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Found 964 Skills
Plan or execute a replication of a paper, claim, or benchmark. Use when the user asks to replicate results, reproduce an experiment, verify a claim empirically, or build a replication package.
Set up and run Playwright tests with Replay Browser to record test executions for debugging and performance analysis.
Classify a batch of influencer replies into actionable categories (interested, negotiating, declined, needs info, ghosted) and generate a suggested next action for each. This skill should be used when triaging creator responses, classifying influencer replies, sorting outreach responses, categorizing creator DMs, reviewing batch replies, processing influencer inbox, prioritizing creator follow-ups, organizing outreach results, checking who replied to a campaign, figuring out which creators to follow up with, or cleaning up a messy outreach thread. For writing the initial outreach messages, see outreach-writer. For negotiating rates with creators, see rate-negotiation-playbook.
Summarize a chat and draft 2 reply options. Stops before sending.
Automatic response rules, patterns, and scheduled messages
When the user wants to design or optimize replenishment strategies, determine replenishment policies, or improve inventory flow between locations. Also use when the user mentions "inventory replenishment," "stock replenishment," "min-max inventory," "DRP," "auto-replenishment," "vendor-managed inventory," "forward pick replenishment," or "retail store replenishment." For safety stock calculations, see inventory-optimization. For multi-echelon networks, see multi-echelon-inventory.
Find AI models on Replicate using search and curated collections.
Use these skills when you need to monitor replication health, manage sync states between nodes, and audit database roles and security settings to ensure environment integrity.
Evaluates which SaaS tools can be replaced with AI agents. Takes a list of current SaaS subscriptions with costs, assesses replacement feasibility, estimates build vs buy economics, identifies Claude+MCP alternatives, and generates a comprehensive replacement plan with priority matrix, ROI analysis, implementation timeline, and risk assessment.
Use this skill when working on multiplayer networking, replication, RPC calls, net role logic, server/client authority, prediction, or synchronizing game state. Also use when the user mentions 'DOREPLIFETIME', 'dedicated server', 'replicated', or 'net role'. See references/replication-patterns.md for common patterns and references/rpc-decision-guide.md for RPC type selection. For GAS networking, see ue-gameplay-abilities.
Package and build custom AI models with Cog for deployment on Replicate. Use when creating a cog.yaml or predict.py, defining model inputs and outputs, loading model weights at setup time, building Docker images for ML models, serving locally with cog serve or cog predict, or porting a HuggingFace, GitHub, or ComfyUI model to run on Replicate. Trigger on phrases like "build a model", "package a model", "create a Cog model", "wrap a model", "containerize an AI model", "predict.py", "cog.yaml", "BasePredictor", or "Cog container", and when referencing cog.run, github.com/replicate/cog, or github.com/replicate/cog-examples. Covers GPU and CUDA setup, pget for fast weight downloads, async predictors with continuous batching, streaming outputs, and cold-boot optimization for image, video, audio, and LLM models. For pushing built models to Replicate, see publish-models. For running existing models, see run-models.
This skill should be used when the user asks to "create a replit prompt", "write a prompt for replit", "optimize for replit agent", "prepare instructions for replit", or mentions building something with Replit Agent. Transforms user requirements into optimized, structured prompts that Replit Agent understands and executes accurately with minimal iterations.