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

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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.

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.

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

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

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.

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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

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.

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.

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.

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.

Lossless LLM-optimized compression of source documents. Use when the user requests to 'distill documents' or 'create a distillate'.

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Use Moneta shared memory via MCP tools to recall project knowledge

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hologres-query-optimizer

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Use the Moneta CLI to recall project knowledge and remember

Create custom espresso extraction profiles for Gaggimate-equipped machines (Gaggia Classic Pro, Gaggia Classic Evo, Rancilio Silvia). Use when designing pressure profiles, flow profiles, blooming profiles, lever simulation profiles, or helping with espresso extraction settings and troubleshooting. Also use when the user mentions Gaggimate, espresso profiles, pressure profiling, or extraction parameters.

Autonomously audit a Magento 2 store performance across all 8 layers: cache, indexers, Redis, OpenSearch, database, PHP/OPcache, static assets, and queues.

Process video subtitles — transcribe speech, optimize/translate text, burn styled subtitles into video. Use when you need to add subtitles to a video, transcribe audio, translate subtitles, or customize subtitle styles.

세션 종료 시 Memory, Handoff를 자동 정리. /pack

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Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.

Analyze MaxText training job performance using tgs_tagger, TraceLens, and IRLens. Use when the user asks to analyze a training run, profile traces, HLO IR, TGS metrics, GPU utilization, or mentions tag_tgs, TraceLens, IRLens, xplane, or performance analysis.

Intel VTune and AMD uProf profiling skill for microarchitecture analysis. Use when analyzing hotspots, microarchitecture bottlenecks, memory access patterns, pipeline stalls, or using the roofline model. Covers VTune Community Edition (free) and AMD uProf as a free alternative. Activates on queries about VTune, uProf, microarchitecture analysis, pipeline stalls, memory bandwidth, roofline model, or hardware performance analysis.

Maintain working context via current-context.md - read before and update after every response with timestamp YYYYMMDD-HHMMSS

Control and manage VirtualBox virtual machines directly from openclaw. Start, stop, snapshot, clone, configure and monitor VMs using VBoxManage CLI. Supports full lifecycle management including VM creation, network configuration, shared folders, and performance monitoring.

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memory-curator

Infinite organized memory that complements your agent's built-in memory with unlimited categorized storage.

多平台通知聚合分层。把 GitHub、Stripe、Linear 等 SaaS 平台的通知邮件统一收到一个子邮箱，按紧急度分层：收款/CI 失败立即转发到 claw 注册邮箱，其他通知每天一封汇总。Use when: (1) setting up a unified notification inbox for multiple SaaS platforms, (2) running an on-demand notification check and route, (3) manually triggering a daily digest. Requires: mail-cli CLI with a 'notify' profile configured.

Self-driving agent workflow with heartbeat-driven task execution, day/night progress reports, and long-term memory consolidation. Integrates with todo-management for task tracking.

Mema's personal brain - SQLite metadata index for documents and Redis short-term context buffer. Use for organizing workspace knowledge paths and managing ephemeral session state.

High-performance temporary storage system using Redis. Supports namespaced keys (mema:*), TTL management, and session context caching. Use for: (1) Saving agent state, (2) Caching API results, (3) Sharing data between sub-agents.

Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.

Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, and memory hygiene. No APIs, no databases, no external tools. Works with any agent framework.