autopilot-predict
Use learned patterns and current state to predict the optimal next action
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Use learned patterns and current state to predict the optimal next action
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Ruflo is a multi-agent orchestration platform for AI coding agents (Claude Code, Cursor, Codex, Copilot, Gemini, Amp, +12 more). Use this skill when the user wants to (1) install/init ruflo in a project, (2) run multi-agent swarms with hierarchical coordination, (3) use ruflo's 314+ MCP tools for memory, routing, hooks, sub-agents, or workflows, (4) check ruflo status/version/doctor health, or (5) discover which of ruflo's 30+ plugins fits their task.
Show AGNTCY/SLIM/CASA integration status — whether upstream AGNTCY packages are installed, which transport (local vs SLIM) is active, and whether CASA enforcement is enabled. Use when the user asks "is AGNTCY configured?", "show SLIM/CASA status", or "is AGNTCY/IOC integration active?".
Create a new Architecture Decision Record with sequential numbering and AgentDB registration
Build or rebuild the ADR index + dependency graph by running scripts/import.mjs (handles v3-style and plugin-style ADR formats; one Bash call vs hundreds of MCP round-trips)
7-section repo readiness report from `metaharness genome <path>`. Returns repo_type / agent_topology / risk_score / mcp_surface / test_confidence / publish_readiness. Pure-read; degrades gracefully (ADR-150).
Diagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation
| name | autopilot-predict |
| description | Use learned patterns and current state to predict the optimal next action |
| argument-hint | |
| allowed-tools | mcp__plugin_ruflo-core_ruflo__autopilot_predict mcp__plugin_ruflo-core_ruflo__autopilot_progress mcp__plugin_ruflo-core_ruflo__autopilot_learn mcp__plugin_ruflo-core_ruflo__autopilot_history |
Predict what to work on next using Ruflo autopilot intelligence:
mcp__plugin_ruflo-core_ruflo__autopilot_predict for the recommended next actionmcp__plugin_ruflo-core_ruflo__autopilot_progress for task breakdownmcp__plugin_ruflo-core_ruflo__autopilot_learn to update patternsmcp__plugin_ruflo-core_ruflo__autopilot_learn -- discover success patterns from completed tasksmcp__plugin_ruflo-core_ruflo__autopilot_history({ query: "KEYWORD" }) -- search past completionsWhen running inside a /loop, the predict skill guides each iteration: