- namddp/social-media-agent-skillstheir own version, first seen Aug 5, 2026
- evolution-foundation/evo-nexustheir own version, first seen Apr 20, 2026
Other versions5 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 5
- EvolutionAPI/evo-nexus★ 545same name
- evolution-foundation/evo-nexus★ 535same name
- astDeniss/business-skills★ 8same name
- DoddleHQ/doddle-social-media-skills★ 0same name
- namddp/social-media-agent-skills★ 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.
In this repository8 other files it gives its agents.
The file
We split this skill into the rules it gives an agent
9 rules. 0 are common, 9 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Reserve reactive capacity: Leave ~20% of slots open for trend/reactive posts.
- Distinctive: line 19
Flag capacity and dependencies: Call out posts needing design, video, or approvals.
- Distinctive: line 22
Every week's slots map to a named pillar, and the month's pillar mix lands within ~10% of the target ratio.
- Distinctive: line 28
Do not paste one frequency across all channels.
- Distinctive: line 29
Do not fill the calendar to 100% - leave reactive headroom.
- Distinctive: line 30
Do not invent metrics or claim a mix is "proven".
- Distinctive: line 31
Do not output a flat list of post ideas instead of a dated per-channel grid.
- Distinctive: line 32
Do not chase generic holidays ("National Donut Day") that don't fit the brand.
- Distinctive: line 36
No analytics yet: ship the 4-week mix as a baseline experiment, with a note on what to measure before iterating.
“Common” is measured: kept by at least 6 in 10 of the 5 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.
Files
Social Content Calendar
Turn a brand's pillars, channels, and real calendar into a 4-week multi-platform posting grid that each channel can actually sustain.
Workflow
- Lock pillars and ratio first. Demand 3-5 content pillars before scheduling anything (e.g. education, behind-the-scenes, social proof, product, point-of-view). Apply a default mix of ~40% educational/value, 30% engagement/community, 20% promotional, 10% personality. If the user hands you only promo ideas, push back: feeds over ~25% selling lose reach fast.
- Set per-channel cadence, not one frequency. Default sustainable rates: LinkedIn 3-5x/week (weekday mornings), X 1-3x/day, Instagram 3-5x/week feed plus daily Stories, TikTok 1x/day minimum, YouTube Shorts 3-7x/week. Cap every channel at what the team can hold long-term - 1x forever beats 2x until burnout.
- Anchor to the brand's real dates. Layer in the brand's launches, events, and announcements first, then add only culturally relevant moments. Skip generic holidays unless they fit the brand.
- Reserve reactive capacity. Leave ~20% of slots open for trend/reactive posts; a fully booked calendar can't respond to what's happening.
- Build the grid week by week. Output one table per week with columns: date, platform, pillar, format (carousel/Reel/thread/text/Short), working title, hook angle, CTA, asset needed, status.
- Plan repurposing, don't improvise it. Sequence so a single core idea feeds multiple slots across channels and weeks. Front-load production-heavy formats early in each week.
- Flag capacity and dependencies. Call out posts needing design, video, or approvals; mark which posts block others; note batching opportunities (one shoot, multiple posts).
Quality bar
- Every week's slots map to a named pillar, and the month's pillar mix lands within ~10% of the target ratio.
- Each channel's cadence is justified by that channel's economy, not copied from another.
- Real brand dates appear before any generic cultural moment; ~20% of slots stay open.
- The grid is complete enough to hand to a producer: no slot is missing format, hook, CTA, or asset.
Do NOT
- Do not paste one frequency across all channels.
- Do not fill the calendar to 100% - leave reactive headroom.
- Do not invent metrics or claim a mix is "proven"; if the brand has no analytics, schedule a 4-week test mix and label it a baseline to measure, not a finished system.
- Do not output a flat list of post ideas instead of a dated per-channel grid.
- Do not chase generic holidays ("National Donut Day") that don't fit the brand.
When to diverge
- Under ~2k followers: recommend one channel done well over four done thinly, and say so explicitly.
- No analytics yet: ship the 4-week mix as a baseline experiment, with a note on what to measure before iterating.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- It didn't
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.
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