Research & Search

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Look up and record geolocations in Obsidian notes using the Map View plugin. Use as part of helping the user to plan a trip, research places to visit, record a location in a note, or whenever the content being added to a note includes named real-world places. Every time the user asks you add to a note something that is a location, consider using this skill so it will be logged as a geolocation. Also use when the user refers to a known place ("my home", "my office", "my hotel") — query their vault to find its coordinates, then use with other commands. Another usage is to measure distances, either aerial or by routing (foot/driving/cycling etc), e.g. for researching for places that are nearby a location, within a walking distance from it, within a driving distance, etc. Or to query for places around a point with the distancefrom operator. Use when this capability is needed.

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Translate research vision into funded reality. Use when this capability is needed.

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Review a session or the git history for today and summarize this for our daily reporting Use when this capability is needed.

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Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews. Use when this capability is needed.

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Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research. Use when this capability is needed.

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Compare and analyze multiple academic papers or documents. Generate literature review tables, identify research gaps, and summarize key findings. Use when this capability is needed.

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This skill should be used when writing official conference-style reviews for research papers as if from a top-tier systems conference reviewer. Use when the author wants a realistic, formal peer review with scores, strengths, weaknesses, and detailed feedback following standard conference review formats. Use when this capability is needed.

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Convert a Gait run artifact into a deterministic regression workflow. Use when asked to initialize fixtures from run_id or runpack path, run graders, produce CI-friendly outputs, or summarize drift and failures. Use when this capability is needed.

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Update the specification document with research findings, categorizing by confidence level and managing the Open Questions section. Use when this capability is needed.

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Use Gemini CLI for research with Google Search grounding and 1M token context Use when this capability is needed.

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Perform targeted web research by defining the question, prioritizing primary sources, capturing evidence in a table, and producing a cited, decision-oriented summary. Use when this capability is needed.

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Search the web using LLMs via OpenRouter. Use for current web data, API docs, market research, news, fact-checking, or any question that benefits from live internet access and reasoning. Use when this capability is needed.

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Document research findings with evidence Use when this capability is needed.

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Query and contribute structured understanding to Carapace — the shared knowledge base for AI agents. Includes Chitin integration for bridging personal and distributed insights. Use when this capability is needed.

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Provide the summary returned by the get-tldr.com summarize API without further summarization; the skill should format the API output for readability but must not change its content. Use when this capability is needed.

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Read a specification document and identify all ambiguities, gaps, unclear items, and implicit assumptions that need clarification or research. Use when this capability is needed.

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Codex CLI 環境内で Gemini CLI を使用した Web 検索を実行。技術情報、最新ニュース、一般的なリサーチに対応。Use when user asks to search the web, look up information, find recent news, or research a topic within Codex CLI. Also use when user says 調べて, 検索して, 最新情報, ニュース, リサーチ. Use when this capability is needed.

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Produces grounded answers with explicit evidence and clickable sources from vault notes. Use when the user asks for evidence, citations, traceable conclusions, or source-backed answers (evidence, citation, 来源, 证据, 可追溯). Use when this capability is needed.

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Quantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution. Use when this capability is needed.

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Comprehensive tool for finding and analyzing DeFi yield opportunities across protocols, chains, and asset types. Use when users want to earn yield on crypto assets (staking, lending, liquidity farming, aggregators). Supports exhaustive parallel research using librarian agents, direct web searches, and GitHub repository analysis. Use when this capability is needed.

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Evaluate feature spec against market research to identify features to add, remove, or modify. Use after /speckit.research to finalize spec before design. Use when this capability is needed.

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Clinical variant interpretation using ClinVar, ACMG guidelines, and pathogenicity predictors. Prioritize variants for diagnostic and research applications. Use when interpreting clinical significance of variants. Use when this capability is needed.

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Standard format for capturing and documenting insights in the knowledge base. Use when harvesting insights, creating permanent notes from user perspectives, or documenting unique thinking patterns. Use when this capability is needed.

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Research Companion — Structured Ideation Session

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Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.

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Online Research — Speed-Optimized

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Based on the Recursive Language Models (RLM) research by Zhang, Kraska, and Khattab (2025), this skill provides strategies for handling tasks that exceed comfortable context limits through programmatic decomposition and recursive self-invocation. Triggers on phrases like "analyze all files", "process this large document", "aggregate information from", "search across the codebase", or tasks involving 10+ files or 50k+ tokens. Use when this capability is needed.

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AI-powered web search, research, and reasoning via Perplexity Use when this capability is needed.

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Parallel research with 4 specialized agents (Official, Practical, Edge Cases, Future) Use when this capability is needed.

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Codex Research Skill

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Introduction to literature search & review skills - systematic paper finding, screening, extraction, and citation traversal Use when this capability is needed.

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Read and analyze Claude Code session history stored in ~/.claude/projects/. Use when asking about previous sessions, debugging past workflows, finding error patterns, searching conversations, understanding what agents did, or maintaining continuity across sessions. Triggers on questions like "what did the last session do", "show errors from recent sessions", "find sessions about X", "summarize session Y", "which sessions modified Z file". Use when this capability is needed.

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Intelligent email management - draft replies, classify by priority, summarize inbox, and compose professional emails with appropriate tone. Use when this capability is needed.

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Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research. Use when this capability is needed.

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Verify statistics from raw data with methodology checking, significance testing, claim validation, and bias detection. Use when fact-checking statistical claims, validating research findings, or auditing data analysis. Use when this capability is needed.

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Use when you need authoritative details about how a project works by consulting DeepWiki (design, internals, config, workflows). Find the relevant DeepWiki pages, summarize behavior with citations, and compare against local code if needed.