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.
49,492 skills from 2,391 repositories · updated 6 hours ago
48,451 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↓ —
- flight-trackermohitagw15856/pm-claude-skillsTrack live aircraft positions with zero API keys — adsb.lol's open ADS-B network primary, OpenSky fallback, via curl: by callsign, registration, or area. Use when asked where is this flight right now, what planes are overhead, track a tail number, or is that flight in the air. Produces the live position with altitude, speed, and heading interpreted, the overhead list for a location, and the rerunnable command — with the positions-not-schedules boundary stated honestly.MarketingNo warnings★ 1.5K↓ —
- 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↓ —
- cto-advisoralirezarezvani/claude-skillsCTO decisions: tech debt, architecture direction, scaling the engineering team, technology evaluation, DORA metrics. Use whenever the user asks whether to rewrite, how to grow the eng team or which tech to bet on.PlanningNo warnings★ 29.3K↓ —
- 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↓ —
- design-systemalirezarezvani/claude-skillsUse when setting up brand settings before the first markdown-to-HTML conversion, or changing them. Runs a 10-question onboarding with onboard.py (colors, fonts, style, TOC) and refuses palettes that fail WCAG AA via brand_palette_validator.py.DesignNo warnings★ 29.3K↓ —
- copywritingalirezarezvani/claude-skillsUse for any headline, tagline, CTA, landing, pricing or about-page copy request, before drafting. Scores candidate headlines with headline_scorer.py and applies a page-section framework, so the first draft is tested rather than guessed.MarketingNo warnings★ 29.3K↓ —
- access-lifecyclealirezarezvani/claude-skillsUse when preparing or running a user access review, checking that leavers lost their access, finding orphaned or ownerless service accounts, answering an auditor's access-control request for SOC 2, ISO 27001, PCI DSS, HIPAA or NIST 800-53, or checking whether a finished review campaign will hold up. Diffs the HR roster against account exports, tests the campaign for coverage, self-review, unremoved revokes and rubber-stamping, and maps every exception to the controls it breaks.TestingNo warnings★ 29.3K↓ —
- qms-audit-expertalirezarezvani/claude-skillsUse for ISO 13485 internal audits: planning the program, running an audit, classifying findings or preparing for an external audit. Optimizes the schedule with audit_schedule_optimizer.py.PlanningNo warnings★ 29.3K↓ —
- ciso-advisoralirezarezvani/claude-skillsUse for security leadership decisions: a security program, budget justification in dollars, SOC 2 vs ISO 27001 vs HIPAA roadmap, or board security reporting. Quantifies risk with risk_quantifier.py and tracks compliance with compliance_tracker.py.SecurityNo warnings★ 29.3K↓ —
- api-test-planmohitagw15856/pm-claude-skillsPlan tests for an API endpoint or service — functional, negative, and contract. Use when asked to test an API, write API test cases, plan REST/GraphQL endpoint testing, or validate an API contract. Produces an API test plan — per-endpoint cases (status codes, schema, auth, validation, errors), boundary/negative cases, contract checks, and non-functional notes — so the API is verified beyond the happy 200.TestingNo warnings★ 1.5K↓ —
- trend-discoveryScrapeCreators/social-media-research-skillsUse when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Searches public trend and discovery endpoints, ranks evidence, and turns trends into practical content angles.OtherNo warnings★ 5.5K↓ —
- commercial-policyalirezarezvani/claude-skillsUse when writing or revising discount rules: discount matrix, approver thresholds, exception flows and the deal framework sales works under. Builds the matrix with discount_matrix_builder.py, routes exceptions with exception_router.py and checks the policy with policy_linter.py.WritingNo warnings★ 29.3K↓ —
- explain-simplymohitagw15856/pm-claude-skillsExplain anything in plain language — a contract clause, a medical term, a tax rule, a tech acronym, a news story — layered from a one-liner to as much depth as you want. Use when asked to explain like I'm 5, explain this simply, break this down in plain English, or what does this even mean. Produces the one-sentence version, a plain-language explanation with a concrete analogy, the 'why it matters to you,' and an honest note on anything genuinely uncertain or oversimplified.ScienceNo warnings★ 1.5K↓ —
- saas-scaffolderalirezarezvani/claude-skillsUse when starting a new SaaS app with auth, database, Stripe billing and a dashboard (Next.js App Router, TypeScript, Tailwind, shadcn/ui, Drizzle). Bootstraps it with project_bootstrapper.py.DataNo warnings★ 29.3K↓ —
- 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
- add-cursornanocoai/nanoclawUse Cursor (local Agent SDK) as a full agent provider — planning, tool orchestration, MCP tools, session resume — alongside or instead of Claude. Cursor-account sign-in or API key, held by the credential gateway. Per-group via `ncl groups config update --provider cursor`. Distinct from using Cursor as a cloud agent (those run on Cursor VMs and are not this provider).PlanningNo warnings★ 31.1K↓ —
- pricing-strategistalirezarezvani/claude-skillsUse when choosing or revisiting pricing: seat, usage, value-based, freemium or hybrid, Van Westendorp willingness-to-pay analysis, or Good/Better/Best tiers. Runs pricing_model_picker.py, wtp_analyzer.py and packaging_designer.py and returns a range, not one number.OtherNo warnings★ 29.3K↓ —
- grill-mealirezarezvani/claude-skillsInterview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".TestingNo warnings★ 29.3K↓ —
- emil-design-engAgentWorkforce/relayThis skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.DesignNo warnings★ 1.1K↓ —
- add-clidashnanocoai/nanoclawAdd clidash — a zero-dependency, read-only web dashboard that derives its tabs and tables at runtime from any CLI that lists resources as JSON. Ships pre-wired for NanoClaw's ncl CLI (agent groups, sessions, channels, users, roles), plus message-activity charts, a log tail, and a read-only file viewer for group skills/CLAUDE.md/profiles.EngineeringNo warnings★ 31.1K↓ —
- mdr-745-specialistalirezarezvani/claude-skillsUse for EU MDR 2017/745 work: device classification under Annex VIII, technical file gaps (Annex II/III), clinical evaluation, PMS and PSUR cadence, notified body prep. Checks the file with mdr_gap_analyzer.py.PlanningNo warnings★ 29.3K↓ —
eccv-experiments
brycewang-stanford/Awesome-Journal-Skills
ScienceUpdated Sep 27, 2026
From the author
Use when designing or auditing the experimental program of an ECCV paper — benchmark selection that survives a September conference, matched-substrate baseline fairness in the foundation-model era, ablations that isolate the claimed mechanism, qualitative failure evidence, and run sequencing toward a March freeze.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eccv-experiments -a claude-code
Installs to .claude/skills/eccv-experiments/ · 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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