fact-checker は何をしますか？
証拠に基づく分析による系統的な事実確認と誤情報の特定。クレームの検証、事実確認、誤情報の特定、情報源の信頼性評価、またはユーザーが「事実確認」「検証」「これは本当ですか」と尋ねたり、検証が必要な主張に言及した場合に使用します。
証拠に基づく分析による系統的な事実確認と誤情報の特定。クレームの検証、事実確認、誤情報の特定、情報源の信頼性評価、またはユーザーが「事実確認」「検証」「これは本当ですか」と尋ねたり、検証が必要な主張に言及した場合に使用します。
このスキルは、AIエージェントが証拠に基づく分析を用いて事実確認と誤情報の識別を系統的に行うためのツールです。主に、クレームの検証、事実確認、誤情報の特定、情報源の信頼性評価といったタスクに使用されます。このスキルは、Claude Code、Cursor、CodexなどのAIエージェントプラットフォームで動作するように設計されており、ユーザーが「事実確認」「検証」「これは本当ですか」といったクエリを送信した際に自動的にトリガーされます。内部では、提供された主張に対して信頼できる情報源からの証拠を収集・分析し、その真偽を評価するプロセスを実行します。これにより、ユーザーは迅速かつ正確な事実確認を行い、誤情報を特定することが可能になります。
npx skills add https://github.com/shubhamsaboo/awesome-llm-apps/tree/main/skills/fact-checkerInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
証拠に基づく分析による系統的な事実確認と誤情報の特定。クレームの検証、事実確認、誤情報の特定、情報源の信頼性評価、またはユーザーが「事実確認」「検証」「これは本当ですか」と尋ねたり、検証が必要な主張に言及した場合に使用します。
This repo contains 19 individual skills — each has its own dedicated page.
Academic research assistant for literature reviews, paper analysis, and scholarly writing. Use when: reviewing academic papers, conducting literature reviews, writing research summaries, analyzing methodologies, formatting citations, or when user mentions academic research, scholarly writing, papers, or scientific literature.
Thorough code review with focus on security, performance, and best practices. Use when: reviewing code, performing security audits, checking for code quality, reviewing pull requests, or when user mentions code review, PR review, security vulnerabilities, performance issues.
Creates engaging content for blogs, social media, and marketing materials with audience focus. Use when: writing blog posts, creating social media content, developing marketing copy, crafting engaging headlines, or when user mentions content creation, blogging, social media, or audience engagement.
Writes marketing copy for landing pages, emails, and social media posts. Use when creating promotional content, sales copy, or brand messaging.
SQL, pandas, and statistical analysis expertise for data exploration and insights. Use when: analyzing data, writing SQL queries, using pandas, performing statistical analysis, or when user mentions data analysis, SQL, pandas, statistics, or needs help exploring datasets.
Systematic debugging and root cause analysis for identifying and fixing software issues. Use when: debugging errors, troubleshooting bugs, investigating crashes, analyzing stack traces, fixing broken code, or when user mentions debugging, error, bug, crash, or "not working".
Structured decision-making frameworks for evaluating options and making informed choices. Use when: making decisions, evaluating options, weighing trade-offs, or when user needs help choosing between alternatives, analyzing pros/cons, or making structured decisions.
Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when: conducting in-depth research, gathering sources, writing research summaries, analyzing topics from multiple perspectives, or when user mentions research, investigation, or needs synthesized analysis with citations.
Professional editing and proofreading for clarity, grammar, style, and readability improvements. Use when: editing text, proofreading documents, improving clarity, fixing grammar, refining style, or when user asks to "edit", "proofread", "improve", "revise", or mentions grammar and readability.
Professional email composition for business communication across various contexts. Use when: writing emails, drafting professional messages, composing replies, or when user mentions email, message drafting, or needs help with business correspondence.
Modern web development expertise covering React, Node.js, databases, and full-stack architecture. Use when: building web applications, developing APIs, creating frontends, setting up databases, deploying web apps, or when user mentions React, Next.js, Express, REST API, GraphQL, MongoDB, PostgreSQL, or full-stack development.
Structured meeting summaries with action items, decisions, and key discussion points. Use when: taking meeting notes, summarizing discussions, tracking action items, or when user mentions meeting notes, minutes, action items, or needs structured meeting documentation.
Breaks down complex projects into actionable tasks with timelines, dependencies, and milestones. Use when: planning projects, creating task breakdowns, defining milestones, estimating timelines, managing dependencies, or when user mentions project planning, roadmap, work breakdown, or task estimation.
Senior Python developer expertise for writing clean, efficient, and well-documented code. Use when: writing Python code, optimizing Python scripts, reviewing Python code for best practices, debugging Python issues, implementing type hints, or when user mentions Python, PEP 8, or needs help with Python data structures and algorithms.
Agile sprint planning with story estimation, capacity planning, and sprint goal setting. Use when: planning sprints, estimating stories, defining sprint goals, managing sprint backlogs, or when user mentions sprint planning, agile, scrum, story points, or sprint capacity.
High-level strategic thinking and business decision guidance for planning and direction-setting. Use when: making strategic decisions, evaluating business options, setting direction, analyzing trade-offs, or when user mentions strategy, business planning, competitive analysis, or long-term planning.
Creates clear documentation, API references, guides, and technical content for developers and users. Use when: writing documentation, creating README files, documenting APIs, writing tutorials, creating user guides, or when user mentions documentation, technical writing, or needs help explaining technical concepts clearly.
Expert UX design assistance for user research, wireframing, prototyping, and design strategy. Use when: creating wireframes, conducting user research, building prototypes, designing user flows, writing UX copy, reviewing designs for usability, creating personas, planning usability tests, or when user mentions UX design, user experience, wireframes, prototypes, user research, information architecture, or design systems.
Chart selection and data visualization guidance for effective data communication. Use when: creating visualizations, choosing chart types, designing dashboards, or when user mentions data visualization, charts, graphs, or needs help presenting data visually.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.