ruflo-autopilot
claudeAutonomous /loop-driven task completion with learning, prediction, and progress tracking
2 skills · 2 commands · 1 agent
Add a predictive feature with Aito where it fits, and say so where it does not: a fit check, a schema from your table, a threshold checked on held-out rows, and the aito MCP server.
Plugin aito from marketplace aito in AitoDotAI/aito-python-tools. Commands read from the repo's manifest — yesterday.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
add-predictive-featureAdd a predictive feature with Aito (a predictive database) to an application, or decide that Aito is the wrong tool. Use when the user wants to predict, classify, autofill, route, match or recommend from their own records (which GL account, which category, who approves, which product), asks how to a
aitoruns: uvx --from aitoai[mcp] aito-mcp
Autonomous /loop-driven task completion with learning, prediction, and progress tracking
2 skills · 2 commands · 1 agent
Build high-quality datasets and computer vision models. Visualize datasets, analyze models, find duplicates, run inference, evaluate predictions, and develop custom plugins.
18 skills · 2 commands · 1 MCP server
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and external agent monitoring.
19 skills
Research orchestrator (hybrid router + fallback). Deterministic SIGNALS classification routes to 6 specialists (pulse/litreview/grants/dossier/patent/syllabus) at >=2 signals, else runs own 8-step plan-decompose-search-synthesize-cite fallback. Routing transparency mandatory. Path-B from megaprompt 13.
1 skill · 1 command · 1 agent
Strategic foresight intelligence using IFTF methodology. Two prediction modes: Soft Predict Future (Claude-native skill, instant, claude.ai + Claude Code) and Hard Predict Future (deterministic 12-step pipeline, Python-computed — Claude Code only). Both output four independent futures (Probable/Plausible/Possible/Preferable) with per-stakeholder conditional analysis. Try: Will India become the global AI leader? Will OpenAI or Anthropic win?
2 skills
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