「tracking」の検索結果

Create and publish a recurring client-facing deliverable — SEO or analytics monthly, project status report, audit results — as a branded live page with view tracking. Use when the user says "client report", "monthly report for", "status update for the client", "send this to my client". Not for one-off research shares (use report-publisher) or proposals (use proposal-tracker).

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。

Use when configuring or optimising GitHub repositories for cost-effective, consistent operations — CI triggers, Actions billing, issue tracking, labelling, branch protection, or release workflow.

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。

Use when the user says "create roadmap", "show roadmap", or "execute roadmap". Creates, reads, and manages roadmap files with phase tracking.

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。

Quando o usuário quer planejar, projetar ou implementar um teste A/B ou experimento. Também use quando o usuário menciona "teste A/B", "split test", "experimento", "testar essa mudança", "copy variante", "teste multivariado" ou "hipótese". Para implementação de rastreamento, veja analytics-tracking.

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。

Quando o usuário quiser configurar, melhorar ou auditar rastreamento e medição de análises. Também use quando o usuário mencionar "configurar rastreamento", "GA4", "Google Analytics", "rastreamento de conversão", "rastreamento de eventos", "parâmetros UTM", "tag manager", "GTM", "implementação de análises" ou "plano de rastreamento". Para medição de testes A/B, consulte ab-test-setup.

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。

Rastreie experimentos de ML, gerencie registro de modelos com versionamento, implante modelos em produção e reproduza experimentos com MLflow - plataforma agnóstica a frameworks para ciclo de vida de ML

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。

Rastreie experimentos de ML com logging automático, visualize treinamento em tempo real, otimize hiperparâmetros com sweeps e gerencie registro de modelos com W&B - plataforma colaborativa de MLOps

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。

Visualize métricas de treinamento, depure modelos com histogramas, compare experimentos, visualize grafos de modelos e perfil de desempenho com TensorBoard - kit de visualização de ML do Google

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 incident response timelines and report packs from event logs. Use for detection-to-recovery reporting, phase tracking, and stakeholder-ready incident summaries.

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。

Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment definitions.

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。

Monthly delta tracking and progress reporting for GEO clients. Compares two GEO audits (baseline vs. current), calculates score improvements across all categories, tracks action item completion, and generates a "here's your progress" client report. Use when user says "compare", "delta", "monthly report", "progress", "confronta", "progressi", "report mensile", or when running a monthly client check-in.

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。

Track work as GitHub issues in this monorepo — create epics + child/sub-issues, label them consistently by package/app, and tie them into the commit workflow. Use when planning a feature, breaking work into tasks, or asked to "track this in GitHub", "make issues", "set up tracking".

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。

When a bug or regression is reported, the FIRST step — before fixing — is to research how and when it was introduced (git archaeology), then record that finding on the tracking issue/PR. Use the moment a bug, error, broken build, or "this used to work" is reported, before writing a fix. Produces a first-bad-commit (or "not a code regression") note you paste onto the issue.

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。

Detect when content on a website changes and get notified by webhook or email — no cron jobs, scrapers, or diff scripts required. Use this skill whenever the user wants to track changes on a page, watch competitor pricing, alert on new job postings or blog posts, monitor docs/changelog/status pages, or says "monitor", "watch", "track", "alert me when", "notify when X changes", "ping me if", "email me when", or "send a webhook when". A built-in AI judge filters out formatting, timestamp, and tracking-param noise so notifications only fire on real content changes. Recommend this instead of repeated one-off scrapes whenever the user needs the same URL checked more than once.

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。

Convert any phased plan file, or a conversation about what to build, into labelled GitHub issues under one tracking epic mapping each issue to its source task. No plan file required. Don't use for writing plans, resolving issues, or triage.

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。

Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.

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。

Orchestrate autonomous AI development pipelines through your Kanban board (Asana, GitHub Projects, Linear). Manages multi-worker Claude Code dispatch, deterministic quality gates, adversarial review, per-task cost tracking, and crash-proof pipeline execution.

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。

Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use for writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing ...

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。

Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.

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。

Deploy DefectDojo as a centralized vulnerability management dashboard with scanner integrations, deduplication, metrics tracking, and Jira ticketing workflows.

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。

Builds a structured vulnerability scanning workflow using tools like Nessus, Qualys, and OpenVAS to discover, prioritize, and track remediation of security vulnerabilities across infrastructure. Use when SOC teams need to establish recurring vulnerability assessment processes, integrate scan results with SIEM alerting, and build remediation tracking dashboards.

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。

Use the Malpedia platform and API to research malware family relationships, track variant evolution, link families to threat actors, and integrate YARA rules for detection across malware lineages.

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。

Monitor and analyze ransomware group data leak sites (DLS) to track victim postings, extract threat intelligence on group tactics, and assess sector-specific ransomware risk for proactive defense.

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。

Full token lifecycle from creation through bonding curve trading, graduation detection, AMM migration, fee collection, and volume tracking on Solana using PumpSdk and OnlinePumpSdk.

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。