PromptMinder Skills

可审查、可复用的 Agent Skills

同步自公开来源。

共 9576 个 Skills第 473 / 479 页

opensource-guide-coach

内容可用

Use when a user wants guidance on starting, contributing to, growing, governing, funding, securing, or sustaining an open source project, or asks about contributor onboarding, community health, maintainer burnout, code of conduct, metrics, legal basics, or open source project adoption.

xixu-me/skillsMIT
12 安装

secure-linux-web-hosting

仅索引

暂无描述

xixu-me/skillsMIT
12 安装

readme-i18n

内容可用

Use when the user wants to translate a repository README, make a repo multilingual, localize docs, add a language switcher, internationalize the README, or update localized README variants in a GitHub-style repository.

xixu-me/skillsMIT
12 安装

tzst

内容可用

Use when the user needs to create, extract, flatten, list, test, install, script, or troubleshoot `tzst` CLI workflows for `.tzst` or `.tar.zst` archives, including compression levels, streaming mode, extraction filters, conflict resolution, JSON output, or standalone binary setup, even if they describe the archive task without naming `tzst`.

xixu-me/skillsMIT
12 安装

xdrop

仅索引

暂无描述

xixu-me/skillsMIT
12 安装

ai-image-generation

仅索引

暂无描述

runcomfy-com/skillsMIT
12 安装

xget

仅索引

暂无描述

xixu-me/skillsMIT
12 安装

sleek-design-mobile-apps

仅索引

暂无描述

sleekdotdesign/agent-skillsMIT
12 安装

gpt-image-2

仅索引

暂无描述

runcomfy-com/skillsMIT
12 安装

nano-banana-edit

仅索引

暂无描述

doany-ai/skillsMIT
12 安装

use-my-browser

仅索引

暂无描述

xixu-me/skillsMIT
12 安装

face-swap

仅索引

暂无描述

runcomfy-com/skillsMIT
12 安装

seedance-v2

仅索引

暂无描述

doany-ai/skillsMIT
12 安装

image-outpainting

仅索引

暂无描述

doany-ai/skillsMIT
12 安装

ai-avatar-video

仅索引

暂无描述

runcomfy-com/skillsMIT
12 安装

ai-video-generation

仅索引

暂无描述

runcomfy-com/skillsMIT
12 安装

video-extend

仅索引

暂无描述

doany-ai/skillsMIT
12 安装

face-swap

内容可用

Swap a face / character into video or images on RunComfy via the `runcomfy` CLI. Routes across community Wan 2-2 Animate (audio-driven character animation + identity swap), GPT Image 2 Edit (single-shot precise face swap on still images via reference composition), Nano Banana Edit (batch identity-preserving swap), Flux Kontext (single-ref high-fidelity local face edit), and Kling 2-6 Motion Control Pro (transfer motion from one performance onto a target character). Picks the right model for the user's actual intent — single still vs video, full character vs face only, dialog scene vs silent motion. Triggers on "face swap", "swap face", "deepfake", "face replacement", "character swap", "head swap", "put X's face on Y", "make this video star X", "replace the actor in this video", "swap the character in the photo", "deepfake video", "ReActor alternative", or any explicit ask to substitute one identity for another.

doany-ai/skillsMIT
12 安装

flux-2-klein

内容可用

Generate images with Flux 2 Klein (Black Forest Labs' distilled fast variant of Flux 2) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux 2 Klein's strengths (sub-second latency, multi-reference brand styling, declarative subject-first prompts), the step-count strategy (4–8 for fast iteration, ~25 for polish), the 9B vs 4B variant trade-off, and when to route to Flux 2 Pro / Seedream 5 / GPT Image 2 instead. Calls `runcomfy run blackforestlabs/flux-2-klein/9b/text-to-image` (or `/4b/`) through the local RunComfy CLI. Triggers on "flux 2 klein", "flux-2-klein", "flux klein", "BFL flux 2", or any explicit ask to generate with this model.

doany-ai/skillsMIT
12 安装

controlnet-pose

内容可用

Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on "controlnet", "control net", "pose control", "openpose", "DWPose", "transfer pose", "motion control", "pose driven", "character pose", "depth control", "canny edge", "use this pose", or any explicit ask to condition generation on a pose / skeleton / motion / depth / canny reference.

doany-ai/skillsMIT
12 安装