memory-forge
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6,593 skills indexed with the new KISS metadata standard.
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Proteomics analysis toolkit for label-free quantitative proteomics. Invokes R scripts for normalization, visualization (volcano, heatmap, PCA, LOPIT), pathway analysis (KEGG, ConsensusPathDB), and protein list cross-referencing (MISEV2018, SASP, Matrisome). USE WHEN user says 'analyze proteomics', 'volcano plot', 'normalize protein data', 'pathway enrichment', 'check EV markers', 'SASP analysis', 'matrisome', OR mentions q-value, fold-change, or protein quantification.
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.
2. 算法 链表翻转 异或取数组中的不同数
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A filesystem-based stigmergy communication protocol. Use this to leave invisible "pheromones" (signals) on files to communicate context, risks, or status to other agents or your future self without modifying file content.
Manage Raindrop.io bookmarks, collections, tags, and highlights via API. Use when user mentions raindrop, bookmarks, saving links, organizing URLs, bookmark collections, or web highlights.
Assiste au développement avec le framework e-commerce Vendure pour Node.js. Gère le commerce headless, les APIs GraphQL, la gestion des commandes, les catalogues produits, l'intégration des paiements et le développement TypeScript e-commerce. Utiliser lors du travail sur des projets Vendure, la création de plugins, ou l'intégration de storefronts.
This skill should be used when the user asks to "explain", "break down", "help me understand", "teach me about", or requests clarification of technical concepts (AI, ML, software development, or other technical topics). Transforms complex ideas into clear, accessible explanations using narrative storytelling frameworks.
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.
Manage hierarchical project plans in SQLite. Tree-based structure with phases and tasks. Multiple output formats (text, JSON, XML, markdown).
AI context persistence - tags in code = permanent memory across sessions
Repo Updater - Multi-repo synchronization with AI-assisted review orchestration. Parallel sync, agent-sweep for dirty repos, ntm integration, git plumbing. 17K LOC Bash CLI.
**Generated:** 2026-02-12
This repository expects any automation agent (Codex CLI, LLM assistants, scripted bots) to follow the rules below before delegating to folder-specific AGENTS guides. Treat this document as the global source of truth; per-directory `AGENTS.md` files (for example `agent/AGENTS.md`) extend these rules
The n8n-copilot-shim is an **orchestration agent** that manages multiple specialized subagents, each configured to handle specific domains and tasks. This document describes the agent system architecture and how to work with agents.
**Version 1.0.0**
你正在 `/Users/bensz/Nutstore Files/PythonCloud/Agents/pipelines/skills` 中工作:该目录用于开发与维护一组"可复用 Agent Skills"。
Nix-darwin/NixOS service module wrapping [nix-openclaw](https://github.com/openclaw/nix-openclaw) for Telegram AI assistant.
generic skill
- **Category**: Feature
PhiCookBook adalah repositori buku resep yang komprehensif berisi contoh praktis, tutorial, dan dokumentasi untuk bekerja dengan keluarga Small Language Models (SLMs) dari Microsoft, yaitu Phi. Repositori ini menunjukkan berbagai kasus penggunaan termasuk inferensi, fine-tuning, kuantisasi, implemen
PhiCookBook is a comprehensive repository of cookbooks containing practical examples, tutorials, and documentation for working with Microsoft's Phi family of Small Language Models (SLMs). The repository showcases various use cases, including inference, fine-tuning, quantization, RAG implementations,
**Load this reference when:** creating or editing skills, before deployment, to verify they work under pressure and resist rationalization.