Packs

8 packs

Loopyluci Skills

Loopyluci Skills from LoopyLuci/Skills.

100 skills · pack

@construct-ai-primary

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

3 skills · pack

Growth Loop Implementation

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

3 skills · pack

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

6 skills · pack

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

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

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

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”

18 skills

Identify and design growth loops (flywheels) for sustainable traction, evaluating five proven mechanisms: viral, usage, collaboration, user-generated, and referral.

Improves user onboarding and activation by defining the aha moment, designing effective onboarding flows, and building engagement loops to boost retention.

llama.cpp local GGUF inference + HF Hub model discovery.

Design habit-forming product loops using the Hook Model (Trigger, Action, Variable Reward, Investment) to analyze and improve user engagement, retention, and re-engagement strategies.

PIV workflow orchestrator - Plan, Implement, Validate loop for systematic multi-phase software development. Use when building features phase-by-phase with PRPs, automated validation loops, or multi-agent orchestration. Supports PRD creation, PRP generation, codebase analysis, and iterative execution with validation.

orchestra-research

ml-training-recipes

Provides battle-tested PyTorch training recipes for LLMs, vision, diffusion, and biomedical domains, covering training loops, optimizer selection, LR scheduling, mixed precision, and debugging.

10.4k · bundle

More results

Loop feature-interviews over a brainstorm idea set and consolidate survivors into the roadmap

build-blueprint

Designs an edit blueprint and uncertainty register for video projects, following a narrative loop and schema constraints.

revenue-architect

Designs revenue models, sets value-based price points, and creates referral loops to turn users into paying customers.

microinteractions

Design the small details—triggers, rules, feedback, loops, and modes—that separate good products from great ones, based on Dan Saffer's framework.

Design MVPs, validated learning experiments, and pivot-or-persevere decisions using the Build-Measure-Learn loop and innovation accounting.

brycewang-stanford

research-pipeline

Full research pipeline: Workflow 1 (idea discovery) → implementation → Workflow 2 (auto review loop). Goes from a broad research direction all the way to a submission-ready paper. Use when user says "全流程", "full pipeline", "从找idea到投稿", "end-to-end research", or wants the complete autonomous research lifecycle.

Audits game user experience across HUD clarity, menu navigation, tutorial effectiveness, control responsiveness, camera systems, feedback loops, loading screens, and settings completeness. Detects game engine (Unity UGUI/UI Toolkit, Unreal UMG, Godot Control, web-based), maps all UI screens and input contexts.

ml-training-recipes

Battle-tested PyTorch training recipes for all domains — LLMs, vision, diffusion, medical imaging, protein/drug discovery, spatial omics, genomics. Covers training loops, optimizer selection (AdamW, Muon), LR scheduling, mixed precision, debugging, and systematic experimentation. Use when training or fine-tuning neural networks, debugging loss spikes or OOM, choosing architectures, or optimizing GPU throughput.

Routing-first visual approval gate for AI agent plans, markdown specs, and diffs. Use when a human needs to review a concrete plan before execution, inspect a targeted diff in a browser, mark up a spec/PRD/architecture note, or set up the review loop on Claude Code, Gemini CLI, Codex CLI, or OpenCode. Route planning/spec creation to `task-planning` or `ralph`, broad PR-policy review to `code-review`, rendered-UI critique to `agentation`, and fresh-session browser verification to `browser-harness`.

Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.

Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.

Multi-agent autonomous startup system for Claude Code. Triggers on "Loki Mode". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations, marketing, HR, and customer success. Takes PRD to fully deployed, revenue-generating product with zero human intervention. Features Task tool for subagent dispatch, parallel code review with 3 specialized reviewers, severity-based issue triage, distributed task queue with dead letter handling, automatic deployment to cloud providers, A/B testing, customer feedback loops, incident response, circuit breakers, and self-healing. Handles rate limits via distributed state checkpoints and auto-resume with exponential backoff. Requires --dangerously-skip-permissions flag.