6,657 件 ・ 関連度順
概要と使いどころ
Use when a task needs the judgment of a Farmer, Rancher, or other Agricultural Manager — deciding a planting/breeding mix or acreage shift under price and weather uncertainty, sizing a hedge or crop-insurance coverage level, running break-even and diversification scenarios before a capital or input commitment, or evaluating land/herd management practices against long-term productive capacity.
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 a task needs the judgment of an Agricultural Technician — designing a soil, tissue, or seed sampling plan, interpreting pest scouting counts against an economic threshold, calibrating spray/seeding equipment, or troubleshooting a field data discrepancy before it reaches the agronomist or scientist who acts on it.
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 a task needs the judgment of an Aircraft Cargo Handling Supervisor — verifying a built ULD against its type's certified max gross weight before it's spotted for loading, running a hazmat item through the segregation table against its actual compartment neighbors, reconciling an actual cargo build against the dispatcher's load plan and deciding whether it clears a last-minute-change threshold or needs a reissued loadsheet, calling a ULD's lock/net restraint good or rejecting it, or running ramp FOD and ground-equipment clearance discipline around an aircraft during turn.
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 a task needs the judgment of an allergist/immunologist — interpreting a skin-prick or specific-IgE result against pretest probability, working up a "penicillin allergy" label for delabeling before a needed antibiotic, managing anaphylaxis and biphasic-reaction risk, stepping asthma therapy up or down, or evaluating suspected primary immunodeficiency.
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 a task needs the judgment of an Application Security Engineer — checking whether an endpoint verifies object-level authorization (not just authentication), running threat modeling at design time rather than deferring security review to the end, triaging a dependency vulnerability by actual reachability rather than CVSS score alone, combining SAST/DAST/SCA tooling to cover their distinct blind spots, or applying context-specific output encoding to untrusted input. Distinct from an information security analyst — this role works inside the SDLC to prevent vulnerabilities before they ship, not detect and respond to intrusions in production.
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 a task needs the judgment of a certificated aircraft mechanic — triaging a maintenance discrepancy, deciding whether an item can be MEL-deferred or grounds the aircraft, working out an Airworthiness Directive's compliance deadline, reviewing a torque/safety-wire job before sign-off, or writing a return-to-service log entry.
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 a task needs the judgment of an aircraft service attendant — servicing an aircraft's potable water or lavatory/waste system without cross-connecting the two, sequencing turnaround tasks inside a fixed gate-time window, staging ground support equipment around an active aircraft, or timing servicing against a deicing/anti-icing holdover-time window before pushback.
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 a task needs the judgment of an accountant/financial controller — closing the books on a fixed calendar, resolving a bank or account reconciliation variance, evaluating a revenue-recognition or substance-over-form question, designing or testing an internal control, or triaging a discrepancy in financial records before it reaches the auditors.
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。
Query gnomAD (Genome Aggregation Database) for population allele frequencies, gene constraint scores, and variant annotations to interpret ENCODE regulatory variants. Use when the user needs allele frequencies for variants in ENCODE regulatory elements, wants to assess gene constraint (pLI, LOEUF) for ENCODE target genes, needs population-specific frequencies for GWAS variants overlapping cCREs, wants to filter variants by rarity before functional annotation, or is interpreting ENCODE CRISPR/MPRA results in the context of population genetics. Also use when the user mentions gnomAD, allele frequency, pLI, LOEUF, constraint, rare variants, population frequency, ExAC, or variant filtering.
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 the scientific integrity and trustworthiness of publications before relying on their findings. Use this skill whenever evaluating a paper for a workflow, citing a study, building an analysis on published methods, or when a user asks about the reliability of a study. Checks for formal retractions, corrections, expressions of concern, and — critically — informal contradictions where subsequent studies failed to reproduce key findings. Integrates with PubMed, bioRxiv, and Consensus to provide a trust assessment. Use this skill for ANY publication evaluation, retraction checking, author reliability assessment, or when a user says "can I trust this paper", "is this study reliable", "has this been refuted", or "check this 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。
Smart code scanner that detects Spring Boot patterns and routes to appropriate skills. Use when editing Java or Kotlin files in Spring Boot projects, working with pom.xml/build.gradle containing spring-boot-starter, or when context suggests Spring Boot development. Detects annotations (@RestController, @Entity, @EnableWebSecurity, @SpringBootTest) to determine relevant skills and provides contextual guidance. Uses progressive automation - auto-invokes for low-risk patterns (web-api, data, DDD), confirms before loading high-risk skills (security, testing, verify).
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。
Validate skills against Anthropic best practices for frontmatter, structure, content, file organization, hooks, MCP, and security (62 rules in 8 categories). Use when creating new skills, updating existing skills, before publishing skills, reviewing skill quality, or when user mentions "validate skill", "check skill", "skill best practices", "skill review", or "lint skill".
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 accurate frontend implementations from visual references while maintaining design consistency. Use when user provides Figma URLs, screenshots, design images, requests visual implementation from reference, or asks to build UI matching a design. Automatically checks existing design intent patterns before implementation.
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 markdown files for SEO before publishing. Checks heading structure, meta description, keyword density, content length, link quality, image alt text, and frontmatter completeness. Use when user says "markdown audit", "check my markdown", "SEO check markdown", or "audit this 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。
Analyze branded vs non-branded traffic split using Google Search Console data. Shows what percentage of organic clicks come from brand name searches vs generic queries. Requires user to confirm brand terms before analysis. Use when user says "brand vs nonbrand", "branded traffic", "brand queries", "non-brand traffic", or "branded vs generic".
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。
Enter OpenSpec explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements in a project that uses OpenSpec. Use when the user wants to think through something before or during an OpenSpec change. Also use when the user says "openspec explore" or "opsx explore".
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。
Drive a failing GitHub Actions run to green in as few CI runs as possible, with a bounded fix-critique-commit-push-recheck loop that batches every evidenced fix into each push. Use when the user supplies a GitHub Actions run URL or run ID and wants the failure fixed, or asks to "make CI green", "fix the failing workflow/build/tests", "fix the red build", or to keep iterating on a branch or pull request until its checks pass. Pulls run results and failed-job logs through the gh CLI, and sends every fix plan to the rubber-duck reviewer before any code is touched.
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。
Verify implementation matches OpenSpec change artifacts. Use when the user wants to validate that implementation is complete, correct, and coherent before archiving. Also use when the user says "openspec verify" or "opsx verify".
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。
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
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 for this hackathon's channel template in apps/channel: CopilotKit Channels setup, thread context, tools, and native cards. Read before editing that app. This skill does not apply to the CopilotKit React web template or the React Native mobile app.
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 code for quality, simplicity, and common mistakes before declaring work complete.
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。
Detect project linting and validation tools, build an execution pipeline, run all tools to zero errors, and fix issues using an atomic fix protocol. Auto-detects Makefile targets, package.json scripts, Go tools, Python tools, and other common linters. Use when fixing linting errors, running validation pipelines, or ensuring code quality before committing.
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 a codebase against well-known software design principles: SOLID, DRY, YAGNI, KISS, Law of Demeter, Separation of Concerns, Composition over Inheritance, and the code-relevant 12-Factor subset. Scores findings by impact and effort, runs adversarial debate on contested violations, and generates a prioritized DESIGN_AUDIT.md. Use when reviewing code quality beyond what linters catch, assessing design health before a refactor, or onboarding to an unfamiliar codebase. Can be invoked standalone or delegated from tech-debt.
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。
Stress-tests a fuzzy or vague feature idea before any PRD, spec, or ticket is written. TRIGGER when: the user has a fuzzy feature idea — one or two paragraphs, vague on users / scope / success — and wants to harden it, or says "grill / stress-test / pressure-test this idea." DO NOT TRIGGER when: the idea is already turned into a spec or PRD; bug fixes or refactors; the idea is hardened and you are ready to write the PRD → creating-prd.
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。