GitHub
route-researcher
Research North American mountain peaks and generate comprehensive route beta reports
☆ 16Voir le skill
Skills IA Données et IA
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Catégories: Données et IA
Données et IA Effacer les filtres
Explorer
GitHub
create-worktree
Creates a git worktree with branch and copies environment files (.envrc, .mcp.json)
☆ 16Voir le skill
GitHub
finish-worktree
Completes feature branch work by rebasing, pushing, monitoring CI, and squash merging to main
☆ 16Voir le skill
GitHub
pre-push-review
Review unpushed commits before pushing to remote repository
☆ 16Voir le skill
GitHub
foundry-nextgen-frontend
Build elegant frontend UIs following Microsoft Foundry's NextGen Design System using Vite + React + pnpm. Use when creating dashboards, agent builders, data grids, entity management interfaces, or any applicati...
☆ 16Voir le skill
GitHub
mcp-builder
Build MCP (Model Context Protocol) clients to connect AI agents with external tools and data sources. Use when building integrations with MCP servers.
☆ 16Voir le skill
GitHub
ticktick-cli
使用 Python CLI 与 Dida365 Open API 交互以管理滴答清单任务/项目，适用于需要通过脚本或命令行调用滴答清单接口的场景（如项目/任务的查询、创建、更新、完成、删除）。
☆ 16Voir le skill
GitHub
cli-config
Guide for configuring Paintress CLI. Use this skill when users want to configure models, tools, subagents, custom commands, or other CLI settings. Covers both global and project-level configuration.
☆ 16Voir le skill
GitHub
pwdebug
用于需要通过命令行操作真实浏览器实例进行前端调试（如导航、执行 JS、截图、元素拾取、控制台日志）且希望跨多次命令复用同一浏览器会话的场景。
☆ 16Voir le skill
GitHub
langfuse-observability
Instrument LLM applications with Langfuse tracing. Use when setting up Langfuse, adding observability to LLM calls, or auditing existing instrumentation.
☆ 16Voir le skill
GitHub
skill-updater
Meta-skill for updating and adapting other skills based on user preferences and feedback. Use when the user provides feedback about code patterns, styling preferences, or workflow adjustments that should be rem...
☆ 16Voir le skill
GitHub
langfuse-api
Interact with the Langfuse API. Use when user wants to query traces, fetch prompts, create datasets, manage scores, or do anything else via the Langfuse REST API.
☆ 16Voir le skill
GitHub
openrewrite-test
This skill should be used when writing or modifying tests for OpenRewrite recipes in the Liftwizard project, when the user asks to "write recipe tests", "add test coverage", "test OpenRewrite recipe", "fix fail...
☆ 16Voir le skill
GitHub
demo
Bootstrap and navigate the spec-kit demo environment. Use this when asked to set up the demo, bootstrap the demo, jump to a phase, go to a phase, switch phases, or clean up a demo.
☆ 16Voir le skill
GitHub
polymarket-trading
Polymarket-specific terminology, trading strategies, and API reference.
☆ 15Voir le skill
GitHub
polyflup-history
Chronological log of system improvements and session summaries for PolyFlup.
☆ 15Voir le skill
GitHub
python-bot-standards
Coding standards, modular architecture, and common execution patterns for the PolyFlup Python backend.
☆ 15Voir le skill
GitHub
database-analyzer
Specialized in syncing the production database and performing analysis on trades, balances, and market history.
☆ 15Voir le skill
GitHub
bookkeeper
Specialized in maintaining project documentation, ensuring it reflects the current state of the codebase and operational procedures.
☆ 15Voir le skill
GitHub
svelte-ui-standards
Coding standards and UI guidelines for the PolyFlup Svelte dashboard.
☆ 15Voir le skill
GitHub
trainer
Responsible for keeping the system's "Skills" and internal knowledge base up to date with the latest project developments.
☆ 15Voir le skill
GitHub
database-sqlite
SQLite best practices, connection management, and migration system for PolyFlup.
☆ 15Voir le skill
GitHub
log-analyzer
Specialized in syncing logs from production and analyzing them to find trade history, errors, or performance metrics.
☆ 15Voir le skill
GitHub
polyflup-ops
Operational commands, environment configuration, and deployment for PolyFlup.
☆ 15Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.