Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Skill auto-forjada por skill-forger. Tema: puedes hacer profesional. Estado: experimental. — from NEXORATECHNOLOGYCEO/AUTOMYX-2.5
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding re — from…
Autonomous cold email campaign launcher. Takes one target company domain, scrapes their website, generates an ICP with Claude, pulls matching leads via Prospeo, enriches emails +…
Autonomous multi-round research review loop. Repeatedly reviews using Claude Code via claude-review MCP, implements fixes, and re-reviews until positive assessment or max rounds…
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables.
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables.
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review.
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review.
Autonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds re — from…
Autonomous multi-round research review loop. Repeatedly reviews using Gemini via gemini-review MCP, implements fixes, and re-reviews until positive assessment or max rounds…
Autonomous multi-round research review loop. Repeatedly reviews using a secondary Codex agent, implements fixes, and re-reviews until positive assessment or max rounds re — from…
Skill auto-forjada por skill-forger. Tema: subtarea tarea subtareas. Estado: experimental.
Self-improving browser automation via the auto-research loop. Iteratively runs a browsing task, reads the trace, and improves the navigation skill (strategy.md) until it reliably…
Prepare, validate, and gate AutoDL/HPC research experiments with GitHub deploy-key bootstrap, offline data policy, preflight and smoke gates, FileZilla/SFTP result transfer, and…
Molecular docking with AutoDock Vina (Python API). Receptor/ligand prep (Meeko + RDKit), grid box, docking, pose and binding energy analysis, and batch virtual screening.
Engage in 24x7 auto-work mode. Continuously grind through improvements, fixes, tests, and polish without stopping until you say so.
Lets agents operate Google NotebookLM/Gemini Notebook through a Python API, CLI, skill, MCP server, or REST server to create notebooks, add sources, ask cited questions, generate…
Use ARIS to run Markdown-based agent skills for literature review, idea discovery, cross-model critique, experiment planning, and paper-writing support.
Use NotebookLM through MCP or a local REST API to run cited Q&A, generate Studio artifacts, and manage high-volume research batches.
Use when you have high-resolution tandem mass spectrometry (MS2) data in .ms2 format and need to systematically identify and annotate lipid A molecular structures.
Set up autoMIL in an existing project. Scopes codebase, configures experiment framework, validates setup.
Automated machine learning with hyperparameter optimization using Optuna, Hyperopt, or AutoML libraries.
Automated machine learning with hyperparameter optimization using Optuna, Hyperopt, or AutoML libraries.
AutoML 自动化机器学习技能 | Automated Machine Learning Skill. 基于 PyCaret 进行低代码机器学习建模，支持分类、回归、聚类、异常检测、时间序列预测、自然语言处理和关联规则挖掘等任务。 未来将集成更多 AutoML 库（如 AutoGluon、FLAML 等）。…
Autonomous operation — accept a problem, work it independently using the full verification pipeline, maintain research state, produce verified results.
Plan, implement, run and analyze an ML or benchmarking experiment autonomously, ending with a report the user can read later.
The protocol behind every investigation skill. Use when AI research must proceed without you: search-plan gate, Fact/Inference/Assumption labels, confidence stacking, diffable…
Autonomous deep research agent that reads all files in the active directory, performs exhaustive multi-round literature research using web search and Brightdata scraping tools,…
Run bounded autonomous research iterations with evidence gates, recovery ledgers, and optional cross-agent handoffs; prefers host-owned multi-agent panel with single-path drive…
Offline runtime helper for loop ledgers plus headless drive, host-owned panel phases (--panel on, auto, or off), and the default cross-platform force-loop kit…
Type-based autonomous task queue system. Categorizes tasks by type (research, writing, analysis, maintenance) and lets autonomy work only on value-add tasks while cron handles…
Run the AutoQEC research loop on a given env YAML. Orchestrates the autoqec-ideator / autoqec-coder / autoqec-analyst subagents via the Agent tool, invokes the Runner CLI for…
Use when generating a physics or engineering experiment report from measured data and reference materials — orchestrates Theory, Data Analysis, Plotting, and Report sub-agents to…
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch.
Set up and run an autonomous experiment loop for any optimization target. Gathers what to optimize, then starts the loop immediately.
Generates email sequences for different contexts. Currently supports event follow-up sequences. Produces ready-to-send emails with subject lines, body copy, and timing guidance.
Karpathy AutoResearch Pattern -- autonome Experiment-Loops die overnight 100 Iterationen ohne menschliches Eingreifen durchfuehren.
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets.
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets.
Autonomous UX violation fixer. Scans for hardcoded colors, Navigator.push, raw Material colors, missing Semantics. Fixes ONE file per iteration.
Autonomous orchestrator for green-light / overnight execution. Takes one task and runs the full engineering cycle (research → plan → sprint → audit → report) end-to-end without…
Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes…
Produces structured aviation law summaries with Bluebook citations covering U.S. and international regulatory frameworks, treaties, and case law.
Detect and stop manufactured work after a deliverable appears done. Use when a worker has produced a plan, issue, PR, backlog item, research artifact, or follow-up task and you…
Produces an enforcement-aware Animal Welfare Act compliance audit for USDA/APHIS-regulated facilities. Maps Form 7002 inspection citations to verified 9 C.F.R.
Open a creative mind on the current context and invent a leap the user did not know to ask for — a feature, protocol, CLI, demo, architecture, product move, prose, experiment, or…
Turn Markdown, research notes, reports, or any content into a polished, self-contained single-file HTML document styled with the AwesomeDesignSystem.
Create a topic-specific GitHub awesome-list repository scaffold with a polished README, concise contribution rules, AI-agent instructions, URL verification, license, and reusable…
Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss.
Use when researching Apple frameworks, APIs, or WWDC sessions - provides techniques for retrieving full transcripts, code samples, and documentation using Chrome browser and…
Audit Axiom logs to identify and prioritize errors and warnings, research probable causes, and flag log smells.
Use when building ANY 2D or 3D game with SpriteKit, SceneKit, or RealityKit. Covers scene graphs, ECS, physics, actions, game loops, rendering, SwiftUI integration.