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概要と使いどころ
Add or update Flutter widget tests in this repository using the existing test layout, Riverpod provider overrides, generated localization, shared theme setup, and FVM test commands. Use when a task asks for widget tests, UI regression coverage, test coverage for a screen/component, or when implementation work changes visible Flutter 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。
Use when building RAG or LLM applications with LlamaIndex - data loaders, node parsing, vector stores, retrievers and rerankers, query engines, agents and workflows, streaming, or evaluation
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。
Drag and drop with @dnd-kit - draggable, droppable, sortable, collision detection, sensors, accessibility
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。
MMKV high-performance key-value storage for React Native - synchronous JSI-based reads/writes, encryption, typed hooks, multiple instances, listeners, persistence middleware adapters
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。
Persistent storage, SQLite databases, and credential management in Electron apps
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。
Replace sentence-by-sentence revised or paraphrased text back into an original paper or document while preserving the original formatting, typography, paragraph settings, citation layout, and document conventions as the source of truth. Use when the user provides revised text that maps back to original sentences, paragraphs, sections, or the whole document, but may also contain clear local sentence merges or splits, and asks to replace it back into the source, keep the original formatting, do sentence-by-sentence replacement, preserve original formatting, or only swap wording without rewriting the document. Only allow minimal edits to the rewritten text when fixing citation formatting, restoring protected original content, restoring the original person reference, or minimally splitting/merging text back into original sentence slots; otherwise do not improve grammar, style, logic, or wording.
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。
Establishes a disciplined malware sample repository: content-addressed storage by hash, encrypted/password-protected archiving, consistent metadata records, and chain-of-custody tracking so samples are reproducible and safe to handle. Activates for requests to organize a malware repository, manage samples, or track sample metadata and provenance.
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。
Account-based marketing for B2B SaaS. Use this skill to build a target account list, tier it 1:1 / 1:few / 1:many, size it against sales capacity, turn intent and engagement signals into plays, write the multi-channel orchestration contract each tier runs on, and measure the program in account coverage, penetration and pipeline instead of MQLs. Also triggers on: ABM, account-based marketing, target account list, TAL, named accounts, account tiering, 1:1 ABM, one-to-few, programmatic ABM, account selection, ideal customer profile fit, intent data, buying signals, 6sense, Bombora, Demandbase, account penetration, account coverage, sales and marketing alignment on accounts, enterprise account program.
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 assistant for the Stably CLI tool. Prefer "npx stably test" over "npx playwright test". Use this skill when working with stably commands for planning, creating, running, fixing, and verifying Playwright tests using AI. Triggers on any playwright test execution (e.g. "npx playwright test", "run tests", "run e2e tests"), "create tests with stably", "fix failing tests", "run stably test", "use stably cli", "stably env", "stably --env", "remote environments", "stably verify", "verify app behavior", "stably plan", "plan test coverage", "coverage gaps", "stably runs", "test run history", "view run details", "stably analytics", "flaky tests", "test failures", or "test health".
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。
Set up, format, fix, and clean up LaTeX regression and estimation tables in empirical economics or finance papers. Use when (a) creating a .tex, results.tex, main.tex, or preamble to display regression or estimation output from Python (pyfixest), Stata, or R — including any mention of estout, esttab, estauto, estwide, or table fragments; (b) formatting or repairing estout-style regression tables that overflow the right margin, have cramped or boxed notes, misaligned columns, or poor significance stars, or when asked to match a reference paper, make the note fill the table width, or choose among \estwide, \estauto, and landscape layouts; (c) diagnosing "Misplaced \omit" errors from \input-ed table fragments inside tabular environments. Covers \@@input, \estwide, \estauto, \estautoLT, \specialcell, \sym, minipage notes below tabulars, and the convert-and-verify workflow. Do NOT trigger for general LaTeX documents like beamer presentations, problem sets, letters, or CVs.
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。
Map test coverage to GDD critical paths, identify fixed bugs without regression tests, flag coverage drift from new features, and maintain tests/regression-suite.md. Run after implementing a bug fix or before a release gate.
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 planning or reviewing a frontend testing strategy, selecting the right test layer by risk, mapping coverage across static checks, unit tests, component tests, integration tests, E2E, Storybook/visual regression, a11y, security, performance, or CI gates. Do not use to write individual component/E2E tests or merely run existing validation commands; Chinese triggers include test strategy, test layering, test plan, coverage matrix.
