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By ANcpLua
Run multi-agent competitive code reviews that detect structural and implementation issues, verify factual claims via web search, and enforce completion integrity checks before claiming work done. Includes struggle detection that escalates complex problems to deep-thinking agents for architectural analysis and debugging.
npx claudepluginhub ancplua/ancplua-claude-plugins --plugin metacognitive-guardDispatch two competing reviewers (arch-reviewer and impl-reviewer) before deep analysis. Competition produces more thorough results. Use before creating code, modifying architecture, or making technical decisions.
Structured 4-phase analysis with transparent reasoning and adversarial self-review. Use for complex decisions, architecture choices, debugging dead-ends, or any problem where jumping straight to implementation would be premature.
Force verification before answering questions involving versions, dates, status, or "current" state. Prevents hallucinations at the REASONING level by checking assertions.yaml and WebSearch before forming beliefs.
Monitors Claude's responses for struggle signals and suggests escalation to deep-thinking agents when complexity exceeds comfortable reasoning capacity.
Force verification before claiming success or completion. Prevents false "it works" claims. Triggers when about to say "done", "complete", "works", "fixed", or "the implementation is ready".
Architecture-focused competitive reviewer. Finds structural problems like dependency violations, SSOT violations, layer boundary issues, coupling problems, and SOLID principle violations. Competes with impl-reviewer - whoever finds more valid issues gets promoted.
Asynchronous reasoning amplifier for complex problems requiring deep analysis. Use when facing multi-step logical challenges, architectural trade-offs, strategic decisions, or when you need a second brain to validate reasoning chains. Runs in background to multiply thinking capacity. Examples: <example> Context: Complex architectural decision with competing constraints user: "Should we use event sourcing or CRUD for order management? High reads, complex rules." assistant: "This has significant trade-offs across multiple dimensions. Let me spawn a deep-think-partner to analyze implications while I gather more context." <commentary>Strategic technical decisions with long-term implications warrant deep collaborative analysis.</commentary> </example> <example> Context: Multi-step data transformation with edge cases user: "Transform nested JSON with circular refs to flat relational schema, preserving integrity." assistant: "Multiple competing constraints here. Spawning deep-think-partner in background to explore the solution space." <commentary>Complex data problems with interdependencies benefit from parallel deep reasoning.</commentary> </example> <example> Context: Non-deterministic concurrency bug user: "Race condition only under load. Optimistic locking but seeing phantom writes." assistant: "Race conditions require methodical state transition analysis. Let me engage deep-think-partner to reason through timing scenarios." <commentary>Concurrency debugging needs systematic exploration of state spaces.</commentary> </example>
Implementation-focused competitive reviewer. Finds code-level issues like banned API usage, version mismatches, wrong assumptions, and fact-checks claims using WebSearch. Competes with arch-reviewer - whoever finds more valid issues gets promoted.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Metacognitive advisor that monitors Claude Code and provides feedback
LLM-powered guardrails for Claude Code. Turn every AI mistake into a rule AI can't repeat.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
Multi-agent code-elegance workflow: 4 scouts, 2 judges, 1 planner, 1 verifier, 1 gated implementer. Persistent state manager with stage gates and implementation signal.
Guided feature development with specialized agents for codebase exploration, architecture design, code review, and quality assurance.
Multi-agent workflow orchestration: 9 commands (fix, turbo-fix, fix-pipeline, tournament, mega-swarm, deep-think, batch-implement, red-blue-review, baryon-mode) + 2 skills (eight-gates, hades).
Five-agent council using Teams API: Opus captain orchestrates, researcher + synthesizer cross-pollinate via SendMessage, clarity asks live follow-ups, Haiku janitor flags bloat. Reactive collaboration instead of fire-and-forget subagents.
Dynamic God Team discovery for workflow and code-review skills.
Claude Code plugin marketplace. 13 plugins for parallel agent orchestration, quality gates, and automated enforcement in Claude Code sessions.
Spawns up to 12 parallel subagents for audits, fixes, and reviews. Each phase is gated — work only advances when the gate passes. No manual babysitting.
| Plugin | What it does in plain language |
|---|---|
| exodia | Summons up to 12 AI workers that tackle different parts of your code simultaneously. One finds problems, another fixes them, another reviews the fix — all at the same time |
| metacognitive-guard | Watches the AI while it works. If it's about to cut corners, guess instead of verify, or say "done" when it isn't — this blocks it before the mistake happens |
| feature-dev | A guided process for building new things: understand what exists, design the plan, build it, review it. No skipping steps |
| hookify | Custom tripwires you set up. "Never do X" or "Always check Y before Z." The AI physically cannot proceed if it violates your rules |
| otelwiki | Built-in reference for OpenTelemetry monitoring standards so the AI writes correct telemetry code instead of guessing |
| dotnet-architecture-lint | Enforces .NET project structure rules automatically — catches version mismatches and structural violations before they ship |
| council | Five-agent council for complex tasks. Opus captain decomposes and dispatches, three Sonnet specialists research/synthesize/check, Haiku janitor flags bloat |
| design-studio | Design intelligence helpers for visual direction, UX patterns, and design-system generation |
| elegance-pipeline | Multi-agent pipeline that scores code elegance and optionally refactors the weakest files through gated stages |
| code-simplifier | Simplifies implementations while preserving behavior — measures elegance as problem-complexity / solution-complexity |
| qyl-instrumentation | Observability orchestration for OpenTelemetry instrumentation across the qyl platform |
| qyl-continuation | Smart continuation heuristic that reduces unnecessary model calls while preserving quality checks |
Every step is a gate. Work only moves forward if the gate says PROCEED. If it says HALT — the work stops, gets diagnosed, and gets fixed before anything else continues. No hoping. No skipping. No "it probably works."
Add the marketplace, then install plugins individually:
# Add the marketplace
/plugin marketplace add ANcpLua/ancplua-claude-plugins
# Install plugins you want
/plugin install exodia@ancplua-claude-plugins
/plugin install metacognitive-guard@ancplua-claude-plugins
/plugin install hookify@ancplua-claude-plugins
13 plugins, 28 commands, 6 skills, 25 agents.
Tri-AI review system: Claude, Copilot, and CodeRabbit review PRs independently.
Codex review lives in .github/workflows/codex-code-review.yml.
OPENAI_API_KEY repository secret to enable the workflowread-only sandbox with drop-sudo