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Found 2,708 Skills
Discover PUDA machine capabilities at bears and choose the right machines for protocol generation. Use when you need to know more about a machine, how to use a machine, or how to generate commands and protocols for any PUDA-connected machine.
Discover PUDA experiment workflows for bears and choose the right experiment for the task. Use when you need to run, set up, or understand a PUDA experiment such as colour mixing optimization.
Query VictoriaMetrics metrics via curl. Use when running PromQL/MetricsQL queries, discovering metrics/labels, checking alerts and rules, inspecting TSDB status, exporting raw data, checking metric usage statistics, or debugging relabeling/downsampling/retention configs. Triggers on: metric queries, PromQL, MetricsQL, label discovery, series exploration, cardinality checks, alert status, recording rules, active/top queries, export data, metric statistics, relabel debug, downsampling debug, retention debug, flags.
Query VictoriaTraces via curl using the Jaeger-compatible API. Use when discovering traced services and operations, searching traces by service/operation/duration/tags, retrieving traces by ID, or mapping service dependencies. Triggers on: trace queries, span search, trace ID lookup, service discovery, operation discovery, service dependencies, distributed tracing, Jaeger API.
This skill deploys frontend and full-stack projects to EdgeOne Pages (Tencent EdgeOne). It should be used when the user's primary intent is to deploy, publish, ship, host, launch, go live, or release a new version — e.g. "deploy my app", "publish this site", "push this live", "create a preview deployment", "deploy to EdgeOne", "ship to production", "上线", "发布", "发一版", "重新部署". Do NOT trigger when deployment is only mentioned as a secondary step (e.g. "write an API and deploy it" — primary intent is writing code, use edgeone-pages-dev). Do NOT trigger for post-deployment runtime errors (e.g. CORS issues, 500 errors after deploy — use edgeone-pages-dev for troubleshooting).
Screen and deeply analyze potential NSE multibagger stocks using a Peter Lynch-style quality, growth, valuation, and technical framework. Use when the user asks for multibagger stocks, undervalued high-growth NSE stocks, Peter Lynch-style analysis, top NSE multibagger candidates, smallcap/midcap compounders, value traps, or worst-case scenarios for high-potential stocks.
Guidance for implementing Knock in-app UI in a web app, with a focus on setting up, rendering, and debugging Knock guides in React.
Launch an Antithesis run with snouty by discovering the harness layout, building the right Docker Compose config, running `snouty validate`, bailing on validation failure, and then submitting `snouty run` with sane metadata. Use when the user wants to send, submit, or launch an Antithesis run. This skill takes duration in minutes as input.
Vue2 Frontend Code Review Assistant. Reviews code changes in the src directory of Vue2 projects. Covers 9 major dimensions: component specifications, code style, naming, logic, network requests, computed, security, best practices, and absolute prohibitions. Trigger scenarios: pre-merge review, pre-commit quality check, Code Review for Vue2 code.
Automatically generate standardized comments for Vue 2 Single-File Components (.vue). Parse the three blocks of template, script, and style, add structured comments according to the agreed format, without modifying any code logic. Trigger scenarios: Users request to add comments, supplement document comments for components, and interpret Vue 2 component structure.
Perform code optimization for .vue, .js, .css, .scss, .less files in Vue2 projects. By default, optimize git changed files, or execute according to the user-specified scope. Unify code structure, BEM styles, semantic naming and key comments to improve readability and collaboration efficiency. Do not generate new components or modify business logic. Trigger scenarios: Users request code optimization, code structure standardization, unified naming, Vue2 component optimization, and code style organization.
DataWorks Operations Center assistant for task and workflow operations, alert rule creation and management. Covers troubleshooting, failure recovery, baseline assurance, monitoring and alerting. Supports periodic, manual, and triggered tasks/workflows (excludes real-time/streaming tasks). Uses aliyun CLI to call dataworks-public OpenAPI (2024-05-18). Trigger keywords: query task, task instance, instance log, workflow, workflow instance, alert rule, operations center, task failure, instance status, upstream/downstream dependency, rerun, monitoring alert, custom monitoring, alert rule, task instance, workflow instance, operation log, baseline assurance, failure recovery, DataWorks operations. Do NOT trigger: data source management, compute resources, resource groups, data development, MaxCompute table management, ECS/RDS/OSS operations, workspace member management, data quality, data lineage, data preview.