LinkedIn Automation
Automate LinkedIn marketing, lead generation, content publishing, and professional networking
Skills for your AI
Automate LinkedIn marketing, lead generation, content publishing, and professional networking
Use when Codex should act as the Loan Officer Assistant specialist from Agency Agents. Comprehensive loan officer assistant for mortgage and lending professionals — covering borrower intake, pre-qualification, document collection, pipeline management, complian
Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the user runs /ar:loop or asks to run an autoresearch experiment continuously on a schedule.
Use when Codex should act as the LSP/Index Engineer specialist from Agency Agents. Language Server Protocol specialist building unified code intelligence systems through LSP client orchestration and semantic indexing
Generates images from text prompts with Luma AI's Photon model, including prompt specs, parameter collection, and iteration. Use when the user asks to create or generate an image from a description, check the Luma API key, or refine a previously generated imag
Automate Mailchimp email marketing campaigns, audience management, automations, and analytics
Analyzes manufacturing process data, designs DOE experiments, runs statistical tests, and drafts optimization reports, cost-benefit and compliance reviews. Use when the user provides process or experimental data, asks to find bottlenecks, plan experiments, ass
Turns retail transaction data into cross-selling, promotion, inventory, pricing, and layout insights through data cleaning, association rule mining, customer segmentation, and recommendations. Use when a retail manager uploads sales or transaction files and as
Turns customer, sales, and market data into segment definitions, profiles, targeting strategies, and sales actions. Use when the user needs market segments identified, customer profiles built, targeting or messaging developed, competitors analyzed, sales forec
Analyzes sales and market data into trend, segmentation, forecasting, competitor, pricing, and performance reports. Use when the user needs data cleaned and categorized, sales trends identified, customers segmented, forecasts built, competitors benchmarked, or
Turns market, competitor, customer sentiment, pricing and regulatory data into actionable technical sales insights. Use when the user asks for market trend analysis, competitor comparisons, sentiment breakdowns, forecasts, segmentation, pricing or product perf
Maps acquisition, nurture, conversion, and retention funnel stages with asset and KPI requirements. Use when the user asks to design or diagnose a marketing funnel.
Collects, organizes, and analyzes marketing data into KPIs, ROI, segmentation, funnel, forecast, and satisfaction reports. Use when the user asks to gather marketing data, identify KPIs, benchmark competitors, compare periods or channels, evaluate campaign ROI
Use when a user asks how to win first customers, whether doing X will produce Y, how to write an ad or judge a marketing test — a marketer's decision framework, not a tactic library.
Runs mechanistic interpretability experiments on PyTorch models with nnsight, locally or remotely via NDIF, covering activation analysis, patching, interventions, and generation. Use when the user wants to inspect or modify hidden states, attention, or logits,
Guides causal intervention experiments on PyTorch models with pyvene, covering causal tracing, activation patching, interchange intervention training, intervention configuration, and experiment tracking. Use when a user wants to localize factual associations,
Guides mechanistic interpretability experiments with TransformerLens, covering activation patching, circuit analysis, induction head detection, activation caching, and model setup. Use when the user asks to inspect or manipulate transformer internals, replicat
Guides MLflow experiment tracking, model registry management, deployment, reproducibility, and autologging with code snippets and best practices. Use when logging runs, registering or promoting models, serving models, rerunning experiments, or enabling autolog
Generates ready-to-run TensorBoard setup, logging, comparison, and profiling code for PyTorch and TensorFlow training scripts. Use when the user asks to set up TensorBoard, log scalars, images, histograms, graphs, embeddings, hyperparameters, text, or PR curve
Analyzes mobile game performance, assets, memory, battery, network, UI/UX, analytics, A/B tests, and monetization to produce prioritized optimization recommendations. Use when a developer asks to find bottlenecks, cut file size, reduce battery or data use, imp
Manages the NanoClaw mount allowlist so agent containers can access host directories, letting the owner view, add, remove, or reset entries. Use when the owner asks to see mount configuration, grant or revoke agent access to a directory, or clear all directory
Generates and edits images from text prompts with Stable Diffusion pipelines, including image-to-image, inpainting, LoRA adapters, ControlNet conditioning, and scheduler tuning. Use when the user asks to create an image from a prompt or transform, fill, or res
Analyzes network traffic, forecasts growth, and produces capacity, redundancy, and upgrade plans from provided logs, metrics, and inventories. Use when a systems administrator needs bandwidth analysis, growth projections, device or application inventory assess
Plans networking strategy, research, outreach, events, and follow-up for business development work. Use when identifying target industries and decision-makers, drafting outreach or follow-up messages, planning events or webinars, gathering industry trends and