Creator released ambitious-problem-solving: guide agents toward high-ambition problem solving with elevated methods, deep validation, and cross-domain transfer.
alexferrari88/skills
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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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
Use when a user wants to learn by examining, defending, or stress-testing a concrete argument through guided dialogue.
Quellsprache: Englisch
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…
Quellsprache: Englisch
Evidence-backed tutoring runtime for teaching a user a new skill or concept within a stateful learning workspace.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Mit einem KI-Assistenten installieren
Diesen Prompt kopieren und in den verwendeten KI-Assistenten einfügen.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/alexferrari88/skills.