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.
48.622 de skill-uri din 2.355 de depozite · actualizat acum 22 de ore
48.622 de skill-uri
- dev-refactorcodeaholicguy/ai-devkitAI DevKit · Systematic structural or multi-file refactors across any stack while preserving behavior and public contracts. Use for reorganizing modules, boundaries, naming, APIs/contracts, staged refactor plans, or refactor risk review.InginerieFără avertismente★ 1,7 K↓ —
- seedance-horror-suspenseLearnPrompt/awesome-seedanceEvery shot carries its own timecode and shows one visible change on a body. The dread comes from the chain — a look, veins, a bite, the next person — and the ending seals a door without settling anything. Use when the user wants a Seedance 2.5 / 2.0 video prompt for this kind of clip (Horror and suspense; 中文触发词: 恐怖悬疑短片, 恐怖, 悬疑, 惊悚), or asks how published cases of this type were prompted. Read references/cases.md before drafting.MediaFără avertismente★ 2,4 K↓ —
- seven-pass-reviewpedrohcgs/claude-code-my-workflowMechanize Pattern 15 — the seven-pass adversarial review protocol for academic manuscripts. Spawns 7 fresh-context subagents in parallel (abstract, intro, methods, results, robustness, prose, citations), then synthesizes a prioritized revision checklist. Use for submission-ready or R&R-stage papers where single-pass review isn't enough.InginerieFără avertismente★ 1,7 K↓ —
- dev-reviewcodeaholicguy/ai-devkitAI DevKit · Final code review phase guidance for holistic pre-push review. Use when the user wants code review, final lifecycle review, design alignment checks, integration risk review, or dev-lifecycle phase 9.InginerieFără avertismente★ 1,7 K↓ —
- gtarsK-Dense-AI/scientific-agent-skillsSupports Gtars for local genomic interval models and set algebra, overlaps and counts, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and the CLI.ȘtiințăFără avertismente★ 55,6 K↓ —Apare și în 2 alte depozite
- portfolio-governancecbrock84/headcountGoverns the portfolio of work — intake, prioritization, stage gates, resource contention, and stopping things. Use this to set up intake and prioritization, run a stage gate, decide between competing initiatives, resolve resource contention across projects, or work out why everything is in flight and nothing is finishing.AlteleFără avertismente★ 2,6 K↓ —
- blog-schemaAgriciDaniel/claude-blogGenerate complete JSON-LD schema markup for blog posts with Article/BlogPosting, Person, Organization, BreadcrumbList, ImageObject, and optional FAQPage. Validates against Google requirements and warns about deprecated types. Use when user says "schema", "blog schema", "json-ld", "structured data", "schema markup", "generate schema".RedactareFără avertismente★ 2,6 K↓ —
- capital-allocationcbrock84/headcountEvaluates where to spend limited capital — investment appraisal, hurdle rates, payback, and comparing proposals that are not alike. Use this to evaluate an investment or major purchase, compare competing funding requests, set a hurdle rate, decide between building and buying, or review whether past investments delivered what was claimed.FinanțeFără avertismente★ 2,6 K↓ —
- remote-from-slackcodeaholicguy/ai-devkitAI DevKit · Connect the current agent session to an available Slack channel bridge.AlteleFără avertismente★ 1,7 K↓ —
- deepchemK-Dense-AI/scientific-agent-skillsBuilds molecular property prediction and MoleculeNet workflows with DeepChem, including SMILES featurization, scaffold or grouped holdouts, masked labels, graph models and explicit pretrained encoder transfer. Used for ADMET, toxicity, solubility and chemistry ML when DeepChem data/model contracts and scientific validation are needed.ȘtiințăFără avertismente★ 55,6 K↓ —Apare și în 1 alt depozit
- loki-modesickn33/agentic-awesome-skillsHistorical 2.35.x multi-agent workflow for turning a scoped PRD into reviewed implementation; includes experimental runner and benchmark artifacts.PlanificareFără avertismente★ 49 K↓ —
- carapaceLeoYeAI/agent-master-skillsQuery and contribute structured understanding to Carapace — the shared knowledge base for AI agents. Includes Chitin integration for bridging personal and distributed insights.AlteleFără avertismente★ 2,2 K↓ —
- litert-runtimeandroid/skillsConfigures and implements LiteRT (.tflite) on-device inference on Android in Kotlin using the CompiledModel API on CPU and GPU. Use this skill for any Android LiteRT or .tflite task, including Gradle setup, image classification or vision/audio/embedding helpers, TensorBuffer reuse, CPU memory optimization, Bitmap preprocessing, AndroidViewModel GPU-to-CPU fallback with warm-up on a single-thread dispatcher, LiteRT in Google Play services (play-services-litert), migrating from legacy org.tensorflow.lite.Interpreter, GpuDelegate, or play-services-tflite, and latency benchmarking. Don't use for running generative text LLMs with .litertlm files or for Python model conversion.OficialMediaFără avertismente★ 10,2 K↓ —
