Browse Skills — Page 141

huashu-douyin-script

alchaincyf/huashu-skills

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huashu-image-upload

alchaincyf/huashu-skills

文章配图一键生成并上传图床，自动插入Markdown链接。当用户提到"配图"、"插图"、"上传图片"、"文章配图"时使用。

huashu-info-search

alchaincyf/huashu-skills

多渠道搜索新产品新技术，交叉验证后存入知识库。当用户提到"最新信息"、"新产品"、"搜索资料"、"查资料"、"了解XX"时使用。

huashu-material-search

alchaincyf/huashu-skills

搜索个人素材库1800+条真实经历和观点，为内容增加人味。当用户提到"个人经历"、"真实案例"、"素材"、"人味"时使用。

huashu-md-to-pdf

alchaincyf/huashu-skills

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huashu-prompt-save

alchaincyf/huashu-skills

自动识别Prompt类型并分类保存（技术/内容/教学/产品/通用）。当用户提到"保存prompt"、"记录prompt"、"整理prompt"时使用。

huashu-proofreading

alchaincyf/huashu-skills

三遍审校降低AI检测率，让文章更有人味。当用户提到"AI味太重"、"像AI写的"、"降低AI检测率"、"审校"、"自然一些"时使用。

huashu-research

alchaincyf/huashu-skills

结构化网络调研流程，确保调研成果增量保存到文件，不因会话截断丢失。当用户说"调研"、"搜索资料"、"帮我查一下"、"了解一下"、"最新信息"时使用此技能。

huashu-script-polish

alchaincyf/huashu-skills

视频脚本口语化审校，去书面腔让脚本适合说出来。当用户提到"口语化"、"太书面了"、"像说话一样"、"脚本审校"时使用。

huashu-slides

alchaincyf/huashu-skills

从内容到成品PPTX的端到端演示文稿制作，含AI插画生成和18种设计风格。当用户提到"做PPT"、"做幻灯片"、"演示文稿"、"Keynote"、"slides"时使用。

huashu-speech-coach

alchaincyf/huashu-skills

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huashu-topic-gen

alchaincyf/huashu-skills

快速生成3-4个选题方向，含标题、大纲和优劣分析。当用户提到"选题"、"写什么"、"文章方向"、"题目建议"时使用。

huashu-video-check

alchaincyf/huashu-skills

基于MrBeast策略检查视频标题、封面和开头钩子。当用户提到"视频标题"、"封面图"、"点击率"、"CTR"、"观看时长"时使用。

huashu-video-outline

alchaincyf/huashu-skills

快速生成2-3个视频大纲方案，含标题、封面建议和结构设计。当用户提到"视频大纲"、"视频结构"、"脚本大纲"、"视频选题"时使用。

huashu-wechat-image

alchaincyf/huashu-skills

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huashu-xhs-image

alchaincyf/huashu-skills

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huawei-pentesting

wgpsec/AboutSecurity

华为云渗透测试方法论。当目标使用华为云服务、发现 obs.*.myhuaweicloud.com 资产、获取华为云 AK/SK、在 ECS 实例内可访问 169.254.169.254 OpenStack 风格元数据、或需要对华为云 IAM/ECS/OBS/RDS/CCE/FunctionGraph 等服务进行安全评估时使用。覆盖 IAM 提权（OpenStack Keystone）、ECS 接管、OBS 对象存储利用、RDS 数据库攻击、CCE 容器集群、FunctionGraph 函数计算、ELB 负载均衡、LTS 日志、KMS 密钥管理。华为云使用 OpenStack CLI + obsutil + REST API 三种接口

hub-audit

Kastalien-Research/thoughtbox

Run an Agent-Native Architecture Audit using Thoughtbox Hub for multi-agent coordination. Spawns 3 auditor agents and 1 synthesizer that collaborate through structured channels, cross-reference findings, and build consensus on scores.

hub-collab

Kastalien-Research/thoughtbox

Orchestrate a multi-agent collaboration demo on the Thoughtbox Hub. Spawns MANAGER, ARCHITECT, and DEBUGGER agents that coordinate through shared workspaces, problems, proposals, and channels.

