From meta-ads-toolkit
Detecta adsets sangrando (gastando sem resultado) nas últimas horas. Triggers on "ta sangrando", "adset gastando sem lead", "verifica sangramento", "alerta de gasto", "o que ta perdendo dinheiro".
How this skill is triggered — by the user, by Claude, or both
Slash command
/meta-ads-toolkit:bleed-checkThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Puxa dados das últimas horas de todas as campanhas ativas.
Puxa dados das últimas horas de todas as campanhas ativas. Identifica adsets com spend acima do threshold e zero leads.
--threshold-spend (padrão: R$50): Pausar se spend exceder este valor na janela--threshold-leads (padrão: 0): Pausar se leads estiverem neste nível ou abaixo--window-hours (padrão: 6): Janela de lookback em horas--dry-run: Identificar mas NÃO pausar nem alertarget_adsets_by_adaccount (account_id=act_1930115874158365, status=ACTIVE)
get_adset_insights (
adset_id=X,
time_range: últimas {window_hours} horas,
fields: spend, leads, impressions, clicks, cpl
)
Identificar sangrando: spend > threshold-spend E leads <= threshold-leads
Aplicar quality-gates:
Para cada adset sangrando (se não --dry-run):
update_adset(adset_id, status=PAUSED)Gerar relatório de sangramento
BLEED CHECK — {data hora}
{N} adsets sangrando identificados:
[Nome do Adset]
Campanha: [nome]
Spend: R$XX | Leads: 0 | Janela: 6h
Status: PAUSADO
Total desperdiçado: R$XX
Se --dry-run: mostrar relatório mas sem pausar.
./logs/bleed-check.lognpx claudepluginhub ronydrop/ads-toolkit --plugin meta-ads-toolkitAnalyzes Meta/Facebook/Instagram ad campaigns using the 3 Q's methodology (What happened / Why / What to do) with traffic-light benchmarks from the Meta Marketing API. Diagnoses conversion issues, evaluates ROAS/CPL/CPM/CTR, audits sales funnels, detects audience fatigue, and recommends optimizations.
Evaluates ad budget allocation, bidding strategies, and scaling readiness across Google, Meta, LinkedIn, TikTok. Recommends campaigns to kill or scale using 70/20/10 rule, 3x Kill Rule.
Evaluates ad budget allocation and bidding strategies across platforms using 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Identifies campaigns to kill or scale.