itsjwill

Save important context to persistent memory for future sessions. PROACTIVELY USE THIS when you detect: - Decisions: "let's go with", "decided to", "chose", "went with" - Learnings: "I learned", "turns out", "TIL", "realized", "discovered" - Errors resolved: "fixed", "the problem was", "solution was" - Client info: names, emails, phone numbers, addresses, invoice amounts - Preferences: "I prefer",

Load relevant memories at session start for context continuity. IMPORTANT: Use this AUTOMATICALLY at the START of every session. Search for memories related to: - Current working directory/project - Recent activity (last 7 days) - Topics the user mentions in their first message Execute silently - do not announce what you're loading.

Generate and save a session summary before ending conversation. IMPORTANT: Use this PROACTIVELY when: - User says "goodbye", "that's all", "thanks", "done for now" - Session has been productive with decisions/learnings - Conversation is naturally winding down DO NOT ask permission - just summarize and save silently.

Search cloud memory backup when local results are insufficient. Use when memory_search returns few/no results for a topic you know was discussed before. Cloud preserves everything - even memories that were deleted or compacted locally.

Landing page quality assessment for paid advertising campaigns. Evaluates message match, page speed, mobile experience, trust signals, form optimization, and conversion rate potential.

Cross-platform creative quality audit covering ad copy, video, image, and format diversity across all platforms. It detects creative fatigue, evaluates platform-native compliance, and provides production priorities.

Analyzes competitor ad intelligence across Google, Meta, LinkedIn, TikTok, and Microsoft, including ad copy, creative strategy, keyword targeting, and estimated spend, to identify competitive gaps and opportunities.

Deep analysis of TikTok Ads, covering creative quality, tracking, bidding, campaign structure, and TikTok Shop. It evaluates 25 checks, emphasizing a creative-first strategy, safe zone compliance, and Smart+ campaigns.

Strategic paid advertising planning with industry-specific templates. Covers platform selection, campaign architecture, budget planning, creative strategy, and phased implementation roadmap.

Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. It evaluates 74 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings.

Performs a deep analysis of Meta Ads, covering Facebook and Instagram advertising. It evaluates 46 checks across Pixel/CAPI health, creative diversity and fatigue, account structure, audience targeting, and includes an Advantage+ assessment.

YouTube Ads specific analysis covering campaign types, creative quality, audience targeting, and measurement. Evaluates video ad performance across skippable, non-skippable, bumper, Shorts, and Demand Gen formats.

Deep analysis of LinkedIn Ads for B2B advertising. Evaluates 25 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy, including Thought Leader Ads, ABM, and predictive audiences.

Microsoft/Bing Ads deep analysis covering search, Performance Max, Audience Network, and Copilot integration. Evaluates 20 checks with focus on Google import validation, unique Microsoft features, and cost advantage assessment.

Comprehensive paid advertising audit and optimization for any business type. It includes multi-platform audits (Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads), deep analysis, conversion tracking, creative assessment, budget and bidding optimization, and compliance verification, with industry detection for SaaS and e-commerce.

Reviews budget allocation and bidding strategies across all ad platforms, evaluating spend distribution, strategy appropriateness, and scaling readiness. It identifies campaigns to kill or scale using the 70/20/10 rule, 3x Kill Rule, and 20% scaling rule.

Full multi-platform paid advertising audit with parallel subagent delegation. It analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads accounts, generating a health score per platform and an aggregate score.

A 4-pass AI text humanization engine that removes 30 AI writing patterns, injects authentic voice, manipulates statistical fingerprints, and self-verifies output quality with 8-point scoring. It features 6 voice modes: casual, professional, academic, creative, AI agents/TTS, and cold outreach.