LLM Mart Basic

Breaks down campaign performance by geographic location at whatever level matters — country, state, city, DMA, zip code. Flags underperforming geos that are quietly eating budget and high-performing ones that deserve more spend. Recommends geo bid adjustments or campaign splits.

Comprehensive Google Ads account health analysis detecting wasted spend, search term leaks, negative keyword gaps, bid strategy issues, and Quality Score problems. Use when analyzing campaign data, pasting Google Ads exports, reviewing account performance, or requesting a full di

Build detailed B2B buyer personas with pain points, objections, buying triggers, and messaging angles. Use when given a product and market to research ideal customer profiles, creating buyer personas, or needing to understand who you're selling to before launching campaigns. Plat

Identifies where your own keywords and campaigns are competing against each other in Google Ads auctions. Finds duplicate keywords across campaigns, overlapping match types that trigger the same queries, and ad groups stealing traffic from each other — all of which inflate your C

Reviews your landing pages against the ads driving traffic to them. Checks for message match between ad copy and page content, CTA clarity, above-the-fold alignment, form friction, and flags any disconnects between what the ad promises and what the page delivers. Platform: Google

CRO analysis for landing pages evaluating headline clarity, CTA placement, trust signals, mobile friction, and conversion killers. Use when uploading a landing page screenshot, pasting a URL for review, requesting conversion rate optimization feedback, or auditing page effectiven

LinkedIn Ads campaign analysis for B2B marketers detecting CTR issues, audience quality problems, lead gen form friction, and budget inefficiencies. Use when pasting LinkedIn campaign exports, analyzing B2B ad performance, or auditing LinkedIn advertising spend. Platform: LinkedI

Meta/Facebook/Instagram Ads campaign structure analysis detecting creative fatigue, audience overlap, scaling opportunities, and iOS tracking verification issues. Use when pasting Meta account data, analyzing Facebook ad performance, reviewing Instagram campaigns, or requesting a

Tracks daily spend against monthly budget targets across all campaigns and accounts. Tells you exactly where you'll land at current pace, flags campaigns that are over or underspending, and calculates the daily budget adjustments needed to hit your target by month end. Platform:

Compares your key metrics against industry benchmarks for your specific vertical, campaign type, and platform. Tells you where you're ahead, where you're behind, and where there's room to improve — adjusted for your account size and spend level, because a $10K/month account and a

Create scalable programmatic SEO page templates with title patterns, internal linking logic, schema markup, and thin content avoidance strategies. Use when given a niche and data source to build page templates, establishing programmatic SEO structure, or scaling content productio

Breaks down Quality Score components for your Google Ads keywords — expected CTR, ad relevance, and landing page experience — and tells you exactly which component is dragging each keyword down, with specific fixes ranked by potential CPC impact. Platform: Google.

Reddit Ads campaign analysis detecting community targeting issues, creative fatigue, bid inefficiencies, and subreddit performance problems. Use when pasting Reddit Ads data, analyzing subreddit targeting, or auditing Reddit advertising spend for B2B or B2C campaigns. Platform: R

Analyzes your conversion lag data to determine the optimal retargeting window for each audience segment. Tells you whether your 30-day retargeting window should actually be 7 days, 14 days, or 60 days based on when people actually convert after their first visit. Platform: Meta.

Projects your ROAS for the next 30, 60, and 90 days based on current performance trends, seasonality patterns from your historical data, and planned budget or campaign changes. Gives you a range with confidence intervals, not a single number pretending to be precise. Platform: Go

Analyzes your search term reports across all campaigns and surfaces high-intent terms you're not bidding on yet. Groups them by theme, estimates their potential volume and CPA, and recommends match types and starting bids for each. Platform: Google.

Generate consistent UTM parameters, GA4 event naming, and conversion tracking specs following taxonomy best practices. Use when describing campaign structure, requesting UTM links, needing GA4 event names, or wanting to standardize tracking nomenclature across marketing channels.

Scans your Google and Meta accounts for money being spent on search terms, placements, audiences, and ads that produce zero or near-zero conversions. Delivers clean exclusion lists you can upload directly. Platform: Google and Meta.

Generates a plain English summary of everything that happened across all your accounts this week. What improved, what declined, what needs immediate attention, and what to prioritize next week. The Monday morning briefing that saves you an hour of pulling reports and context-swit

개인사업자의 개업부터 매출·지출, 신고, 납부·환급, 증명, 정정·폐업까지 홈택스 업무를 연결한다. 여러 업무가 섞였거나 무엇부터 해야 할지 모를 때 사용하며, Free 안내와 설치된 Pro 계산·대조 및 전문가 검토 범위를 구별한다.

A green PR, a controller reporting success, and not one line of the new code running

Convert a Claude Code or Codex session JSONL file into an animated replay of the conversation.

Convert the current session's work into a shareable blog post, case study, or social thread.

Extract writing style from exemplar text to create a reusable style profile.

Extract your writing voice from samples into a reusable profile

Generate text in your extracted writing voice

Run learning pass on manually edited text to improve voice profile

Review existing text against a voice profile

Record browser sessions using Playwright

Create terminal recordings with VHS tape scripts

Cross-artifact consistency analysis across spec.md, plan.md, and tasks.md after task generation

Generate a custom checklist for the current feature based on user requirements.

Ask targeted questions to resolve spec ambiguities

Create/update project constitution from principle inputs, syncing dependent templates

Assess the codebase against spec, plan, and tasks, then append unbuilt work as new convergence tasks

Execute the implementation plan by processing all tasks from tasks.md

Execute implementation planning from spec to generate design artifacts.

Create or update the feature specification from a natural language feature description.

Bootstrap spec-driven development workflow at the start of a session

Generate dependency-ordered tasks.md from design artifacts

Convert tasks.md entries into GitHub Issues

Make any song you can imagine

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

Curated, verified Agent Skills powered by ModelStudio.

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

A persistent workspace for development work that self-improves and continues beyond one session.

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.