10 actions in 8 pieces of software · ranked by words, meaning and measured trust · 641 ms
skillruvnet/ruflorecord
- autopilot-predict
Use learned patterns and current state to predict the optimal next action
- autopilot-predict
- 2autopilotfound in code, not yet checkedno passport yet
MCP serverrajendrieg/autopilot
- risk_predictor
Predicts which risks are most likely to materialise based on current trends and data patterns. Returns probability scores, impact ratings, and early intervention recommendations.
- trend_intelligence
Assesses what IS happening in your data right now and predicts what WILL happen. Returns trend direction, velocity, inflection points, anomalies, and future trajectory with confidence bands.
- forecast_trends
Forecasts future values and trajectories based on historical data patterns. Returns short and long term projections with confidence intervals.
- risk_predictor
- 3smart-project-autopilotfound in code, not yet checkedno passport yet
MCP serverthekishandev/smart-project-autopilot
- analyzeSprintHealth
Analyzes current sprint progress and predicts completion likelihood. Returns health score, risks, and actionable recommendations.
- analyzeSprintHealth
skillyeachan-heo/oh-my-claudecoderecord
- autopilot
Full autonomous execution from idea to working code
- autopilot
- autopilot
Builds an app, site, bot, or feature end-to-end from a dictated idea — requirements, briefing, spec, tickets, subagents, review, acceptance — with a live dashboard, for users who expect a finished result without reviewing specs or code. Starts only on /autopilot; a bare /autopilot resumes an interru
- autopilot
MCP servergit+https://github.com/sinameraji/autopilotnpmrecord7,180 downloads/month
- present_plan_options
The list of plan options to present to the user.
- present_plan_options
skillruvnet/ruflorecord
- autopilot-loop
Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake
- autopilot-loop
- 8autopilot-mcpfound in code, not yet checkedno passport yet
MCP servernirholas/autopilot-mcp
- generate_proposals
Run the agent's mind: read its high-salience memories and pending reflections and synthesize real,
- generate_proposals
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.