hub-init

alirezarezvani/claude-skills

Create a new AgentHub collaboration session with task, agent count, and evaluation criteria. Use when the user runs /hub:hub-init or asks to start a multi-agent competition on a task.

hub-status

alirezarezvani/claude-skills

Show DAG state, agent progress, and branch status for an AgentHub session. Use when the user runs /hub:hub-status or asks how the AgentHub agents are doing.

hubspot

openai/role-specific-plugins

Use only when a focused Sales workflow has selected a connected HubSpot CRM, or the user explicitly asks for HubSpot guidance, reads, drafts, notes, or reviewed record changes. Do not use when another CRM is authoritative.

hubspot-api

anthropics/claude-tag-plugins

Read, create, update, search, and associate HubSpot CRM records — contacts, companies, deals, tickets, and custom objects. Use this whenever the user wants to look up a contact, create a deal, update a company, search the CRM, link two records, or asks "what's in HubSpot" — even if they don't say "API". Also use it for any URL under app.hubspot.com or a mention of a HubSpot object/record ID. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.

hubspot-automation

benjaminasterA/antigravity-awesome-skills

Automate HubSpot CRM operations (contacts, companies, deals, tickets, properties) via Rube MCP using Composio integration.

hubspot-automation-v2

diegosouzapw/awesome-omni-skills

HubSpot CRM Automation via Rube MCP workflow skill. Use this skill when the user needs Automate HubSpot CRM operations (contacts, companies, deals, tickets, properties) via Rube MCP using Composio integration and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hubspot-automation-v3

diegosouzapw/awesome-omni-skills

HubSpot CRM Automation via Rube MCP workflow skill. Use this skill when the user needs Automate HubSpot CRM operations (contacts, companies, deals, tickets, properties) via Rube MCP using Composio integration and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hubspot-integration

benjaminasterA/antigravity-awesome-skills

Expert patterns for HubSpot CRM integration including OAuth authentication, CRM objects, associations, batch operations, webhooks, and custom objects. Covers Node.js and Python SDKs. Use when: hubs...

hubspot-integration-v2

diegosouzapw/awesome-omni-skills

HubSpot Integration workflow skill. Use this skill when the user needs Expert patterns for HubSpot CRM integration including OAuth and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hubspot-integration-v3

diegosouzapw/awesome-omni-skills

HubSpot Integration workflow skill. Use this skill when the user needs Expert patterns for HubSpot CRM integration including OAuth and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hubspot-integration-v4

diegosouzapw/awesome-omni-skills

HubSpot Integration workflow skill. Use this skill when the user needs Expert patterns for HubSpot CRM integration including OAuth and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hubspot-webhooks

hookdeck/webhook-skills

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Hugging Face Trending

aaronjmars/aeon

Curated trending Hugging Face models, datasets, and spaces — filtered, clustered, and labeled with a "why notable" line per pick

hugging-face

vm0-ai/vm0-skills

Hugging Face API for ML models. Use when user mentions "Hugging Face",

hugging-face-cli

benjaminasterA/antigravity-awesome-skills

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run comput...

hugging-face-cli-v2

diegosouzapw/awesome-omni-skills

hugging-face-cli workflow skill. Use this skill when the user needs Use the Hugging Face Hub CLI (hf) to download, upload, and manage models, datasets, and Spaces and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-community-evals

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-community-evals-v2

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-dataset-viewer

diegosouzapw/awesome-omni-skills

Hugging Face Dataset Viewer workflow skill. Use this skill when the user needs Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-dataset-viewer-v2

diegosouzapw/awesome-omni-skills

Hugging Face Dataset Viewer workflow skill. Use this skill when the user needs Query Hugging Face datasets through the Dataset Viewer API for splits, rows, search, filters, and parquet links and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-datasets

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-datasets-v2

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-evaluation

huggingface/community-evals

Add evaluation results to Hugging Face model repositories using the .eval_results/ format. Uses HF CLI for PR management and manual YAML creation.

