全部能力

Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for…

Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision…

Use when the user asks to "research code", "how does X work", "where is Y defined", "who calls Z", "trace code flow", "find usages", "explore this library",…

Persistent cross-session memory using Memento MCP knowledge graph (mcp__memento__* tools). Recall-before-acting: search memory before starting tasks, on errors, and when receiving corrections. Multi-dimensional search: two queries per recall event (technical topic + process/workflow learnings). Store-after-discovery: persist solutions, conventions, and corrections immediately. Three-step recall: search, open_nodes, traverse relations. WORKING_STATE.md for crash recovery. Self-reminder protocol every 5-10 messages. Activate on task start, errors, corrections, session boundaries, or explicit memory requests. See references/agents-md-setup.md for AGENTS.md integration.

Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running…

Expert knowledge of Godot debugging, error interpretation, common bugs, and troubleshooting techniques. Use when helping fix Godot errors, crashes, or…

Manages shadcn-vue components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and…

Use this skill when the user asks to "check data usage", "list TCO policies", "reduce Coralogix costs", "optimize observability spend", "lower our logging bill", "data budget exceeded", "TCO policy", "retention tier", "archive storage", "ingestion costs", "frequent search vs archive", "why is our bill so high", "spending too much on logs", "data retention settings", "cost analysis", "usage breakdown", "optimize log volume", "control data ingestion", "archive cold data", "billing units", "plan consumption", "daily plan", "overage", "PAYG", "usage anomaly", "usage trend", "cx_data_usage_units", or wants to investigate, analyze, or reduce Coralogix data costs.

Aggregate and display system metrics with anomaly detection for a time period

Orchestrate the full ToolUniverse self-improvement cycle: discover APIs, create tools, test with researcher personas, fix issues, optimize skills, and push via git. References and dispatches to all other devtu skills. Use when asked to: run the self-improvement loop, do a debug/test round, expand tool coverage, improve tool quality, or evolve ToolUniverse.

Explore-lane code adaptation skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated…

Trusted-lane training execution skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively…

Explore-lane experimental execution skill for deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as…

Trusted-lane debug skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape…

Technical writing for READMEs, ADRs, API docs, and changelogs. Use when revising or consolidating a repo documentation folder.

Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\",…

Use when validating optimization plans through the evaluation platform with mandatory research, parallel agent evidence, sequential merge, and bounded…

Run Karpathy-style autonomous ML search on a real training repository. Use when the user needs to set up or operate `karpathy/autoresearch`, choose the right run mode (setup, `program.md`, bounded loop, result interpretation, or constrained-hardware adaptation), and preserve the immutable `prepare.py` / 300-second / `val_bpb` contract. Not for prompt evaluation, LLM app observability, or repo-local `SKILL.md` optimization — route those to LangSmith, Promptfoo, Braintrust, or `skill-autoresearch`. Triggers on: autoresearch, autonomous ML experiments, `program.md`, `train.py`, `val_bpb`, overnight GPU loop, fixed eval harness.

Search Google News and Google Shopping using Serper APIs via x402. USE FOR: - Finding recent news articles on a topic - Current events and breaking news - Product searches and price comparisons - Shopping research and product discovery - Industry news monitoring TRIGGERS: - "news about", "latest news", "recent articles" - "current events", "breaking", "headlines" - "shopping", "buy", "price", "product search" - "compare prices", "where to buy", "deals on" Use `npx agentcash@latest fetch` for Serper endpoints. Both endpoints are $0.04 per call.

Track and analyze Amazon keyword rankings. Set up rank monitoring workflows, interpret ranking changes, and develop strategies to improve organic search…