ZhongKuang/taiji-metrics-scraper-skill
Codex skill for scraping TAAC/Taiji training metrics, logs, checkpoints, and code files.
Codex skill for scraping TAAC/Taiji training metrics, logs, checkpoints, and code files.
npx skills add ZhongKuang/taiji-metrics-scraper-skillCodex skill for scraping TAAC/Taiji training metrics, logs, checkpoints, and code files.
Run multi-agent AI research, manage experiments, and execute GPU workflows in one open source lab.
Generates a comprehensive and best-practice-oriented .editorconfig file based on project analysis and user preferences.
⚽️🤖 Benchmarking LLMs and deep-research agents on real-world football prediction — from the tactical "who scores in minute 67" to the strategic "who wins the World Cup."
Comprehensive startup idea validation and market analysis tool. Use when users need to evaluate a startup idea, assess market fit, analyze competition, validate problem-solution fit, or determine market positioning. Triggers include requests to "validate my startup idea", "analyze market opportunity", "check if there's demand for", "research competition for", "evaluate business idea", or "see if my idea is viable". Provides data-driven analysis using web search, market frameworks, competitive research, and positioning recommendations.
Debugs the Buttercup CRS (Cyber Reasoning System) running on Kubernetes. Use when diagnosing pod crashes, restart loops, Redis failures, resource pressure, disk saturation, DinD issues, or any service misbehavior in the crs namespace. Covers triage, log analysis, queue inspection, and common failure patterns for: redis, fuzzer-bot, coverage-bot, seed-gen, patcher, build-bot, scheduler, task-server, task-downloader, program-model, litellm, dind, tracer-bot, merger-bot, competition-api, pov-reproducer, scratch-cleaner, registry-cache, image-preloader, ui.
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.