hugging-face-evaluation

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-evaluation-v2

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-gradio

diegosouzapw/awesome-omni-skills

Gradio workflow skill. Use this skill when the user needs Build or edit Gradio apps, layouts, components, and chat interfaces in Python and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-gradio-v2

diegosouzapw/awesome-omni-skills

Gradio workflow skill. Use this skill when the user needs Build or edit Gradio apps, layouts, components, and chat interfaces in Python and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-jobs

benjaminasterA/antigravity-awesome-skills

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tok...

hugging-face-jobs-v2

diegosouzapw/awesome-omni-skills

Running Workloads on Hugging Face Jobs workflow skill. Use this skill when the user needs Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-paper-publisher

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-paper-publisher-v2

diegosouzapw/awesome-omni-skills

Overview workflow skill. Use this skill when the user needs Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-papers

diegosouzapw/awesome-omni-skills

Hugging Face Paper Pages workflow skill. Use this skill when the user needs Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-papers-v2

diegosouzapw/awesome-omni-skills

Hugging Face Paper Pages workflow skill. Use this skill when the user needs Read and analyze Hugging Face paper pages or arXiv papers with markdown and papers API metadata and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-tool-builder

diegosouzapw/awesome-omni-skills

Hugging Face API Tool Builder workflow skill. Use this skill when the user needs Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the hf command line tool and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-tool-builder-v2

diegosouzapw/awesome-omni-skills

Hugging Face API Tool Builder workflow skill. Use this skill when the user needs Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the hf command line tool and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-trackio

diegosouzapw/awesome-omni-skills

Trackio - Experiment Tracking for ML Training workflow skill. Use this skill when the user needs Track ML experiments with Trackio using Python logging, alerts, and CLI metric retrieval and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-trackio-v2

diegosouzapw/awesome-omni-skills

Trackio - Experiment Tracking for ML Training workflow skill. Use this skill when the user needs Track ML experiments with Trackio using Python logging, alerts, and CLI metric retrieval and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-vision-trainer

diegosouzapw/awesome-omni-skills

Vision Model Training on Hugging Face Jobs workflow skill. Use this skill when the user needs Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-face-vision-trainer-v2

diegosouzapw/awesome-omni-skills

Vision Model Training on Hugging Face Jobs workflow skill. Use this skill when the user needs Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

hugging-science

K-Dense-AI/scientific-agent-skills

Use when the user is doing AI/ML work in a scientific domain — biology, chemistry, physics, astronomy, climate, genomics, materials science, medicine, ecology, energy, conservation, engineering, mathematics, scientific reasoning, drug discovery, protein design, weather modeling, theorem proving, single-cell, PDE solving, or anything similar. Hugging Science (huggingscience.co) is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces; the `hugging-science` org on Hugging Face hosts community datasets, models, and demo Spaces. This skill helps you discover the right resource AND actually use it — loading datasets via `datasets`, running models via `transformers` or the HF Inference API, calling Spaces like BoltzGen via `gradio_client`, and citing blog posts for methodology. Trigger this skill whenever a user mentions a scientific ML task, asks for "a dataset/model for X" where X is a scientific topic, wants to fine-tune on scientific data, asks about protein / molecule / genome / climate / materials / astronomy / pathology / weather ML, or needs AI tools for research — even if they never say "Hugging Science" explicitly. The catalog is purpose-built for LLM agents (it ships an `llms-full.txt`); prefer it over generic web search for these tasks.

huggingface

TerminalSkills/skills

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huggingface-accelerate

NousResearch/hermes-agent

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.

huggingface-best

huggingface/skills

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huggingface-community-evals

huggingface/skills

Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.

huggingface-datasets

huggingface/skills

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.

huggingface-gradio

huggingface/skills

Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.

huggingface-hub

NousResearch/hermes-agent

HuggingFace hf CLI: search/download/upload models, datasets.

huggingface-llm-trainer

huggingface/skills

Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, model selection/leaderboards and model persistence. Use for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

huggingface-local-models

huggingface/skills

Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.

huggingface-lora-space-builder

huggingface/skills

Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — including LoRAs for Qwen-Image, Qwen-Image-Edit, LTX-Video, Wan, FLUX, SDXL, or other diffusion base models. Also triggers when someone describes a LoRA they trained or hosts on the Hub and wants to share it. Covers picking the right base pipeline and `diffusers` inference recipe, designing a UI tailored to the LoRA's task and inputs (Union/multi-task control, edit, video, image, etc.), respecting model-card recommendations (trigger words, steps, guidance, LoRA scale, example inputs), and shipping to ZeroGPU hardware as a private Space by default.

huggingface-paper-publisher

huggingface/skills

Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

huggingface-papers

huggingface/skills

Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.

huggingface-spaces

huggingface/skills

Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. Use whenever the user asks to create or host an app on Hugging Face, port code onto ZeroGPU, fix a Space that won't build or run, or otherwise work with `hf spaces …`, `@spaces.GPU`, Space README frontmatter, or the `spaces` Python package.

huggingface-tgi

mkurman/zorai

HuggingFace Text Generation Inference (TGI). High-performance LLM serving with continuous batching, tensor parallelism, watermarking, and OpenAI-compatible API. Native HF model hub integration.

huggingface-tokenizers

NousResearch/hermes-agent

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

huggingface-tool-builder

huggingface/skills

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

huggingface-trackio

huggingface/skills

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

huggingface-vision-trainer

huggingface/skills

Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.

huggingface-webhooks

hookdeck/webhook-skills

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huggingface-zerogpu

huggingface/skills

AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.

hugo-template-dev

influxdata/docs-v2

Hugo template development skill for InfluxData docs-v2. Enforces proper build and runtime testing to catch template errors that build-only validation misses.

human-computer-interaction

Tibsfox/gsd-skill-creator

Human-computer interaction (HCI) as a discipline -- usability heuristics, interaction paradigms (CLI, GUI, touch, voice, gesture, spatial), accessibility, cognitive load theory, Fitts's law, user research methods, and the evolution of interfaces from punchcards to spatial computing. Use when evaluating interface usability, choosing interaction paradigms, applying accessibility standards, or understanding why some interfaces work and others fail. Broader than design-thinking -- this skill covers the science of how humans and computers communicate.

human-gate

alirezarezvani/claude-skills

Runs the human-verification lane of an agent loop, and proves review happened before work is called done. Builds a single-file HTML review page, collects batched feedback as a structured artifact instead of chat prose, and runs a gate that refuses to close while a BLOCKER is open, the reviewer is unnamed, or nobody has reviewed at all. Use when a plan, spec, RFC, report, landing page, migration, or any irreversible action needs human sign-off before shipping, or on requests such as 'get sign-off', 'have someone check this', 'hold until reviewed', 'needs approval first'. NOT for making AI text sound human (use content-humanizer or behuman). NOT for reviewing code diffs (use md-review or code-reviewer).

human-geography

Tibsfox/gsd-skill-creator

Study of human activities, spatial patterns, and social processes on Earth's surface. Covers population and migration, cultural diffusion and landscapes, urbanization and city systems, economic geography and development, political geography and borders, and social/identity geographies. Use when reasoning about why people live where they do, how cultures spread, how cities grow, how economies are spatially organized, or how power operates through space.

human-impact-assessment

Tibsfox/gsd-skill-creator

Assessing anthropogenic environmental impacts — pollution pathways, habitat destruction and fragmentation, land-use change, invasive species, overharvest, and extinction debt. Covers environmental impact assessment (EIA) methodology, exposure-effect relationships, population viability analysis, IPAT and ecological footprint frameworks, and strategic environmental assessment. Use when quantifying or forecasting human impacts on ecosystems, designing monitoring programs, or evaluating a proposed intervention against a baseline.

human-protein-atlas-skill

openai/plugins

Submit compact Human Protein Atlas requests for gene JSON, search downloads, and page-level tissue or cell-line lookups. Use when a user wants concise Human Protein Atlas summaries; save raw JSON or HTML only on request.

human-tone

Varnan-Tech/opendirectory

Rewrites AI-generated marketing copy to sound naturally human. It removes common AI cliches, adjusts the pacing, and ensures the tone is authentic and engaging.

