autopilot-predict
Use learned patterns and current state to predict the optimal next action
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Use learned patterns and current state to predict the optimal next action
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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: