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Get Started Free →Social media scheduling and publishing for AI agents. Use when the user wants to schedule posts, connect social accounts, upload media, or publish campaigns to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, or Pinterest through SocialClaw.
.claude/skills/davepoon-socialclaw/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -15% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 1% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 21% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -17% | 0% |
SocialClaw is a workspace-scoped social publishing service at https://getsocialclaw.com.
This skill teaches Claude Code how to:
SC_API_KEY — workspace API key from the SocialClaw dashboardnpm install -g socialclawbash# Get a workspace API key open https://getsocialclaw.com/dashboard # Set it in your environment export SC_API_KEY="<workspace-key>" # Or use the CLI socialclaw login --api-key <workspace-key> # List connected accounts socialclaw accounts list --json # Upload media and schedule a post socialclaw assets upload --file ./image.png --json socialclaw validate -f schedule.json --json socialclaw apply -f schedule.json --json
X, LinkedIn (profile + page), Instagram (Business + standalone), Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest
bashnpx skills add ndesv21/socialclaw
bashsocialclaw login # Authenticate with workspace API key socialclaw accounts list --json # List connected accounts socialclaw accounts connect --provider x --open # Connect X account socialclaw assets upload --file ./image.png --json # Upload media socialclaw validate -f schedule.json --json # Validate schedule socialclaw apply -f schedule.json --json # Apply schedule / create run socialclaw status --run-id <id> --json # Check run status socialclaw posts list --json # List posts socialclaw analytics post --post-id <id> --json # Post analytics socialclaw workspace health --json # Workspace health
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | fail→pass | 5,992 | 2,075 | -65% | 1 | 1 | 0% | 967 | 820 | -15% | 0 | 0 | — |
case-05 | fail→pass | 5,782 | 2,600 | -55% | 1 | 1 | 0% | 967 | 975 | +1% | 0 | 0 | — |
case-01 | fail→pass | 3,733 | 1,749 | -53% | 1 | 1 | 0% | 625 | 754 | +21% | 0 | 0 | — |
case-02 | fail→fail | 14,939 | 5,152 | -66% | 1 | 1 | 0% | 2,351 | 722 | -69% | 0 | 0 | — |
case-03 | fail→fail | 3,903 | 5,397 | +38% | 1 | 1 | 0% | 608 | 771 | +27% | 0 | 0 | — |
case-10 | fail→pass | 5,096 | 2,859 | -44% | 1 | 1 | 0% | 824 | 773 | -6% | 0 | 0 | — |
case-06 | fail→pass | 10,754 | 1,892 | -82% | 1 | 1 | 0% | 1,028 | 853 | -17% | 0 | 0 | — |
case-07 | fail→pass | 8,193 | 2,350 | -71% | 1 | 1 | 0% | 1,535 | 921 | -40% | 0 | 0 | — |
case-08 | fail→pass | 5,275 | 1,389 | -74% | 1 | 1 | 0% | 917 | 770 | -16% | 0 | 0 | — |
case-09 | pass→pass | 6,424 | 2,163 | -66% | 1 | 1 | 0% | 1,017 | 926 | -9% | 0 | 0 | — |
case-11 | pass→pass | 5,135 | 1,832 | -64% | 1 | 1 | 0% | 864 | 825 | -5% | 0 | 0 | — |
case-12 | fail→pass | 7,607 | 2,361 | -69% | 1 | 1 | 0% | 1,352 | 869 | -36% | 0 | 0 | — |
case-13 | fail→pass | 4,084 | 3,166 | -22% | 1 | 1 | 0% | 637 | 1,143 | +79% | 0 | 0 | — |
case-14 | pass→pass | 7,039 | 1,429 | -80% | 1 | 1 | 0% | 1,216 | 737 | -39% | 0 | 0 | — |
case-15 | pass→pass | 5,843 | 1,479 | -75% | 1 | 1 | 0% | 968 | 752 | -22% | 0 | 0 | — |
case-16 | pass→pass | 4,129 | 2,075 | -50% | 1 | 1 | 0% | 714 | 776 | +9% | 0 | 0 | — |
case-17 | pass→pass | 6,250 | 1,343 | -79% | 1 | 1 | 0% | 1,059 | 745 | -30% | 0 | 0 | — |
case-18 | pass→pass | 2,480 | 1,630 | -34% | 1 | 1 | 0% | 362 | 742 | +105% | 0 | 0 | — |
case-19 | pass→pass | 4,988 | 1,485 | -70% | 1 | 1 | 0% | 776 | 719 | -7% | 0 | 0 | — |
case-20 | fail→pass | 5,563 | 1,108 | -80% | 1 | 1 | 0% | 993 | 705 | -29% | 0 | 0 | — |
case-21 | pass→pass | 6,151 | 5,949 | -3% | 1 | 1 | 0% | 1,108 | 1,762 | +59% | 0 | 0 | — |
case-22 | pass→pass | 4,307 | 3,437 | -20% | 1 | 1 | 0% | 859 | 1,236 | +44% | 0 | 0 | — |
case-23 | pass→pass | 3,060 | 2,843 | -7% | 1 | 1 | 0% | 609 | 1,128 | +85% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 21 counted toward the lift figure. The other 2 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +43 percentage points is the difference between those two pass rates over the 21 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.