human-writing

pr-pm/prpm

Write content that sounds natural, conversational, and authentically human - avoiding AI-generated patterns, corporate speak, and generic phrasing

humaniseur-fr

samber/cc-skills

Remove AI-writing patterns from French text and inject voice, personality, and soul. Use when editing, reviewing, rewriting, or cleaning up French content that reads like ChatGPT/Claude output. Humanize, humanise, déslopifier. Detects and fixes 27 patterns: AI vocabulary overuse (crucial, essentiel, notamment, par ailleurs, dans le paysage), anglicisms from English-first models (faire du sens, adresser un problème), copula avoidance, formulaic openings (À l'ère de, Dans le paysage actuel), superficial participle analyses (-ant), em dash overuse, redundant adjective doublets, rule of three, sycophantic tone, typographic tells (curly quotes instead of guillemets). Trigger on: humaniser, déslopifier, rendre plus humain, nettoyer le texte IA, enlever le slop, réécrire pour que ça sonne humain, make it sound human.

humanitix-automation

ComposioHQ/awesome-claude-skills

"Automate Humanitix tasks via Rube MCP (Composio). Always search tools first for current schemas."

humanize

PolyArch/humanize

Iterative development with AI review. Provides RLCR (Ralph-Loop with Codex Review) for implementation planning and code review loops.

humanize-beagle

existential-birds/beagle

Rewrite AI-generated developer text to sound human — fix inflated language, filler, tautological docs, and robotic tone. Use after review-ai-writing identifies issues.

humanize-chinese

diegosouzapw/awesome-omni-skills

Humanize Chinese workflow skill. Use this skill when the user needs Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Use when the user asks to \u53bbAI\u5473, \u964dAIGC, \u53bb\u9664AI\u75d5\u8ff9, \u8bba\u6587\u964d\u91cd, \u77e5\u7f51\u68c0\u6d4b, \u7ef4\u666e\u68c0\u6d4b, humanize chinese, detect AI text, or make Chinese text sound more natural and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

humanize-chinese-v2

diegosouzapw/awesome-omni-skills

Humanize Chinese workflow skill. Use this skill when the user needs Detect and rewrite AI-like Chinese text with a practical workflow for scoring, humanization, academic AIGC reduction, and style conversion. Use when the user asks to \u53bbAI\u5473, \u964dAIGC, \u53bb\u9664AI\u75d5\u8ff9, \u8bba\u6587\u964d\u91cd, \u77e5\u7f51\u68c0\u6d4b, \u7ef4\u666e\u68c0\u6d4b, humanize chinese, detect AI text, or make Chinese text sound more natural and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

humanize-gen-plan

PolyArch/humanize

Generate a structured implementation plan from a draft document. Validates input, checks relevance, analyzes for issues, and generates a complete plan.md with acceptance criteria.

humanize-korean

modu-ai/cowork-plugins

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humanize-refine-plan

PolyArch/humanize

Refine an annotated implementation plan into a comment-free plan and a QA ledger while preserving the gen-plan schema.

humanize-rlcr

PolyArch/humanize

Start RLCR (Ralph-Loop with Codex Review) on Codex using the native Stop hook.

humanizer

trailofbits/skills-curated

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humanizer

NousResearch/hermes-agent

Humanize text: strip AI-isms and add real voice.

humanizer-ru

ilyautov/humanizer-ru

Скилл для очеловечивания русскоязычного текста. Убирает признаки AI-генерации, делает текст живым. Используй ВСЕГДА, когда пользователь просит: очеловечить текст, убрать следы нейросети, сделать текст живым/естественным, переписать как человек, humanize на русском, убрать канцелярит, убрать водянистость, сделать текст менее формальным. Также используй если пользователь вставляет русскоязычный текст и говорит что-то вроде 'перепиши', 'сделай лучше', 'звучит как робот', 'слишком искусственно'. Работает ТОЛЬКО с русским языком. Для английского используй оригинальный humanizer. НЕ используй для: перевод, написание с нуля, грамматика, код.