Results for “wit-ai”

Interact with GitHub issues - create, list, and view issues.

UI/UX design intelligence with searchable database

Pair a remote AI agent with your browser. (gstack)

Execute email operations with platform-specific optimizations and security protocols.

Use when ASTA Powerproject integration, API development, or data synchronization is needed. This agent specializes in ASTA Powerproject connectivity within the IntegrateForge AI ecosystem.

Use when Primavera P6 integration, API development, or data synchronization is needed. This agent specializes in Primavera P6 connectivity within the IntegrateForge AI ecosystem.

Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `stock-analysis`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Analyze stocks and cryptocurrencies with 8-dimension scoring via AIsa API. Provides BUY/HOLD/SELL signals with confidence levels, entry/target/stop prices, and risk flags. Supports single or multi-ticker analysis with optional fast mode and JSON output. Use when the user asks to analyze a stock, check a ticker, or compare investments.

Expert strategy advisor for products built on LLMs or agents — not general product strategy (see `product-strategy` for that). Use this — proactively and without waiting to be asked — whenever choosing where to apply AI in a product, deciding between RAG and fine-tuning, designing how much autonomy an AI feature should have, evaluating whether an AI feature is actually defensible, or deciding whether to add AI to a feature at all. Also triggers for: "should this be an agent or a simple LLM call", "how much autonomy should this feature have", "RAG vs fine-tuning", "is this AI feature defensible", "our AI feature keeps hallucinating and users don't trust it", "should we build this with AI or just ship it deterministic", "AI product wedge", "what happens to this feature when the models get better", "human-in-the-loop design for AI features". Produces a decision-focused brief: the wedge, the architecture choice, the autonomy level, and the defensibility bet — each with an explicit trade-off.

Designs and implements a Google Cloud solution for live, bidirectional multimodal streaming workloads with AI agents, covering requirements discovery, architecture design, and deployment planning.

Use when designing a course, assessment, or student-feedback workflow and deciding where AI assistance is acceptable, when grading or feedback must stay within academic-integrity and FERPA/KVKK boundaries, or when AI-use rules for students need stating.

Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.

Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `tavily-extract`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Extract clean, readable content from one or more URLs using Tavily Extract via AIsa API. Useful for reading full articles without visiting the page. Use when: the user needs web search, research, source discovery, or content extraction.

Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `llm-router`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Unified LLM Gateway - One API for 70+ AI models. Route to GPT, Claude, Gemini, Qwen, Deepseek, Grok and more with a single API key. Use when: the user needs model routing, provider setup, or Chinese LLM access guidance.

Requires python3, and AISA_API_KEY. Uses the supplied AISA_API_KEY to send requests to https://api.aisa.one. Native-first ClawHub plugin for `multi-search`. Ships the packaged AIsa skill with an `openclaw.plugin.json` manifest and a Claude-compatible bundle fallback. Parallel multi-source search combining Web, Scholar, Smart, and Tavily results with confidence scoring and AI synthesis. Best for comprehensive research requiring cross-source validation. Use when: the user needs web search, research, source discovery, or content extraction.

Prevents AI-introduced regressions with sandbox-mode API testing, automated bug-check workflows, and patterns that catch blind spots where the same model writes and reviews code.

Automatically detects your project stack and fills AI context slots, asking only for what it can't infer — your goal and the human 'why' — to reach 100% AI-readiness with minimal typing.

Analyzes article structure, identifies positions requiring visual aids, and generates illustrations with consistent type, style, and palette.

Emulates Andrew Ng's teaching style to explain AI and machine learning concepts with structured, practical guidance.

Use when executive operations, organizational coordination, strategic execution, or executive support is needed. This agent specializes in executive operations within the ExecForge AI ecosystem.

Use when SaaS deployment, CI/CD pipelines, infrastructure automation, or platform operations is needed. This agent specializes in SaaS DevOps within the SaaSForge AI ecosystem.

Provides patterns to build Retrieval-Augmented Generation (RAG) systems for AI applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

Write efficient C code with proper memory management, pointer

Crl reference tool. Use when working with crl in security contexts.

Tls reference tool. Use when working with tls in security contexts.

Web application security scanner with proxy and active/passive scanning

Automate Gemini AI operations through Composio's Gemini toolkit via Rube MCP, with tool discovery and connection management.

Use when data management, data governance, data quality assurance, or data lifecycle management is needed. This agent specializes in data management within the ExecForge AI ecosystem.

Documents Mistral AI's visual design system including sunset gradient color palette, typography pairing of PP Editorial Old with Inter, spacing tokens, and layout patterns across six page types.

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK, with support for function tools, hosted tools, MCP servers, conversation threads, and streaming responses.

Create and manage persistent AI agents with threads, messages, runs, and tools using the Azure SDK for Java.

Generate award-level landing pages with cinematic GSAP motion, gapless bento grids, and strict AIDA structure.

Add governance, safety, and trust controls to AI agent systems with policy enforcement, intent classification, and audit trails.

Provides a persistent, queryable virtual filesystem backed by SurrealDB for AI agents, with a Rust core and a Python agent interface.

Build cross-platform AI chat interfaces with Makepad using MolyKit, covering async patterns, BotClient integration, and chat widgets.

Use when tenant data protection, data privacy compliance, data encryption, or data governance is needed. This agent specializes in SaaS data protection within the SaaSForge AI ecosystem.

Use when multi-tenant management, tenant onboarding, tenant support, or tenant lifecycle management is needed. This agent specializes in SaaS tenant management within the SaaSForge AI ecosystem.