
Claude Skills by majiayu000
github.com/majiayu000Framework for building AI agents that work effectively across multiple context windows on complex, long-running tasks. Use when building agents for multi-hour/multi-day projects, implementing persistent coding workflows, creating systems that need state management across sessions, or when an agent needs to make incremental progress on large codebases. Provides initializer and coding agent patterns, progress tracking, feature management, and session handoff strategies.
Design long-running agent harnesses with resumable checkpoints and initializer/coder handoffs. Use when tasks span multiple sessions or require recovery after interruption.
Analyzes long straddle volatility plays with ATM call and put at same strike. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting large price movement in either direction, analyzing earnings plays, evaluating volatility opportunities, or assessing binary event outcomes on high IV stocks.
Analyzes long strangle volatility plays with OTM call and put at different strikes. Requires numpy>=1.24.0, pandas>=2.0.0, matplotlib>=3.7.0, scipy>=1.10.0. Use when expecting very large price movement, want lower-cost alternative to straddle, analyzing high-volatility events, or evaluating wide-range breakout opportunities on stocks with elevated IV.
Maintains continuity across long-running tasks that span multiple agent sessions. Use when starting or resuming a complex project that spans multiple sessions, or for tasks with many discrete features requiring iterative development.
This skill should be used when users explicitly request academic papers, recent research, most cited research, or scholarly articles about longevity, aging, lifespan extension, or related topics. Triggers on phrases like "find papers on", "latest research about", "most cited studies on", or "academic literature about" in the context of longevity.
Detect behavioral drift and alignment degradation over time.
Autonomous multi-step work with dual-reviewer supervision (1A2A workflow) and compound engineering principles
Search Mathlib for lemmas by type signature pattern
Search for Lean 4 and Mathlib theorems, lemmas, and definitions by type signature, name, or subexpression pattern. Use when the user asks to find a theorem, look up a Lean definition, search for lemmas, or needs help discovering Mathlib functions.
This skill should be used when the user asks to 'look at', 'analyze', 'describe', 'extract from', or 'what's in' media files like PDFs, images, diagrams, screenshots, or charts. Triggers include: 'what does this image show', 'extract the table from this PDF', 'describe this diagram', 'what's in this screenshot', 'analyze this chart', 'read this image', 'get text from this PDF', 'summarize this document', or requests for specific data extraction from visual or document files. Use when analyzed...
Capture image from webcam and optionally view or send it. Use when wanting to see surroundings, take a photo, check what's visible, or share a view with collaborator. Trigger words: look, see, webcam, camera, photo, capture, what's around, show me.
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling
Library documentation via Context7. Use for API references, code examples, framework docs.
Look up BSV address information using WhatsOnChain API. Shows balance, transaction history, and UTXO details.
Record and share video messages with Loom - create screen recordings, manage video library, and track viewer engagement
Resolve git merge conflicts in compound-managed LOOM docs (LOOM_CHANGELOG.md, LOOM_ROADMAP.md) without breaking BEGIN/END fences.
Manage Loom team tickets as a team manager with limited permissions (no git merge/push, no loom team commands). Handle ticket lifecycle: create, update, add notes, track dependencies, identify blockages.
Process merge queue items as a Loom merge worker - claim, merge, mark done, handle no-op merges, and resolve compound block conflicts correctly.
REQUIRED skill for creating Loom execution plans. Designs DAG-based plans with mandatory knowledge-bootstrap and integration-verify bookends, parallel subagent execution within stages, and concurrent worktree stages for maximum throughput. Trigger keywords: loom, plan, stage, worktree, orchestration, parallel execution, parallel stages, concurrent execution, knowledge-bootstrap, integration-verify, acceptance criteria, signal, handoff, execution graph, dag, dependencies, loom plan, create pla...
Manage Loom team worker lifecycle from spawn to retire, including ticket assignment, progress tracking, merge operations, and workspace cleanup.
Diagnose and fix Loom team manager pane dying immediately (tmux pane status 1).
Act as Team Manager for Loom team, handling ticket workflow when team commands may be unavailable
Use loom ticket for ticket creation, status updates, deps, and notes.
Use loom workspace to create/manage worktrees for isolated execution of tickets.
Manage Loom video recordings - list, share, and get analytics via Loom API.
Execute workflow agents iteratively for refinement and progressive improvement. Use when tasks require repetitive refinement, multi-iteration improvements, progressive optimization, or feedback loops until quality criteria are met.
Scaffold middleware to detect and block Worker self-recursion, infinite fetch chains, and runaway loops. Use this skill when designing Workers that call other Workers, implement webhooks, or handle events that might trigger themselves. Also use when encountering "recursion", "infinite loop", "self-call", "fetch chain", or "denial of wallet" scenarios.
Detect chromatin loops and point interactions from Hi-C data using cooltools, chromosight, and HiCCUPS-like methods. Identify CTCF-mediated loops and enhancer-promoter contacts. Use when detecting chromatin loops from Hi-C data.
循环执行的 Skill。当需要重复执行直到满足条件时触发。触发词:循环、loop、重复、直到、until、持续。
Convert Python loops to vectorized PyTorch tensor operations for performance. This skill should be used when optimizing computational bottlenecks in PyTorch code during Phase 4 performance optimization.
Review and manage brainstorm ideas from Telegram
End-to-end testing for looplia CLI from local source. Builds the CLI, initializes workspace, runs the writing-kit workflow, and verifies outputs. Use when testing local development or validating workflow execution.
Search commercial real estate listings with LoopNet's marketplace.
Imported skill lora_ofl from anthropic
PySide6 widget implementation for LoRAIro GUI with Signal/Slot pattern, Direct Widget Communication, and Qt Designer integration best practices
SQLAlchemy repository pattern implementation for LoRAIro database operations with type-safe transactions, session management, and ORM best practices
Generate pytest unit, integration, and GUI tests for LoRAIro with proper fixtures, mocks, and 75%+ coverage using pytest-qt for PySide6 testing
Create, tighten, or review runnable /goal contracts for coding agents such as Codex, Claude Code, Cursor, and similar agent tools. Use when the user asks to write, make, generate, improve, productize, or critique a goal prompt, rescue contract, GOAL.md-style task, done-when contract, verification prompt, stop-rule prompt, or when they want to convert a vague engineering request, issue, PR, CI failure, bug report, plan, or backlog item into one measurable coding-agent task. Prefer source-backe...
Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.
Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.
Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRo...
Build financial models, backtest trading strategies, and analyze
Generate Ralph-compatible prompts for research, analysis, and planning tasks. Creates prompts with systematic research phases, synthesis requirements, and deliverable specifications. Use when analyzing codebases, creating migration plans, researching technologies, auditing security, or any task requiring investigation before action.
Memory Sync Skill
Memory Sync Skill
Create database migrations, define table schemas, and manage constant tables (enums). Use when: (1) creating a new database table, (2) running 'make migrate.create', (3) adding enum/status values, (4) modifying table structure. REQUIRED first step before add-domain-entity.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Intelligently organizes files and folders by understanding context, finding duplicates, and suggesting better organizational structures. Use when user wants to clean up directories, organize downloads, remove duplicates, or restructure projects.