Test Long-Running Agent
Agent skill for test-long-runner - invoke with $agent-test-long-runner
Browse reusable instructions for your AI tools. Copy and customize a prompt, or download a skill for a supported agent.

Agent skill for test-long-runner - invoke with $agent-test-long-runner
API documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API documentation.
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
Query the bundled research knowledge graph for methodology guidance. Routes questions through a 3-tier knowledge base — WHY (research claims), HOW (guidance docs), WHAT IT LOOKS LIKE (domain examples) — plus structured reference documents. Returns research-backed answers grounded in specific clai...
Expert guide for the NotebookLM CLI (`nlm`) and MCP server - interfaces for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, rep...
Manual for the marginaleffects R and Python package, and guide to the book "Model to Meaning". Use when users ask about predictions, comparisons, slopes, marginal effects, average treatment effects (ATE/ATT/CATE), hypothesis testing, contrasts, counterfactuals, risk ratios, odds ratios, causal in...
Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt design.
Generate scientific code, protocols, and domain-specific text with quality control
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating...
Create comprehensive API reference documentation with OpenAPI/Swagger specs, REST endpoints, authentication, examples, and SDKs. Use when documenting REST APIs, GraphQL APIs, endpoint documentation, or OpenAPI specifications.
Split and read long documents chapter-by-chapter for structured analysis
Expert guide for crafting high-quality, production-grade prompts and system prompts for LLMs. Use when a user wants to create, improve, debug, or evaluate a prompt — whether for Claude, GPT, or any other LLM. Triggers on create prompt, write prompt, improve prompt, system prompt, prompt engineeri...
Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person r...
Systematic prompt engineering methods for AI-assisted academic research workf...
AI-powered paper summarization plugin for Zotero
Deep research agent searching 10+ sources with local or cloud LLMs
Create reproducible research workflows with R and RMarkdown/Quarto
Use SwarmVault when the user needs a local-first knowledge vault that writes durable markdown, graph, search, dashboard, review, and MCP artifacts to disk from books, notes, transcripts, exports, datasets, slide decks, files, URLs, code, and recurring source workflows.
24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records.
Knowledge graph and smart memory management using graphify + Obsidian-inspired patterns. Use when: setting up a knowledge graph, managing memory health, cross-linking notes, compiling wiki pages from scattered notes, adding structured frontmatter, or running memory health checks. Triggers on: 'kn...
Synthesize invariant principles from 3+ sources — find the core that survives across all expressions.
Deep multi-source research combining academic MCPs (arxiv, semantic-scholar, paper-search, deepwiki), Exa semantic search, and local ~/.topos knowledge base. Use for comprehensive research requiring multiple sources. NEVER fall back to web_search - ask user for help instead.
精读文献。快速泛读请用paper-quick-read。
Guidelines for creating effective prompts that maximize AI understanding and response quality. Helps developers craft clear, specific, actionable prompts with appropriate context for optimal AI assistance.
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Explore all resourcesResource formats: Prompts are ready to copy into a conversation. Skills install into the compatible agent shown on their page.
How it worksInclude the instructions, intended platforms, author, and license. Submissions are reviewed before publication.