Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: leaf

Direktori bahasa Inggris

Terminal Markdown previewer โ€” GUI-like experience.

1.5K
Stars
74/100
Kepercayaan
Kategori: document-processingAudit

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting โ€” e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

34K
Stars
77/100
Kepercayaan
Kategori: researchAudit

Install, manage, and share skills across every major coding agent โ€” Claude Code, Cursor, Copilot, and more.

253
Stars
69/100
Kepercayaan
Kategori: coding-agentsAudit

Agent-first screenshots โ€” an agent drives the real app via CDP and produces clean, defect-free product screenshots (newsletters, landing pages, social, decks, PR). Dual-channel verification (DOM + pixels + vision) in a capture loop. Use for any "take/redo screenshots of the app" task.

4.5K
Stars
67/100
Kepercayaan
Kategori: coding-agentsAudit

Plugin de skills e agentes para Claude Code workflows de engenharia reais, do PRD ao PR

19
Stars
63/100
Kepercayaan
Kategori: utilityAudit

:four_leaf_clover: Another Chinese chatbot implemented in PyTorch, which is the sub-module of intelligent work order processing robot. ๐Ÿ‘ฉโ€๐Ÿ”ง

917
Stars
65/100
Kepercayaan
Kategori: support-automationAudit

:maple_leaf: Make waffle (square pie) charts in R

794
Stars
60/100
Kepercayaan
Kategori: data-analysisAudit

:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

168
Stars
62/100
Kepercayaan
Kategori: robotics-iotAudit

Use when a workflow step drafts or revises a spec artifact โ€” a goal-and-requirements, an architecture, or a module SPEC โ€” or when a workflow skill names it at such a step. The shared quality bar for specs โ€” not a workflow, nothing to execute.

38
Stars
67/100
Kepercayaan
Kategori: researchAudit

๐Ÿƒ Leaf-UI: A react component library built using styled-components

102
Stars
60/100
Kepercayaan
Kategori: design-creativeAudit

Radical simplification, red-teaming, and Occam's Razor devil's advocate for software architecture, PRDs, agent workflows, and technical designs. Challenges feature creep, speculative abstractions, and bloated specifications by proposing minimum viable primitives that deliver 90% of value with 10% of moving parts. Activate when reviewing complex technical proposals, pruning bloated architectures, red-teaming design docs, eliminating speculative features, or seeking the simplest possible path to production.

16
Stars
61/100
Kepercayaan
Kategori: researchAudit