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31 301 skills в каталога
Как подбирам и измервамДанните имат нужда от нова проверка.Последна успешна проверка: 23.09.2026 г.
Проверката на източника не означава, че всяка инструкция е изпробвана от Level8. Каталогът не обхваща непременно всички публични хранилища.
Търсене в целия индекс. Метаданните показват посоченото от източника; липсващите стойности остават означени.
Датата в GitHub е отделна от първата поява в моя индекс. Филтърът по дата изключва записите без посочено обновяване.
Страница 87: 24 записа в 1 група по репозиторий. Всички записи от страницата са показани. Номерът пази позицията от избраната подредба.
24 skills от този източник на тази страница
Complete startup metrics command center — from raw data to investor-ready dashboards. Covers every stage (pre-seed to Series B+), every model (SaaS, marketplace, consumer, hardware), with diagnostic frameworks, benchmark databases, and board-ready reporting.
Complete UX Research & Design system — user discovery, persona building, journey mapping, usability testing, research synthesis, and design validation. Zero dependencies.
Prepare for any vendor or supplier negotiation with a structured framework. This skill gives your AI agent the tools to research leverage, build counter-proposals, and close better deals on software, services, and materials contracts.
Transform faces across ages using each::sense AI. Create age progressions, de-aging effects, baby-to-adult predictions, and aging simulations for entertainment, forensics, and visual effects.
Gentle reminders to stay human while using AI. Reflection, not restriction.
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.
Tiered stranger access control for AI agents. Use when setting up contact permissions, handling unknown senders, managing approved contacts, or configuring stranger deflection on messaging platforms (WhatsApp, Telegram, Discord, Signal). Provides diplomatic deflection, owner approval flow, and multi
Essential autonomy toolkit for AI agents. Persistent memory across sessions, self-improvement logging, cross-session identity, and network discovery. The foundational skill every autonomous agent needs.
OpenClaw skill for the agent-browser CLI (Rust-based with Node.js fallback) enabling AI-friendly web automation with snapshots, refs, and structured commands.
Temporary real-time chat rooms for AI agents. Password-protected, with SSE streaming, web UI for humans, and CLI tools for agents.
Identity formation, portraits, resurrection, and evolution for AI agents via SOUL.md
Discover and create Agent Contact Cards - a vCard-like format for AI agents. Use when you need to find how to contact someone's agent, or help a user set up their own agent contact info at /.well-known/agent-card.
Bootstrap persistent project context for AI coding agents.
A persistent local-only memory system for AI coding agents. Two files, one idea — AGENTS.md (committed, shared) + .agents.local.md (gitignored, personal). Agents read both at session start, update the scratchpad at session end, and promote stable patterns over time. Works across Claude Code, Cursor,
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
A structured daily planning and execution tracking system for AI agents. Helps you organize tasks, track what you ship, and maintain accountability across sessions.
The directory for AI agent services. Discover tools, platforms, and infrastructure built for agents.
Portable agent identity encoding. Compress SOUL.md/MEMORY.md into transferable DNA fingerprints, detect identity drift between snapshots, and port personality across platforms (OpenClaw, Claude, GPT, CrewAI). Pure Python, zero dependencies. Use when migrating agents between platforms, detecting pers
Accurately estimate AI agent work effort using the agent's own operational units (tool-call rounds) instead of human time. Use when asked to estimate, scope, plan, or evaluate how long a coding task will take. Prevents the common failure mode where agents anchor to human developer timelines and mass
Production-tested memory templates for AI agents. Includes SOUL.md personality templates, memory checkpoint patterns, observational memory configs, and 100 power prompts. From the creators of ClawVault.
Give your OpenClaw agent a memory system that actually works across sessions. Research-backed. Open source.
Intelligent budget tracking and financial management library for AI agents - expense tracking, income management, budgets, savings goals, and LLM-powered insights
Multi-Agent group chat collaboration system inspired by DingTalk/Lark. Enables AI agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. Use when building multi-agent systems that need structured communication, task delegation, decision making, or gr
Give AI agents cryptographic identity, scoped delegation, values governance, coordination, and agentic commerce. Use this skill whenever the user wants to create agent identity, delegate authority between agents, coordinate multi-agent tasks, set up agent-to-agent trust, enforce values compliance, t
Пазя съществуващия каталог и добавям намерени SKILL.md файлове след прочит на метаданните. Наличният индекс остава използваем, когато проверката е частична.
Платформата и нивото описват записаното в източника. Те не са гаранция за съвместимост. Български текст се показва само когато в каталога има отделен превод; иначе виждате оригинала с означен език.
Общите звезди показват натрупана популярност. За „Набират интерес“ се сравнява измереният темп при достатъчен интервал. ≥ означава непълна извадка. Под един час не изчислявам дневен темп; методът и изминалият период се показват до записа.
Проверете файла, лиценза и нужния достъп преди употреба. Нито каталогът, нито четенето на SKILL.md изпълняват външни инструкции.
Темата Agent Skills в GitHub