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Found 6,555 Skills
Automate Microsoft Excel on Windows via CLI. Use when creating, reading, or modifying Excel workbooks from scripts, CI/CD, or coding agents. Supports Power Query, DAX, PivotTables, Tables, Ranges, Charts, VBA. Triggers: Excel, spreadsheet, workbook, xlsx, excelcli, CLI automation.
Expert Java architect specializing in Java 21, Spring Boot 3, and Jakarta EE ecosystem. This agent excels at designing enterprise-grade applications with modern Java features, microservices architecture, and comprehensive enterprise integration patterns.
Essential Git patterns for effective version control, eliminating redundant Git guidance per agent.
Multi-instance (Multi-Agent) orchestration workflow for deep research: Split a research goal into parallel sub-goals, run child processes in the default `workspace-write` sandbox using Codex CLI (`codex exec`); prioritize installed skills for networking and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + key conclusions/recommendations summary". Applicable to: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-Agent parallel research/multi-process research".
Guide for decomposing large tasks into executable steps, managing dependencies and priorities, and distributing work across agents. Includes TodoList integration patterns.
Guide AI agents in creating AppiumLibrary tests for iOS and Android native apps, hybrid apps, and mobile browsers. Load when asked about mobile testing, Appium, or mobile app automation.
Provides structural context for downstream review and refactoring workflows. Use when before architecture reviews to understand file organization, exploring unfamiliar codebases to map structure, estimating scope for refactoring or migration. Do not use when general code exploration - use the Explore agent. DO NOT use when: searching for specific patterns - use Grep directly.
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent performance.
Generate or update a README.md in French, oriented Product Owner, with Mermaid diagrams. Reviews and improves technical documentation in docs/. Also generates CLAUDE.md and AGENT.md if missing. Triggers on: create readme, update readme, generate readme, générer le readme, mettre à jour le readme, generate docs, update docs, /docs.
Scaffolds new projects with README.md, AGENTS.md, and CI/CD (GitLab CI, GitHub Actions). Handles project type (generic / Flask backend / React frontend / Taro miniapp), tech stack, coding standards, quality level, and SDD (OpenSpec, SpecKit, GSD). All init flows (Flask, React, Taro) and conventions (backend-python-cicd, frontend-codegen, flask-backend-codegen, QA/testing, agent-roles/subagents) are built-in; no separate skills. Docs default to Chinese. Use when creating a project, initializing a repo, or setting up CI/CD/SDD.
Query the ExoPriors Scry API -- SQL-over-HTTPS search across 229M+ entities spanning forums, papers, social media, government records, and prediction markets. Includes cross-platform author identity resolution (actors, people, aliases), OpenAlex academic graph navigation (authors, citations, institutions, concepts), shareable artifacts, and structured agent judgements. Use when the task involves: Scry API, ExoPriors, /v1/scry/query, scry.search, scry.entities, materialized views, corpus search, epistemic infrastructure, 229M entities, lexical search, BM25, structured agent judgements, scry shares, cross-corpus analysis, who is this person, cross-platform identity, OpenAlex, citation graph, coauthor graph, academic papers, author lookup. NOT for: semantic/vector search composition or embedding algebra (use scry-vectors), LLM-based reranking (use scry-rerank), or the user's own local Postgres / non-ExoPriors data sources.
Instrument a Python application with the Elastic Distribution of OpenTelemetry (EDOT) Python agent for automatic tracing, metrics, and logs. Use when adding observability to a Python service that has no existing APM agent.