ambitious-problem-solving pushes a task past literal compliance by raising ambition, deepening evidence and adversarial validation, and borrowing methods across disciplines.
alexferrari88/skills
- Última actividad de origen registrada
- Catálogo de SkillsMP actualizado
- skills recopiladas
- 10
- Estrellas en GitHub
- 1
- Forks en GitHub
- 0
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Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/alexferrari88/skills.Cargando el README del repositorio…
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Mostrando 10 de 10 skills recopiladas.
Extract full content from webpages, articles, PDFs, and JavaScript-heavy URLs through self-hosted Firecrawl with automatic Crawl4AI fallback. Use when ordinary built-in web fetching fails, is incomplete, or when the user asks for full page extraction. Do not…
Idioma del texto original: inglés
Use this skill to elevate a task, prompt, plan, analysis, or workflow across altitude (outcomes and autonomous loops over one-off artifacts), depth (raw data, expert instruments, adversarial testing, and external verification over surface summaries), and…
Idioma del texto original: inglés
Use this skill to design, audit, or troubleshoot high-efficiency learning for hierarchical skills, especially mathematics, technical subjects, tutoring flows, study plans, curricula, assessments, and adaptive learning systems. Activate when deciding what a…
Idioma del texto original: inglés
Use when a user wants to learn by examining, defending, or stress-testing a concrete argument through guided dialogue.
Idioma del texto original: inglés
Use Antigravity CLI (`agy`) to run agent sessions, non-interactive prompts, model discovery, project/workspace selection, plugin management, CLI install/update checks, changelog inspection, and conversation resume workflows. Trigger when the user asks to use…
Idioma del texto original: inglés
Evidence-backed tutoring runtime for teaching a user a new skill or concept within a stateful learning workspace.
Idioma del texto original: inglés
Automating Android tasks, profiles, scenes, and actions using Tasker. Use this skill when the user wants to design, modify, or debug Tasker configurations, write JavaScriptlets or shell scripts for Tasker, handle Android intents, or use Tasker variables and…
Idioma del texto original: inglés
Reuse Hermes Agent's active runtime provider and credentials inside DSPy programs, including Predict, ChainOfThought, and RLM, without duplicating API keys. Designed to be provider-aware and shareable across Hermes installations.
Idioma del texto original: inglés
Use DSPy.RLM with Hermes runtime auth for long-context tasks that need programmatic decomposition, recursive sub-calls, and dense access across large prompts, corpora, or codebases.
Idioma del texto original: inglés
Hermes-native deep research protocol for multi-source synthesis, verification, parallel subresearch, and decision-grade reporting using web_search, web_extract, browser fallback, delegate_task, and Python-backed scoring.
Idioma del texto original: inglés