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Found 310 Skills
Create or update AgentDeploy SharedInfra and Service YAML files, validate them, deploy apps with the agentdeploy CLI and Platform API, poll status and explain output, and debug structured deployment failures. Use when a user wants to deploy, redeploy, or troubleshoot an app on an AgentDeploy installation.
Grafana Tempo distributed tracing backend. Covers TraceQL query language (span selectors, attribute scopes, pipeline operators, structural operators, metrics functions), trace ingestion via OTLP/Jaeger/Zipkin, Tempo architecture (distributor/ingester/compactor/querier/metrics-generator), full configuration reference with YAML, metrics-from-traces (span metrics, service graphs, TraceQL metrics), deployment modes (monolithic/microservices/Helm/Kubernetes), multi-tenancy, performance tuning, caching, and HTTP API. Use when working with distributed traces, writing TraceQL queries, deploying Tempo, configuring trace pipelines, or setting up Grafana-Tempo integrations (traces-to-logs, traces-to-metrics, traces-to-profiles).
GitHub repository automation (CI/CD, issue templates, Dependabot, CodeQL). Use for project setup, Actions workflows, security scanning, or encountering YAML syntax, workflow configuration, template structure errors.
Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must never be mixed.
Guide users to define requirements through multi-round conversations, reference existing Dify cases, and generate workflow DSL YAML configurations that can be directly imported into Dify
This skill should be used when the user asks to "create an esphome config", "set up an esp32 device", "configure esphome yaml", "add a sensor to esphome", "fix esphome compile error", or mentions "gpio pin assignment", "wifi setup", "ota update", or error messages like "Unknown platform", "GPIO already in use", "Could not compile", or "WiFi connection failed". Provides rapid ESPHome configuration generation, troubleshooting, and validation.
Central authority for Claude Code subagents (sub-agents). Covers agent file format, YAML frontmatter, tool access configuration, model selection (inherit, sonnet, haiku, opus), automatic delegation, agent lifecycle, resumption, command-line usage (/agents), Agent SDK programmatic agents, priority resolution, and built-in agents (Plan subagent). Assists with creating agents, configuring agent tools, understanding agent behavior, and troubleshooting agent issues. Delegates 100% to docs-management skill for official documentation.
Generate custom lint rules from architectural patterns. ESLint local plugins (JS/TS) or ast-grep YAML rules (Python/Go/Rust/any). Invoke when: codifying an import boundary, enforcing API conventions, blocking deprecated patterns, or any "always/never" constraint.
将 X (Twitter) 推文和文章转换为带 YAML front matter 的 Markdown。使用逆向工程 API，需要用户同意。当用户提到"X转markdown"、"保存推文"、或提供 x.com/twitter.com 链接时使用。
Use this skill when building dbt models, designing semantic layers, defining metrics, creating self-serve analytics, or structuring a data warehouse for analyst consumption. Triggers on dbt project setup, model layering (staging, intermediate, marts), ref() and source() usage, YAML schema definitions, metrics definitions, semantic layer configuration, dimensional modeling, slowly changing dimensions, data testing, and any task requiring analytics engineering best practices.
Validates and scores Claude Code skill packages for quality, completeness, and best practices compliance. Tests Python scripts, checks YAML frontmatter, and generates quality reports. Use when creating new skills, validating skill packages, or auditing skill quality.
Helps DevOps engineers configure mirrord Operator's Kafka queue splitting feature end-to-end. Generates MirrordKafkaClientConfig and MirrordKafkaTopicsConsumer Kubernetes CRD YAMLs, the matching mirrord.json split_queues section, and Helm value guidance. Use this skill whenever the user mentions Kafka splitting with mirrord, MirrordKafkaClientConfig, MirrordKafkaTopicsConsumer, Kafka queue splitting, Kafka topic splitting, configuring mirrord with Kafka, setting up Kafka for mirrord operator, or troubleshooting Kafka splitting sessions. Also trigger when users mention split_queues with queue_type Kafka, or ask about connecting mirrord to a Kafka cluster. This is a Team/Enterprise feature of mirrord.