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Found 530 Skills
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.
AI Intelligent Email Assistant that analyzes email content to generate summaries, determines whether a reply is needed, and creates professional reply drafts based on context.
AdvantageKit logging framework best practices for FRC Java robots (2026 / AKit 4.x). Use when implementing or reviewing AdvantageKit IO layers, Logger usage, replay-compatible subsystem design, signal logging, output logging, or deterministic simulation. Triggers on: AdvantageKit, Logger.recordOutput, Logger.processInputs, LoggedRobot, IO interfaces, IOInputs, AutoLog annotation, replay, log-replay, non-deterministic, or any AdvantageKit-related robot code task.
Operate and evolve agent-memory-workbench with replay-first memory, minimal JSON edits, and a strict two-branch policy (normal + human-verification).
Reads open review comments from a GitHub PR, triages them, applies code fixes, and drafts reply messages. Use when user wants to address PR comments, says 'address review comments', 'fix PR feedback', 'handle PR comments', 'respond to review', or mentions addressing code review feedback on a pull request.
Replicate integration. Manage data, records, and automate workflows. Use when the user wants to interact with Replicate data.
Reply.io integration. Manage Persons, Organizations, Leads, Activities, Notes, Files and more. Use when the user wants to interact with Reply.io data.
Prompting techniques for AI video generation models on Replicate. Use when writing prompts for video models or building video generation features.
Run AI models on Replicate via predictions, webhooks, and streaming.
Prompting techniques for AI image generation and editing models on Replicate. Use when writing prompts for image models or building image generation features.
Execute AI image generation with optimal quality. Use when you need to generate images via Replicate API. Triggers on: generate image, create visual, product shot. Outputs generated images for feedback and iteration.
Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments (Atlas/self-managed/Kubernetes), implementing security, or integrating with applications through 15+ official drivers. (project)