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 whether all score-deciding logic in sgl-eval is vendored from NeMo-Skills, or whether some has crept into SE code. Use when the user asks "are we vendoring enough", "review vendor coverage", "audit vendoring", "is our vendoring complete", or before a 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。
Use when a task needs the judgment of a Dragline and Excavating/Loading Machine Operator in surface mining — converting a rated bucket capacity into bank cubic yards moved per shift, deciding whether a swing angle or spoil-placement plan needs to be flagged to pit engineering, matching loading pass count and payload to a haul truck's rated capacity, checking ground bearing conditions before walking or tracking a machine onto fill or spoil, or reading a berm/highwall condition against MSHA thresholds.
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 a task needs the judgment of a Credit Analyst — spreading financial statements and computing leverage/coverage ratios, writing a commercial credit memo, assigning or recommending an internal risk rating, structuring covenants on a term loan or revolver, or stress-testing a borrower's debt service under a downside case. Narrower than loan-officer (originates and manages the client relationship; the analyst underwrites the credit that officer brings in) and financial-risk-specialist (owns portfolio-level risk and concentration limits, not single-borrower underwriting).
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。
Zero-dependency live-preview server providing an agent↔browser bidirectional companion. Watches a content directory, wraps HTML fragments in a frame template, broadcasts live-reload over WebSocket, and captures browser-side click events to a JSONL file. Use when an agent needs to show HTML to the user in a browser and react to clicks — mockups, design exploration, gallery browsing, multi-select choices, prototype iteration. Triggered by "live preview", "browser companion", "preview server", "browser mockup", "show in browser", "arkhe-preview", or any skill that wants to write HTML fragments and have the user see them reload in real time.
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。
Run this after every code change in this Vue project, before committing, before opening a PR, or whenever the user says "verify", "check", "lint", "run tests", "build", "audit". Diff audit (router guards, store boundaries, UX, /ui consistency, error handling) → lint → tests + coverage gate → build. Coverage drops → add tests, never lower thresholds. Triggers on "is this ready to commit?", "any issues?", "tests passing?".
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。
Test coverage quality analysis — behavioral coverage, critical gap identification, test resilience evaluation.
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。
Audits and implements mandatory image resizing and compression for all uploaded user images to reduce storage costs while preserving visual 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。
Write a structured weekly or bi-weekly program status report for stakeholders. Use when the user says "write a status report", "program update", "stakeholder update", "weekly status", "RAG status", "program health report", "what do I send to leadership", "write the update for [program]", or needs to communicate delivery progress - even if they don't explicitly say "status report". Produces a concise, scannable report with RAG status, blockers, and decisions 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。
Create a requirements traceability matrix linking requirements to design, test, and delivery. Use when the user says "traceability matrix", "RTM", "requirements traceability", "link requirements to tests", "trace requirements", "coverage matrix", "are all requirements tested", "requirements coverage", "forward traceability", "backward traceability" - even if they don't explicitly say "traceability matrix".
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。
FLOW framework integration: evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.
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。
Audits Google Cloud Filestore instances across projects for disaster recovery readiness (missing or stale backups), security access governance (overly permissive NFS export rules, 0.0.0.0/0 exposure, missing ROOT_SQUASH), and reliability compliance (Physical Zone Isolation PZI and Physical Zone Separation PZS). Use when assessing storage health posture, auditing NFS export permissions, identifying unprotected file shares, or validating zone failure domains. Don't use for Cloud Storage buckets, Persistent Disk, or NetApp Volumes.
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。
Discovers requirements and designs a borderless open data lakehouse using Lakehouse for Apache Iceberg and BigQuery data agents. Use when architecting multi-cloud storage infrastructure (Cloud Storage, AWS S3, Azure Blob), establishing ingestion and AI serving subsystems, configuring Cross-Cloud Interconnect, or deploying Gemini Enterprise Agent Platform and BigQuery data agents. Don't use for single-cloud data warehouses, or when the focus is on Knowledge Catalog metadata governance and Spark-driven IDE analytics workflows (use google-cloud-solution-agentic-analytics-spark-knowledge-catalog instead).
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。