Showing 4 open source projects for "lifecycle"

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  • 1
    Claude Blog

    Claude Blog

    Claude Code blog skill suite

    Claude Blog is a Claude Code blog skill suite for planning, writing, optimizing, and auditing long-form content. It is built as a full-lifecycle blog engine with 30 sub-skills, 5 agents, 12 content templates, on-demand references, Python scripts, and automated tests. The workflow is designed to produce production-ready content rather than one-shot AI drafts. It uses a five-gate delivery contract covering capability, format, visual quality, content review, and asset integrity.
    Downloads: 6 This Week
    Last Update:
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  • 2
    TapeAgents

    TapeAgents

    A framework that facilitates all stages of LLM development

    TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Khazix Skills

    Khazix Skills

    Digital Life Kazik Open Source AI Skills Collection

    ...It acts as a pipeline that analyzes a repository’s metadata, extracts relevant information such as README content and commit hashes, and converts it into a standardized skill format that can be integrated into agent ecosystems. The system emphasizes lifecycle management by embedding versioning, traceability, and metadata directly into generated skill files, allowing future updates and synchronization with the original repository. It also generates wrapper scripts that enable AI agents to interact with the underlying repository functionality without requiring deep manual integration. ...
    Downloads: 4 This Week
    Last Update:
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  • 4
    MineContext

    MineContext

    MineContext is your proactive context-aware AI partner

    ...Unlike traditional chat-based assistants, MineContext operates in the background and delivers proactive outputs such as daily summaries, task suggestions, and contextual reminders without requiring explicit prompts. It is built around a context engineering framework that manages the full lifecycle of data, including capture, processing, storage, retrieval, and consumption. The platform emphasizes privacy through a local-first architecture, allowing users to keep their data stored and processed on their own device rather than relying on external cloud services.
    Downloads: 1 This Week
    Last Update:
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