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.
48,622 skills from 2,355 repositories · updated 16 hours ago
47,548 skills
- blog-taxonomyAgriciDaniel/claude-blogSuggest tags and categories for a blog post from its content, audit a site's tag and category health, and, only after the user approves a shown plan, sync tags and categories to WordPress, Shopify, Ghost, Strapi, or Sanity. suggest and audit are read-only; sync is dry-run by default and never deletes, merges, or edits post content. Use when the user says "tag suggestions", "taxonomy audit", "sync tags", "WordPress tags", "Shopify tags". Not for keyword research (blog-brief) or schema markup (blog-schema).WritingNo warnings★ 2.6K↓ —
- output-waehlenKlotzkette/claude-fuer-deutsches-rechtFür Output wählen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: DFG-Förderantrag.OtherNo warnings★ 1.8K↓ —
- bulk-rnaseqK-Dense-AI/scientific-agent-skillsPrepares bulk RNA-seq FASTQ, Salmon, STAR or featureCounts output for gene-level differential expression. Covers nf-core/rnaseq and standalone quantification, biological replication, strandedness, reference provenance, validated count assembly and a PyDESeq2 handoff. Use for FASTQ-to-counts analysis, nf-core/rnaseq configuration, STAR/Salmon quantification, or building a counts matrix for DESeq2. For single-cell data use scanpy; for statistical fitting alone use pydeseq2.ScienceNo warnings★ 55.6K↓ —
- agent-platform-eval-flywheelgoogle/skillsMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.OfficialDevOpsNo warnings★ 21.8K↓ —
- x-twitter-growthalirezarezvani/claude-skillsUse for growing on X/Twitter: tweets, threads, profile audit, competitors or posting plan. Audits the profile with profile_auditor.py, drafts with tweet_composer.py and plans posts with content_planner.py.MarketingNo warnings★ 29.1K↓ —
- add-cameramicrosoft/power-platform-skillsInternal implementation skill invoked by /add-native for camera, image picker, barcode scanner, QR scanner, and camera/gallery Dataverse artifact workflows.MediaNo warnings★ 1.1K↓ —
- sop-writermohitagw15856/pm-claude-skillsWrite a Standard Operating Procedure (SOP) for any operational task. Use when asked to write an SOP, standard operating procedure, work instruction, or operating manual. Produces a formal SOP with purpose, scope, procedure steps, quality checks, and version control.WritingNo warnings★ 1.5K↓ —
- 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★ 29.1K↓ —
- secrets-vault-manageralirezarezvani/claude-skillsUse when setting up HashiCorp Vault, AWS Secrets Manager, Azure Key Vault or GCP Secret Manager, rotating secrets or auditing secret access. Generates config with vault_config_generator.py, plans rotation with rotation_planner.py and analyzes audit logs.DevOpsNo warnings★ 29.1K↓ —
- site-architecturealirezarezvani/claude-skillsUse for URL structure, navigation, internal linking, hub pages or orphan pages, or when SEO problems are structural. Analyzes the sitemap and link graph with sitemap_analyzer.py before proposing a structure.PlanningNo warnings★ 29.1K↓ —
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingNo warnings★ 1.3K↓ —
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ScienceNo warnings★ 1.3K↓ —
- churn-preventionalirezarezvani/claude-skillsUse when designing a cancel flow, save offers, exit surveys or dunning emails, or cutting failed-payment churn. Sizes the revenue at stake with churn_impact_calculator.py first. Health scores and expansion: customer-success-manager.OtherNo warnings★ 29.1K↓ —
- 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; agent instructions read selected project planning context when invoked. 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. This adapter registers no lifecycle or Stop hook, never requests continuation, 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★ 27.8K↓ —
- academic-cvmohitagw15856/pm-claude-skillsBuild or tailor an academic CV for faculty, postdoc, research or fellowship applications: publications, grants, teaching, supervision and service in the order the field expects, with consistent citations. Use when asked to write my academic CV, update my CV for a lectureship, tenure-track or postdoc application, format my publications list, or adapt my academic CV for an industry research role. Produces the full academic CV, a field-appropriate section order, a clean publications list in one citation style, and a two-page summary version when asked.ScienceNo warnings★ 1.5K↓ —
- slack-agent-flownanocoai/nanoclawLet an existing Slack agent create new agents that arrive as their own Slack bots — provisioned app, operator DM, and a shared three-way room, hot-started without a host restart.OtherNo warnings★ 31.1K↓ —
- momentum-mapmohitagw15856/pm-claude-skillsBreak a stuck, stalled week with three tiny wins sequenced for momentum — because motion creates motivation, not the other way around. Use when asked I'm in a rut, help me get unstuck this week, I've stalled on everything, or I need momentum. Produces three small, genuinely-achievable wins ordered so each fuels the next, a deliberately easy first one to prove motion is possible, the dopamine logic behind the sequence, and a reframe that you don't need motivation to start — starting creates it — turning a paralyzed week into a moving one.OtherNo warnings★ 1.5K↓ —
- 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★ 11.2K↓ —
- 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★ 11.2K↓ —
- graduate-cvmohitagw15856/pm-claude-skillsWrite a first CV for a student or recent graduate with little work experience, using coursework, projects, part-time jobs, societies and volunteering as real evidence. Use when asked to write my first CV, graduate CV, internship resume, I have no experience what do I put, or my CV for campus recruitment or a graduate scheme. Produces a one-page CV with education first, evidence-based project and activity bullets, a skills section tied to proof, and a list of quick additions that would strengthen it before deadlines.WritingNo warnings★ 1.5K↓ —
- 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★ 11.2K↓ —
- 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★ 11.2K↓ —
- web-performance-optimizationfcakyon/claude-codex-settingsAudit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.OtherNo warnings★ 1.2K↓ —
- 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★ 11.2K↓ —
regex-builder
mohitagw15856/pm-claude-skills
TestingUpdated 23 hours ago
From the author
Build a regular expression from a plain-English description, or explain an existing one. Use when asked to write a regex, match/validate/extract a pattern, or understand what a regex does. Produces the regex, a token-by-token breakdown, passing and failing test cases, and notes on flavor/edge cases.
Install
npx skills add mohitagw15856/pm-claude-skills --skill regex-builder -a claude-code
Installs to .claude/skills/regex-builder/ · 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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Files (1)
- SKILL.md