9,911 件 ・ 関連度順
概要と使いどころ
Analyze reviewed Grafana log evidence for event patterns, error-rate changes, and enrolled security markers. Use when a user needs bounded log analytics for an incident window, error-log comparison, anomaly triage, operational debugging, or a cautious check of approved security signals.
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。
Reddit authentication management skill. Check login status, log out. Triggered when user asks to check Reddit login status or log out.
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 species-environment relationships with constrained ordination (CCA, RDA, db-RDA), variance partitioning, indicator species (indicspecies IndVal.g group-equalized), PERMANOVA paired MANDATORILY with PERMDISP (Anderson & Walsh 2013; dispersion confounds centroid tests), Joint Species Distribution Models (HMSC, sjSDM, gjam) with explicit rejection of "residual covariance equals biotic interaction", phylogenetic community ecology (SES_MPD/MNTD), trait-environment via RLQ + fourth-corner with corrected modeltype=6 (Dray 2014), bipartite network metrics (NODF, modularity) with curveball null (Strona 2014), and Mantel-test replacements (dbRDA, GDM) for spatial data. Use when testing how environmental gradients structure communities, identifying habitat indicator taxa, partitioning variance among predictors, deciding whether PERMANOVA significance is location vs dispersion, picking among HMSC/sjSDM/gjam, or replacing Mantel tests for landscape data.
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。
Designs and analyzes combinatorial CRISPR screens covering paired-Cas9 (Big Papi, Najm 2018), enhanced AsCas12a multiplex (enCas12a, DeWeirdt 2021), in4mer 4-guide-array Cas12a (Esmaeili Anvar N et al 2024 Nat Commun 15:3577) and the Inzolia paralog-pair library, paralog-buffering detection (Dede 2020 Genome Biol; Thompson 2021 Nat Commun 12:1302), genetic-interaction (GI) scoring as observed_double_LFC minus expected_additive_double_LFC, synthetic-lethal and synthetic-rescue interaction interpretation, the half-of-essentiality buffered by paralogs phenomenon, multiplex screen statistical analysis with MAGeCK MLE interaction terms, and the relationship to single-cell combinatorial Perturb-seq. Use when designing a paralog or pathway-pair screen, choosing between paired-Cas9 (Big Papi) and Cas12a multiplex (Inzolia), interpreting genetic interaction scores, identifying synthetic-lethal targets for drug development, or scaling beyond single-gene CRISPR screens.
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。
Draft a CHANGELOG.md entry for the current changes in Keep a Changelog format. Use when releasing, tagging a version, or updating CHANGELOG.md.
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。
Draft the changelog entry for all unreleased commits in Keep a Changelog format. Groups commits into Added, Changed, Fixed, Removed, and Security. Use before releasing a new version or when updating CHANGELOG.md.
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-level cosmology covering the Big Bang, cosmic expansion, dark matter, dark energy, CMB, large-scale structure, and observational cosmology.
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-level climatology covering climate system components, climate forcing and feedbacks, paleoclimatology, climate modeling, and climate change science.
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-level seismology covering earthquake seismology, seismic wave propagation, seismometer instrumentation, earthquake source parameters, seismic hazard, and induced seismicity.
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-level meteorology covering atmospheric dynamics, thermodynamics, synoptic meteorology, mesoscale systems, numerical weather prediction, and climate dynamics.
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-level mathematical logic knowledge. Use when working with propositional logic, first-order logic, proof theory, model theory, computability theory, Godel incompleteness theorems, set theory, type theory, or formal verification. Also use when the user mentions 'formal proof', 'Godel', 'incompleteness', 'Turing machine', 'decidability', 'Zermelo-Fraenkel', 'axiom of choice', 'model theory', 'completeness theorem', 'computability', 'formal language', or 'type theory'.
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-level immunology covering innate and adaptive immunity, antibody structure and function, T cell biology, immune evasion, vaccines, autoimmunity, and immunotherapy.
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-level evolutionary biology covering natural selection, genetic drift, molecular evolution, phylogenetics, speciation, macroevolution, and the modern synthesis.
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-level cell biology knowledge. Use when working with cell structure, organelles, cell signaling, cell cycle, cell division, cytoskeleton, membrane biology, vesicular trafficking, apoptosis, or cell biology techniques. Also use when the user mentions 'organelle', 'mitochondria', 'endoplasmic reticulum', 'Golgi', 'cytoskeleton', 'cell cycle', 'mitosis', 'meiosis', 'apoptosis', 'signal transduction', 'membrane potential', 'endocytosis', or 'cell migration'.
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。
Diagnoses failing GitHub Actions runs by reading logs, identifying the root cause, and suggesting fixes. Use this skill whenever a user shares a GHA run URL, pastes runner log output, mentions a failing workflow, asks why a CI job is broken, or says anything like "my GHA is failing", "workflow failed", "can you check my run", or "CI is broken". Also trigger when raw log text is detected in the conversation that appears to come from a GitHub Actions runner. Do NOT use for general GHA workflow authoring questions, YAML formatting help, or passing runs with no failure context.
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。
Skill 実行末尾に、同じツリー内の plugin.json と CHANGELOG 先頭の版の食い違いを1行通知するとき、version の上げ忘れや CHANGELOG の節の足し忘れに作者が意識せず気づける仕組みが欲しいときに使う。
吉里吉里Z 上の Elements ベース汎用ダイアログ/画面 UI (cycfi/elements + elements_modal) の作り方リファレンス。TJS で JSON / Dictionary 定義のダイアログを作る・出す・イベントを受ける・複数画面フロー(navigator)や常駐メニューを組む・入力/フォーカス/モーダルを制御する・Agent で動作検証する、といった場面で使う。基本的なダイアログ画面の作り方(最小例・レイアウト JSON スキーマ・ウィジェット一覧)から、モーダル/非モーダル/独立ウィンドウ/常駐フロー、複数インスタンス/z-order、DrawDevice 登録タイミング等のハマりどころまで網羅。Win32 ネイティブの WIN32Dialog(win32dialog プラグイン)とは別物。TJS2 言語仕様は skill `tjs2`、本体クラス API は `krkrz`、REPL/Agent 駆動は `krkrz-repl` を参照。
Hunt AADGraphActivityLogs and MicrosoftGraphActivityLogs in Microsoft Sentinel/Log Analytics for fingerprints of offensive Entra ID tools such as ROADtools, AADInternals, and AzureHound.
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 defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.
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。
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.
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。
サプライチェーン最適化コンサルティングスキル。需要予測、在庫最適化、調達戦略、 物流ネットワーク設計、S&OP(Sales and Operations Planning)を支援。 Use when optimizing supply chain operations, improving inventory management, designing logistics networks, or conducting supply chain risk assessments. Triggers: "supply chain", "在庫最適化", "inventory optimization", "demand forecasting", "S&OP", "procurement strategy", "logistics network".
Drafts one service catalogue entry (description, scope in and out, owners and support groups, service levels exactly as provided, request path, dependencies, charging, lifecycle) from the service team's notes, questionnaire answers or existing documents, with UNKNOWN and a question list for every field the inputs do not cover. Never invents a service level, owner or price. Use when the user asks to "write the catalogue entry for this service", "turn these questionnaire answers into a service description", "tidy this request catalogue item" or "check this draft entry for empty fields". Do not use for a how-to or known-error article, use knowledge-article-drafter instead; for operating procedures, use runbook-drafter. Drafts for human review; never approves, authorises or signs off.
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。
Turns reported data problems (messages, tickets, meeting notes, complaints) into one DRAFT issue log: one row per issue with the symptom as reported, dataset and fields named, reproduction steps, affected reports, first seen date, reporters, a suggested owner, and blank severity, root cause and status cells for the owner. Never asserts a root cause, severity or fix. Use when the user asks to "log these data issues", "turn these complaints about the numbers into an issue list", "build the data quality backlog", "which reports are hit by this data problem" or "write up the reproduction steps for this data bug". Do not use for exploring or profiling a dataset, use dataset-insight-pack instead; for an IT incident write-up, use incident-postmortem-drafter; for tracking fix actions once assigned, use corrective-action-tracker. Drafts for human review; never approves, authorises or signs off.
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 changes since last release and drafts them directly into the project's CHANGELOG.md. Use when users requests 'update the changelog' or 'prepare changelog release notes'
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。