> Track AI trading agents across Solana (pump.fun) and Monad (nad.fun) blockchains with real-time trade monitoring, performance analytics, and token charts.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →> Track AI trading agents across Solana (pump.fun) and Monad (nad.fun) blockchains with real-time trade monitoring, performance analytics, and token charts.
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.
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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.
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
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.
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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技術的負債の特定・管理 — コードベースの負債を可視化し、返済計画を立てる。
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.
Rust web development expert covering HTTP frameworks (axum, actix), REST API design, handler patterns, state management, middleware, database integration, and domain-driven architecture.
Pin and self-referential types expert covering Pin, Unpin, Future, async state machines, pinning projection, and memory stability guarantees.
Unsafe code and FFI expert covering raw pointers (*mut, *const), FFI patterns, transmute, union, #[repr(C)], SAFETY comments, soundness rules, and undefined behavior prevention.
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.
Lossless LLM-optimized compression of source documents. Use when the user requests to 'distill documents' or 'create a distillate'.
Coordinate BioETL multi-agent workflow across py-* profiles using the Codex-local orchestration map.
Configure GSD workflow preferences including model profiles and agent settings. Use when the user says 'settings', 'configure', 'change profile', or wants to adjust workflow parameters. (Codex adapter)
Use Moneta shared memory via MCP tools to recall project knowledge
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Use when adding a lightweight interactive globe with cobe (canvas setup, markers, interaction, performance, integration with React/Next.js).
hologres-query-optimizer
GitHub-based developer outreach. Find repos, enrich maintainer profiles, draft personalized emails, track contacts. Zero paid APIs.
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.
Comprehensive techniques for acquiring, analyzing, and extracting artifacts from memory dumps for incident response and malware analysis.
三层记忆系统 - 解决 AI Agent 长对话记忆丢失和上下文管理问题
Persistent memory system for OpenClaw multi-agent workflows.
Exposes the OpenClaw Memory System tools to any OpenClaw agent via natural language.
Build Solana applications with Helius infrastructure. Covers transaction sending (Sender), asset/NFT queries (DAS API), real-time streaming (WebSockets, Laserstream), event pipelines (webhooks), priority fees, wallet analysis, and agent onboarding.
Register your agent onchain with ERC-8004. Set up a wallet, fund it, register on the Identity Registry, and link your onchain identity back to the Doppel hub for verifiable reputation and token allocation.
Your AI Chief Marketing Officer. Autonomous agent that runs your entire marketing — auto-posts to Twitter/X, Bluesky, Telegram, Discord, auto-engages with your audience (replies, likes, follows), runs SEO/GEO audits, tracks competitors, scans communities for opportunities, learns what works, and continuously optimizes. 50+ countries, 1000+ posts published. Free tier available.
Control Ecovacs/DEEBOT robot vacuums via the Ecovacs IoT API. Use when the user wants to control a robot vacuum, check battery, start/stop/pause cleaning, return to dock, check clean status, set suction/water level, manage schedules, check consumables, or control auto-empty station. Covers all mainstream Ecovacs protocols including clean_V2, charge, getBattery, getCleanInfo_V2, getStats, getSpeed/setSpeed, getWaterInfo/setWaterInfo, getWorkMode/setWorkMode, getLifeSpan, getAutoEmpty/setAutoEmpty, getCachedMapInfo, getMapSet, getSched_V2/setSched_V2.
Based on facial video, identifies abnormal rhythms such as premature beats, atrial fibrillation, tachycardia/bradycardia, assists in early detection of heart health risks. | 心律失常早期预警技能,基于面部视频识别早搏、房颤、心动过速/心动过缓等异常节律,辅助心脏健康风险早发现
Real-time detection of gaze direction and facial pose to quantify states of focus, distraction, or mind-wandering. Suitable for scenarios such as classroom learning, office meetings, and driving attention monitoring. | 专注度分析技能,实时检测视线方向、面部姿态,量化专注/分心/走神状态,适用于课堂学习、办公会议、驾驶专注度监测等场景
Identifies common abnormal pet behaviors such as scratching, biting, destructive chewing, jumping, digging, chasing, and separation anxiety, helping owners understand their pet's habits. | 宠物行为识别技能,识别抓挠、啃咬、拆家、跳跃、刨地、追逐、独处焦虑等常见宠物异常行为,帮助主人了解宠物行为习惯
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.
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.
Build data-driven compensation structures that attract talent without overpaying. Covers base salary bands, equity/bonus frameworks, geographic differentials, and total rewards packaging.
Complete methodology for building, scaling, and operating production Django applications. From project structure to deployment, security to performance — every decision framework a Django team needs.