9,919 件 ・ 関連度順
概要と使いどころ
Triage application logs, open GitHub issues, pending feedback, in-app Issues, and agent conversations. Runs five phases: logs → close shipped issues → feedback → in-app issues → agent FAQ gaps. Use when /whats shows pending feedback, checking app logs, cleaning up shipped issues, or working the in-app Issues backlog.
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。
Assigns GO terms, Pfam/InterPro domains, KEGG orthologs, EC numbers, and product names to predicted proteins using eggNOG-mapper (orthology), InterProScan (domain signatures), and KofamScan (KEGG), routing specialized functions to dbCAN/antiSMASH/AMRFinderPlus/SignalP. Covers the orthology-vs-domain-vs-homology paradigms, the annotation-error percolation cascade, domain-presence-is-not-function, GO IEA circularity in enrichment, evidence tiering, and bit-score/coverage thresholds. Use when adding functional annotation to predicted genes, choosing between eggNOG-mapper and InterProScan, or judging how much to trust a functional label.
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 Cell Reports 36:109597), 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。
Performance Analysis - パフォーマンス分析。./tmp/perf.log を分析してボトルネックを特定し、パフォーマンス改善 Issue を作成するスキル。「パフォーマンス分析」「perf-analysis」「ボトルネックを調べて」で発火。ThumbnailThumb 専用（bin/tt-client と ./tmp/perf.log 出力に依存。bin/tt-client が無いプロジェクトでは発火しない）。
Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI. Add blogs, scan for new articles, and track what you've read.
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。
Generates user-facing changelogs and release notes from git commit history. Parses conventional commits, categorizes changes into features, fixes, breaking changes, and more, then rewrites technical messages into customer-friendly language. Use when the user asks to generate a changelog, write release notes, summarize recent commits, prepare CHANGELOG.md, or document what changed between versions.
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。
Calculate comprehensive numerology reports using Pythagorean or Chaldean systems. Supports English, Tamil, Telugu, Kannada, and Hindi. Use when a user wants numerology readings, life path numbers, destiny numbers, name analysis, birth date numerology, or lucky number calculations.
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。
Monitor blogs and RSS/Atom feeds via blogwatcher-cli 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。
Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns. Parses ModSecurity audit logs and JSON WAF event logs to identify SQLi patterns (UNION SELECT, OR 1=1, SLEEP(), BENCHMARK()), tracks attack sources, correlates multi-stage injection attempts, and generates incident reports with OWASP classification.
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。
Creates a new blog post as a local Markdown file with YAML frontmatter in content/blog/. Use when the user wants to write, draft, or create a new blog post.
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。
Generates changelogs and release notes from git commits, PR titles, and issue references. Organizes changes by impact type (breaking, features, fixes, improvements), formats according to Keep a Changelog standard, and provides version tagging and semantic versioning suggestions. Use when users request "create changelog", "write release notes", "document version changes", or "prepare 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。
Business logic vulnerability testing for web/mobile/API engagements. Covers workflow bypass, state machine violations, multi-step process abuse, price/quantity/discount manipulation, currency confusion, coupon stacking, refund/chargeback abuse, race conditions on logic boundaries, parameter tampering for hidden flows, role/tenant boundary violations, time-of-check vs use, anti-automation defeat, fraud-detection evasion, and subscription/quota abuse. Use when scoping an application after surface-level OWASP Top 10 has been covered, or when the asset is a transactional/marketplace/fintech/e-commerce/SaaS app where logic flaws produce direct financial impact.
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。
Requires OFOX_API_KEY — create one at https://app.ofox.ai. Generate a realistic-human, dialogue-driven short-drama clip — one shot, or a few hard-cut shots inside one job — from a script or scene description using the Ofox video API (Seedance 2.5). Runs a short creative brief when the input leaves beat, aspect ratio, emotional arc or camera register open (one held take, a travelling take, or a multi-shot cut list) ("Let the AI decide" is offered on the taste questions, never on a must-ask one, and never as the default), writes a structured prompt (header manifest, timestamped shots, quoted dialogue with delivery notes, consistency lock), shows a cost estimate, then calls ofox-video-core to submit, poll, download, and report the real cost. Use when a user asks to turn a script beat into video, e.g. "generate scene 3 of this script, two characters talking, 15 seconds", "make a vertical short-drama clip of these two arguing in a kitchen", "turn this dialogue into a 12-second video", or "give me a realistic short-drama shot of a couple breaking up at a train station". Do not use for silent product/brand shots (see seedance-ad-creative), for anime- or manga-styled scenes (see seedance-anime-drama), for one person addressing the viewer rather than another character — a script read from a supplied portrait is talking-head, an idea pulled out of an article is explainer — or for anything not involving people/dialogue.
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。
Epistemic logic for multi-agent perceptual systems — Kripke models, vision sets, public announcement as coordination primitive, and satisfiability-as-reconfiguration applied to agents with limited observability. From Charrier, Ouchet, Schwarzentruber's "Big Brother Logic" demonstration paper (ENS Rennes / IRISA).
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。
OpenClawのブラウザ操作で、ログイン状態やタブを確認しながら複数手順の作業を進めます。古くなった操作対象の参照やタイムアウトへの対処も扱います。
GitHubのIssueやPRを確認・作成し、コメントやレビュー、CIの実行結果を扱います。失敗ログの調査や再実行、承認されたマージの状態確認にも対応します。
処理の流れや状態変化を試すHTML、または複数の画面案を切り替える試作品を作り、操作しながら設計上の疑問を確かめ、判断を記録するスキル。
JavaのSpring Bootで、APIやデータ処理の実装・レビューを支援するスキル。処理の役割分担から入力検証、例外処理、キャッシュ、非同期処理、ログまで扱います。
複数のマシンで動くUncloudのサービスを配備・管理するスキル。uc CLIで公開ポートやCaddyの設定、台数調整、ログ確認、ボリューム管理を進めます。
認証や決済、APIの実装時に、入力検証・アクセス権限・秘密情報の管理などを点検し、実装例と公開前のチェックリストで脆弱性対策を支えるスキル。
米国の特許・商標をUSPTOの公式情報で調べ、出願状況、審査書類、権利譲渡の記録を確認し、検索条件や取得日を残して調査結果を整理するスキル。