By apourmd941
Selran Hub — connect Claude to the local control room for the Selran ecosystem. Query your connected folders, databases, and APIs as MCP data sources, check connection health, and inspect schemas — all against the Hub daemon running privately on 127.0.0.1. Requires the free Selran Hub installed (pipx install git+https://github.com/apourmd941/selran-hub, or the signed macOS app). Local-first: no telemetry, no cloud backend.
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npx claudepluginhub apourmd941/selran-hub --plugin selran-hubSelran Greenloop — the loop that runs until green. Point it at any codebase and it maps the architecture, reconstructs the spec, audits against ten quality categories, fixes what it finds, and adversarially re-verifies — repeating until nothing is left to fix. Five skills: cartographer, spec-bootstrap, pre-commit-verification, app-audit, audit-fix. Free for personal, non-commercial use.
context-keeper — cross-session memory for Claude Code. Recall ranked, token-budgeted context from every past session (recall, list_sessions, list_projects MCP tools), with an optional auto-recall hook and a local mind-map UI of your projects, topics, and sessions. Local-first: your transcripts are indexed on your machine by a local embedding model; nothing is uploaded. Requires the free context-keeper daemon (cargo install or repo build).
MCP server that saves 98% of your context window with session continuity. Sandboxed code execution in 11 languages, FTS5 knowledge base with BM25 ranking, and automatic state restore across compactions.
Open-source, local-first Claude Code plugin for token reduction, context compression, and cost optimization using hybrid RAG retrieval (BM25 + vector search), reranking, AST-aware chunking, and compact context packets.
Give your AI a memory — mine projects and conversations into a searchable palace. 35 MCP tools, auto-save hooks, and guided setup.
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub