「reports」の検索結果

Create, poll, resume, download, and save Amazon Ads v3 reports.

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。

Amazon reverse product selection: filter Amazon niches and keywords by 30+ business dimensions (market size & growth, price tiers & share, competition density & top concentration, demographics such as age/gender/income, review highlights & pain points) from a metrics pool aggregated from historical business insight reports. Trigger when users mention reverse product selection, metrics filtering, niche reverse lookup, blue ocean niche discovery, low-competition niche, newcomer-friendly niche, brand-fragmented market, pain-point entry, feature reverse lookup, pricing tier opportunity, demographic-based selection, or similar terms. Even if the user does not explicitly say "reverse product selection," trigger this skill whenever the request involves filtering Amazon niches that match specific business criteria.

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 this when summarizing analysis results, writing reports, documenting experiment outcomes, or presenting model evaluation — including structuring findings in Japanese with conclusions, facts, assumptions, interpretations, and caveats.

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。

Create a writing scaffold teaching the genre conventions specific to an academic discipline. Use when students write lab reports, historical essays, or other discipline-specific text types.

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。

Write or fix a profile.yml — pick the right resource kind for each file, bind operating references, and verify the install layout before publishing. Use when creating a ForgeCat profile, adding a skill/agent/rule/hook to one, or when `forgecat validate` or `plan` reports something unexpected.

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。

Structured code review for bugs, regressions, tests, and standards. Use before PRs or when asked for review; interactive mode can fix locally, while mode:agent reports only for pipeline callers.

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。

Generate time-windowed product pulse reports from configured signals.

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Runs one or more installed review lenses — adversarial critique, edge cases, verification gaps, structure, prose — and reports triaged findings. Use when, and only when, the user asks you to review a diff, a pull request, or an artifact — code or documents, one or many — and actually says "review"; an explicit skill:bmad-review directive from another skill counts as that ask. A request to act on feedback from an earlier review is a change, not a review. Never invoke this uninvited, including on edits you just made.

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。

Runs the evals of a BMad skill through the agent harness the user works in and reports what they show: baseline against the bare model, variant against a stripped or prior version, quality against a rubric, and trigger accuracy of the description with an optional optimization loop. Use when the user asks to evaluate, benchmark, test the triggers of, grade, or compare versions of a skill, or when the bmad-toolsmith skill asks for an eval of a skill it built.

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。

Multi-source research with citations using You.com. Use for questions that need several sources compared and synthesized, such as library or framework comparisons, tool and vendor evaluations, market research, or deep-dive reports. Routes between a cost-conscious agentic search loop and the one-shot `you-research` MCP tool.

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 bounded features and fixes in existing or new mini-program codebases while preserving repository rules, user-owned changes, approved behavior, assets, framework conventions, and evidence boundaries. Use when users ask to write or modify mini-program code, implement a confirmed specification or architecture, add a scoped feature, remove behavior semantically, update internal documentation required by a change, or carry out a well-defined small fix that does not require root-cause investigation. Establishes a baseline and change boundary, applies test-driven small steps, distinguishes source from generators and build artifacts, verifies the affected contract, and never reports source completion as device validation, formal acceptance, upload, or release.

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。

CVSS 3.1 vector examples, executive summary template, full technical finding template, and remediation language bank for pentest reports

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。

Playwright browser automation. Navigates URLs, takes screenshots, checks accessibility tree, interacts with UI elements, and reports findings.

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。

Structured incident response. Use when user reports an outage, production error, or says 'incident', 'something is down', 'users are affected'. Triage severity, contain blast radius, root-cause, document timeline, generate postmortem.

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。

Generate and parse office documents — PDF, DOCX, XLSX, PPTX, CSV. Use when creating reports, exporting tabular data, or processing uploaded office files. NOT for project documentation (use docs).

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 receiving external input that needs structured intake before action — PR review feedback, code review comments, OR issue tracker items (bug reports, feature requests). PR Review Mode (default) verifies suggestions before implementing. Issue Triage Mode classifies issues into a state machine (ready-for-agent / ready-for-human / needs-info / wontfix) and emits AGENT-BRIEFs for AFK execution. Prevents blind implementation, enforces verification-first discipline.

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 designs against 19 rules across Figma files and code (HTML/CSS/React/Vue/Tailwind). Auto-detects framework and design system (MUI, Chakra, shadcn/ui, Ant Design, Radix, Bootstrap). Runs code superpowers across all 19 categories: aria, focus, contrast, tokens, responsive, motion, forms, navigation, spacing, states, microcopy, elevation, iconography/SVG. Flags color blindness risk. Audits dark patterns, ethical design, Nielsen's heuristics. Outputs before/after diffs, developer handoff reports, wireframe-to-spec. English and Korean. Triggers on: check my design, review my UI, audit my layout, is this accessible, design review, color contrast, WCAG, a11y, pixel perfect, Figma audit, CSS check, dark patterns, is this GDPR compliant, is this manipulative, is my form accessible, is my dark mode correct, wireframe to spec, heuristic review, Nielsen audit, usability heuristics, 디자인 검토, 접근성 확인, 색상 대비, 다크 패턴, 와이어프레임 스펙.

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。

确认漏洞后产出正式 SRC/0day 提交稿 DOCX 报告的收口 skill。仅在漏洞已确认、准备成稿时使用——负责查重、过分层验证门、按固定 DOCX 骨架生成报告（Heading 2 章节 + Step 式 PoC + 内嵌真实截图）、语义化命名、放对目录、处理驳回追加。不负责挖掘/验证漏洞本身。TRIGGER：用户说"写报告/出报告/成稿/提交稿/生成漏洞报告"，或漏洞已验证到位准备交付时；或 /report。EN: Turns confirmed vulnerabilities into submission-ready DOCX reports for SRC/0day platforms (verification gates, fixed layout, step-style PoC, mandatory real screenshots). Trigger on "write report" or /report.

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。

Act as an end-to-end data scientist: turn business questions into defensible analysis, validated models, and decision-ready reports. Use whenever the user asks to analyze, explore, or profile a dataset or CSV/Parquet/Excel file; asks what drives a metric or why a number changed ("why did churn go up?"); wants to test whether a difference is real (A/B tests, experiments, "is this significant?", "how many samples do I need?"); wants a predictive model (churn, forecast, scoring, segmentation, classification, regression); asks to review an existing analysis, notebook, or model for flaws; or needs results written up for decision-makers. Triggers in any language ("phân tích dữ liệu", "xây model dự đoán", "kiểm định A/B"), even when they never say "data science" or "statistics".

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Diagnose problems before solving them: turn "X is broken and we don't know why" into a precise problem statement, verified root causes, solutions traced to those causes, and a rollout plan. Use whenever the user reports something failing, breaking, slowing, or recurring without a known cause: "sales dropped and we don't know why", "this keeps happening", "why does X keep failing", "find the root cause", "run a post-mortem", "5 whys"; Vietnamese "sao cứ bị vậy hoài", "tìm nguyên nhân gốc", "X đang hỏng mà không rõ vì sao". Trigger even when the user asks for solutions directly: "give me ideas to fix falling sales" is a diagnosis request. Not for open-ended ideation when nothing is broken (brainstorm-coach), understanding user needs (design-thinking), or company-level strategic bets (strategy-board).

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Runs Fable 5 and OpenAI Codex as co-founders on the Rocket Fuel operating system. Fable is the Visionary (vision, plan, standards, final review); Codex is the Integrator (filters the plan, executes the build, reports). Context-routed, one entry point, four functions: KICKOFF a new project, CLARITY BREAK to refactor an existing one, SAME PAGE MEETING to pressure-test a plan, BUILD A ROCK to hand Codex a scoped task. Use when the user says /rocket-fuel, wants to start or refactor a project with Codex, wants a plan reviewed by a second model, or wants to delegate a build to Codex.

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。

Analyzes and compares health insurance plans (individual vs group), calculates costs, verifies networks, and generates formatted comparison reports for decision-making

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。

MCP skill for IGW (InsurGateway) error management — list, analyze, report, and manage insurance integration errors across test and production environments. Invoke whenever user asks about IGW errors, insurance gateway issues, success rates, or error reports.

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。

Validate data quality in CSV/Excel files for vehicle insurance platform. Use when checking required fields, validating data formats, detecting quality issues, or generating quality reports. Mentions "validate", "check fields", "data quality", "missing values", or "quality score".

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。