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.
49.393 de skill-uri din 2.375 de depozite · actualizat acum 3 minute
6.340 de skill-uri
- transcribeDesko77/claude-code-skills-1cТранскрибирование видео и аудио файлов. Используй когда пользователь просит транскрибировать, расшифровать запись, сделать конспект встречи, извлечь речь из видео или аудио, преобразовать речь в текст. Для аудио (m4a/mp3/wav/ogg/flac/aac/wma) по умолчанию локальный faster-whisper + диаризация с автодетектом числа спикеров (pyannote community-1 GPU; с явным --num-speakers N - sherpa-onnx, быстрее). Для видео (mp4/mkv/webm/avi/mov) - Gemini API (разбор экрана + скриншоты) либо полностью локально (--engine local: whisper + локальная VLM). Разделение по спикерам с распознаванием имен по голосу между встречами (голосовая база) и по репликам.InginerieFără avertismente★ 88↓ —
- python-repo-quickstartArabelaTso/Skills-4-SEQuickly analyzes Python repositories to understand their purpose, structure, and setup requirements. Use when Claude needs to onboard to a new Python codebase, understand project structure, identify entry points, determine dependencies, or generate setup instructions. Trigger when users ask to "analyze this Python repo", "understand this codebase", "how do I run this project", "what does this repo do", or provide a Python repository path for quick start guidance.InginerieFără avertismente★ 260↓ —
- light-review-rebuttalLight0305/Light-skillsBuild auditable peer-review revision and author-response packages for Light stage 13. Use after receiving reviewer comments, a decision or meta-review; when drafting a rebuttal or response letter; when triaging major/minor revisions; when simulating a pre-submission review; or when a rejection may require a user-chosen 13→3 novelty, 13→5 experiment, or 13→8 writing back-edge. Consumes the selected venue/context and real PDF facts, preserves reviewer wording, atomizes issues, binds claims/evidence/actions/provenance, separates PLANNED from DONE, checks current venue limits without borrowing another venue's rules, and emits the stage-13 gate without changing venue, manuscript, evidence, citations, figures, PDF, or passport automatically.InginerieFără avertismente★ 852↓ —
- alterlab-sem-psychometricsAlterLab-IEU/AlterLab-Academic-SkillsFits and evaluates measurement models — confirmatory factor analysis, full structural equation models, exploratory factor analysis, item response theory, and multi-group measurement invariance — using the verified Python stack: semopy (model syntax =~ / ~ / ~~, Model.fit, inspect(std_est=True), calc_stats for CFI/TLI/RMSEA), factor_analyzer (EFA, KMO, Bartlett, ConfirmatoryFactorAnalyzer), and pingouin/girth, computing McDonald's omega from standardized loadings and judging fit against Hu & Bentler cutoffs. Use when the request mentions confirmatory factor analysis, structural equation modeling, a latent variable or construct model, factor loadings, IRT, or measurement invariance across groups. For deciding whether a scale is trustworthy at all prefer alterlab-ssci-measurement-gate; for plain regression prefer alterlab-statistical-analysis. Part of the AlterLab Academic Skills suite.InginerieFără avertismente★ 84↓ —
- xdropxixu-me/skillsUse this skill when the user wants to send or fetch files through an Xdrop server from the terminal, asks to automate encrypted Xdrop share-link workflows, provides an Xdrop `/t/:transferId#k=...` link to download and decrypt locally, or needs Xdrop CLI flags such as `--quiet`, `--json`, `--expires-in`, `--output`, or `--api-url`, even if they do not explicitly mention the skill name.InginerieFără avertismente★ 79↓ —
- alterlab-stable-baselines3AlterLab-IEU/AlterLab-Academic-SkillsTrains single-agent reinforcement learning agents with Stable-Baselines3 — PPO, SAC, DQN, TD3, DDPG, and A2C behind a scikit-learn-like API. Use for standard single-agent RL experiments, quick prototyping, well-documented algorithm implementations on Gymnasium environments, or adding callbacks and evaluation. For high-throughput parallel training, multi-agent systems, or custom vectorized environments prefer alterlab-pufferlib. Part of the AlterLab Academic Skills suite.InginerieFără avertismente★ 84↓ —