- process-designcbrock84/headcountDesigns, documents, and fixes operational processes — mapping the current state, finding where work actually stalls, redesigning the flow, and building controls that hold. Use this when the same failure keeps recurring, when a handoff between teams is unreliable, when onboarding a repeated task, when work takes far longer than the work itself, or when deciding whether to automate, standardize, or eliminate a process.DesignFără avertismente★ 2,6 K↓ —
- prompt-engineering-patternswshobson/agentsThis skill should be used when the user asks to "optimize a prompt", "improve prompt performance", "design a prompt template", "write better prompts", "debug prompt issues", "use chain-of-thought", "structured prompting", "few-shot prompting", or wants to apply advanced prompt engineering patterns for production LLM applications.DesignFără avertismente★ 42,1 K↓ —
- pkpd-modelingK-Dense-AI/scientific-agent-skillsPharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when analysing concentration-time data, deriving exposure metrics, fitting PK or PD models, or evaluating dosing regimens. Triggers include "pharmacokinetics", "pharmacodynamics", "PK/PD", "NCA", "non-compartmental", "AUC", "Cmax", "lambda z", "half-life", "clearance", "volume of distribution", "compartmental model", "population PK", "popPK", "NONMEM", "nlmixr2", "Pharmpy", "Monolix", "exposure-response", "Emax", "EC50", "indirect response", "effect compartment", "TMDD", "PBPK", "bioequivalence", "RSABE", "ABEL", "allometric scaling", "first-in-human", "MABEL", "drug-drug interaction", "DDI", "ICH M12", "concentration-QTc", "therapeutic drug monitoring", "MIPD", and "dosing regimen".AlteleFără avertismente★ 55,6 K↓ —
- engage-sdk-integrationandroid/skillsHelps developers integrate, debug, and resolve Play Engage SDK implementation issues. Use when adding Engage SDK support, generating publishing code, mapping data classes to entities, or fixing SDK-related errors.OficialInginerieFără avertismente★ 10,2 K↓ —
- android-intent-securityandroid/skillsBest practices for Android Intent security. Use this skill when auditing component configurations in AndroidManifest.xml activities, services, receivers) or source code handling incoming Intents (getIntent, getParcelableExtra) to prevent Intent Redirection and unauthorized access.OficialSecuritateFără avertismente★ 10,2 K↓ —
- aeonK-Dense-AI/scientific-agent-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★ 55,6 K↓ —Apare și în 2 alte depozite
- pacsomaticK-Dense-AI/scientific-agent-skillsPrepares and launches nf-core/pacsomatic matched tumor-normal PacBio HiFi genomics workflows from unaligned BAM inputs. Supports samplesheet generation, pinned Nextflow launch artifacts, local checks, LSF/Slurm/PBS Pro/SGE launcher submission, and startup troubleshooting. Use for pacsomatic run preparation and execution, not general short-read somatic analysis or medical imaging PACS.ȘtiințăFără avertismente★ 55,6 K↓ —
- zxLeoYeAI/agent-master-skillsComprehensive guide for writing shell scripts with Google zx — a tool for writing better scripts using JavaScript/TypeScript. Use when writing, debugging, or refactoring zx scripts (.mjs, .js, .ts files using zx), executing shell commands from JavaScript, working with ProcessPromise/ProcessOutput APIs, piping streams, configuring zx options, or using zx CLI. Do NOT use for general Node.js questions unrelated to shell scripting.RedactareFără avertismente★ 2,2 K↓ —
- quellen-livecheckKlotzkette/claude-fuer-deutsches-rechtFür Rechtsquellen-Livecheck: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Produkthaftung und Produktrecht.AlteleFără avertismente★ 1,8 K↓ —
- huashu-proofreadingalchaincyf/huashu-skills三遍审校降低AI检测率，让文章更有人味。当用户提到"AI味太重"、"像AI写的"、"降低AI检测率"、"审校"、"自然一些"时使用。RedactareFără avertismente★ 2,2 K↓ —
- archify-tuningtt-a1i/archifyImprove Archify diagram accuracy, visual quality and complete authoring speed with fewer repairs. Use for generation experiments or evaluating changes to layout, routing, diagnostics, authoring instructions and acceptance rules against actual diagrams and agent traces.AlteleFără avertismente★ 92,3 K↓ —
exploratory-data-analysis
K-Dense-AI/scientific-agent-skills
DateActualizat 26 oct. 2026
De la autor
Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain formats are reference-only and unknown formats fail closed.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill exploratory-data-analysis -a claude-code
Se instalează în .claude/skills/exploratory-data-analysis/ · 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
Rulează scripturile incluseFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 89
Securitate85
Proveniență95
Întreținere100
Licență100
Adopție73
Fișiere (21)
- SKILL.md
- assets/report_template.md
- references/bioinformatics_genomics_formats.md
- references/chemistry_molecular_formats.md
- references/general_scientific_formats.md
- references/microscopy_imaging_formats.md
- references/proteomics_metabolomics_formats.md
- references/spectroscopy_analytical_formats.md
- scripts/__init__.py
- scripts/_capabilities.py
- scripts/_common.py
- scripts/_structured.py
- încă 9