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Found 859 Skills
This skill should be used when the user asks to "create a PRD for Replit", "write product requirements", "document app specifications", "prepare a product spec", or needs a comprehensive specification document that Replit Agent can use for complex, multi-feature applications. Creates structured PRDs optimized for AI-powered development.
Generate branded design elements and visual assets. Use when creating logos, icons, brand patterns, or other branded visual elements.
SAP HANA Machine Learning Python Client (hana-ml) development skill. Use when: Building ML solutions with SAP HANA's in-database machine learning using Python hana-ml library for PAL/APL algorithms, DataFrame operations, AutoML, model persistence, and visualization. Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics, HANA DataFrame, ConnectionContext, classification, regression, clustering, time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
Generate audio tones, noise, DTMF signals, and simple sound effects programmatically. Export to WAV or MP3 format.
Compare two datasets to find differences, added/removed rows, changed values. Use for data validation, ETL verification, or tracking changes.
Multi-instance (Multi-Agent) orchestration workflow for deep research: Split a research goal into parallel sub-goals, run child processes in the default `workspace-write` sandbox using Codex CLI (`codex exec`); prioritize installed skills for networking and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + key conclusions/recommendations summary". Applicable to: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-Agent parallel research/multi-process research".
This skill should be used when user asks about "GCloud logs", "Cloud Logging queries", "Google Cloud metrics", "GCP observability", "trace analysis", or "debugging production issues on GCP".
Use when asked to inspect video file metadata, get video duration, resolution, codec information, frame rate, or bitrate.
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
OAuth 2.0 and OpenID Connect authentication with secure flows. Use for third-party integrations, SSO systems, token-based API access, or encountering authorization code flow, PKCE, token refresh, scope management errors.
Expert guide for integrating Oasis into Tauri applications. Use when working with oasis-sdk, auto-updates, crash reporting, user feedback, release workflows, or any Oasis-powered Tauri project.
Use this skill when the user wants to interact with remote Sprites from their local machine — listing sprites, executing commands, managing checkpoints, transferring files, controlling network policy, or coordinating work across multiple sprites.