Connect AI agents to live Amazon SP-API and Ads API data using this managed MCP server. Access seller insights instantly without handling authentication or limits.
npx skills add sadatmohamed199-bit/datadoe-mcpConnect AI agents to live Amazon SP-API and Ads API data using this managed MCP server. Access seller insights instantly without handling authentication or limits.
Source: https://github.com/sadatmohamed199-bit/datadoe-mcp
Discovered during the daily awesomeskills.dev agent-skill hunt.
8-phase evidence pipeline for Playwright, pytest, Jest, Cypress, Newman, k6, and JUnit failures. Scans git history, application logs, and config to produce confidence-scored root-cause hypotheses. Exposes as MCP server, CLI, and streaming web UI.
Ingest any source into the Obsidian wiki by distilling its knowledge into interconnected wiki pages. Handles structured documents (PDFs, markdown, articles, papers, notes, folders), raw/unstructured text (chat exports, conversation logs, Slack/Discord threads, meeting transcripts, CSV/JSON data, journal entries, browser bookmarks, email archives, text dumps), AND web URLs. Use whenever the user wants to add new sources to their wiki: "add this to the wiki", "process these docs", "ingest this folder", "ingest this data", "process this export/logs", "import my chat history from X", "/ingest-url <url>", "add this URL", "save this page", or pastes a URL and says "add this" / "save this to my wiki". Also triggers when the user drops a file, or for raw mode: "process my drafts", "promote my raw pages", or any reference to the _raw/ staging directory. This is the general catch-all ingest skill for any document, text, or URL source not covered by a more specific ingest skill (claude-history-ingest, etc.).
Specialized skills for RAGFlow agents to handle complex document parsing and grounding.
Local-first, AI-augmented CISSP companion with a knowledge base that grows with you (resources → kb → wiki). Webapp + 11 Claude Code skills. Two modes: exam-prep tutor for candidates, senior security counsel for certified pros.
Local, git-versioned memory for AI coding agents. No RAG, no Docker, no external service. Capture, compile, recall over a local LLM wiki with on-device embeddings and an MCP server.
Generate research papers autonomously by chatting with OpenClaw, using Python 3.11+, with a self-evolving framework and extensive test coverage.