Loading...
Loading...
Found 9,621 Skills
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Create and scaffold new skills with proper frontmatter, directory structure, and validation. Use when the user asks to build a new capability, integrate a new API, or extend the system with a repeatable workflow.
Full content production pipeline from blank page to publish-ready piece. Covers competitive research, content briefs, drafting, SEO optimization, readability scoring, editorial quality gates, and internal linking. Use when writing blog posts, articles, guides, or long-form content end-to-end, or when user mentions write a post, draft an article, create content, content pipeline, editorial workflow, content operations, content calendar management, repurposing, or content at scale.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Creates Cursor-specific AI subagents with isolated context for complex multi-step workflows. Use when creating subagents for Cursor editor specifically, following Cursor's patterns and directories (.cursor/agents/). Triggers on "cursor subagent", "cursor agent".
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent workflows, tool integrations, or streaming applications with the openai-agents package.
Build Firefox CI worker images by triggering GitHub Actions workflows in mozilla-platform-ops/worker-images. Supports FXCI Azure workflows for Windows image builds (trusted and untrusted). Use when: - User wants to build a worker image - User mentions "FXCI Azure", "worker image build", or specific pool names like "win11-64-24h2-alpha" - User wants to trigger image builds for Windows 10, Windows 11, or Windows Server 2022 - User asks to check status of a worker image build Triggers: "build image", "worker image", "FXCI Azure", "trigger build", "image build status"
Execute and troubleshoot memory-cli commands for episode management, pattern analysis, and storage operations. Use this skill when running CLI commands, debugging CLI issues, explaining command usage, or guiding users through CLI workflows.
Compose multiple skills into a unified workflow pipeline. Combine research, creativity, review, and other skills into custom multi-step processes. Use when a task requires chaining skills together, creating custom workflows, or designing compound skill sequences. Triggers on "워크플로우", "workflow", "파이프라인", "pipeline", "스킬 조합", "combine skills", "복합 프로세스".
Phase 1 of the feature workflow — Draft a design document for the new feature, which serves as the sole input for subsequent implementation and acceptance. First gather evidence (read architecture docs, review relevant code, grep to prevent term conflicts, check archives), then write a complete first draft in one go (including YAML frontmatter + three-layer structure + test design), submit it to the user for overall review, and iterate until approval. After approval, extract {slug}-checklist.yaml from {slug}-design.md for use in the next two phases. Trigger scenarios: "Start designing the solution", "Write design doc", "Prepare to implement XX", with the prerequisite that you already know what to do, who it's for, and how to define success.
Router skill for LLMQuant equity derivatives workflows. Use when the user needs single-stock derivative, convertible, warrant, structured payoff, or hybrid security analysis.