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Research & Learning skills

Research, academic papers, education, and exam prep (4.5K skills)

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last30days-cn

FreeSummary

Research recent discussion across major Chinese platforms, rank findings by engagement, and group related posts into cross-platform topics. The skill can also show current hot-search lists and produce cited Markdown, JSON, or HTML reports.

  • Researching recent Chinese user opinions about a product
  • Finding trends discussed across Chinese social platforms
  • Viewing today's cross-platform hot-search topics
Jesseovo/last30days-skill-cn1.9KUpdated Oct 21, 2026

Explore data, choose charts that support a clear research claim, and create figures suited to journal submission. It guides Python and MATLAB plotting, checks common visualization errors, and supports publication exports and visual review.

  • Choosing a chart for a research question
  • Preparing figures for a journal submission
  • Reviewing multi-panel plots for readability and common errors
XiaoMaColtAI/math-modeling-skill1.9KUpdated Oct 25, 2026

建模手

FreeSummary

Analyze a mathematical modeling problem by listing its goals, constraints, data, and required outputs. Compare suitable model approaches and algorithms for each subproblem, explain assumptions and validation plans, and produce a problem analysis report and terminology table.

  • Breaking a contest problem into subproblems
  • Comparing candidate mathematical models
  • Checking data fields, units, and constraints
XiaoMaColtAI/math-modeling-skill1.9KUpdated Oct 25, 2026

Search OpenAlex and AnySearch Academic in parallel, compare overlapping records, and keep unmatched results distinct. The skill ranks candidates by query relevance and preserves source and cross-validation details for later verification.

  • Finding papers across two academic search sources
  • Cross-checking duplicate records by DOI or title
  • Filtering candidates by topic relevance
XiaoMaColtAI/math-modeling-skill1.9KUpdated Oct 25, 2026

math-modeling

FreeSummary

Plan and carry out a mathematical modeling project in stages, from understanding a problem and choosing models to running Python or MATLAB code, creating figures, and drafting a paper from actual results. It also includes quality checks and requires competition rules to guide the final format.

  • Planning a full mathematical modeling project
  • Choosing models for a contest problem
  • Running calculations and preparing figures
XiaoMaColtAI/math-modeling-skill1.9KUpdated Oct 25, 2026

Research a crypto theme by mapping its sector and key projects, reviewing token incentives and value capture, and judging where its narrative stands. The skill organizes evidence, risks, and allocation options, including when waiting may be preferable.

  • Mapping projects in a crypto sector
  • Reviewing token incentives and value capture
  • Assessing whether a crypto narrative is early or late
questflowai/investorskills1.9KUpdated Aug 23, 2026

serenity

FreeSummary

Analyze US stocks tied to AI and semiconductor supply chains by tracing demand upstream, identifying potential bottlenecks, and checking evidence such as contracts, earnings, or customer qualifications. It also reviews valuation, financing, dilution, and what could invalidate the thesis.

  • Mapping suppliers behind an AI hardware theme
  • Checking whether a small-cap company is a real bottleneck
  • Reviewing photonics or CPO investment theses
questflowai/investorskills1.9KUpdated Aug 23, 2026

requesthunt

FreeSummary

Collect and analyze public feedback from Reddit, X, GitHub, YouTube, LinkedIn, and Amazon. It helps identify feature requests, complaints, and questions, then organizes findings into a structured demand research report for product planning or market research.

  • Find feature requests across online communities
  • Compare complaints about competing products
  • Research user demand for a product idea
ReScienceLab/opc-skills1.9KUpdated Oct 24, 2026

producthunt

FreeSummary

Search Product Hunt and retrieve posts, topics, user profiles, user posts, comments, and collections through its GraphQL API. Use it to explore product launches, find content by topic or date, or look up a maker's activity. An access token is required.

  • Finding today's featured product launches
  • Searching posts by topic or date
  • Looking up a maker's posts and collections
ReScienceLab/opc-skills1.9KUpdated Oct 24, 2026

reddit

FreeSummary

Search Reddit and retrieve posts, comments, subreddit details, and user profiles through its public JSON API. Use it to explore a topic, check a community, or look up a user's public profile without an API key.

  • Find recent or top posts in a subreddit
  • Search Reddit for a topic or phrase
  • Read a post and its comments
ReScienceLab/opc-skills1.9KUpdated Oct 24, 2026

twitter

FreeSummary

Search and retrieve Twitter/X profiles, posts, replies, followers, communities, Spaces, and trends through twitterapi.io. Use it to look up specific users or conversations, search by query and filters, and gather related account or post details. Requires an API key.

