Packs
8 packs@loopyluci
Loopyluci Skills
Loopyluci Skills from LoopyLuci/Skills.
100 skills · pack
@construct-ai-primary
Loopy AI
Loopy AI from Construct-AI-primary/agent-companies-core.
3 skills · pack
curated
Growth Loop Implementation
Identify the right growth loop mechanism, then build the acquisition and expansion motions to drive it.
3 skills · pack
@phuryn
Go To Market
Go-to-market skills for PMs: GTM strategy, growth loops, GTM motions, beachhead segments, and ideal customer profiles.
6 skills · pack
curated
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 · pack
curated
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 · pack
@testdouble
Han Coding
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 · pack
@pwdev-solucoes
Pwdev Copy
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 · pack
Results for “loop”
5 skills
affaan-m loop-design-check
Designs and reviews feedback loops for AI agents to ensure goals are machine-decidable, loops are damped, and human judgment is preserved.
226k
antigravity goal-loop
Drafts structured goal-loop prompts for long-running agent work with verifiable stop conditions, validation commands, and documentation requirements.
42.4k
More results
builderio efficient-frontier
Orchestrate expensive frontier models as reviewers and cheaper subagents for bounded, token-heavy work to optimize cost and quality.
3.4k · bundle
mcollina skill-optimizer
Improves AI skills for activation, clarity, and cross-model reliability through benchmarking, salience tuning, and regression triage.
1.9k · bundle
github agentic-eval
Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.
36.2k