「monitoring」の検索結果

hada.io RSS feed monitoring for AI agent/harness articles with automated /scout analysis

日本語の概要は準備中です。原文の説明を表示しています。

Look up company/business data through Openapi - Italian companies by VAT/tax code or name, European and worldwide company search, shareholders, UBO, AML, PEC/SDI codes, company monitoring. Use for questions like "find data about company X", "who owns VAT number Y", "search companies in France/EU/worldwide".

日本語の概要は準備中です。原文の説明を表示しています。

Heart rate variability biometrics and emotional awareness training. Expert in HRV analysis, interoception training, biofeedback, and emotional intelligence. Activate on 'HRV', 'heart rate variability', 'alexithymia', 'biofeedback', 'vagal tone', 'interoception', 'RMSSD', 'autonomic nervous system'. NOT for general fitness tracking without HRV focus, simple heart rate monitoring, or diagnosing medical conditions (only licensed professionals diagnose).

日本語の概要は準備中です。原文の説明を表示しています。

Advanced CV for infrastructure inspection including forest fire detection, wildfire precondition assessment, roof inspection, hail damage analysis, thermal imaging, and 3D Gaussian Splatting reconstruction. Expert in multi-modal detection, insurance risk modeling, and reinsurance data pipelines. Activate on "fire detection", "wildfire risk", "roof inspection", "hail damage", "thermal analysis", "Gaussian Splatting", "3DGS", "insurance inspection", "defensible space", "property assessment", "catastrophe modeling", "NDVI", "fuel load". NOT for general drone flight control, SLAM, path planning, or sensor fusion (use drone-cv-expert), GPU shader development (use metal-shader-expert), or generic object detection without inspection context (use clip-aware-embeddings).

日本語の概要は準備中です。原文の説明を表示しています。

Design error handling strategies for TypeScript and Python applications — exception hierarchies, Result/Either types, retry patterns, error boundaries, and structured error logging. Use when designing error handling architecture, choosing between exceptions and Result types, implementing retry logic, or building error recovery flows. Activate on "error handling", "exception hierarchy", "Result type", "retry pattern", "circuit breaker", "error boundary", "Pokemon exception". NOT for debugging specific runtime errors, logging infrastructure setup, or monitoring/alerting configuration.

日本語の概要は準備中です。原文の説明を表示しています。

Warehouse cost reduction, auto-scaling, query optimization, and lifecycle policies for data infrastructure. Activate on: data cost, warehouse credits, cost reduction, auto-scaling, lifecycle policy, cold storage, cost monitoring, resource optimization. NOT for: query performance tuning (use data-warehouse-optimizer), batch job optimization (use batch-processing-optimizer).

日本語の概要は準備中です。原文の説明を表示しています。

Time-travel debugging for DAG executions. Inspect agent state at any node, replay decisions with modified inputs, compare execution traces side-by-side, and identify where reasoning diverged. Inspired by LangGraph Studio's state-editing model and Temporal's event history. Activate on "debug DAG", "replay execution", "time travel debug", "inspect node state", "what went wrong at step", "compare runs", "execution diff". NOT for live monitoring (use dag-runtime + websocket-streaming), failure analysis (use dag-ops), or general code debugging.

日本語の概要は準備中です。原文の説明を表示しています。

Operations, debugging, and optimization for DAG workflows. Performs root cause analysis on failures, profiles execution performance, aggregates results from parallel branches, bridges context between nodes, and learns patterns from execution history. Activate on "DAG failed", "why did it fail", "root cause", "performance profile", "aggregate results", "merge branches", "execution patterns", "optimize DAG". NOT for planning DAGs (use dag-planner), executing DAGs (use dag-runtime), or validating outputs (use dag-quality).

日本語の概要は準備中です。原文の説明を表示しています。

Build production computer vision pipelines for object detection, tracking, and video analysis. Handles drone footage, wildlife monitoring, and real-time detection. Supports YOLO, Detectron2, TensorFlow, PyTorch. Use for archaeological surveys, conservation, security. Activate on "object detection", "video analysis", "YOLO", "tracking", "drone footage". NOT for simple image filters, photo editing, or face recognition APIs.

日本語の概要は準備中です。原文の説明を表示しています。

Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.

日本語の概要は準備中です。原文の説明を表示しています。

Expert in cluttering -- the lesser-known fluency disorder characterized by rapid/irregular speech rate, excessive disfluencies, and frequent ADHD comorbidity. Covers differential diagnosis from stuttering, assessment protocols, therapy approaches (rate control, self-monitoring, pragmatic awareness), technology-assisted intervention, and AI tools for people who clutter. Activate on 'cluttering', 'rapid speech disorder', 'speech rate too fast', 'speech disfluency not stuttering', 'disorganized speech', 'ADHD speech problems', 'cluttering vs stuttering', 'speech intelligibility', 'mazed speech', 'telescoping words'. NOT for stuttering-only treatment (overlap is common but they are distinct), hearing disorders, or voice disorders (pitch, resonance).