  • Looking up a Twitter/X profile
  • Finding posts by topic, date, or author
  • Retrieving replies and quoted posts
ReScienceLab/opc-skills1.9KUpdated Oct 24, 2026

open-websearch

FreeSummary

Use this skill to search the live web, fetch specific public pages, or retrieve GitHub READMEs through an available local CLI, daemon, or MCP integration. It guides focused retrieval and helps distinguish active access from incomplete setup.

  • Find current information on the web
  • Read a specific public URL
  • Retrieve a GitHub repository README
Aas-ee/open-webSearch1.9KUpdated Oct 8, 2026

Use this skill to analyze an existing concurrency-control protocol from its paper, specification, or pseudocode. It helps map state and metadata, turn operations into explicit rules, derive invariants, test boundary histories, and compare safe aborts with unsafe commits.

  • Analyzing a concurrency-control paper
  • Turning protocol prose into operation rules
  • Finding false aborts and unsafe commits
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Use ObsPy client APIs to retrieve earthquake research data from FDSN and other services, including waveforms and station or event metadata. It helps choose a suitable service and outlines options for single or bulk downloads.

  • Downloading waveforms for an earthquake study
  • Retrieving station and event metadata
  • Choosing an FDSN data center or routing service
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

qutip

FreeSummary

Use QuTiP, a Python toolbox for quantum physics, to model quantum states and operators, simulate closed or dissipative systems over time, and analyze measurements, entanglement, and steady states. It also covers plots and advanced simulation methods.

  • Simulating quantum state evolution over time
  • Modeling dissipation in an open quantum system
  • Calculating entanglement or correlation functions
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Plan an exoplanet search from light curve data by choosing preprocessing and period-search methods, then validate and refine promising candidates. The guidance helps compare transit-focused and general periodic-signal algorithms and troubleshoot weak or ambiguous detections.

  • Planning a light-curve analysis pipeline
  • Choosing a period-search method
  • Checking a weak or ambiguous candidate
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Download real-time or historical USGS stream-gage data with Python, including water levels, streamflow, and station details. Use station IDs and date ranges to retrieve readings at roughly 15-minute or daily intervals for one or more sites.

  • Download water levels for a USGS station over a date range
  • Retrieve daily streamflow measurements
  • Look up USGS station information
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Searches light curves for repeating dips that may indicate an exoplanet crossing its star. It fits transit models, reports candidate periods and signal measures, and supports refining a period or searching for more planets after masking known transits.

  • Finding possible exoplanet transits in a light curve
  • Refining the period of a transit candidate
  • Searching for additional planets after masking a transit
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Analyze unevenly sampled astronomical time series with the Lomb–Scargle periodogram, a method for detecting periodic signals despite gaps in observations. Find candidate periods in light curves or radial velocity data, inspect periodogram power, and fit a model using Lightkurve.

  • Search a stellar light curve for rotation periods
  • Check periodic variations in radial velocity data
  • Compare candidate periods and harmonics
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Search brightness time series for repeating, box-shaped dips that may indicate an exoplanet transit or eclipsing binary. Using Astropy's Box Least Squares periodogram, estimate candidate periods, transit durations, depths, and reference times, then inspect validation statistics.

  • Search a light curve for repeating transit-like dips
  • Estimate a candidate period and transit duration
  • Compare several promising periodogram peaks
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Compare STA/LTA, manual review, template matching, and deep-learning pickers for earthquake detection and phase picking. The guide summarizes their sensitivity, speed, false detections, data needs, and limitations to help choose a method for a seismic catalog task.

  • Choose a method for earthquake event detection
  • Compare seismic phase picking approaches
  • Plan a local earthquake catalog from waveform data
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Find papers in Google Scholar or PubMed, turn DOIs and other identifiers into citation metadata and BibTeX, and check bibliographies for missing fields, errors, and duplicates. It helps keep references consistent for research papers and theses.

  • Finding papers for a research topic
  • Converting DOIs or PMIDs to BibTeX
  • Checking a bibliography for errors and duplicates
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

Search across linked documents, chats, meetings, pull requests, and URLs to retrieve structured facts with evidence pointers. It checks product context to reduce mix-ups and distinguishes reviewers who gave feedback from people who merely attended a meeting.

  • Finding authors and reviewers across project records
  • Tracing evidence across chats, documents, and meetings
  • Checking that results refer to the right product
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026

pymatgen

FreeSummary

Use pymatgen to read, create, transform, and analyze crystal structures and molecules. It supports common computational chemistry formats, symmetry checks, phase diagrams, electronic structure analysis, and access to Materials Project data for materials science workflows.

  • Converting CIF, POSCAR, and other structure files
  • Checking crystal symmetry and coordination
  • Analyzing phase stability and phase diagrams
benchflow-ai/skillsbench1.9KUpdated Oct 24, 2026