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Showing 2 open source projects for "metadata"
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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MCPorter
Call MCPs via TypeScript, masquerading as simple TypeScript API
...It addresses the complex differences between the two editions’ world formats, block states, biomes, and entity representations, giving players a seamless way to bring beloved Java worlds into the Bedrock ecosystem. The tool analyzes and converts chunks, block definitions, and metadata to a format Bedrock can interpret, ensuring terrain, constructions, and most in-game elements remain recognizable and playable after conversion. Its command-line workflow simplifies what would otherwise be a manual and error-prone process, allowing users to specify source worlds, conversion settings, and target outputs with clarity and control. -
2
skills
The open agent skills tool - npx skills
skills is a CLI that turns “agent skills” into a portable, installable ecosystem, letting developers add reusable instruction sets to many different coding agents from a single command. Instead of hardcoding prompts per tool, it standardizes skills as SKILL.md files with structured metadata so they can be discovered, listed, installed, updated, and version-tracked consistently. The CLI supports pulling skills from common git sources, including GitHub shorthand, full URLs, direct paths inside repos, GitLab URLs, generic git remotes, and even local folders. It is designed to work across a wide range of agents and editors, so one skill package can be installed into multiple agent-specific directories without rewriting anything for each environment. ...
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