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Newly added to AgentStack, ordered by when we first recorded them. This does not claim that each project was newly released upstream.
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Analyze PyTorch profiler and vLLM trace files with Perfetto SQL evidence. Use when working with torch profiler traces, merged_trace files, vLLM profiling logs, Perfetto trace analysis, GPU kernel hotspots, synchronization waits, rank imbalance, prefill/decode bottlenecks, or optimization reports.
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d3k assistant for debugging web apps
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Use when you need to resolve an in-progress git merge/rebase conflict.
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Fully autonomous QA testing agent for Modular RAG MCP Server. Reads test cases from QA_TEST_PLAN.md, executes ALL test types automatically without human intervention — CLI commands, Dashboard UI via Streamlit AppTest headless rendering, MCP protocol via subprocess JSON-RPC, provider switches, and data lifecycle checks. Diagnoses failures, applies fixes with up to 3 retry rounds, and records results in QA_TEST_PROGRESS.md. Use when user says 'run QA', 'QA test', 'QA 测试', '执行测试', '跑测试', 'test and
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Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data.
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Use when working with error debugging multi agent review
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Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".
Design and implement a complete ML pipeline for: $ARGUMENTS
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## Overview This skill defines the authoritative pedagogical standards and workspace architecture for the CS Wiki (`cs-first-principles`) project. ## Directory Structure & Folder Roles - `platform/`: Modern CS Wiki Web Application (React + Vite + TypeScript) containing interactive simulators, knowledge graph, complexity-calibrated question bank, and zoomable abstraction layers. - `cs-learning-platform.md`: Authoritative 20-Point Pedagogy Blueprint (Concept Maps, Interactive Diagrams, Animations,