Skill Market

autopilot predict

Use learned patterns and current state to predict the optimal next action

GitHub
githubcommunityclaudemcp
0.0
0 installs73.4K GitHub starsby ruvnet

Skill Introduction

Overview
Use learned patterns and current state to predict the optimal next action

Core value

Turns reusable Other know-how into an installable skill, helping users complete github, community, claude, mcp work faster.

Target users

  • Developers, testers, and maintainers who handle Other tasks in Focus Code.
  • Teams that already trust workflows or content from ruvnet.
  • Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

  • Read the skill content first to confirm required inputs, expected outputs, and dependencies.
  • Try it on a small task before relying on it for critical work.
  • Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
  • For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

  • Tasks related to github, community, claude, mcp that need a reusable execution flow.
  • Converting a community repo, team convention, or personal workflow into day-to-day assistance.
  • Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

  • Results depend on the quality of the original skill content and may need human correction.
  • It does not replace code review, tests, security review, or professional judgment.
  • External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

  • Structured around Other, making it easier to discover and reuse than loose prompt snippets.
  • Marked as GitHub, which helps users judge trust and maintenance expectations.
  • Keeps the original source link available for repository, documentation, or discussion follow-up.
  • Tagged with github, community, claude, mcp, so it can be filtered by concrete task intent.

Install and use

Install
Copy Install Command
focus install autopilot-predict-becfcc
View source

Detail Preview

SKILL.md

Primary filemarkdown2 KB

name: autopilot-predict description: Use learned patterns and current state to predict the optimal next action argument-hint: "" allowed-tools: mcp__claude-flow__autopilot_predict mcp__claude-flow__autopilot_progress mcp__claude-flow__autopilot_learn mcp__claude-flow__autopilot_history

Predict what to work on next using Ruflo autopilot intelligence:

  1. Call mcp__claude-flow__autopilot_predict for the recommended next action
  2. If confidence > 0.7, execute the prediction directly
  3. If confidence < 0.7, check mcp__claude-flow__autopilot_progress for task breakdown
  4. Pick the highest-priority incomplete task
  5. After completing work, call mcp__claude-flow__autopilot_learn to update patterns

Learning Pipeline

  • mcp__claude-flow__autopilot_learn -- discover success patterns from completed tasks
  • mcp__claude-flow__autopilot_history({ query: "KEYWORD" }) -- search past completions
  • Patterns are stored in AgentDB for cross-session recall

Integration with /loop

When running inside a /loop, the predict skill guides each iteration:

  • High confidence prediction -> execute immediately
  • Low confidence -> fall back to task list priority order
  • No tasks remaining -> disable autopilot and exit loop

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