judge
免费Reviewing code via multi-engine orchestration (Claude + Codex) on three axes — secure, correct, and lean — shipping only findings worth fixing. Use for PR review or pre-commit. Complements Zen.
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编码规范、框架、重构、代码审查(1.6万 个)
Reviewing code via multi-engine orchestration (Claude + Codex) on three axes — secure, correct, and lean — shipping only findings worth fixing. Use for PR review or pre-commit. Complements Zen.
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Optimizing frontend (re-render, memoization, lazy loading) and backend (N+1, indexing, caching, async) performance, plus continuous auto-tuning loops for GC/threadpool/cache/worker settings.
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Use for every task that plans, writes, edits, debugs, tests, refactors, reviews, or maintains code. Apply to professional repositories, scripts, apps, services, prototypes, beginner work, vibe coding, and bounded code changes inside large systems. Choose the fewest clear lines, files, paths, states, and abstractions that correctly implement the requested behavior. Do not invent fallbacks, compatibility paths, defensive layers, or future scale without evidence. Do not use for ordinary conversation, emotional support, prose, translation, summarization, social-media content, or general research or technical discussion that is not part of planning, changing, or reviewing code. Never weaken real security, integrity, concurrency, compatibility, privacy, accessibility, legal, or regulatory requirements.
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Keep coding work complete, readable, and proportionate to the task. Use when planning, implementing, debugging, testing, reviewing, or maintaining code, including bounded changes in larger repositories. Avoid unnecessary design and verification overhead. Does not apply to non-code conversation or writing.
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Initialize an AgentDB Cognitive Container (.rvf file) in the current project. Sets up storage, embedder config, and the agentdb MCP server. Use when the user is starting a new project that needs vector memory, or asks to "set up agentdb" / "init agentdb".
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SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Features automatic role switching, continuous code review, security scanning, and performance optimization with truth-score verification.
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Execute Cypher queries against AgentDB's graph backend. Use when the user wants to write a custom traversal that the standard tools don't cover, or when explaining graph state.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Comprehensive GitHub code review with AI-powered swarm coordination
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Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
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Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
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Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
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Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
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CLI-first serial port debugging and macro automation with serial-mcp-server for Codex and Claude Code. Use when working with UART or USB-serial devices, listing serial ports, probing STM32/Arduino/ESP32 boards, writing or reading serial data, running JSON serial macros, controlling RTS/DTR, or using serial-mcp-server through MCP tools.
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Improve existing code without changing behavior: scan smells, simplify, dedupe, reuse utilities, and verify after edits. Use for refactor, cleanup, simplify, reduce duplication, extract method, dead code, or code smells. No PR.
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Ship completed work: verify locally, commit related changes, push, create or update the PR, watch CI/reviews, and fix until merge-ready or escalated. Use for "ship it", "create PR", "handoff", or finished code needing delivery.
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Claude Code CLI second opinion for non-Claude Code hosts. Review a diff, challenge a change for failure modes, or consult Claude with read-only repo access and session continuity. Use for "claude review", "claude challenge", "ask claude", or an explicit Claude Code second opinion. (gstack)
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Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack)
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Systematic debugging with root cause investigation. (gstack)
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OpenAI Codex CLI wrapper — three modes. (gstack)
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Synthesise completed KUD charts into a developmental progression matrix and per-competency narrative sections. Use when you need a programme-level view of how knowledge, understanding, and performance develop across bands.
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Set up isolated git worktrees. Use when starting isolated work, or when ce-work/ce-code-review offers a worktree option; detect existing isolation first.
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Inspect, update, replace and remove installed ForgeCat profiles. Use when the user asks what's installed, sees modified files, wants to upgrade or roll back a profile, run two profiles side by side, or configure MCP env vars.
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