القائمة
X (Twitter) Ads playbook — objectives, targeting, ad formats, and realistic expectations. Use when planning, reading, auditing, or launching X Ads, or porting a campaign to X.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | platform-x |
| description | X (Twitter) Ads playbook — objectives, targeting, ad formats, and realistic expectations. Use when planning, reading, auditing, or launching X Ads, or porting a campaign to X. |
Fast, conversational, timeline-native. Structure is campaign → ad group → ad. Set expectations honestly: X can deliver cheap clicks that do not convert, so tie every campaign to a real conversion, not engagement.
list_connected_accounts, then list_campaigns(platform="x").pull_x_ads_performance(days=7) for spend, clicks, and CPA per campaign.generate_text_ad / generate_image_ad / generate_video_ad and apply brand voice from ${CLAUDE_PLUGIN_ROOT}/context/brand-and-safety.md.create_campaign_plan + upsert_plan_entity; forecast_campaign for reach and CPA. Run campaign-preflight: geo, tracking (verify_pixel_ownership), sane budgets.execute_campaign_plan, then enable_campaign. Nothing that spends money goes live without a clear go.list_campaigns(platform="x") and report the real ID. Start small; measure conversions before scaling with the optimize skill.Porting from another platform? Use the replicate skill. Search keywords translate to X keyword and interest targeting, but re-check conversion intent before spending.
Expand targeting without wrecking CPA — lookalike ladders, seed quality, audience layering, and exclusion hygiene across platforms. Use when a user wants to scale beyond exhausted audiences, build lookalikes, fix audience fatigue, or set up exclusion lists.
Build a post-cookie first-party data strategy — Enhanced Conversions, server-side tracking, Consent Mode v2, and activating owned data for targeting. Use when a user wants to recover lost conversion data, set up Enhanced Conversions or CAPI, implement consent mode, or plan for cookie deprecation.
Verify that ad campaigns actually target the geographies they claim — location criteria exist, presence-only matching is set, and click geography matches intent. Use when auditing campaigns, investigating cheap clicks or missing conversions, or reviewing any campaign before and after launch.
Diagnose and improve Google Ads Quality Score — Expected CTR, Ad Relevance, and Landing Page Experience — to cut CPCs and lift Ad Rank. Use when CPCs look high for the vertical, impression share is capped by rank, or keywords sit at QS 5 and below.
Optimize Google Shopping — product feed quality, titles, Merchant Center disapprovals, supplemental feeds, custom-label segmentation, and Shopping vs Performance Max structure. Use when Shopping impression share is low, products are disapproved, or feed titles and labels need work.
Design and run incrementality tests that measure true lift from ads — geo holdouts, platform lift studies, significance math, and iCPA decisions. Use when a user wants to know whether ads actually cause conversions, design a holdout test, or decide budget based on real lift.