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.
35,001 skills from 1,572 repositories · updated 10 minutes ago
34,999 skills
- usfiscaldataK-Dense-AI/scientific-agent-skillsQueries the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.FinanceNo warnings★ 54.4K↓ —
- understand-dashboardEgonex-AI/Understand-AnythingLaunch the interactive web dashboard to visualize a codebase's knowledge graphOtherNo warnings★ 88K↓ —
- parallel-webK-Dense-AI/scientific-agent-skillsUses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking.ScienceNo warnings★ 54.4K↓ —
- test-valuett-a1i/archifyImprove test value and feedback cost when auditing slow, flaky, redundant or brittle tests; choosing tests during implementation; or reviewing test changes before a commit or PR. Keep ordinary implementation and pre-commit use scoped to the affected behavior, not a repository-wide audit.TestingNo warnings★ 88.5K↓ —
- aws-iamsickn33/agentic-awesome-skillsManage IAM users, roles, and policies. Implement least-privilege access and security best practices. Use when configuring AWS identity and access management.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- polars-bioK-Dense-AI/scientific-agent-skillsPerforms genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration from bioframe.DataNo warnings★ 54.4K↓ —
- hunt-ldapsickn33/agentic-awesome-skillsHunt LDAP Injection and XPath InjectionOtherNo warnings★ 48.4K↓ —
- research-grantsK-Dense-AI/scientific-agent-skillsSupports research proposal preparation and review for NSF, NIH, DOE, DARPA, and Taiwan NSTC, including opportunity-specific requirements, aims, review criteria, budgets, broader impacts, forms, and resubmissions. Use for investigator-authored grant development, compliance matrices, and proposal critiques.ScienceNo warnings★ 54.4K↓ —
- ot-icssickn33/agentic-awesome-skillsAuthorized OT/ICS security assessment: Purdue-model zoning review, PLC/SCADA exposure, industrial protocol discovery, and passive-first evaluation discipline.SecurityNo warnings★ 48.4K↓ —Also in 1 other repo
- dhdna-profilerK-Dense-AI/scientific-agent-skillsApplies the DHDNA framework as an exploratory rubric for reasoning and writing patterns in supplied text. Used for explicit requests for DHDNA, cognitive-style reflection, a thinking-pattern profile, or comparisons of textual reasoning. Scores describe evidence in the sample, not validated psychological traits or personal identity.WritingNo warnings★ 54.4K↓ —
- nextflowK-Dense-AI/scientific-agent-skillsBuilds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs.TestingNo warnings★ 54.4K↓ —Also in 1 other repo
- glassersickn33/agentic-awesome-skillsSearch, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration.EngineeringNo warnings★ 48.4K↓ —
- offerssickn33/agentic-awesome-skillsWhen the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure.DesignNo warnings★ 48.4K↓ —
- aws-rdssickn33/agentic-awesome-skillsProvision and manage RDS databases. Configure backups, replication, and security. Use when deploying managed relational databases on AWS.DevOpsNo warnings★ 48.4K↓ —Also in 1 other repo
- hunt-idorsickn33/agentic-awesome-skillsHunting skill for idor vulnerabilities. Built from 26 public bug bounty reports. Use when hunting idor on any target.SecurityNo warnings★ 48.4K↓ —
- huggingface-gradiohuggingface/skillsBuild Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.OfficialWritingNo warnings★ 11.2K↓ —
- huggingface-trackiohuggingface/skillsTrack 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.OfficialEngineeringNo warnings★ 11.2K↓ —
- gws-meetgoogleworkspace/cliManage Google Meet conferences.OtherNo warnings★ 31.8K↓ —
- huggingface-besthuggingface/skillsUse when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. Triggers on: "best model for X", "what model should I use for", "top models for [task]", "which model runs on my laptop/machine/device", "recommend a model for", "what LLM should I use for", "compare models for", "what's state of the art for", or any question about choosing an AI model for a specific use case. Always use this skill when the user wants model recommendations or comparisons, even if they don't explicitly mention HuggingFace or benchmarks.OfficialPlanningNo warnings★ 11.2K↓ —
- hf-memhuggingface/skillsHugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face HubOfficialEngineeringNo warnings★ 11.2K↓ —Also in 1 other repo
- huggingface-spaceshuggingface/skillsBuild, 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.OfficialDevOpsNo warnings★ 11.2K↓ —
- huggingface-papershuggingface/skillsLook 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.OfficialScienceNo warnings★ 11.2K↓ —
- huggingface-lora-space-builderhuggingface/skillsBuild 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.OfficialDesignNo warnings★ 11.2K↓ —
- huggingface-zerogpuhuggingface/skillsAI 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.OfficialWritingNo warnings★ 11.2K↓ —
devops-engineer
alirezarezvani/claude-skills
DevOpsUpdated 2 days ago
From the author
380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.
The frontmatter could not be read (no frontmatter); the folder name is shown instead.
Install
npx skills add alirezarezvani/claude-skills --skill devops-engineer -a claude-code
Installs to .claude/skills/devops-engineer/ · 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
Safety checks on SKILL.md
No warnings.
Why 94
Security100
Provenance93
Maintenance100
Licence100
Adoption69
Files (1)
- SKILL.md