Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
47.307 skill-uri din 2.272 de depozite · actualizat acum 4 ore
46.198 de skill-uri
- provider-upgradepulumi/agent-skillsUpgrade any Pulumi provider to a newer version and reconcile the resulting diff. Use when users want to upgrade or update a provider (including editing package.json, requirements.txt, pyproject.toml, go.mod, or Pulumi.yaml to bump a provider SDK), check for breaking changes before or during an upgrade, fix resources that broke after a provider upgrade, or resolve unexpected replacements, creates, or deletes in a post-upgrade preview, including pulumi-gcp v10 errors such as a missing gcp.notebooks or gcp.iap.Brand type or a required secretDataWoVersion. Applies to all providers (aws, azure-native, gcp, kubernetes, aws-native, cloudflare, datadog, etc.) — not just Tier 1. Do NOT use for querying which stacks use what package versions; use skill `package-usage` for cross-stack audits. Do NOT use for general infrastructure tasks.OficialDevOpsFără avertismente★ 78↓ —
- package-usagepulumi/agent-skillsTrack which stacks across a Pulumi organization use a specific package and at what versions. Use for cross-stack audits, identifying outdated or unmaintained package versions across many stacks, finding affected stacks before publishing breaking changes to a component package, or planning coordinated upgrade rollouts. Do NOT use for upgrading a cloud provider package (pulumi-aws, pulumi-azure-native, pulumi-gcp, pulumi-kubernetes, etc.) in a single project — use skill `provider-upgrade` instead. Do NOT use for general infrastructure creation, resource provisioning, or how-to questions about a package.OficialDevOpsFără avertismente★ 78↓ —
- plotlyforyourhealth111-pixel/Vibe-SkillsInteractive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).DocumenteFără avertismente★ 3,8 K↓ —Apare și în 2 alte depozite
- lamindbforyourhealth111-pixel/Vibe-SkillsThis skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.DevOpsFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- networkxforyourhealth111-pixel/Vibe-SkillsComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.ȘtiințăFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- skill-lookupforyourhealth111-pixel/Vibe-SkillsActivates when the user asks about Agent Skills, wants to find reusable AI capabilities, needs to install skills, or mentions skills for Claude. Use for discovering, retrieving, and installing skills.AlteleFără avertismente★ 3,8 K↓ —
- pyhealthforyourhealth111-pixel/Vibe-SkillsComprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).TestareFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- deslopforyourhealth111-pixel/Vibe-SkillsIntelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.ProductivitateFără avertismente★ 3,8 K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- aeonforyourhealth111-pixel/Vibe-SkillsThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.PlanificareFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- gtarsforyourhealth111-pixel/Vibe-SkillsHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.ȘtiințăFără avertismente★ 3,8 K↓ —Apare și în 2 alte depozite
- structured-content-storageforyourhealth111-pixel/Vibe-SkillsEnforces structured, highly documented storage for code and data projects. Use when working on machine learning scripts, data processing, code creation, or script modification that should preserve clear structure and documentation.InginerieFără avertismente★ 3,8 K↓ —
- pyopenmsforyourhealth111-pixel/Vibe-SkillsPython interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows including file handling (mzML, mzXML, mzTab, FASTA, pepXML, protXML, mzIdentML), signal processing, feature detection, peptide identification, and quantitative analysis. Apply when working with mass spectrometry data, analyzing proteomics experiments, or processing metabolomics datasets.DateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- sympyforyourhealth111-pixel/Vibe-SkillsUse this skill when working with symbolic mathematics in Python. This skill should be used for symbolic computation tasks including solving equations algebraically, performing calculus operations (derivatives, integrals, limits), manipulating algebraic expressions, working with matrices symbolically, physics calculations, number theory problems, geometry computations, and generating executable code from mathematical expressions. Apply this skill when the user needs exact symbolic results rather than numerical approximations, or when working with mathematical formulas that contain variables and parameters.ȘtiințăFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- principle-experience-firstbacknotprop/pstackApply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.DesignFără avertismente★ 3 K↓ —Apare și în 3 alte depozite
- skill-creatorhimself65/finance-skillsCreate, improve, and evaluate agent skills (SKILL.md plus reference files). Use this skill whenever the user wants to build, scaffold, or design a new skill, improve or fix an existing skill that isn't working well, score or benchmark a skill's quality or run evals on it, or turn a repeated manual workflow into a skill ("I keep doing X manually", "can you remember how to do X", "turn this into a skill").DesignFără avertismente★ 3,5 K↓ —
- Agent Cost Reportthedotmack/claude-memBelievable agent cost report for any period, default the last 7 full days PT, not counting today. Measured tokens from Claude Code transcripts priced at OpenRouter list prices (ESTIMATED), measured provider spend when a sanctioned source exists, note-taker cost separate, Timing-style HTML/PDF plus report.json, line-items.csv, evidence.json.DateFără avertismente★ 103,9 K↓ —Apare și în 4 alte depozite
- docs-writeforyourhealth111-pixel/Vibe-SkillsWrite documentation following Metabase's conversational, clear, and user-focused style. Use when creating or editing documentation files (markdown, MDX, etc.).RedactareFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- tdd-guideforyourhealth111-pixel/Vibe-SkillsTest-first development route for TDD, writing failing tests first, RED -> GREEN -> REFACTOR, and behavior-changing feature/bug/refactor work. Do not use for already-failing test root-cause debugging, test-report packaging, or final completion evidence.TestareFără avertismente★ 3,8 K↓ —
- gsd:eval-reviewdavepoon/buildwithclaudeRetroactively audit an executed AI phase's evaluation coverage — scores each eval dimension as COVERED/PARTIAL/MISSING and produces an actionable EVAL-REVIEW.md with remediation planInginerieFără avertismente★ 3,7 K↓ —
- rtvi-vlm-customize-modelNVIDIA/skillsHow to swap the VLM in the VSS Alerts Blueprint — covers RTVI-VLM microservice deployment methods, all three VLM consumers (rtvi-vlm, vlm-as-verifier, vss-agent), and health checks.DevOpsFără avertismente★ 3,8 K↓ —
- typescript-best-practicesmichael-denyer/pstack-claudeTypeScript best practices. Use when reading or editing any .ts or .tsx file.InginerieFără avertismente★ 3,6 K↓ —
- LQF_Machine_Learning_Expert_Guideforyourhealth111-pixel/Vibe-SkillsLQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.InginerieFără avertismente★ 3,8 K↓ —
- ramp-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement a shared Ramp request budget with rolling-window throttling, bounded retries, pagination, and 504 recovery. Use when clients receive 429 or 504 responses or share one outbound IP. Trigger with "Ramp rate limit" or "Ramp 429".AlteleFără avertismente★ 2,9 K↓ —
exa-known-pitfalls
jeremylongshore/tons-of-skills-marketplace
InginerieActualizat acum 17 ore
De la autor
Audit an Exa integration for stale search types, unsafe secrets, ignored partial failures, unbounded content work, weak citations, and orphaned asynchronous resources. Use when operating or reviewing this Exa boundary. Trigger with "Exa known pitfalls", "review Exa known pitfalls", or "fix Exa known pitfalls".
Instalare
npx skills add jeremylongshore/tons-of-skills-marketplace --skill exa-known-pitfalls -a claude-code
Se instalează în .claude/skills/exa-known-pitfalls/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență82
Întreținere100
Licență100
Adopție55
Fișiere (2)
- SKILL.md
- references/official-docs.md