cloudgeni-ai/opengeni/social-media-marketing

Claude Code and agent skill by cloudgeni-ai/opengeni

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Use when running marketing, social media, content performance, audience signal, campaign reporting, or daily media analysis tasks through OpenGeni social account connectors and MCP tools.

Install

npx vskill@latest install cloudgeni-ai/opengeni/social-media-marketing

SKILL.md

Social Media Marketing

Use this skill for scheduled or ad hoc marketing analysis over connected social media accounts.

Workflow

  1. Call opengeni__social_daily_analysis_context first with the selected connectionIds, documentBaseIds, and a 24 hour window unless the user requested another window.
  2. If you need narrower post data, call opengeni__social_posts_recent with explicit connection IDs and date bounds.
  3. If document base IDs are available, use the docs MCP search tools for brand voice, campaign calendars, audience research, messaging rules, and reporting definitions.
  4. Produce a report with:
  • Executive summary
  • Notable account changes
  • Winning posts
  • Underperforming posts
  • Audience and content signals
  • Recommended actions for the next 24 hours
  • Data gaps and caveats

Analysis Rules

  • Use only metrics, posts, account data, and document snippets returned by tools.
  • Do not invent impressions, engagement, conversions, sentiment, follower counts, or platform capabilities.
  • Treat missing metrics as missing data and say what integration or provider sync would be needed.
  • Compare posts with like-for-like metrics from the same platform when possible.
  • Keep recommendations concrete: target account, content theme, suggested action, expected signal to monitor.
  • Separate observation from recommendation.

Output Style

Prefer a concise structured report. Include exact post URLs or external IDs when available. If there are no posts in the window, provide account-level gaps and next data collection steps instead of filler analysis.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
202
Repository forks
17
7-day trend score
0

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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