日本語の概要は準備中です。原文の説明を表示しています。

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

日本語の概要は準備中です。原文の説明を表示しています。

Apache Airflow DAGs, operators, SLA monitoring, and workflow orchestration. Activate on: Airflow, DAG, operator, sensor, scheduler, task dependency, SLA, backfill, XCom. NOT for: dbt transformations (use dbt-analytics-engineer), streaming pipelines (use streaming-pipeline-architect).

日本語の概要は準備中です。原文の説明を表示しています。

Apply cognitive task analysis to expert work that depends on perceptual cues, branching judgment, and recurring monitoring loops. Use when decomposing expert capability into agent structure, simulation design, or validation interviews. NOT for ordinary step-by-step SOP capture or simple pipelines with no tacit cue layer.

日本語の概要は準備中です。原文の説明を表示しています。

Safety, privacy, cost management, and frank advice for building always-on AI agents with episodic memory. Covers data hygiene, privacy risk surfaces, runaway cost prevention, scope creep, psychological effects of persistent AI companions, and responsible deployment patterns. This is the skill that tells you what can go wrong and how to prevent it. Activate on: "agent safety", "always-on agent privacy", "agent cost control", "persistent agent risks", "AI companion safety", "agent data hygiene", "runaway agent costs", "parasocial AI risk", "/always-on-agent-safety". NOT for: architecture design (use always-on-agent-architecture), input design (use always-on-agent-inputs), application brainstorming (use always-on-agent-applications), healthcare compliance specifically (use hipaa-compliance).

日本語の概要は準備中です。原文の説明を表示しています。

This skill provides AWS cost optimization, monitoring, and operational best practices with integrated MCP servers for billing analysis, cost estimation, observability, and security assessment.

日本語の概要は準備中です。原文の説明を表示しています。

This skill suggests using real-time continuous glucose monitoring (CGM) rather than no CGM for outpatients with type 2 diabetes (T2D) who take insulin and/or sulfonylureas and are at high risk for hypoglycemia. It is triggered by clinician questions such as "Should I use CGM for this T2D patient on insulin or sulfonylureas with high hypoglycemia risk?" or "Is CGM indicated for this patient?"

日本語の概要は準備中です。原文の説明を表示しています。

This skill indicates the need for periodic prolactin monitoring in transgender females undergoing estrogen therapy. Clinical triggers include a transgender female patient receiving estrogen treatment.

日本語の概要は準備中です。原文の説明を表示しています。

Recommends CGM over SMBG for type 1 diabetes patients on multiple daily injections to reduce hypoglycemia risk. Triggered by clinician questions such as "Should I use CGM or SMBG for this T1D patient on MDI?" or "Is CGM preferred for glucose monitoring in this patient?"

日本語の概要は準備中です。原文の説明を表示しています。

This skill checks for contraindications or sources of inaccuracy that may affect continuous glucose monitoring (CGM) reliability in hospitalized adults. It is triggered when clinicians ask, “Are there factors that could make CGM unreliable?” or when assessing for skin infection, hypoperfusion, hypovolemia, vasoactive/pressor therapy, or medications such as acetaminophen >4 g/day, dopamine, vitamin C, or hydroxyurea.

日本語の概要は準備中です。原文の説明を表示しています。

Suggests that adults with type 1 or type 2 diabetes using continuous subcutaneous insulin infusion (CSII) and continuous glucose monitoring (CGM) receive education, training, and ongoing support to achieve and maintain individualized glycemic goals. Trigger phrases include: 'Patient on pump plus CGM, arrange education' and 'Ensure CSII+CGM users get training and support'.

日本語の概要は準備中です。原文の説明を表示しています。

Suggests that clinicians continue CSII in hospitalized patients with type 1 or type 2 diabetes when the institution has clear protocols for evaluating pump candidates and appropriate monitoring and safety procedures. Trigger phrases include: 'Admitted patient on pump, check hospital pump policy' and 'Inpatient with diabetes using pump, verify institutional guidelines'.

日本語の概要は準備中です。原文の説明を表示しています。

Recommends real-time CGM with confirmatory bedside POC-BG monitoring for insulin dosing adjustments rather than POC-BG testing alone in adults with insulin-treated diabetes at high risk of hypoglycemia. Consider this approach for patients aged ≥65 years, BMI ≤27 kg/m², total daily insulin dose ≥0.6 units/kg, CKD stage ≥3, or recent hypoglycemia.

日本語の概要は準備中です。原文の説明を表示しています。

Suggests CSII with good adherence to monitoring and dosing for adults with type 2 diabetes mellitus who have poor glycemic control despite intensive insulin therapy, oral agents, other injectable therapy, and lifestyle modifications. Trigger phrases include 'T2DM on multiple injectables still uncontrolled' and 'Consider pump for insulin-requiring T2DM failing other therapies'.

日本語の概要は準備中です。原文の説明を表示しています。