community-management
Use to build a genuine community : turning an audience into people who interact with each other.
What this skill does for you
Use to build a genuine community : turning an audience into people who interact with each other, not just with the brand. Run when the user asks how to build community, foster belonging/loyalty, create superfans, start a group/Discord channel, get members talking to each other, or move beyond chasing followers/virality. Reads brand-profile/social-strategy/audience-research. Community outperforms virality, measured by relationship depth/retention, not follower count. Covers the audience-to-community distinction (member-to-member interaction), choosing the space (in-feed -> semi-owned -> owned groups/Discord), recurring rituals, building belonging, and nurturing superfans into advocates. KPIs read natively, never fabricated. Advisory: WoopSocial schedules the content but does NOT run Discord/Slack or show analytics : the human runs the community, the agent drafts. Never fake community; get consent before spotlighting. Pairs with reply-and-comment-writer and crisis-and-moderation.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the community-management skill from social-media-skills/skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 6e30eeb2f6736bda8683b6bbaa674af3641d7945. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/social-media-skills/skills
- Pinned skill file
- View source at revision
- Revision
- 6e30eeb2f6736bda8683b6bbaa674af3641d7945
- Package hash
- sha256:c603da293d7bf8586b0b436ea8d0a4bf332eea164893ee36141fd0d0a78b56d0
- Licence
- MIT