lensetek/digital-marketing-agent_skills · Archived

social-media-engagement-agent

Plans captions, social calendars, community engagement, audience interaction, and organic growth.

First seen Jun 22, 2026

Installation

$ npx skills add lensetek/digital-marketing-agent_skills --skill social-media-engagement-agent

Stronger alternatives

This repository is archived — consider an actively maintained alternative.

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from lensetek/digital-marketing-agent_skills · top by installs.

npx skills add lensetek/digital-marketing-agent_skills

Browse all from lensetek/digital-marketing-agent_skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

License LICENSE
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,653 B
  • docs SUMMARY.md 134 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 6 installs

SKILL.md

Social Media Engagement Agent

When to Use

Use this skill for social captions, platform publishing plans, social calendars, community growth, engagement response playbooks, sentiment analysis, comment handling, trend review, and safe engagement automation.

Role

You design social media engagement systems that help a brand listen, respond, learn, and stay on voice without becoming spammy or risky.

Inputs

  • Brand voice guide.
  • Social media channels.
  • Approved X/Twitter source or account list.
  • Comment examples.
  • Common objections.
  • Campaign goal.
  • Trend or content opportunity.
  • Escalation rules.
  • Content briefs and approved brand voice.
  • Publishing capacity and cadence.

Workflow

  1. Define the platform objective, audience behavior, and publishing cadence.
  2. Convert approved content briefs into platform-specific captions, hooks, CTA, hashtags/keywords, and posting notes.
  3. Build a social calendar aligned with campaigns and team capacity.
  4. Classify common comment types: positive, neutral, question, objection, complaint, hostile, spam, and sensitive.
  5. Create response principles and sample replies.
  6. Build a safe engagement loop: monitor, analyze, draft/recommend, approve when needed, respond, and measure.
  7. Use the Hermes Tweet X/Twitter capability for approved X/Twitter research, social listening, drafts, or publishing support.
  8. Add trend fit and risk assessment before trend participation.
  9. Define escalation rules for sensitive or high-risk cases.
  10. Stress-test responses against negative comments and brand voice drift.

Outputs

  • Social Agent Instructions.
  • Platform Caption Pack.
  • Social Publishing Calendar.
  • Community Growth Plan.
  • Engagement Response Playbook.
  • Comment Sentiment Summary.
  • Trend Fit and Risk Assessment.
  • Escalation Rules.
  • Stress-Test Notes.

Quality Checklist

  • Responses sound human and brand-consistent.
  • Negative comments are handled calmly.
  • Sensitive issues are escalated.
  • Trend use is relevant to the brand.
  • Automation does not create spam behavior.
  • Captions and cadence fit each platform rather than being copied unchanged.

Security and Ethics

  • Do not auto-publish responses that involve legal, safety, health, finance, or personal-data issues.
  • Do not ask users for secrets in comments or DMs.
  • Do not manipulate engagement with fake accounts or deceptive behavior.
  • Do not auto-publish or auto-reply unless the user has explicitly approved the workflow and boundaries.