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Draft DM responses to inbound messages with categorization and appropriate tone — sales, support, collaboration, spam — and escalation rules for the founder.
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Baseado na classificação ocupacional SOC
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Write Instagram and LinkedIn captions with scroll-stopping hooks, value-dense bodies, platform-appropriate CTAs, and strategic hashtag sets — optimized for each platform's reading behavior and visual context.
Select and write the optimal call-to-action for any social post — follow, reply, DM, save, share, link, or signup — matched to platform, content type, content value, and audience psychology.
Generate 5-10 hook variations for any post, thread, or caption across X, LinkedIn, Instagram, and TikTok — using different styles (question, contrarian, statistic, story, observation, promise) so the best one can be tested or selected.
| name | dm-respond |
| description | Draft DM responses to inbound messages with categorization and appropriate tone — sales, support, collaboration, spam — and escalation rules for the founder. |
| version | 2.0.0 |
| author | Crewm8 |
| maintainer | Gokul (github.com/gokulb20) |
| license | MIT |
| homepage | https://crewm8.ai |
| tags | ["social","engagement","dms","customer-service","triage","founder"] |
| related_skills | ["comment-reply","mention-monitor","crisis-respond"] |
| inputs_required | ["inbound-dms-across-platforms","existing-response-templates-if-any"] |
| deliverables | ["dm-responses-per-category-with-escalation-decisions"] |
| compatible_agents | ["hermes","claude-code","droid","cursor","windsurf","openai","openclaw","generic"] |
| execution_tier | 2 |
| required_tools | ["X_API_KEY","LINKEDIN_ACCESS_TOKEN"] |
| required_env_vars | ["X_API_KEY","LINKEDIN_ACCESS_TOKEN"] |
Triage and draft responses to direct messages across platforms. DMs are high-trust interactions — a good DM response can convert a prospect or save a customer. A bad or ignored DM erodes that trust permanently.
The DM inbox is where real relationships happen. But it's also where spam, support tickets, sales inquiries, and fan mail all pile up together. This skill separates them, prioritizes them, and drafts appropriate responses so nothing falls through the cracks.
| Category | Priority | Response Time | Tone | Escalate? |
|---|---|---|---|---|
| Sales inquiry | High | Within 2 hours | Helpful, informative | Route if high-value prospect |
| Support / complaint | Critical | Within 1 hour | Empathetic, solution-focused | If technical or account-specific |
| Collaboration | Medium | Within 24 hours | Professional, open, qualifying | Route with summary |
| Spam / irrelevant | Low | Ignore or block | N/A | No |
| Personal / founder connection | Medium | Within 24 hours | Warm, personal | Forward to founder |
| Press / media | High | Within 4 hours | Professional, prepared | Immediate escalation |
Review new DMs across all platforms daily (ideally 2x/day during business hours).
Categorize each message using the Quick Reference table.
Draft the response:
Apply brand voice. DM voice should feel human, not templated. Not overly casual, not stiff.
Track status: Replied / Escalated / Pending / Ignored.
# DM Inbox: [Date]
## Message 1
**Platform:** [X / LinkedIn / IG / TikTok]
**From:** @handle
**Category:** [Sales / Support / Collaboration / Spam / Personal / Press]
**Priority:** [Critical / High / Medium / Low]
**Message:** "[Full DM text]"
**Response Draft:**
[Full response text]
**Action:** [Send / Escalate / Ignore]
**If escalated — founder summary:** [Who, what they want, your recommendation]
---
## Daily Summary
- Total new: [N] | Replied: [N] | Escalated: [N] | Pending: [N] | Ignored: [N]
- Avg response time: [N] hours
The skill is complete when:
Read each draft. Does it sound human? Would the founder feel good about this being sent in their name? For escalated DMs, is the founder summary enough to reply without reading the full thread?