social-media-research-ops
social-media-research-ops is a Content strategy & calendars skill for AI agents, published by HunterSUNSUN in the social-media-research-ops repository on GitHub. Skillspace rates social-media-research-ops C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Social media competitor research and operations workflow for turning real platform browsing into reusable content strategy, account positioning, post ideas, and Obsidian-ready research notes. Use when the user asks to research competitor social accounts, analyze X/Twitter, Xiaohongshu, TikTok, Reddit or similar platforms, plan social media growth, create a posting strategy, study comments and platform dynamics, produce daily research notes, or reuse a prior social media research process.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 41
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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