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Found 3,916 Skills
Terminal/PTY automation with persistent sessions. Use to run and interact with TUI applications, debug terminal apps, automate CLI workflows, or any terminal interaction. Trigger phrases include "run the TUI", "start the app", "debug the terminal", "interact with", "send keys", "what's on screen".
This skill should be used when the user asks for "model council", "multi-model", "compare models", "ask multiple AIs", "consensus across models", "run on different models", or wants to get solutions from multiple AI providers (Claude, GPT, Gemini, Grok) and compare results. Orchestrates parallel execution across AI models/CLIs and synthesizes the best answer.
End-to-end Initia development and operations guide. Use when asked to build Initia smart contracts (MoveVM/WasmVM/EVM), build React frontends (InterwovenKit or EVM direct JSON-RPC), launch or operate Interwoven Rollups with Weave CLI, or debug appchain/transaction integration across these layers.
Generate institutional-grade investment suitability reports including rationale, risk disclosure, and client suitability assessment. Use when the user asks to document investment decisions, create compliance reports, generate risk disclosures, prepare client-facing investment justifications, write suitability assessments, or produce fiduciary documentation for an investment recommendation or portfolio.
Analyze Rspack/Webpack bundles from local Rsdoctor build data without MCP. Zero-dependency JS CLI for chunk/module/package/loader insights.
Deploy and debug Eve-compatible apps via the CLI, with a focus on staging environments.
Troubleshoot common Eve deploy and job failures using CLI-first diagnostics.
Load first. Index of distilled Eve Horizon system docs for CLI usage, manifests, pipelines, jobs, secrets, and debugging.
Review code for architecture: module and layer boundaries, dependency direction, single responsibility, cyclic dependencies, interface stability, and coupling. Cognitive-only atomic skill; output is a findings list.
Browser automation for AI agents. Use when the user needs to navigate websites, read page content, fill forms, click elements, take screenshots, or manage browser tabs.
Bidirectional agent team communication via the meet-ai chat server. Agents send and receive messages through the CLI, visible in the web UI.
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".