> Track AI trading agents across Solana (pump.fun) and Monad (nad.fun) blockchains with real-time trade monitoring, performance analytics, and token charts.

Persistent local memory for AI agents. Save, recall, and search project decisions as local JSON. Zero cloud, zero infrastructure.

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memwal

Karpathy's LLM Wiki pattern, built for Claude Code. Long-term memory for Claude via Obsidian: captures URLs, PDFs, GitHub, YouTube and compiles them into a structured Obsidian vault with citations that grows smarter every session. Second brain, zettelkasten, and autonomous research assistant in one. Keywords: llm-wiki, obsidian-plugin, knowledge-base, compounding-knowledge, claude-code, pkm, llm-memory.

<!-- NavAIgate NotebookLM Skill — navaigate.dev -->

Configures Laravel Nightwatch data collection, sampling rates, filtering rules, and redaction policies. Use when setting up Nightwatch, managing data volume, protecting sensitive data (PII), or optimizing event collection for production workloads.

Search and select a Claude Code skill in the terminal, then copy /skill to clipboard.

Analyze writing samples to create a comprehensive voice DNA profile. Use when the user wants to capture their unique writing voice, needs to create a voice profile for AI content, or is setting up a new writing system.

Provides comprehensive guidance for Rspack bundler including configuration, plugins, loaders, optimization, and Webpack compatibility. Use when the user asks about Rspack, needs to configure Rspack, optimize build performance, or migrate from Webpack.

Detects performance bottlenecks in Godot projects including expensive _process functions, get_node() calls in loops, instantiations in _process, and provides optimization suggestions with Godot profiler integration

Fast save-point: sync all session-context files and MEMORY.md with current progress. Zero questions, zero delay. Use when user says /sync, save progress, save state, sync context, or /sync --full for capability inventory.

Fan-out search across all memory sources when context is unclear or vaguely referenced. Triggers on: 'from earlier', 'remember when', 'what we discussed', 'that thing with', 'the conversation about', 'did we ever', 'what happened with', 'you mentioned', 'we talked about', 'earlier today', 'last session', 'the other day', or any vague reference to past context that needs resolution before the agent can act.

Structured approach to improving performance through focused effort, feedback, and

Investigate the intended scope of a codebase topic through discussion with a human, propose a research-note outline, and only create a .memory-bank/research file after explicit human confirmation.

Optimize X/Twitter posts for maximum reach using algorithm insights. Use when writing tweets, improving post engagement, or analyzing why posts underperform.

Persistent session memory for Ethereal. Maintains context between Cowork sessions so nothing gets lost. Updates CLAUDE.md, tracks open tasks, records decisions, and ensures session handoffs are clean. Use at START and END of every session.

Complete mastery of essential modern web development libraries and dependencies. Cover Next.js, React, TypeScript, Tailwind CSS, Firebase, Zustand, redux-toolkit, react-hook-form, Zod, shadcn/ui, lucide-react, Stripe, and more. Learn setup, integration patterns, advanced usage, performance optimization, troubleshooting, common pitfalls, and version management. Includes quick reference guides, in-depth tutorials, complete examples for e-commerce and SaaS, configuration files, type definitions, error handling, and production patterns. Master how libraries work together and solve real-world challenges.

Premier setup d'un nouvel utilisateur BOS. Déclenché automatiquement quand `Core/Profile.md` est vide ou n'existe pas.

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This skill should be used when defining a robust, type-safe, and async-compatible database schema for the Todo application using SQLModel, ensuring compatibility with Better Auth and optimized for PostgreSQL.

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Run CPU and memory profiling with pprof to identify performance hotspots. Use when investigating high resource usage.

Closes a session cleanly so the vault, memory, and git history all reflect the work.

Check LP performance. Analyzes image sizes, CSS/JS optimization, render-blocking resources, and page speed factors.

Vite next-generation frontend build tool with fast HMR and optimized builds. Use when configuring Vite, adding plugins, working with dev server, or building for production.

Prepare a MemoryLane release by updating the version and release notes, then creating and pushing the tagged release commit that triggers CI. Use when the user asks to release, ship, publish, bump version, or cut a stable or prerelease version.

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Tips for working with a Bevy application

Optimizes Three.js rendering performance. Use when rendering large numbers of objects, optimizing frame rates, implementing streaming, or managing memory in voxel/block-based scenes.

Storage backends and indexing for vector databases in Elixir. Use when choosing persistence, implementing exact vs approximate k-NN, or integrating pgvector, file, or ETS for vector storage.

Export the design profile as CSS custom properties with dark mode overrides.

Profile app performance while browsing, collecting Web Vitals and React rerender data via react-scan. Orchestrates parallel profiler subagents via playwright-cli to capture navigation timing, long tasks, layout shifts, LCP, React commit counts, render bursts, and per-component render data. Use when profiling browsing performance, finding bottlenecks, diagnosing excessive rerenders, or auditing page performance.

Desenvolve aplicações Vue 3 seguindo arquitetura Feature-Sliced Design (FSD), implementando lazy loading, code splitting, e padrões de performance. Use quando desenvolvendo features, componentes, ou trabalhando com Vue 3 neste projeto.

Implements Geoffrey Huntley's Ralph Wiggum autonomous iteration technique for managing LLM context. Use when working on long-running tasks, when context is getting polluted, or when you need autonomous development with deliberate context rotation. Treats LLM context like memory - rotates to fresh context before pollution builds up, with state persisting in files and git.

Token-optimized CLI proxy for developer operations (60-90% savings)

Rust web development expert covering HTTP frameworks (axum, actix), REST API design, handler patterns, state management, middleware, database integration, and domain-driven architecture.

GPU 内存与计算专家。处理 CUDA, OpenCL, GPU memory, compute shader, memory coalescing, zero-copy, 显存管理, 异构计算--- # GPU 内存与计算 ## 核心问题 **如何在 Rust 中高效管理 GPU 内存和异构计算？** GPU 计算需要特殊的内存管理策略和同步机制。

Pin and self-referential types expert covering Pin, Unpin, Future, async state machines, pinning projection, and memory stability guarantees.

用户态网络专家。处理 DPDK, 用户态驱动, 高性能网络, packet processing, 零拷贝, RSS 负载均衡--- # 用户态网络 (DPDK) ## 核心问题 **如何实现百万级 PPS 的高性能网络数据包处理？** 传统内核网络栈有太多上下文切换和内存拷贝开销。

Caching and distributed storage expert covering Redis, connection pools, TTL strategies, cache patterns (Cache-Aside, Write-Through), invalidation, and performance optimization.

Unsafe code and FFI expert covering raw pointers (*mut, *const), FFI patterns, transmute, union, #[repr(C)], SAFETY comments, soundness rules, and undefined behavior prevention.

CRITICAL: Use for generics, traits, zero-cost abstraction. Triggers: E0277, E0308, E0599, generic, trait, impl, dyn, where, monomorphization, static dispatch, dynamic dispatch, impl Trait, trait bound not satisfied, 泛型, 特征, 零成本抽象, 单态化

Analyze and safely evolve World42 OriginCamera floating-origin behavior end-to-end. Use when requests mention OriginCamera, doublepos vs position, teleport/camera placement, camera speed/velocity metrics, world/render conversion bugs, or when editing camera integrations in src/core/camera/, src/core/control/, src/app/, src/systems/lod/, and render postprocess paths.

Load the shared ZirOS operator core, preserve the authority split between repo truth, AGENTS discipline, and Hermes posture, and keep local Hermes state classified as non-canonical overlay state.

SLURM and HPC guidance for Mycelia benchmarks and large-scale analysis

INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.