Use for AST/dep graph/complexity analysis of Python code.
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310 skills · sorted by relevance
Use for AST/dep graph/complexity analysis of Python code.
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TDD: enforce RED-GREEN-REFACTOR, tests before code.
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Use for auto error capture, categorization and skill gen.
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Clean Desktop/DL: temp, MD5 dedupe, type-sort, undo.
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'Use for alerting: desktop, sound, log, webhook, daemon.'
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Use for log analysis, error tracking, alerts, and dashboard.
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Use for session compression and full-text search.
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Live-CPU/RAM/DISK/NET-Dashboard + Top-Prozesse + Alarm.
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Use for multi-machine HTTP delta sync with peer management.
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Use when starting/stopping the Remote Web UI on port 8901.
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Use for 100-point QA validation of all skills + auto-fix + report.
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Use when running or debugging the perf-optimizer on Windows.
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Use for local LLM fallback, failover, and Ollama health.
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Use for Webhook Engine on port 8900: rules, actions, API.
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W&B: log ML experiments, sweeps, model registry, dashboards.
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llama.cpp local GGUF inference + HF Hub model discovery.
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lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).
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vLLM: high-throughput LLM serving, OpenAI API, quantization.
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Yuanbao (元宝) groups: @mention users, query info/members.
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Join a Google Meet call, transcribe live captions, optionally speak in realtime, and do the followup work afterwards. Use when the user asks the agent to sit in on a meeting, take notes, summarize, respond in-call, or action items from it.
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Use for persistent task-queue with priorities + daemon.
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Use when: benchmark model latency, throughput, or quality.
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Use for full system-state snapshot + diff + HTTP:8898.
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Use for agentic commerce payments tasks. Candidate synthesized from trend radar; awaiting trial promotion.
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