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.
49,409 skills from 2,375 repositories · updated 45 minutes ago
48,362 skills
- dns-lookupmohitagw15856/pm-claude-skillsQuery DNS records and domain registration data with zero API keys — DNS-over-HTTPS via dns.google and domain registration via RDAP, through plain curl. Use when asked what does this domain resolve to, check the MX or TXT records, who registered this domain, when does it expire, or has DNS propagated. Produces the records decoded (SPF/DKIM/DMARC read, not just dumped), the registration facts from RDAP, and the rerunnable commands.EngineeringNo warnings★ 1.5K↓ —
- gentle-ai-chained-prGentleman-Programming/gentle-shellTrigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.EngineeringNo warnings★ 1.5K↓ —
- programmatic-seoalirezarezvani/claude-skillsUse when building many SEO pages from a template and data (location, integration, comparison or directory pages), before generating them. Designs URL patterns with url_pattern_generator.py and guards against thin-content penalties.MarketingNo warnings★ 29.2K↓ —
- pinme-uniwebpayglitternetwork/pinmeUse when generating, modifying, or reviewing PinMe Worker (Cloudflare Worker TypeScript) code that accepts payments through UniwebPay — payment links, products/prices, checkout sessions, payment status reads, refunds, subscriptions, or handling UniwebPay webhooks with @uniwebpay/sdk in a PinMe project.DevOpsNo warnings★ 3.8K↓ —
- scenario-war-roomalirezarezvani/claude-skillsUse for compound what-if questions ('what if X and Y both happen?') with major downside across functions. Models cascading scenarios with scenario_modeler.py.OtherNo warnings★ 29.2K↓ —
- ipsn-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IPSN-lineage evaluations, covering real testbeds and deployments, ground-truth instrumentation, energy/latency/footprint measurement on real hardware, on-device/TinyML profiling, estimation-theoretic baselines and bounds, and matching evidence to the shape of each sensing claim across the IP and SPOTS tracks.DevOpsNo warnings★ 1.4K↓ —
- motion-formatsNewhashgraph-online/awesome-codex-pluginsSeven complete motion formats, each with a beat structure in seconds, a shot list and presets: a found-footage analog-horror trailer of a website, an authentic VHS bouncing-logo screensaver, a pixel-art runner on a CRT, a wordmark with a wave running through it, a one-shot music video that follows a DAW timeline, a launch trailer for an import feature, and a kinetic lyric video. Values come from VHS signal models (ntsc-rs, Finn McKenty), pixel-art conventions (Pedro Medeiros, Slynyrd), School of Motion, Netflix timing rules, screenlife rules and launch-film designers on X. Use when someone asks for one of these formats, a VHS or analog-horror look, a pixel art animation, a lyric video or a beat-synced launch video. NOT for generating the song or footage (varg-ai, varg-music-video).MediaNo warnings★ 1.5K↓ —
- human-gatealirezarezvani/claude-skillsUse before shipping anything that needs human sign-off (a plan, spec, report, page, migration or irreversible action). Builds a review page with review_page_builder.py and runs human_gate.py, which refuses to close with an open blocker or no named reviewer.PlanningNo warnings★ 29.2K↓ —
- planning-with-filesUpdatedOthmanAdi/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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- cognitoitsmostafa/aws-agent-skillsAWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, implementing OAuth flows, managing user attributes, or integrating with social identity providers.DevOpsNo warnings★ 1.2K↓ —
- performancedaveebbelaar/bamaMake a macOS app fast by measuring hangs, stutter, CPU, memory, and energy, then moving work off the main thread and onto the GPU. Use when the app freezes, a shortcut feels slow, dragging stutters, the fan spins, memory grows, or the user asks to optimize or profile.ProductivityNo warnings★ 1.5K↓ —
- supabase-jsfcakyon/claude-codex-settingsThis skill should be used when user asks to "use supabase-js", "query Supabase database", "supabase auth", "supabase storage", "supabase realtime", "supabase edge functions", or works with the @supabase/supabase-js JavaScript/TypeScript SDK.DataNo warnings★ 1.2K↓ —
- web-perffcakyon/claude-codex-settingsAudit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.OtherNo warnings★ 1.2K↓ —
- cav-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted CAV (Computer Aided Verification) paper for its Springer LNCS open-access camera-ready, covering de-anonymization for the previously double-blind categories, the LNCS llncs template and Springer metadata (ORCID, author order, running heads), the copyright/open-access forms, integrating reviewer-required changes without scope creep, permanentizing artifact links, and the AEC badge handoff.ScienceNo warnings★ 1.4K↓ —
- run-qafcakyon/claude-codex-settingsThis skill should be used when user asks to "run QA", "verify real playback", "test provider connections", or "check website, extension or Android flows" with tracked journeys.TestingNo warnings★ 1.2K↓ —
- iso42001-specialistalirezarezvani/claude-skillsUse for ISO/IEC 42001 AI management system work: gap analysis against Clauses 4-10, the AI risk register and Annex A controls, or the internal audit plan. Runs aims_gap_analyzer.py, ai_risk_register_builder.py and aims_audit_scheduler.py.PlanningNo warnings★ 29.2K↓ —
- clinical-researchalirezarezvani/claude-skillsUse when designing a prospective clinical study: choosing primary and secondary endpoints, estimating sample size and power, or scoring feasibility before submission. Runs endpoint_selector.py, sample_size_estimator.py and phase_gate_scorer.py; outputs are estimates for a biostatistician to confirm.ScienceNo warnings★ 29.2K↓ —
- sales-engineeralirezarezvani/claude-skillsUse for pre-sales work: RFP coverage gaps, competitive feature matrices or planning and scoring a proof of concept. Runs rfp_response_analyzer.py, competitive_matrix_builder.py and poc_planner.py.PlanningNo warnings★ 29.2K↓ —
- atc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) systems paper — matching evidence to the claim with real testbeds, fair baselines, end-to-end plus microbenchmark results, tail-latency and variance reporting, workload realism, and honest cost accounting.ScienceNo warnings★ 1.4K↓ —
productivity-score
hoangsonww/Claude-Code-Agent-Monitor
EngineeringUpdated 21 hours ago
From the author
Calculate a productivity score using actual Agent Monitor metrics — session completion rates, cache efficiency (cache_read vs input), compaction pressure (baseline tokens), turn velocity (turn_count / total_turn_duration_ms), tool success ratio (PreToolUse vs PostToolUse), and the workflow intelligence API's complexity and effectiveness scores.
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill productivity-score -a claude-code
Installs to .claude/skills/productivity-score/ · 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
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Provenance77
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Files (2)
- SKILL.md
- agents/openai.yaml