「in」の検索結果

Audit technical SEO — meta tags, structured data, Open Graph, sitemaps, robots.txt, performance, and accessibility 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。

When the user repeats the same correction or convention multiple times, suggest a Cursor rule to encode it permanently.

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。

Discover and use shared team skills stored in PostHog. Use when the user asks to list, browse, load, or manage "shared skills", "team skills", or references the "skills store" / "skill store".

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 Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.

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。

Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test 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。

Fetch unread GitHub notifications for open PRs where review is requested from a specified team or opened by a team member. Use when asked to "find PRs I need to review", "show my review requests", "what needs my review", "fetch GitHub review requests", or "check team review queue".

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。

Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.

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。

A relentless interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.

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。

A relentless interview to sharpen a plan or design.

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。

Compact the current conversation into a handoff document for another agent to pick up.

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。

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

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。

Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database performance", "Django ORM issues", or audit Django code for performance problems.

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。

Dockerize an application with a production-ready Dockerfile, docker-compose setup, and .dockerignore.

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 a pull request for CI failures, review comments, and merge conflicts — then fix them automatically. Use when a PR is open and you want the agent to keep it merge-ready.

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 PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations. Read when the user asks to audit, health-check, or review experiments or feature flags, check flag hygiene, or verify experiment setup.

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。

Deep literature review — PubMed, EuropePMC, bioRxiv preprints, citation networks, evidence synthesis. Disambiguates queries, runs collision-aware searches, grades evidence T1-T4, and produces structured reports. Use for systematic literature review, meta-analysis evidence collection, and detailed answer-with-citations workflows.

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。

End-to-end observational epidemiology analysis — from research question (PECO Population/Exposure/Comparator/Outcome) to publication-ready statistical report. Covers cohort/case-control/cross-sectional design, regression with confounders, propensity scoring, sensitivity analysis. Writes Python code for every step. Use for epidemiology study analysis, NHANES/UK-Biobank-style analyses.

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。

Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials 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。

End-to-end RNA-seq workflow from FASTQ files to differential expression results. Covers QC, quantification (Salmon or STAR+featureCounts), and DESeq2 analysis with visualization. Use when running RNA-seq from FASTQ to DE results.

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 high-quality ToolUniverse skills following test-driven, implementation-agnostic methodology.

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。

Quantitative drug-target validation pipeline. Scores druggability, selectivity, safety profile, ADMET feasibility, and structural tractability with a composite Target Validation Score (0-100) and GO/NO-GO recommendation. Use for go/no-go decisions on a target before commit-to-medchem, target prioritization across a list, and target-deselection rationale.

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。

Biological knowledge: query curated assertions and reference databases for genes, variants, pathways, regulation, cell types, reference atlases, perturbation-derived relationships, phenotypes, therapeutic targets, drugs, interactions, annotations, signatures, compounds, and predicted structures. Use for identifiers, marker sets, gene sets, associations, ontologies, database facts, and cross-database coverage.

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。

Literature: retrieve document-level scientific evidence from publications, clinical-trial registries, and patent sources. Use for PubMed records, reproducible searches, trial registrations, patent evidence, abstracts, study metadata, stable identifiers, and citation 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。

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.

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。