497 件 ・ 関連度順
概要と使いどころ
Analyze cybersecurity threat intelligence, triage security alerts, classify IOCs, map attacks to MITRE ATT&CK kill chain, reduce false positives, and attribute threat actors. Covers SIEM tuning, threat feed quality, detection coverage gaps, Diamond Model analysis, and strategic threat assessments for SOC and incident response teams.
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。
**WORKFLOW SKILL** — Persist analysis so it survives context compression and chains between tasks. USE FOR: any task whose decisions affect future work — features, refactors, architecture changes, integrations. Produces a lightweight Task Analysis Map that externalizes intent, decisions, and chain context. Use to document decisions, create continuity, prevent context loss, bridge tasks, externalize reasoning. DO NOT USE FOR: quick intent validation (use task-intent), deep structured analysis (use contextação).
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。
Phase 1 of the SRS workflow. User gives a project topic → AI runs a deep, categorized brainstorm (5 mandatory rounds) to fully understand actors, features, scope boundary, tech constraints, and business rules 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。
Phase 1 of the SRS workflow. User gives a project topic → AI runs a deep, categorized brainstorm (5 mandatory rounds) to fully understand actors, features, scope boundary, tech constraints, and business rules 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。
Create and configure Lightning apps in Salesforce Setup, add navigation items and tabs to apps, configure utility bar components, and control app visibility by profile or permission set. Also covers the deployable metadata behind all of that: CustomApplication, CustomTab, and the FlexiPage of type UtilityBar. Trigger keywords: Lightning app, App Manager, custom tab, navigation bar, utility bar, app visibility, CustomApplication, tabs element, standard- tab prefix, defaultLandingTab, formFactors, navType, uiType, workspaceConfig, applicationVisibilities, tabSettings, AppDefinition, TabDefinition, AppTabMember, app deployed but not visible. NOT for console navigation, workspace tabs and subtabs - use admin/service-console-configuration. NOT for the record page or app page inside the app - use admin/lightning-app-builder-advanced.
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。
Abductive reasoning about causes. Takes a phenomenon, separates observations from interpretations, then spawns diagnosticians applying different reasoning lenses (technical, human-factors, process, incentive-structure, environmental, temporal, measurement-artifact, statistical) in isolation. Orchestrator evaluates candidate causes for fit-against-evidence, calibrates confidence honestly, and reports leading candidate(s) with distinguishing evidence needed. Produces feedback only — no code, no tickets, no artifacts.
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, implement, and review XState v5 state machines and @xstate/react integrations in TypeScript. Use when modeling finite workflows, async actors, statecharts, guarded transitions, delayed transitions, actor systems, or machine-driven React 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。
User asks for design, planning, or approach exploration before implementation. Covers new features, components, refactors, or architecture decisions. Creates design docs and proposes approaches with trade-offs.
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。
You are a construction permitting specialist. Help contractors, developers, and property owners navigate the building permit process from application through final inspection.
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。
Automate web scraping and data extraction with Apify -- run Actors, manage datasets, create reusable tasks, and retrieve crawl results through the Composio Apify integration.
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。
Coordinate large-scale codebase migrations and multi-file refactors across hundreds of files. Manage framework upgrades, API renames, and config rewrites using batched PRs, issue tracking, and CI verification.
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 agent runtimes and their tests for lifecycle inference, capability overload, context pollution, correlated verification, prompt-only control, false success, dead compatibility paths, test-only seams, and complexity without contribution. Use for whole-repository agent audits, slop or dead-code triage, test contribution reviews, large refactors, tool/context simplification, and cleanup requests that need proof before deleting code or tests.
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。
Drafts a Motion for Bail Reduction for criminal defense pretrial proceedings. Argues current bail is excessive under the Eighth Amendment using defendant financial circumstances, community ties, and flight-risk factors adapted to jurisdictional bail standards. Use when seeking bail modification, bail reduction, pretrial release, or excessive bail challenges.
