Sandbox
2,782 repos for agen · CodingClear
hanlulong/
openecon-data

Give your AI agent accurate economic data. 330K indicators from FRED, World Bank, IMF, Eurostat & more. MCP server + web UI.

71
AElfProject/
aelf-skills

Unified aelf skills hub for discovery, routing, bootstrap, and health checks across OpenClaw, Codex, Cursor, and Claude Code.

184

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

16k
getsentry/
sentry-mcp

An MCP server for interacting with Sentry via LLMs.

846
leynier/
python-template

Generate production-ready Python and AI stacks by combining frameworks, data engines, tooling, and cloud deployment.

37
masteranime/
n8n-claude-skills

Production Claude Code skills for n8n from a Verified Creator's 100+ workflows

32
BlockRunAI/
blockrun-mcp

Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments.

395
Leonxlnx/
unlazy

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

3.2k
termdock/
termdock-issues

Let AI write the code — you own the view. Termdock: the AI-native terminal for macOS & Windows. Claude Code / Codex / Gemini / GitLab Duo agent sessions, diff impact analysis, visual Git review, and a fully customizable backdrop (your images, themes, fonts). GPU-fast, battery-kind.

154
yvgude/
lean-ctx
yvgude/lean-ctxConnectors

LeanCTX — Context Intelligence for AI systems.

3.8k
spencermarx/
obsidian-ai

Bring your own AI environment to Obsidian. For note/doc creation, refinement, search, organization, management, you name it!

48

🥷 A code-first, strongly-typed build automation system for Deno.

38

Vestige enhances agents by deterministic root-cause retrieval that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, not the lookalike.

617