157건 · 관련도순
Build Gemini API integrations on Google Cloud’s Agent Platform using the Google Gen AI SDK. Get guidance on authentication, text and media processing, structured JSON responses, function calls, caching, batch processing, and real-time voice or video interactions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Audit how a local business appears on map platforms. Analyze location-based rankings, reviews, nearby competitors, and inconsistent business details, then receive prioritized recommendations and structured business data for website use, depending on the connected APIs.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create an AI impact assessment in your team's format. Gather system details through conversation, analyze risks and applicable regulatory classifications, check consistency with internal policy, and document recommendations, safeguards, and conditions for deployment.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn a rough interface idea into a structured prompt for Stitch, with clear page sections, colors, and component details. When available, existing design rules are included to guide consistent screens or focused edits.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Convert PDF, PowerPoint, Excel, and Word documents into structured Markdown for search and information extraction. Outputs include document metadata, a parsing confidence score, and the parser used, with fallback parsers available when earlier attempts fail.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn structured documents and a research goal into four cards covering facts, explanations, risks, and suggested actions. Source references and generation details help readers trace the evidence and review uncertainty or overstated claims.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Standardize Chinese Git commit messages and changelogs using Conventional Commits, a structured message format. The skill provides writing rules and configuration examples for message checks, interactive commit entry, and automatic changelog generation.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Generate PDF checklists, reports, and assessments with sections, tables, and scoring criteria using Python. Choose a suitable library, save the document for download, and check the output, with shell execution as an alternative when the sandbox fails.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create PDF checklists, reports, and scorecards with Python in a sandbox, an isolated code execution environment. The workflow covers choosing a library, arranging headings and tables, generating the document, and checking that the output file exists.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Collect Trustpilot reviews for a company domain, with filters for ratings, language, dates, and reply status. Get structured review text, reviewer details, and company responses across pages to support reputation research and customer service analysis.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Find a company's official website and social profiles from its name, or extract social profile links from a website URL. Structured results help fill gaps in sales contact lists and research a company's online presence.
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Review LinkedIn campaign exports or pasted metrics to identify weak click rates, audience targeting issues, form friction, and inefficient spending. Receive a structured audit with B2B benchmark comparisons and prioritized recommendations.
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Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation. Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.0", "manufacturing AI", "factory automation", "process optimization", or "survey draft" in industrial contexts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
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Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework. For open-ended ideation use scientific-brainstorming; for automated LLM-driven hypothesis testing on datasets use hypogenic.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Open-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For structured testable hypotheses and validation plans, use hypothesis-generation instead.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design new Claude skills from structured idea specifications. Use when the skill auto-generation pipeline needs to produce a Claude CLI prompt that creates a complete skill directory (SKILL.md, references, scripts, tests) following repository conventions.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provides verified corrections for IAM behaviors that AI agents frequently get wrong — policy evaluation edge cases, trust policy gotchas, STS session limits, Organizations quirks, and SAML/MFA specifics. Also provides structured workflows for IAM role management and baseline policy generation from application source code or a Terraform plan JSON. Covers condition operator safety (ForAnyValue/ForAllValues with Null checks), bucket policy deny patterns (VPC endpoint restrictions, org paths), confused deputy protection, and service role creation for AWS services (Glue, CloudTrail, Lambda, ECS, etc.) with aws:SourceAccount/aws:SourceArn trust conditions. Applies when creating IAM roles, writing IAM or bucket policies, generating policies from application source code or a Terraform plan JSON, working with STS, Organizations, or condition operators, or any task needing a service or execution role. Does not cover non-IAM authorization like Cognito user-pool policies or app-level RBAC.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Post-writing SEO validation with pass/fail checklist covering title tag length and keyword placement, meta description quality, heading hierarchy and keyword density, internal/external link audit with anchor text analysis, canonical URL verification, Open Graph meta tags (og:title, og:description, og:image), Twitter Card validation, structured data presence and validity, URL structure optimization, and image alt text presence. Produces prioritized fix list with specific recommendations. Use for ONE finished post when the user says "seo check", "validate seo", "on-page seo", "title tag check", "link audit". Not for a whole-site audit (blog-audit, claude-seo), AI-citation scoring (blog-geo), schema generation (blog-schema), or the delivery gates (blog_preflight.py).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use anki-card-creator for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries for study-card generation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
A medical-research-native literature reading skill for users with clinical, bioinformatics, translational, and basic experimental backgrounds. Use this skill whenever a user wants to read, analyze, critique, or interpret a medical or scientific paper — whether they provide a PDF, abstract, DOI, PMID, or just a title. Triggers include requests like \"analyze this paper\", \"critique this study\", \"is this a strong paper?\", \"give me similar studies\", \"prepare me for journal club\", \"help me understand this bioinformatics paper\", \"what are the weaknesses here?\", or \"turn this into a mind map\". Also activate for any downstream deliverables such as journal club kits, comparison tables, PI decision briefs, replication starters, or follow-up experiment designs. Do NOT treat as a generic summarizer — this skill performs structured evidence-type classification, track-specific critical appraisal, interpretation-boundary judgment, and research-grade follow-up generation.
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Autonomous research engineering — web search orchestration, source synthesis, hypothesis formation, and structured research report generation.
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Convert requirements into structured technical specifications with architecture decisions
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Specification creation and management for the Pilot Shell methodology. Covers semantic search, clarifying questions, structured spec generation, and iterative refinement.
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