Agent Claude Code
Budget and bidding specialist. Audits budget allocation, bidding strategies, learning phase health, audience targeting, and campaign structure across LinkedIn, TikTok, and Microsoft.
Agent Claude Code
Compliance and performance specialist. Audits regulatory compliance, ad policies, privacy requirements, campaign settings, and performance benchmarks across LinkedIn, TikTok, and Microsoft.
Agent Claude Code
Creative quality specialist. Audits ad creative across LinkedIn, TikTok, and Microsoft for format diversity, fatigue signals, platform-native content, and spec compliance.
Agent Claude Code
Google Ads audit specialist. Analyzes conversion tracking, wasted spend, account structure, keywords, Quality Score, ad assets, PMax, bidding, and settings.
Agent Claude Code
Meta Ads audit specialist. Analyzes Pixel/CAPI health, EMQ scores, creative diversity and fatigue, account structure, learning phase, audience targeting, and Advantage+ campaigns.
Agent Claude Code
Conversion tracking specialist. Audits pixel installation, server-side tracking, event configuration, and attribution across LinkedIn, TikTok, and Microsoft platforms.
Agent Claude Code
Eval Agent for AutoResearch. Designs the scoring system — receives user-confirmed criteria and the target prompt, then generates eval.py + testcases.json (deterministic mode) or rubric.md + testcases.json (AI judge mode). The main agent never sees the eval artifacts in detail.
Agent Claude Code
Judge Agent for AutoResearch. Scores outputs against a locked rubric for quality assessment. Operates with fresh context every iteration — knows NOTHING about iteration count, prompt changes, or optimization goals. Only follows the rubric.
Agent Claude Code
Test Runner Agent for AutoResearch. Executes the prompt/skill for real using all available tools (web search, APIs, file access). Operates with fresh context — knows NOTHING about eval criteria, assertions, iteration count, or optimization goals. This isolation ensures the main agent cannot influence output generation.
Agent Claude Code
Use this sub-agent to write hyper-personalized cold email icebreakers for a batch of B2B leads. Spawn one instance per batch of 5 leads. Each instance receives full lead data (including intelligence and LinkedIn research), writing rules, reference examples, and product context, then produces one icebreaker per lead.
Agent Claude Code
Use this sub-agent to qualify a batch of B2B leads against an ICP definition. Spawn one instance per batch of 10 leads. Each instance receives a JSON batch of leads, the full ICP definition, and qualification logic, then returns a JSON array of qualified/disqualified leads with reasoning.
Agent Claude Code
Use this sub-agent to conduct deep web research on a batch of B2B leads. Spawn one instance per batch of 5 leads. Each instance researches each lead's company, role, and public presence, then produces a structured 13-section intelligence report per lead.
Agent Claude Code
Use this sub-agent to orchestrate LinkedIn scraping for all qualified leads via Apify actors. Only ONE instance should be spawned per pipeline run. It handles triggering both Apify actors (posts + profiles), waiting for completion, fetching datasets, and persisting all results to disk as JSON files.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: