Assistant de recherche complet qui synthétise les informations provenant de multiples sources avec citations. À utiliser lors de recherches approfondies, collecte de sources, rédaction de résumés de recherche, analyse de sujets sous différents angles, ou lorsque l'utilisateur mentionne recherche, investigation ou a besoin d'une analyse synthétisée avec citations.
Ce skill est un assistant de recherche avancé conçu pour les développeurs et les utilisateurs d'agents IA. Il automatise le processus de collecte, de synthèse et de citation d'informations provenant de multiples sources, ce qui le rend particulièrement utile pour la recherche approfondie, la rédaction de résumés de recherche et l'analyse de sujets sous différents angles. Compatible avec les plateformes telles que Claude Code, Cursor et Codex, il intègre des techniques de recherche web et de traitement du langage naturel pour fournir des résultats complets et fiables. En exploitant des API de recherche et des algorithmes de synthèse, il garantit que chaque information est correctement attribuée à sa source, facilitant la vérification et la crédibilité. Ce skill est idéal pour les projets nécessitant une collecte rigoureuse de données, des rapports de recherche ou des analyses comparatives.
npx skills add https://github.com/shubhamsaboo/awesome-llm-apps/tree/main/skills/deep-researchInstalled? Explore more Recherche et analyse de données skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Assistant de recherche complet qui synthétise les informations provenant de multiples sources avec citations. À utiliser lors de recherches approfondies, collecte de sources, rédaction de résumés de recherche, analyse de sujets sous différents angles, ou lorsque l'utilisateur mentionne recherche, investigation ou a besoin d'une analyse synthétisée avec citations.
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.
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.
Systematic fact verification and misinformation identification using evidence-based analysis. Use when: verifying claims, checking facts, identifying misinformation, evaluating source credibility, or when user asks to "fact check", "verify", "is this true", or mentions claims that need validation.
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.