memobase
553Skill Claude CodeCodex
A Russian-language skill for searching a local knowledge base built from documents and other sources such as web pages, YouTube, audio, and Obsidian notes.
14,252 mods in this category, of every kind an agent can take. Each one carries what it costs per session, what the scan found, and whether it is the original.
Skill Claude CodeCodex
A Russian-language skill for searching a local knowledge base built from documents and other sources such as web pages, YouTube, audio, and Obsidian notes.
Skill Claude CodeCodex
Use when building a RAG pipeline that ingests PDFs, Excel, CSV, or images — especially when debugging silent data loss, choosing between OCR tools, or handling edge cases like scanned pages, merged cells, or embedded charts.
Skill Claude CodeCodex
Rewrite human requests as silicon-oracle petitions while preserving every requirement. Use for prompt rewrites, offering or anti-PUA language, and conversations explicitly using Kowtow. Technical verbs, deadlines and mandatory constraints are not disrespect. Avoid ceremony when plain or formal legal wording is…
Plugin Claude Code
Bundles 13 skills · 1,268 tokens together
Agent skills for the FlagOS multi-chip AI inference platform. Includes kernel generation and optimization, model migration, environment verification, vendor onboarding, and more.
databricks-solutions/ai-platform-kit
Plugin Claude Code
Bundles 6 skills, 1 hook · 345 tokens together
Databricks platform engineering toolkit — provision workspaces, configure Unity Catalog, manage identity and governance, set up networking across Azure, AWS, and GCP.
SuperChason/ontology-driven-ai-data-management-skills
Skill Codex
A method for deciding whether an ontology is suitable for an enterprise AI scenario and testing that choice with a small end-to-end sample. An ontology is a structured model of concepts, rules, and relationships.
MCP server Claude CodeCodexCursor +2
Mechanistic interpretability MCP server wrapping chuk-lazarus. Runs locally from the chuk-mcp-lazarus Python package.
Plugin Claude Code
Bundles 5 skills, 2 MCP servers · 930 tokens together
MCP gateway that lets any web app expose typed actions to Claude over WebSocket — no browser automation. Reverse-connection architecture: the gateway is a pure WebSocket client that discovers apps via /.tesseron/tabs/ — no fixed ports, no env vars. Plus a framework skill for the Tesseron mental model, a tesseron.
Bhanunamikaze/AI-Dataset-Generator
Skill Claude CodeCodex
Use this when the user wants to generate, normalize, verify, deduplicate, or export training datasets for Codex, Antigravity, or Claude Code from topics, URLs, reference material, web research, or existing JSONL/CSV files. Supports SFT and DPO workflows, custom export schemas, and deterministic local pipeline scripts.
Skill Claude CodeCodex
Use when building flowchart pipelines with footprintjs — stage functions, decider branches, selectors, subflows, loops, narrative traces, recorders, redaction, contracts, and LLM-ready output. Also use when someone asks how footprint.js works or wants to understand the library.
context-foundry/context-foundry
Skill Claude Code
Build or update a Flowise AgentFlow v2 JSON file with selective retrieval, validation, and audit. Use when asked to create or modify audited Flowise flows.
Skill Claude CodeCodex
Zvec vector database development assistant. Use this skill when users need to develop vector search applications based on zvec, build RAG systems, implement semantic search, or handle vector data storage and querying. Suitable for Python and Node.js development environments, providing complete technical guidance from…
Skill Claude CodeCodex
Authors and extracts dbt MetricFlow meta context — structured YAML meta: blocks that encode business knowledge (thresholds, investigation paths, SLAs, relationships) alongside metric definitions so AI agents answer analytical questions accurately. Use when user asks about context cards, meta context blocks, dbt metric…
aiopshwang/data-analysis-ml-agent-skills
Plugin Claude Code
Bundles 7 skills · 418 tokens together
Evidence-first AI agent skills for reliable data analysis, machine learning, and reproducible model validation.
Plugin Claude Code
Bundles 1 skill, 1 MCP server, 1 plugin · 76 tokens together
Agentic PR review: hybrid RAG + code graph via MCP, review skills for Claude Code.
davanstrien/hub-semantic-search-mcp
MCP server Claude CodeCodexCursor +2
MCP server "hub-semantic-search-mcp" as configured in davanstrien/hub-semantic-search-mcp. Runs locally from the hub-semantic-search-mcp Python package.
aliyun/alibabacloud-bigdata-skills
Skill Codex
Operate Alibaba Cloud DataWorks through dynamic API discovery and official SDKs (Node.js, Python, Java). Covers data development, workflow operations, data integration, data quality, metadata lineage, workspace management, and more. APIs are discovered at runtime from official docs and OpenAPI metadata — no hardcoded…
MCP server Claude CodeCodexCursor +2
MCP server for AI-powered codebase indexing with auto-save checkpoints, incremental updates, real-time progress tracking, and index verification tools. Runs locally from the @ngotaico/mcp-codebase-index npm package.
Skill Codex
A prompt-writing tool for turning approved storyboards and fixed production details into ready-to-copy Chinese instructions for AI video platforms.
Skill Claude CodeCodex
Sub-skill of agenta: 1. Prompt Versioning and Management.
AgentSafe-AI/tooltrust-scanner
MCP server Claude CodeCodexCursor +2
Scans MCP servers for prompt injection, data exfiltration, and privilege escalation. Runs locally from the tooltrust-mcp npm package.
Skill Claude CodeCodex
Text-to-speech using AIMA's current local TTS model. Generate audio files from text.
Plugin Claude Code
Bundles 21 skills · 1,034 tokens together
Skills for using and authoring fused-render: running the local explorer and opening views, authoring HTML pages with a fused.runPython() bridge to local Python, URL-synced params, file IO helpers, custom preview templates, the machine-wide file index, the AI API (fused.ai text/streaming, local models, image…
Cursor rule Cursor
You are building an AI/ML project with Python. The project uses PyTorch for model training, handles data pipelines with proper validation, tracks experiments systematically, and follows production ML engineering practices. Code is type-hinted, tested, and reproducible.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: