Plugins

8 plugins

Loopyluci Skills

Loopyluci Skills from LoopyLuci/Skills.

100 skills · plugin

@construct-ai-primary

Loopy AI from Construct-AI-primary/agent-companies-core.

3 skills · plugin

Growth Loop Implementation

Identify the right growth loop mechanism, then build the acquisition and expansion motions to drive it.

3 skills · plugin

Go-to-market skills for PMs: GTM strategy, growth loops, GTM motions, beachhead segments, and ideal customer profiles.

6 skills · plugin

Build Agent with LangGraph

Build production-grade stateful AI agents using LangGraph, covering graph construction, state management, persistence, and human-in-the-loop patterns.

9 skills · plugin

Build Agent UI in React/Next.js

Add a full agent interface to a React/Next.js app with streaming, human-in-the-loop approvals, and tool call UI.

3 skills · plugin

Code-writing and execution skills for the Han suite. Home of the tdd skill, which drives a feature or behavior through a BDD-framed red-green-refactor loop with an enforced observed-failure gate. Depends on han-core and han-communication; bundled by the han meta-plugin.

11 skills · plugin

@pwdev-solucoes

Framework de copy genérico e treinável v1.1 — um arquivo de contexto define marca, ICP e voz, e 20 skills cobrem o ciclo completo: pesquisa VOC, brand voice, criação (landing, social, ganchos, reaproveitamento), revisão em 7 sweeps com anti-slop, e camada de análise que fecha o loop; 5 subagentes reais

20 skills · plugin

Results for “loop”

7 skills

denissergeevitch

repo-task-proof-loop

Provides a repeatable, auditable workflow for large coding tasks by initializing repo-local task artifacts, installing subagent templates, and running a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.

exp-simd-vectorization

Optimizes hot-path scalar loops in .NET 8+ with cross-platform Vector128/Vector256/Vector512 SIMD intrinsics, or replaces manual math loops with single TensorPrimitives API calls.

Runs a disciplined debugging loop for hard bugs and performance regressions, covering reproduction, hypothesis testing, instrumentation, fixing, and regression testing.

More results

systematic-debugging

Diagnose bugs by establishing a tight feedback loop, tracing root cause, and verifying fixes with regression tests before making changes.

Provides deep expertise in Node.js internals: V8 engine, libuv event loop, native addon development, build systems, and performance debugging.

Runs a disciplined diagnosis loop for hard bugs and performance regressions, from reproduction through hypothesis testing, instrumentation, fixing, and regression testing.

Reviews and repairs risky or unclear code with minimal validated changes, running a fixed-point loop until the diff is clean across two consecutive review cycles.