A cryptographically verifiable code review system for the cargo (Rust) package manager.

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

Rust task runner and build tool.

A curated suite of AI agent skills for systems and low-level programming, covering C/C++, Rust, Zig, and various toolchain components like compilers, debuggers, and profilers.

📱🐭 No we are not computer use, it's Application Use Via... a unified orchestration layer of OS automation, 0 token cost

Free macOS menu bar app to visualize and clean developer caches (Xcode, node_modules, CocoaPods, SPM, Docker, pip, Cargo). Reclaim disk space instantly.

Desktop application for discovering, installing, and managing AI agent skills across multiple coding tools.

A collection of 17 GTM engineering agent skills for lead building, email verification, enrichment, scoring, CRM sync, and buying-signal monitoring, installable in Claude Code, Codex, and Cursor.

16-dimension security posture assessment with adaptive activation, health scoring, and remediation plan. Covers application security, infrastructure, auth, crypto, privacy, supply chain, and more. Use when assessing security posture, auditing code for vulnerabilities, reviewing compliance, or preparing for security reviews.

:icecream: Powerful software development experience and management. Enhancing @tc39 JS, @denoland and @nodejs, because we need a bit of magic. :sparkles: You can think of it as Cargo for the JavaScript ecosystem.

Performance review checklist — hot paths, async-runtime discipline, streaming, query-client tuning, layout pre-measurement, token/cost. Load when reviewing perf-sensitive changes.

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