quit-weed
Take a tolerance break or quit cannabis with streak tracking and craving support
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101,147 skills indexed with the new KISS metadata standard.
Take a tolerance break or quit cannabis with streak tracking and craving support
八字命理 (Bazi / Four Pillars of Destiny) divination skill. Use when users request birth chart analysis, fortune telling based on birth date/time, or Chinese astrology. Triggers on: 八字, 四柱, 命盤, 排盤, 算命, 命理, 生辰八字, 天干地支, 五行, 流年, 大運, bazi, four pillars, Chinese astrology, birth chart.
八字命理 (Bazi / Four Pillars of Destiny) divination skill. Use when users request birth chart analysis, fortune telling based on birth date/time, or Chinese astrology. Triggers on: 八字, 四柱, 命盤, 排盤, 算命, 命理, 生辰八字, 天干地支, 五行, 流年, 大運, bazi, four pillars, Chinese astrology, birth chart.
A brief description of what this skill does
"timestamp": "2026-01-20T19:17:18.948797Z",
- Contracts: /Users/avral/projects/alcor/contracts/dex
Shared Drizzle ORM schema for the 15 core Datagrok tables that grok-smith apps reference
⚠️ This file is intentionally minimal.
generic skill
IMPORTANT: Turn on extended thinking. Turn on expert advice. Turn on search.
"semi": true,
This repository documents system prompts used by AI tools. As a security measure,
generic skill
SKILL.md file
Take a tolerance break or quit cannabis with streak tracking and craving support
Salience Delegation & Latent Horizon Preservation
generic skill
- **Integration tests using a real database must clean up after themselves** — tests run against shared Neon branches. Always delete created rows in `afterAll` so other test suites aren't affected by leftover data. Tests using mock repositories (`createMockContainer`) do not need cleanup.
This module provides architecture guidance for recurrent neural networks in PHM-Vibench. For available models and configuration, see [@README.md].
See the [AI Agent Guidelines](./.llm/context.md) for all AI agent guidelines.
Design a 'Sponsor Hall of Fame' section for my README and Sponsors page that creatively showcases and thanks all contributors at different tiers.
Generate initial causal rules \(R_0\) from clustering context.
На основе текста из истории, создай детальное описание одной сцены на английском, а затем иллюстрацию на основе описания. Используй нейтральные обозначения для людей и животных, не имена, например, "мальчик" вместо "Ваня", "женщина" вместо "Анна", "собака" вместо "Жучка", и т.п. Если в тексте больше
A core intuition and opinion baked into the design of VLM Caption is that multi-turn conversation can help extract superior information by allowing different questions to be asked, then bring them together with a final summary request. Other VLM scripts or apps are likely just trying to "one shot"