engagement-strategy
Skill3 starsChanged 5 months agoMITView on GitHub
Build a growth/engagement strategy for Instagram + Facebook - format mix, posting rhythm, hooks, saves/shares optimization, and community tactics - without bait or buying followers. Use for channel growth planning.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- microsoft/aibast-agents-librarytheir own version, first seen Oct 13, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- microsoft/aibast-agents-library★ 8same 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 repository15 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- analytics-reviewSkill
- caption-hashtagsSkill
- carousel-postSkill
- community-responseSkill
- content-calendarSkill
- content-ideationSkill
- facebook-postSkill
- feed-postSkill
- hook-writerSkill
- meta-discoverySkill
- reel-scriptSkill
- repurposeSkill
- sponsorship-pitchSkill
- story-sequenceSkill
The file
Files
engagement-strategy
Sustainable growth comes from value people save and share - not hacks, bait, or bought followers.
Levers that actually move Meta
- Reels for reach (Explore/Reels feed); carousels for saves; Stories for connection.
- Optimize for saves & shares (strongest value signals) - make content worth keeping/sending.
- Hook discipline (first 3s / first line) -
hook-retention. - Reply fast to early comments; DM relationships; collaborate (collabs, remixes) with peers in-niche.
- Consistency + series so the audience knows what to expect (
content-calendar). - Keywords + discovery so non-followers find you (
meta-discovery).
Process
- Diagnose where the account is (reach? saves? follows?) from real data (
analytics-review). - Pick 2-3 levers to focus on this month; define a simple weekly cadence + one experiment.
- Define what you'll stop doing (low-ROI formats, bait).
Output
- A focused 30-day plan: 2-3 levers, weekly cadence, one experiment, and what to stop.
Guardrails
- No engagement bait, follow-for-follow, or bought followers - Meta demotes/penalizes and it hollows out reach.
- Growth tactics stay within platform rules; honest metrics only.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- 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.
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.