519 skills · sorted by relevance
Plan DNA variant detection workflows by identifying the assay and sample model, then routing to germline, cancer somatic, or molecular-barcode panel skills. It also supports focused local BAM/CRAM checks with variant files, depth summaries, and optional filters.
Routes bulk RNA-seq requests to workflows for generating expression counts and checking quality, or comparing gene expression between groups. Checks input data, sample information, and analysis requirements before directing the next step.
Prepare drafts, publish content, and sync WeChat Channels performance data using existing iPolloWork schedules. The skill fixes the target account, preserves operation identifiers across retries, and checks platform results before repeating an action.
Run scheduled Douyin tasks through iPolloWork, including draft preparation, publishing, replies, and data checks. The skill keeps account and operation identifiers consistent and checks results to prevent duplicate submissions during retries.
Manage a crypto wallet through the onchainos CLI, a command-line tool. Check balances, send or swap tokens, bridge assets between blockchains, manage limit orders, track transactions, and inspect token approvals and security risks.
Break a larger goal into two to six tasks and assign a worker agent to each in sequence. Check results with shell commands, retry failed work, and report completion using the configured default model.
Collect posts from X search, profile, individual post, and list URLs. Organize text, authors, engagement counts, media, hashtags, and mentions into a consistent dataset, with support for collecting additional pages.
Review regression coverage and test quality in Apache Pinot when behavior or tests change. Use it to assess whether code changes and bug fixes have relevant tests, including paths that handle different types or null values.
Review Apache Pinot changes for correctness in null handling, numeric types, type-based processing, and resource lifecycles. Use it to examine changes to calculations, aggregations, window functions, and segment cleanup or persistence.
Guides Kaku’s macOS release process from prerequisite checks through building, signing, Apple notarization, and GitHub publication. It covers stable releases, Homebrew tap updates, rolling Nightly previews, and resuming failed stages using existing release scripts.
Prepare a /hunt security assessment by loading skills for the selected mode and, for red team work, detected platforms. Summarize the loaded set, select reporting formats, and check supplied credentials before authenticated testing.
Create Beamer slides from a paper on sewage spills, house prices, and rents in England. A creator and critic pair builds and reviews four talk formats, checking narrative, readability, compilation, and consistency with the paper.
Coordinate multiple AI agents in Diverga for parallel research, reviews, and methodology comparisons. Manage team creation, progress, and results, or run VS Arena debates where different research perspectives critique recommendations before the user chooses an approach.
Find datasets for a research question and compare whether they support the planned study. Receive ranked candidates with feasibility grades, coverage, access requirements, methodological limitations, and recommended next steps for obtaining the most suitable data.
Analyze empirical economics PDFs through five questions covering the research problem, causal identification, target effect, robustness, and contribution. Receive a structured Chinese report and a practical checklist of research methods to adapt to other studies.
Run empirical and causal analyses in Python with StatsPAI, from stating assumptions to estimating effects and checking how results change under alternative choices. Produce diagnostic figures, regression tables, and replication bundles for economics, public health, or machine learning studies.
Turns a repeatable workflow from a conversation, skill, spreadsheet, or Claude/ChatGPT project into an Agent-Native app. It creates populated screens with controls that hand tasks to an in-app agent and return results to the relevant objects.
Build an implementation queue from accepted GitHub issues and distribute them to dedicated workers. Record selection reasons, check for existing pull requests, and process the full queue with a configurable concurrency limit, defaulting to two workers.
Assign independent bugs or test failures to separate agents that work at the same time. Define each agent’s scope and expected report, then check for conflicting changes and run the full test suite before integrating fixes.
Choose suitable libraries for converting spreadsheet data and image files, or extracting text and tables from documents. Covers supported format pairs and identifies conversions unavailable in the described environment before work begins.
Coordinate authorized web application security testing by routing potential weaknesses to specialist skills. Keep testing within the target scope, organize supporting evidence, and combine individual test results into a comprehensive report.
Route document tasks to specialized skills for PDFs, Word files, spreadsheets, slides, or posters. Clarify the required format, sequence multiple outputs, preserve supplied templates, and report file locations with practical checks for reviewing the results.
Implement approved tasks through test-driven development, writing tests before code. Run all pending tasks sequentially with subagents or select tasks for direct execution, then track completion using reviews and verification evidence.
Turn pending roadmap features into requirements, technical designs, and implementation tasks. Independent features run in parallel, while prerequisite features finish first. A final review checks shared data, interfaces, naming, and responsibility boundaries across specifications.