Sandbox
287 repos for engineer · Any agentClear

Official agent skills from Black Forest Labs for FLUX image and video generation — prompting guides and API integration patterns for Claude Code, Codex, and any agentskills.io-compatible agent.

115
EvoLinkAI/
awesome-claude-fable-5

Curated Claude Fable 5 use cases, tutorials, integrations, demos, and benchmark evidence with source links and multilingual README files.

49

Audit and shrink your Claude Code startup context. Measures what every skill, plugin, agent, and memory file costs in the system prompt, then reversibly disables the dead weight. No proxy, no compression.

45
stretchvancouver/
stretch-ai-yoga

Cognitive training practices for AI agents. Self-applied. Open source. Built by an independent Vancouver yoga studio.

37
virgiliojr94/
book-to-skill

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

30k
matlab/
matlab-mcp-server

Run MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks®. This MCP server for MATLAB supports a wide range of coding agents like Claude Code® and Visual Studio® Code.

1.5k

Decision audit trail + persistent memory for AI trading agents. Outcome-weighted recall, tamper-evident SHA-256 chain with RFC 3161 anchoring, 20 MCP tools.

1.4k
sparkplug604/
praxis
sparkplug604/praxisFrameworks & SDKs

Turn scattered knowledge, operational data, and history into source-linked context that your agents can inspect, explain, and reuse.

56

Portable project memory across Claude Code, Codex and OpenCode, plus token accounting measured from harness transcripts. Local file I/O, no API calls, no telemetry.

2.3k
ReinaMacCredy/
maestro

Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-first methods, powered by TypeScript and Bun.

232

A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files.

949
mxyhi/
ok-skills
mxyhi/ok-skillsCollections

Curated AI coding agent skills and AGENTS.md playbooks for Codex, Claude Code, Cursor, OpenClaw, and other SKILL.md-compatible tools.

484
growthxai/outputFrameworks & SDKs

The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already in place.

435

Knowledge graph extractor: Markdown (or any format) to knowledge graph with RDFS/OWL ontology

71

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.

43
nextlevelbuilder/
goclaw

GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.

3.6k
Wholiver/
metis

Metis is a coding agent that boosts AI/LLM coding performance by 50%

138
decionis/
docker
decionis/dockerConnectors

Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

166

Private Skill distribution platform for AI coding agents: publish, install, update, and rollback team skills across Cursor, Claude Code, Codex, and OpenClaw with a minimal server + skb CLI.

119

Monitor Claude Code sessions, costs, config, hooks, agents & MCP servers from a single Rust binary — TUI (9 tabs) + Web interface with live process tracking, budget alerts, and 30-day forecasting

97

HAR: open agent harness (CLI + MCP) for coding agents. Isolated worktrees, deterministic verify, software factory workflows for Claude Code, Cursor, and Codex.

88
solarch-dev/
solarch

Diagram→code through a deterministic rules gate: the AI proposes, 50 rules verify, only valid architecture lands. Try it: app.solarch.dev

47

Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence

56

C.O.N.T.EX.T is designed to compress complex, multi-domain conversations into machine-optimized "Carry-Packets." These packets achieve a crystallization point of 0.15 entity/token, ensuring that a receiving model can reconstruct the original context with near-perfect fidelity.

32