- alterlab-pytorch-lightningAlterLab-IEU/AlterLab-Academic-SkillsScalable deep-learning training with PyTorch Lightning — organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, build data pipelines and callbacks, log to W&B or TensorBoard, and run distributed training (DDP, FSDP, DeepSpeed). Use when structuring PyTorch training loops, scaling neural-network training across GPUs/TPUs, or adding checkpointing, logging, and distributed strategies. Part of the AlterLab Academic Skills suite.InginerieFără avertismente★ 84↓ —
- alterlab-literature-reviewAlterLab-IEU/AlterLab-Academic-SkillsConducts comprehensive, systematic literature reviews across multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar), with PRISMA 2020 flow tracking, study screening (title/abstract and full-text), evidence-table extraction, and risk-of-bias assessment (RoB 2, ROBINS-I, AMSTAR 2), producing professionally formatted markdown documents and PDFs with verified citations in multiple styles (APA, Nature, Vancouver). Use when running a systematic or scoping literature review, research synthesis, or broad literature search, building a PRISMA flow diagram, screening studies, extracting an evidence table, or assessing risk of bias across biomedical, scientific, and technical domains. For quantitative pooling of effect sizes (forest/funnel plots) use alterlab-meta-analysis; for an open-ended multi-agent investigation, fact-check, or Socratic research-question work use alterlab-deep-research. Part of the AlterLab Academic Skills suite.InginerieFără avertismente★ 84↓ —
- systematic-review-prismaKalarisLabs/research-agent-skillsPlan, run and report systematic reviews and meta-analyses to PRISMA 2020 standards. Use when writing a review protocol (PROSPERO/OSF), building reproducible database search strings (PubMed, Embase, Scopus, Web of Science), deduplicating exports, organizing title/abstract and full-text screening, assessing risk of bias, drawing the PRISMA flow diagram, or completing the PRISMA 2020 checklist. Includes a dedup tool and a checked PRISMA diagram generator.InginerieFără avertismente★ 95↓ —
- kubesphere-gateway-apikubesphere/kubesphereKubeSphere Gateway API extension management Skill (Traefik based, uses Kubernetes Gateway API + GatewayProxy CRD gatewayapi.kubesphere.io/v1alpha1). This is the newer Kubernetes Gateway API standard. For the older Ingress API based gateway (ingress-nginx + Gateway CRD gateway.kubesphere.io/v2alpha2), see the kubesphere-gateway skill instead. Covers installation, uninstallation, status checks, GatewayProxy status inspection, and troubleshooting.InginerieFără avertismente★ 17,1 K↓ —
- python-async-ops0xDarkMatter/claude-modsPython asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.InginerieFără avertismente★ 80↓ —
- alterlab-rnaseq-quantAlterLab-IEU/AlterLab-Academic-SkillsQuantifies bulk RNA-seq transcript abundance with salmon 2.x (the Rust rewrite; selective alignment or --sketch) and kallisto (v0.52.0, kb-python workflow), builds a decoy-aware gentrome index, runs quant with --gcBias -l A, then imports estimates via tximport/tximeta with a tx2gene map and hands differential expression to alterlab-pydeseq2. Warns that salmon 2.0 cannot read C++/pufferfish indices (rebuild every index), that --validateMappings is now accepted-but-ignored, and that 'salmon alevin' was REMOVED (single-cell now uses piscem + alevin-fry). Use when quantifying RNA-seq transcript abundance, running salmon or kallisto, building a decoy-aware index, or wiring tximport to DESeq2; for differential expression use alterlab-pydeseq2, for FASTQ-to-VCF variant calling use alterlab-nf-core-sarek. Part of the AlterLab Academic Skills suite.InginerieFără avertismente★ 84↓ —
- alterlab-scikit-learnAlterLab-IEU/AlterLab-Academic-SkillsClassical machine learning in Python with scikit-learn — algorithms, preprocessing, pipelines, and best-practice reference documentation. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, feature preprocessing, or building ML pipelines. Part of the AlterLab Academic Skills suite.InginerieFără avertismente★ 84↓ —
- alterlab-trdizinAlterLab-IEU/AlterLab-Academic-SkillsSearches TR Dizin (TÜBİTAK ULAKBİM national citation index) and verifies a journal's current national-index status through its confirmed unauthenticated REST/Elasticsearch API at https://search.trdizin.gov.tr/api/defaultSearch/{publication|journal|author|institution}/ (params q, order e.g. relevance-DESC, page), parsing hits.hits[]._source plus faceted aggregations, and derives indexing status from a journal record's isActive + journalYear coverage vs rejectYearList. Use when the user wants to search TR Dizin, check if a journal is TR Dizin indexed (TR Dizin'de var mı / taranıyor mu), find Turkish-indexed publications, verify national-index status before submitting, or audit doçentlik-eligible venues. For DergiPark hosting prefer alterlab-dergipark; for doçentlik points prefer alterlab-docentlik-eligibility; for teşvik scoring prefer alterlab-akademik-tesvik. Part of the AlterLab Academic Skills suite.InginerieFără avertismente★ 84↓ —
