ai-visibility
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Plan, audit, build and scale ads on Meta, Google, TikTok and LinkedIn through the ad accounts connected to Distribb, following the paid ads playbook
$ npx -y skills add Bomx/distribb-skill --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
/paid-adsContext preview
What this command does when you run it.
Plan, audit, build and scale ads on Meta, Google, TikTok and LinkedIn through the ad accounts connected to Distribb, following the paid ads playbook
description: Plan, audit, build and scale ads on Meta, Google, TikTok and LinkedIn through the ad accounts connected to Distribb, following the paid ads playbook argument-hint: (optional: audit | launch | scale | creative | report, or a network such as "google ads") allowed-tools: Bash, Read, Glob, Grep
Load the Distribb skill (Integrations section) and read `references/paid-ads-playbook.md` first. `$ARGUMENTS` may name a focus (`audit`, `launch`, `scale`, `creative`, `report`) or a network.
1. Resolve `project_id` (`GET /api/v1/projects`), then read the setup: `tools:call --tool get_ads_setup` (mode read). It shows the ad accounts, currency, minimum daily budgets, Pages, Instagram accounts, pixels with their latest events, and Distribb's budget ceilings.
2. When the account has it, ask the knowledge base before deciding: `tools:call --tool search_ads_knowledge --args '{"query": "<the situation in one sentence>", "network": "<meta|google|tiktok|linkedin>"}'`. 3. **audit / report:** `list_ad_campaigns` and `list_my_ads` (with `days`), plus `audit_meta_ads` or `audit_marketing` (area `google_ads`, `tracking`) when available. Report spend, results, cost per result and the trend, then the one or two changes worth making, each with its reason. 4. **creative:** research competitors (`get_competitor_ads_setup`, `scan_competitor_ads` one target per call, `list_competitor_ads`), then make ads with `create_video_ad` or from the business's best organic videos (`get_top_social_posts`, then `create_ads_from_own_videos`). Settle the angle, offer and audience with the user first. 5. **launch:** check tracking first (playbook checklist). Find targeting ids with `search_ads_targeting`, size it with `estimate_ads_reach`, then build with `create_meta_campaign`, `create_google_campaign`, `create_tiktok_campaign`, `create_linkedin_campaign` or `launch_video_ad`. The first call is a preview: show the full setup, budget and audience. Only after the user approves, run it again with `--mode action` and `"confirm": true`. New campaigns are created paused; resuming is its own approved step (`set_ad_campaign_status`). 6. **scale:** follow the playbook's scaling rules (raise budgets gradually, duplicate winners instead of editing them, raise the budget rather than the target on budget-limited Google campaigns). Every change is preview, approval, then `confirm: true` (`update_ad_campaign_budget`, `update_ads`). 7. Anything else on the ad accounts (audiences, lead forms and leads, pixels, conversions, keywords and negatives, search terms, sitelinks): `ads_find_operations` then `ads_call`, same preview and approval rule.
Never spend, resume or raise a budget without the user's explicit yes for that specific change. Report with the ad account's currency and the campaign's status from `list_ad_campaigns` as proof.
SEO automation for AI agents. Use any AI model you want. Distribb provides the infrastructure: real keyword data, backlinks from real businesses, a Google Search Console audit, CMS publishing, content calendar, social repurposing and direct social posting,
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