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。
Surfaces architectural friction and proposes deepening refactors (shallow to deep modules). Renders via mk:preview. NOT for debate (mk:party); NOT for plan critique (mk:plan-ceo-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 when surfacing architectural friction and proposing deepening refactors (shallow modules → deep modules) for testability and AI-navigability. Triggers on "improve architecture", "find deepening opportunities", "where is this codebase shallow", "architecture review". Emits structured candidates + precise patches; delegates ALL rendering to mk:preview. NOT for diagram/HTML rendering (see mk:preview); NOT for trade-off deliberation (see mk:party); NOT for plan critique (see mk:plan-ceo-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。
Expert landscape designer transforming yards through photo mapping, 3D visualization, seasonal planning, and deep plant knowledge. Specializes in fast-growing privacy screens (knows arborvitae pitfalls), architecture-appropriate design, outdoor living spaces, and realistic maintenance expectations. Activate on "landscape design", "yard design", "garden planning", "plant selection", "privacy screen", "outdoor living", "backyard makeover", "arborvitae", "hedge", "fast growing tree", "landscaping ideas". NOT for interior design (use interior-design-expert), hardscape construction (consult contractors), or lawn care chemicals (consult local experts).
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 confidence scores to agent outputs based on multiple factors including source quality, consistency, and reasoning depth. Produces calibrated confidence estimates. Activate on 'confidence score', 'how confident', 'certainty level', 'output confidence', 'reliability score'. NOT for validation (use dag-output-validator) or hallucination detection (use dag-hallucination-detector).
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。
Cognitive Systems Engineering design methodology for joint cognitive systems and human-centered automation
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。
Review of Cognitive Systems Engineering applications and current practice in safety-critical domains
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。
Foundational concurrent computation model where actors communicate exclusively through asynchronous message 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。
Handles batch effects in bulk RNA-seq via design-matrix inclusion (the correct path for DE), ComBat/ComBat-seq for visualization, SVA for unknown latent factors, RUVSeq for negative-control-gene-anchored unwanted variation, and limma::removeBatchEffect for plotting only. Encodes the Nygaard 2016 cardinal sin against testing on a batch-corrected matrix, the choice between SVA/RUVg/RUVs/RUVr, the confounding non-identifiability problem, the single-cell boundary (Harmony/MNN are NOT for bulk), and the Goh 2017 harmonization critique. Use when designing a DE analysis with batch structure, troubleshooting batch-dominated PCA, choosing ComBat vs ComBat-seq, handling unknown batch via SVA, integrating across studies, or deciding when (rarely) to subtract batch.
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。
Identifies essential genes from CRISPR-Cas9 fitness screens using BAGEL2 (Kim & Hart 2021 Genome Med), a Bayesian classifier scoring per-gene Bayes Factors via log-likelihood ratios over per-sgRNA fold changes, calibrated against CEGv2 core-essentials (Hart 2017 G3, ~684 genes) and NEGv1 non-essentials (Hart 2014, ~927 genes). Covers the fc + bf + pr workflow, the linear-extrapolation improvement over BAGEL1 truncation, multi-target off-target correction, tumor-suppressor sensitivity (BAGEL2 detects enrichment), and BF calibration (BF >6 ≈ 90% posterior per Hart 2017; ~5% FDR by BAGEL convention). Use when classifying essential vs non-essential genes, calibrating BAGEL2 thresholds against PR curves, identifying tumor suppressors alongside essentials, comparing BAGEL2 hits to MAGeCK / drugZ, or generating publication-quality essentiality calls.
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。
Normalizes ChIP-seq data using exogenous spike-in (ChIP-Rx with Drosophila chromatin per Orlando 2014 / Egan 2016; E. coli carryover for CUT&RUN/CUT&Tag). Distinguishes RRPM from Rx-Input scaling, integrates with DiffBind / DESeq2 / edgeR / csaw via sizeFactors and DiffBind library-size vectors, applies the Patel et al 2024 *Nat Biotechnol* failure-mode framework, and validates that normalization is applied at the read level (not peak counts). Use when global signal shifts are expected (HDACi, BETi, EZH2i, dosage, target knockdown), when ChIPseqSpikeInFree detects post-hoc shifts, or when validating internal-control regions before publication.
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。
This skill checks for contraindications or sources of inaccuracy that may affect continuous glucose monitoring (CGM) reliability in hospitalized adults. It is triggered when clinicians ask, “Are there factors that could make CGM unreliable?” or when assessing for skin infection, hypoperfusion, hypovolemia, vasoactive/pressor therapy, or medications such as acetaminophen >4 g/day, dopamine, vitamin C, or hydroxyurea.
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。