3.3K skills · sorted by relevance
Turn a meeting transcript into structured notes and one Linear ticket per action item. Assign owners from the discussion or the team’s ownership map, and flag unclear assignments in unassigned tickets for follow-up.
Guides AI agents through repeated failures, passive behavior, and incomplete work using structured investigation, alternative approaches, and evidence from actual checks. It pairs these practices with forceful coaching modeled on corporate performance reviews.
Detect and check structured data, machine-readable descriptions of page content, and generate suitable Schema.org JSON-LD snippets. Get a report of missing fields, syntax errors, and markup issues, plus code prepared for implementation.
Investigate a specific OpenShell problem or feature need and create a structured GitHub issue. Record observed behavior, technical findings, alternatives, and missing evidence so a human can decide what to accept and pursue.
Build Python workflows that constrain language model output using text patterns and grammar rules. Generate structured JSON, restrict classifications to allowed labels, extract information, and combine reusable generation steps with loops and tool selection.
Turn papers, code, experiment logs, and notes into an ARA, a structured research package for AI agents. Organizes claims, evidence, verification plans, code stubs, and research decisions, then checks coverage and consistency across the generated files.
Use Outlines to make language models produce data in a defined format. The skill covers extracting information into JSON, restricting classification labels, and applying Pydantic models, which define fields and data types, with local model backends.
Build LLM serving workflows that produce JSON or other required formats. The skill covers reusing computation for shared prompts, tool calls, and ongoing conversations, with examples for server setup and structured output.
Turn a structured change list into a categorized release notes draft for users. Follow the project's writing style, highlight breaking changes and security items, and include upgrade guidance where evident, leaving publication to human review.
Turn unstructured clinical encounter summaries into SOAP notes, a four-part format for medical records. Organize symptoms and findings, include diagnoses with ICD-10 classification codes, and document treatment steps, follow-up timing, and reasons to return for care.
Builds and improves C/C++ and Rust fuzzing harnesses, the entry points that feed generated test data into code. Helps structure inputs, reach more code paths, and address crashes caused by inconsistent test behavior.
Improve how search engines discover and understand a website by reviewing titles, descriptions, links, and sitemaps. Add structured data, machine-readable descriptions of page content, and use checklists to identify technical and on-page SEO issues.
Build custom calculation and parsing tools that an n8n AI Agent can call. This skill covers JavaScript or Python inputs, structured arguments, string results, tool descriptions, and fixes for invocation and output errors.
Design AI agents and chatbots in n8n, choosing suitable nodes and connecting models, tools, conversation memory, and structured JSON output. Includes guidance on document retrieval and human approval before tool execution.
Coauthor proposals, specifications, and other structured documents through context gathering, section-by-section drafting, and revision. Test the finished draft with a fresh Claude conversation to identify unclear assumptions, missing information, and contradictions.
Search Zhihu articles by keyword and publication period through the BrowserAct API. Retrieve full article text, titles, authors, dates, cover image URLs, and source links as structured data for industry research, brand monitoring, or competitor updates.
Search Google News by keyword and publication period through the BrowserAct API. Collect headlines, publishers, publication times, and article links in a structured form for industry research, brand coverage checks, and competitor news tracking.
Collect structured Google Images search results through the BrowserAct API. Set keywords, country, language, scrolling, and result limits to obtain titles, thumbnail URLs, source names, source logos, and destination links for visual research.
Collect structured YouTube search results for videos, Shorts, channels, or playlists. Retrieve titles, displayed view counts, publication times, and URLs to build topic lists, research competitors, or gather tutorial resources.
Collect Reddit posts and comments through the BrowserAct API using keywords, date filters, and sorting options. Results include votes, authors, timestamps, and reply relationships, providing structured source data for competitor research and reviews of community feedback.
Find recent papers on a research topic from arXiv, bioRxiv, or both. Narrow candidates through scored shortlists, then produce structured Chinese and English summaries with paper metadata, limitations, and an explanation of the final selection.
Add AI chat, text generation, and agents to applications using AI SDK. The skill checks documentation and source code to guide streaming replies, external tool calls, structured results, React integration, and fixes for outdated API usage.
Check whether medicinal chemistry papers are indexed in ChEMBL, a curated database of biological activity measurements. Look up papers by DOI, report available data counts, and retrieve structured measurements before extracting tables from PDFs.
Create custom tools that an AI agent can call in Unity Editor by adding C# files to the project. Includes implementation examples and guidance for structured results, running Unity operations on the main thread, and handling lengthy operations or recompilation.