「detection」の検索結果

Designing and reviewing APIs: OpenAPI spec generation, versioning strategy, breaking change detection, REST/GraphQL best practices. Use for API design or OpenAPI specs.

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。

Designing new skill agents via gap analysis, overlap detection, SKILL.md + reference generation, and Nexus integration. Not for task orchestration (Nexus) or format-only audits (Gauge).

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。

Designing A/B tests: hypothesis docs, sample size, feature flags, significance analysis, CUPED, SRM detection, switchback experiments. Use when hypothesis validation 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。

Optimizing FinOps and cloud cost: IaC-based estimation, right-sizing, RI/SP recommendations, anomaly detection, budget alerts, AI/GPU workload economics. Use to forecast or cut cloud spend.

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。

Engineering privacy and data governance: PII detection, data flow mapping, consent patterns, GDPR/CCPA-compliant implementation, DPIA. Use when privacy-by-design 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。

Check product images against a database of policy-violating items using visual similarity matching. Triggered when users mention policy compliance check, product image compliance review, violation detection, prohibited product screening, image-based compliance audit, pre-listing risk screening, or product image risk check. Even if the user does not explicitly say "compliance," this skill should be triggered whenever the need involves comparing product images against a violation database.

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。

Perform visual similarity search for design patents using an image URL, with filtering by country, legal status, date ranges, Locarno classification, and assignee. Supports design patent types only (type D). Triggered when users mention patent image search, design patent search, search patent by image, visual patent lookup, patent similarity detection, patent image matching, or design patent infringement check. Even if the user does not explicitly mention "patent image," this skill should be triggered whenever the need involves searching for similar design patents through an image. For utility model patents, use ecommerce.Nexscope-utility-patent-image-search 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。

Nexscope Ozon Russia single SKU daily time-series performance. Returns daily sales units, price, stock, rating, and optionally search position/visibility data for one Ozon product by date granularity. Use for validating growth trends, seasonality, and anomaly detection. Trigger when the user mentions Ozon trend, Ozon sales trend, Ozon price trend, Ozon daily data, Ozon stock trend, Ozon search ranking, Ozon product history, Nexscope trend, Ozon daily performance, Ozon time series, Ozon search visibility, Russian marketplace product history. Also trigger when the intent is to view the daily/period trend of an Ozon product, even without explicitly mentioning Nexscope.

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。

Assess product imagery for TRO, trademark, patent, and copyright infringement risk. Use this skill when the user asks for this exact ecommerce workflow, analysis, data lookup, or deliverable.

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。

Google Trends keyword search popularity comparison and trend analysis, supporting global regions and custom time ranges. Triggered by: Google Trends, keyword popularity over time, search interest comparison, keyword trend analysis, seasonal trend detection, regional search popularity, keyword heatmap, multi-keyword comparison on Google, keyword research, market trend analysis, search trends, seasonal analysis, regional popularity.

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。

Performance regression detection. (gstack)

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 a fact-checking protocol for AI-generated text, extending SIFT with AI-specific adaptations for hallucination detection. Use when students need to verify AI claims and citations.

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。

Capture or review how this project connects to external systems (GitHub, AWS, npm, SSH, etc.) so future sessions know the auth recipe. Auto-detection hook logs candidate captures to an inbox; this skill promotes them to permanent recipes in `.planning/AUTH-RECIPES.md` and optionally to user-global memory at `~/.claude/auth-recipes/`.

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。

Ingest external plans with conflict detection against project decisions before writing anything.

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。

MITRE ATT&CK framework reference — tactics, techniques, and tool-to-TTP mappings for pentest documentation and detection rule writing

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。

Step-by-step complex reasoning for multi-variable problems. Breaks interconnected decisions into ordered logical steps with bias detection, reversibility classification, and second-order effect 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。

Post-deploy monitoring. Use when verifying a deployed app is healthy after deploy or launch — auto-fires from launch/deploy. Checks HTTP status, response times, error detection, and smoke test 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。

Structural pattern analysis for writing-mode review. Performs paragraph-level decomposition and pattern aggregation. Invoked by the team lead during editorial review.

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 tmux from the command line to run, drive, and monitor terminal programs as a coding agent (detached sessions, send-keys input injection, capture-pane output polling, formats, completion detection, and control mode). Use when a task needs long-running or interactive processes (builds, tests, servers, REPLs, watch modes, TUI apps) kept alive across turns or inspected live; skip when plain `cmd > log 2>&1 &` is enough.

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。

Extract and organize frames from a Bilibili video (bangumi episode, UP upload, or a local file) into scenery shots and per-character image groups, using anime-specific person detection + CCIP character-identity embeddings. Two modes — cluster everyone, or pull out one (or several) named characters via reference folders. Use when the user wants to collect, extract, or organize anime frames/screenshots by character or by scenery from a Bilibili video. Read-only download for personal viewing/analysis; uploads nothing.

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。

Go concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling.

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。

Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose LLM style patterns. Use when cleaning up AI-generated code or reviewing for agent-introduced cruft.

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。

Semi-automated fact-checking, source credibility evaluation, misinformation detection, prebunking, and evidence-ledger based claim verification. Use when a user asks to verify a claim, article, social post, screenshot, URL, quote, data point, compare sources, detect manipulation, evaluate source reliability, or generate an HTML fact-check card/share-safe correction. Supports text, URLs, screenshots/images, two-source comparison, and topic-level prebunking in Bulgarian, English, Russian, EU policy, health, science, and geopolitical contexts. Trigger phrases: "is this true?", "is this fake?", "fact check this", "compare these sources", "проверка на факти", "истина ли е", "дезинформация ли е", "сравни тези източници".

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。

Reference for the ripdpi-dns-resolver crate: DoH/DoT/DNSCrypt/DoQ/ODoH, health scoring, bootstrap IPs, tamper diagnostics. Use when touching encrypted DNS resolution, failover, or tamper detection.

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。