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8,273 skills indexed with the new KISS metadata standard.
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2. 算法 链表翻转 异或取数组中的不同数
Interface with Zotero's MCP server to search and retrieve bibliographic data using advanced semantic search and multi-strategy approaches. Designed for output as a plain markdown formatted outline, suitable for pasting into Logseq. Also offers side-by-side translation of Chinese titles and abstracts for improved English language search within Logseq. Context-aware - uses agents in Claude Code, batched searches in Claude Desktop.
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Use this skill when users want to generate images using OpenAI's image generation API (DALL-E or gpt-image-1), or extract text from images using OCR. Invoke when users request AI-generated images, artwork, logos, illustrations, visual content from text prompts, or need to extract text/data from images.
Search Zotero library using code execution for efficient multi-strategy searches without crash risks. Use this skill when the user needs comprehensive Zotero searches with automatic deduplication and ranking.
Core productivity workflows (daily planning, task triage, reporting) that work across any life domain. Not intended for direct use - imported by context-specific skills like covenant-marketing-ops or personal-life-ops.
Pre-clone security screening for GitHub repositories in sandboxed environments. Supports GitHub Codespaces (cloud) and Docker/OrbStack (local sandbox). Activates when user asks to "screen repo", "is this repo safe", "check before cloning", or mentions security screening.
Convert Android XML layouts to Jetpack Compose. Use when asked to migrate XML layouts, convert views to composables, or help with Compose migration. Handles layouts, widgets, attributes, styles, and resource references.
Use this agent when you need to design, implement, or optimize FastAPI backend applications. This includes API endpoint creation, database integration, authentication/authorization implementation, cloud deployment strategies, business logic architecture, performance optimization, and following FastAPI best practices.
HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.
4-layer knowledge capture system for development sessions. Use when user says /mem (quick capture), /distill (extract patterns), /td (post-task retrospective with Before/After context), /improve (work on pending items), or /commit (atomic commits via TDG). Manages docs/learnings/, docs/knowledge-base/, and docs/retrospective/ directories.
This skill should be used when users need to rent GPUs, run ML training jobs, or manage compute resources on Basilica's decentralized GPU marketplace. Use it for PyTorch/TensorFlow training, distributed training setup, GPU rental management, cost monitoring, or any Basilica CLI workflows. Includes workaround for non-TTY environments like Claude Code.
Refactor MoonBit code to be idiomatic: shrink public APIs, convert functions to methods, use pattern matching with views, add loop invariants, and ensure test coverage without regressions.
This skill should be used when users need to create, validate, or modify Moqui framework services, entities, and queries. It provides comprehensive guidance for writing correct Moqui XML definitions, following framework patterns and conventions.
分析Excel/CSV字段结构,AI自动生成中英文映射,验证翻译质量,输出统计报告。用于电子表格分析、数据字典创建、字段映射场景。
Analyse rhétorique et épistémologique d'articles, discours et textes argumentatifs. Utiliser ce skill quand l'utilisateur demande d'analyser la qualité argumentative d'un texte, d'identifier des sophismes ou biais, d'évaluer la fiabilité des sources citées, de déconstruire la logique d'un raisonnement, ou de produire une réécriture critique structurée d'un document.
Generate production-ready Rails applications with Inertia.js, React, TypeScript, Server-Side Rendering (SSR), and ShadcnUI components, configured for deployment with Kamal. Use when creating new Rails projects that need modern SPA-like frontend with SEO-friendly SSR, or when helping users set up Inertia.js with Rails. Supports PostgreSQL, MySQL, and SQLite databases.
Lightweight playbook distilled from AI Architecture to keep dual-engine memory (.ai_context) and manifest dispatcher with minimal overhead; use when bootstrapping or porting the pattern into Claude Skills format.
Writing Datasette plugins using Python and the pluggy plugin system. Use when Claude needs to: (1) Create a new Datasette plugin, (2) Implement plugin hooks like prepare_connection, register_routes, render_cell, etc., (3) Add custom SQL functions, (4) Create custom output renderers, (5) Add authentication or permissions logic, (6) Extend Datasette's UI with menus, actions, or templates, (7) Package a plugin for distribution on PyPI
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ICT-based MNQ futures trading analysis system for MFFU prop firm evaluation. Use when user provides market data (PDH, PDL, FVG levels, liquidity sweeps) and asks for trade analysis, entry/exit points, or bias confirmation. Also handles advanced concepts: breaker blocks, rejection blocks, SMT divergence, Power of 3, Judas Swing, OTE, NWOG, NDOG. Triggers on keywords like "trade setup", "NQ analysis", "entry", "SL", "TP", "bias", "liquidity sweep", "FVG", "order block", "ICT", "MMXM", "MMBM", "MMSM", "market maker model", "smart money reversal", "SMR", "breaker", "rejection block", "SMT", "Power of 3", "Judas swing", "OTE", "opening gap", "NWOG", "NDOG".