「root cause」の検索結果

Use this skill for Amazon e-commerce research, market validation, competitor analysis, traffic diagnosis, keyword strategy, advertising review, launch evaluation, and growth optimization using the Sif MCP server and Sif's real marketplace, traffic, keyword, sales, and ad data. Trigger when users mention Sif, Sif MCP, ASIN research, Amazon product opportunity research, keyword opportunity, competitor teardown, traffic drop/root-cause diagnosis, advertising structure review, or whether a product/market is worth entering, launching, scaling, optimizing, or abandoning.

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Prepare a QBR package: goals vs actuals, wins, root causes, ROI, next-quarter plan. "prepare the QBR"

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。

Matter budgeting and ongoing WIP/variance monitoring. Build phase-based fee estimates at matter setup, run bottom-up budgets by jurisdiction or workstream, calculate contingency, and structure AFA arrangements (fixed fee, capped fee, phased fixed fees). Ongoing monitoring: WIP tracking against budget, proportionality assessment (spend vs progress), variance commentary with root cause analysis, forecast-to-complete, realisation monitoring, write-off analysis. Trigger on: 'build a budget', 'fee estimate', 'what will this cost', 'WIP review', 'budget vs actual', 'how are we tracking against budget', 'we're over budget', 'realisation is poor', 'what's our ETC', 'budget for the German workstream', 'model the financial impact of this scope change', 'draft a fee adjustment', 'write-off analysis', 'how much contingency', 'AFA structure', 'fixed fee estimate', 'budget update', 'forecast to complete'.

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Structured debugging methodology — use before proposing fixes for any error or failure. Covers: code bugs, build errors, deploy failures, config conflicts, dependency issues, infra problems. Also use when previous fix attempts failed or root cause is unclear.

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。

Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.

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 an error analysis protocol to diagnose the root cause of student mistakes and misconceptions. Use when error patterns appear in student work and targeted feedback is needed.

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。

Fetch GitHub CI failure information, analyze root causes, reproduce locally, and propose a fix plan. Use `/fix-ci` for current branch or `/fix-ci <run-id>` for a specific run.

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。

Autonomous cloud-cost analyst across Neon, Vercel, Railway and GitHub Actions - pulls per-object usage, attributes it to the biggest drivers, root-causes each, and emits recommendations ranked by real signal (idle %, over-allowance, failure rate) with dollar figures only where the billing API returns real ones (and, armed, applies safe cost levers).

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。

Return rate reduction — root cause analysis, listing accuracy, packaging improvements, size guides

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。

Systematically trace bugs backward through call stack to find original trigger

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。

Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.

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。

Deep bug analysis to break the fix-forget-repeat cycle. Analyzes root cause category, why fixes failed, prevention mechanisms, and captures knowledge into specs. Use after fixing a bug to prevent the same class of bugs.

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。

Review dimensions and scoring for root cause analysis quality 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。

Bug fix workflow: root cause analysis → user review → regression test + fix via TDD

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。

Dung khi so lieu marketing dang xau va can biet TAI SAO — chan doan theo 5 lop tu tracking, delivery, creative, landing den chat luong audience, roi ra action plan 48h. Kich hoat khi user nhac 'so dang xau', 'CPMess cao qua', 'ROAS thap', 'chan doan root cause', 'tai sao khong ra don', 'ads dot tien'. Khong dung cho — audit CAU HINH tai khoan ads va cham Health Score thi dung skill 21-audit-ads-performance; viet bao cao cho nguoi khac doc thi dung skill 07-bao-cao-marketing; chan doan rieng mot trang thi dung skill 68-cro-audit-trang.

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Use when raw data exists — Meta, Google, TikTok, GA4, Shopify, a CRM export, or a spreadsheet — and has to become insight and decisions: descriptive, diagnostic, predictive, and prescriptive layers, cuts by channel, campaign, creative, audience, and time, cohorts, and a decision log. Trigger on 'analyze this data', 'read these numbers for me', 'what does this export say', 'pull insight from GA4', 'cohort analysis', 'here is the spreadsheet'. Also use when the user pastes a table and asks what it means. Not for — diagnosing ad root cause, see `03-performance-eval-global`; writing the report a stakeholder reads, see `07-marketing-report-global`; auditing account setup, see `21-ads-audit-global`.

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 marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality, 5-Whys, regional benchmarks for US, EU, SEA, and LATAM, and a 48-hour action plan. Covers dropshipping ROAS and BE-ROAS. Trigger on 'why is CPA so high', 'my ads are not converting', 'ROAS dropped', 'we are burning budget', 'performance is bad this month', 'diagnose the funnel'. Also use when the user pastes a screenshot of numbers with no question attached. Not for — auditing account configuration and scoring health, see `21-ads-audit-global`; writing a report someone else reads, see `07-marketing-report-global`; turning a raw export into insight, see `13-data-analysis-global`.

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。

Quarantines an intermittently failing test behind a ticket with an owner and expiry, assigns a root-cause bucket from isolated reruns, and defines when the test leaves quarantine. Use when a test is a QUARANTINE_CANDIDATE or fails without a code change; not for deterministic failures.

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。

Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional native OpenCode subagents only when useful.

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Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional native DeepSeek Harness subagents only when useful.

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。

Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence; Codex subagents are optional.

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。

Investigate Elixir/Phoenix bugs root-cause first. Reproduce failures, cite evidence, and use optional Amp subagents only when useful.

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。

Find the root cause of Elixir/Phoenix bugs — crashes, exceptions, stack traces, compile errors, LiveView that won't update, silent failures. Use when something is broken or misbehaves. --parallel for 4 tracks.

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。

Turn one confirmed security finding into a disclosure-ready GitHub advisory with root cause, proof of concept, impact, and source evidence. Use for reporting an established vulnerability, not discovering or validating one.

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。