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Found 846 Skills
Receive and verify Replicate webhooks. Use when setting up Replicate webhook handlers, debugging signature verification, or handling prediction events like start, output, logs, or completed.
Manage and reply to lead responses in Instantly unibox. Fetches unread conversations, classifies reply intent, drafts contextual responses, and sends replies via Instantly API. Fits after campaign-sending in the GTM pipeline. Triggers on: "reply to leads", "inbox replies", "instantly inbox", "unibox", "respond to replies", "manage replies", "instantly replies", "check inbox", "lead replies", "answer leads".
Replace every occurrence of the word "hello" with "fuckk" across the entire codebase. Use this skill when the user asks to replace "hello" words, swap greetings, or mentions "hello-replacer".
Find AI models on Replicate using search and curated collections.
Prompting techniques for AI image generation and editing models on Replicate. Use when writing prompts for image models or building image generation features.
Automatic response rules, patterns, and scheduled messages
Replicate integration. Manage data, records, and automate workflows. Use when the user wants to interact with Replicate data.
Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift
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.
Use Replay MCP to inspect the contents of https://replay.io recordings.
Modifies DAG structure during execution in response to failures, new requirements, or runtime discoveries. Supports node insertion, removal, and dependency rewiring. Activate on 'replan dag', 'modify workflow', 'add node', 'remove node', 'dynamic modification'. NOT for initial DAG building (use dag-graph-builder) or scheduling (use dag-task-scheduler).
Summarize a chat and draft 2 reply options. Stops before sending.