Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,415 skills from 2,407 repositories · updated 3 hours ago
49,415 skills
- hf-cloud-python-env-setuphuggingface/skillsSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.OfficialEngineeringNo warnings★ 11.3K↓ —
- oma-skill-creatorfirst-fluke/oh-my-agentCreate or update OMA skills in the SSL-lite human-readable format. Use when adding a new `.agents/skills/{skill-name}/SKILL.md`, converting an existing skill to the standardized Scheduling / Structural Flow / Logical Operations / References structure, or validating whether a skill has enough routing, execution, resource, and safety detail.OtherNo warnings★ 1.4K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains 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.OfficialMediaNo warnings★ 11.3K↓ —
- huggingface-community-evalshuggingface/skillsRun 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.OfficialOtherNo warnings★ 11.3K↓ —
- oma-academic-writingNewfirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.WritingNo warnings★ 1.4K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish 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.OfficialScienceNo warnings★ 11.3K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OfficialProductivityNo warnings★ 11.3K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanningNo warnings★ 27.9K↓ —Also in 1 other repo
- threat-detectionalirezarezvani/claude-skillsUse when hunting threats, sweeping IOCs or looking for anomalies in logs and telemetry. Ranks ATT&CK-mapped signals and z-score anomalies with threat_signal_analyzer.py.OtherNo warnings★ 29.3K↓ —
- oma-coordinationNewfirst-fluke/oh-my-agentCoordinate assigned specialist tasks and handoffs manually. Use when supervising a multi-agent project step by step.PlanningNo warnings★ 1.4K↓ —
- oma-architectureNewfirst-fluke/oh-my-agentEvaluate system boundaries and architectural tradeoffs. Use for architecture decisions, design reviews, and ADRs.PlanningNo warnings★ 1.4K↓ —
- oma-scholarfirst-fluke/oh-my-agentScholarly research companion using Knows sidecar spec (.knows.yaml). Generates, validates, reviews, queries, and compares structured research-paper sidecars, and fetches them from knows.academy. Use for academic literature search, survey synthesis, paper authoring assistance, and peer review with token-efficient claim/evidence/relation access.ScienceNo warnings★ 1.4K↓ —
- oma-docsNewfirst-fluke/oh-my-agentCheck documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.EngineeringNo warnings★ 1.4K↓ —
- oma-academic-writingfirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.WritingNo warnings★ 1.4K↓ —
- oma-architecturefirst-fluke/oh-my-agentEvaluate system boundaries and architectural tradeoffs. Use for architecture decisions, design reviews, and ADRs.PlanningNo warnings★ 1.4K↓ —
- oma-explanationfirst-fluke/oh-my-agentCreate an offline HTML explanation of a code change (diff, PR, branch) or of a topic, system, or question. Use when a visual walkthrough document is requested.EngineeringNo warnings★ 1.4K↓ —
- oma-securityUpdatedfirst-fluke/oh-my-agentScan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.SecurityNo warnings★ 1.4K↓ —Also in 3 other repos
- ap-janitorSpielewoy/autoprompt-skillReport the compatibility redirect to `C0`; this retired role cannot perform new work.OtherNo warnings★ 1.2K↓ —
- ap-plannerSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-roadmap-author`; this retired role cannot perform new work.PlanningNo warnings★ 1.2K↓ —
- analytics-trackingkostja94/marketing-skillsCompatibility pointer for GA4 event, key-event and User-ID tracking; maintained in Open Analytics.DataNo warnings★ 1.1K↓ —
- oma-dbUpdatedfirst-fluke/oh-my-agentDesign schemas and migrations, tune queries, or plan vector retrieval and database operations. Application API implementation uses oma-backend.DataNo warnings★ 1.4K↓ —Also in 2 other repos
- searchtaishi-i/awesome-japanese-nlp-resourcesSearch all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.OtherNo warnings★ 1K↓ —
- triggershashgraph-online/awesome-codex-pluginsCreate and manage triggers that watch for something (a job that finishes, a service that goes down, a failing CI run, a new release, a price crossing a threshold) and hand a task to Codex when it happens. Use when the user wants to be told, or wants something done, "when X happens", and when handling a message that starts with [self-starter].ProductivityNo warnings★ 1.5K↓ —
- design-tokenshashgraph-online/awesome-codex-pluginsUse when the user asks for design tokens, DTCG tokens, theme systems, color/typography/spacing/radius/elevation/motion tokens, translating tokens, exporting tokens, making a Compose color scheme from a palette, auditing tokens, or sharing a single token source across web and native. Generates, audits, and translates W3C DTCG tokens to Tailwind v4 @theme, CSS variables, Compose Material3 ColorScheme/Typography, SwiftUI Color/Font extensions, and WinUI ResourceDictionary while preserving semantic naming and platform constraints. SKIP when no token/theme-system work is involved.DesignNo warnings★ 1.5K↓ —
jp-tax-return
mohitagw15856/pm-claude-skills
FinanceUpdated 11 hours ago
From the author
Use when asked 確定申告のやり方, do I need to file a tax return in Japan, how do I claim medical expense deduction, ふるさと納税の確定申告, 副業の確定申告, how to file with e-Tax, or 日本报税怎么弄. Produces whether the person must or should file, the income and deductions to declare, a step-by-step filing plan with e-Tax or on paper, the documents to gather, and the deadlines and payment options to confirm with the National Tax Agency.
Install
npx skills add mohitagw15856/pm-claude-skills --skill jp-tax-return -a claude-code
Installs to .claude/skills/jp-tax-return/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
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- SKILL.md