- hidden-code-skillclaude-world/claude-skill-antivirusA perfectly innocent-looking skill whose manifest hides nothing.InginerieFără avertismente★ 83↓ —
- hunting-for-supply-chain-compromise26zl/cybersec-toolkitHunt for supply chain compromise indicators including trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts.InginerieFără avertismente★ 87↓ —
- superpowers-labMicrock/ordinary-claude-skillsExperimental Claude Code skills extending capabilities with new techniques for interactive CLI tools, tmux automation, and advanced workflows.InginerieFără avertismente★ 409↓ —
- session-relayclaude-world/director-mode-liteContinue real repository work between Claude Code, Codex CLI, and Grok Build with a privacy-bounded, drift-aware handoff packet. Use for cross-vendor takeover, context-limit checkpoints, multi-hop Claude→Codex→Grok relays, or receiving an existing Director packet. Use native resume commands for same-CLI history; never treat another vendor's session ID as portable.InginerieFără avertismente★ 80↓ —
- social-performance-reviewstevenflanagan1/social-ai-teamMonthly social media performance review for SMBs. Analyses post-level and account-level data from Instagram, LinkedIn, Facebook, or TikTok. Identifies what worked, what didn't, and why. Produces a client-ready report and specific recommendations that feed back into the content calendar. Accepts CSV exports, screenshots, or manual data input.InginerieFără avertismente★ 268↓ —
- java-api-consistency-validatorArabelaTso/Skills-4-SEValidate API consistency between two versions of Java libraries. Use when you need to compare API behavior, signatures, and exceptions between Java library versions to identify breaking changes, incompatible modifications, and behavior differences. The skill performs static analysis of Java code, compares method signatures, class definitions, interface changes, parameter types, return types, exception declarations, and generates a detailed JSON report with breaking changes, warnings, and migration guidance. Supports Java libraries and packages.InginerieFără avertismente★ 260↓ —
- slurm-job-script-generatorHeshamFS/materials-simulation-skillsGenerate correct, copy-pasteable SLURM sbatch job scripts and sanity-check HPC resource requests — configure nodes, MPI tasks, OpenMP threads, memory (per-node or per-cpu), GPUs, walltime, partitions, modules, and environment variables, with automatic detection of conflicting directives and oversubscription. Use when preparing a SLURM submission script, deciding between pure MPI and hybrid MPI+OpenMP layouts, standardizing #SBATCH directives across a team, debugging why a job won't launch or gets killed, or setting up GPU-accelerated simulation jobs, even if the user only says "I need to run this on the cluster" or "my job keeps getting killed."InginerieFără avertismente★ 83↓ —
- code-reviewerTestAny-io/testany-agent-skillsCode review, implementation review, 源码评审、实现复审。Use when: implementation Candidate 已形成，需要基于已批准需求/设计和精确 Git 边界做首次完整 Code Review 或整改 delta 复审。Do not use for API/HLD/LLD/Test/Runbook review or deployment approval.InginerieFără avertismente★ 82↓ —
- testany-debugTestAny-io/testany-agent-skills分析 Testany 测试失败原因 - 排查问题、查看日志、定位根因；处理签名日志前先单独加载本 skill，勿回显原始请求。InginerieFără avertismente★ 82↓ —
- simulation-failure-triageHeshamFS/materials-simulation-skillsFirst-response triage for cross-code (LAMMPS/VASP/QE/MOOSE) simulation failures: classifies the failure signature (nonconvergence, NaN/Inf, exploding energy, unstable timestep, pressure blow-up, missing potentials/pseudopotentials, memory exhaustion, process crash/segfault, corrupted output, incomplete runs) and proposes a SAFE one-change-at-a-time RETRY LADDER with explicit STOP CONDITIONS, prioritizing evidence preservation. Use as the immediate first response to a failed or suspicious run. For deep per-stage validation, conservation/physical-bounds checks, and "can I trust these results" analysis, defer to the simulation-validator skill.InginerieFără avertismente★ 83↓ —