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Create and maintain a draft review queue with founder sign-off checklist — categorize drafts by readiness, flag issues, track approvals, and minimize review friction.
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Basé sur la classification professionnelle SOC
Analyze A/B tests across hook variations, posting times, content formats, and CTAs — declare statistical winners, document learnings, and build an always-on optimization engine.
Track post-level metrics across all platforms — impressions, engagement rate, profile clicks, follows, link clicks — with weekly aggregation and trend detection for performance analysis.
Generate weekly and monthly performance summary reports — top/bottom posts, content type analysis, pillar performance, follower growth, conversion tracking, and actionable recommendations.
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 | draft-review |
| description | Create and maintain a draft review queue with founder sign-off checklist — categorize drafts by readiness, flag issues, track approvals, and minimize review friction. |
| version | 2.0.0 |
| author | Crewm8 |
| maintainer | Gokul (github.com/gokulb20) |
| license | MIT |
| homepage | https://crewm8.ai |
| tags | ["social","publishing","review","approval","workflow","founder"] |
| related_skills | ["schedule-queue","brand-voice-system","content-calendar"] |
| inputs_required | ["content-drafts-for-review-window","review-cadence","founder-availability"] |
| deliverables | ["draft-review-queue-with-status-tracking"] |
| compatible_agents | ["hermes","claude-code","droid","cursor","windsurf","openai","openclaw","generic"] |
| execution_tier | 2 |
| required_tools | [] |
| required_env_vars | [] |
Manage a review queue that gets content from "written" to "approved" to "scheduled" with clear sign-off gates. The founder's time is the scarcest resource — this skill minimizes review friction while maintaining quality control.
Founders are the bottleneck. If they need to review 30 drafts at once, they'll skim 5 and ignore the rest. This skill batches, prioritizes, and pre-clears drafts so the founder only sees what needs their judgment — and the rest flows through automatically.
| Draft Status | Meaning | Action |
|---|---|---|
| Draft | Written, unreviewed | Send to review queue |
| Needs Revision | Founder flagged issues | Revise and re-submit |
| Conditionally Approved | Approved with minor changes | Apply changes; no re-review |
| Approved | Ready to schedule | Move to schedule-queue |
| Rejected | Concept doesn't work | Archive with reason |
Collect all drafts for the review window. Organize by platform and scheduled date.
Pre-review each draft before sending to founder:
brand-voice-system)Build the review package:
Send for review with clear decision options:
Track review status:
Optimize over time:
# Draft Review Queue: [Week of Date]
## Review Batch [N]
**Deadline:** [Date/time]
### Item 1: [Post Title]
**Platform:** [X / LinkedIn / IG / TikTok]
**Pillar:** [Pillar]
**Scheduled for:** [Day, time]
**Preview:** [Full text]
**Decision:**
- [ ] Approved
- [ ] Approved with changes: [notes]
- [ ] Needs revision: [what]
- [ ] Rejected: [reason]
### Item 2...
...
## Review Summary
- **Total in queue:** [N]
- **Urgent (by EOD):** [N]
- **Approval rate (trailing 4 weeks):** [N]%
- **Top rejection reasons:** [Pattern 1], [Pattern 2]
The skill is complete when:
Check turnaround: draft submitted → founder approved. Target: under 24 hours. Check approval rate: if consistently high (90%+), reduce review friction. Check rejection patterns: if a format/pillar is rejected >30%, stop drafting it.