alfredolopez80

Full orchestration workflow with swarm mode: evaluate -> clarify -> classify -> persist -> plan mode -> spawn teammates -> execute -> validate -> retrospective. Use when: (1) implementing features, (2) complex refactoring, (3) multi-file changes, (4) tasks requiring coordination. Triggers: /orchestrator, /orch, 'orchestrate', 'full workflow', 'implement feature'.

Comprehensive research skill using Zai MCP web search and native Claude Code tools

Smart Forking - Find and fork from relevant historical sessions using parallel memory search across vault, handoffs, and ledgers

Apply adversarial opposite-analysis to plans, specs, architecture, code changes, and claims. Use when the user asks for adversarial review, opposing analysis, contrarian review, red-team reasoning, or Z.ai and MiniMax cross-checks through the Ralph MCP router.

Test case mutation and variation generator for adversarial testing

Patterns for using Context7 MCP for library documentation (v2.25)

Codebase defense analysis system for security profiling

Google Gemini CLI orchestration (v0.22.0+) for AI-assisted development. Capabilities: second opinion/cross-validation, real-time Google Search grounding, codebase architecture analysis with codebase_investigator, Gemini 3 model access, extensions support (Conductor, Endor Labs), parallel code generation, code review from different perspective. INTEGRATED WITH TASK PRIMITIVE - creates traceable tasks in claude-task-viewer. Actions: query, search, analyze, generate, review with Gemini. Keywords: Gemini CLI, Gemini 3, google_web_search, codebase_investigator, second opinion, cross-validation, web research, current information, parallel AI, code review, architecture analysis, gemini prompt, AI comparison, real-time search, alternative perspective, extensions, Conductor. Use when: needing second AI opinion, searching current web information, analyzing codebase architecture, generating code in parallel, getting alternative code review, researching current events/docs, using Gemini extensions.

Improve, audit, simplify, rewrite, or migrate prompts, tool descriptions, agent instructions, and prompt stacks for GPT-5.6 Sol or the GPT-5.6 family. Use for outcome-first prompt design, autonomy boundaries, tool routing, PTC, grounding, verbosity, reasoning effort, and prompt evals.

Apply a deep, design-minded engineering workflow for complex work that needs careful planning, iteration, and simplification.

Use when preparing or running a Claude CLI agentic engineering review through claude -p for repository audits, architecture analysis, system design, security review, large refactors, specs, RFCs, or evidence-grounded long-form engineering analysis.

Use when preparing or running a ZCode GLM-5.2 agentic builder workflow through zcode --prompt for fast implementation, iterative code generation, focused fixes, and validation on an existing repository.

Apply adversarial opposite-analysis to plans, specs, architecture, code changes, and claims. Use when the user asks for adversarial review, opposing analysis, contrarian review, red-team reasoning, or Z.ai and MiniMax cross-checks through the Ralph MCP router.

Review and adjudicate Bugbot, Cursor, Seer, and similar automated PR feedback with local evidence before accepting, fixing, or dismissing findings.

Find real bugs in local code, branch diffs, or named surfaces with evidence-first triage, regression-test guidance, and Codex-native verification.

Inspect and safely maintain local Codex App/CLI state with report-first, backup-first, archive-only workflows for sessions, logs, worktrees, config project entries, and handoff reminders.

Use when creating, configuring, or extending AI agents with MiniMax M2.1 model - provides complete framework patterns, tool integration, memory systems, and MCP connectivity for building production-ready agents