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.
45.604 skill-uri din 2.205 depozite · actualizat acum 15 ore
2.587 de skill-uri
- afu-llm-todoLearnPrompt/afu-llm-todo管家阿福(Afu)——把 Obsidian 收件箱变成活的 Wiki,再变成本周待办卡和周历:Inbox -> Wiki -> Todo Card -> Calendar 一条线。本地优先,Markdown 是唯一真源,收件箱原文不改写,导入/排期/作废/编译全部写操作日志可回滚。 触发词包括但不限于:整理我的 Obsidian 收件箱、每天提醒我处理 Obsidian 收件箱、inbox 清零、把这批资料编译成 Wiki、从笔记生成本周待办、待办卡排进周历、阿福帮我理一下 vault。 即使用户只是说"我的 Obsidian 堆了一堆没处理的东西",也应该触发。 不要用于:不涉及 Obsidian/Markdown vault 的普通待办管理(用一般 todo 工具);改写、润色、总结笔记原文(阿福只整理位置,不动原文);Notion 等非 Markdown 知识库。ProductivitateFără avertismente★ 88↓ —
- Single-Cell Foundation Models Skills IndexBioTender-max/awesome-bio-agent-skillsWorkflow guidance and model reference for single-cell foundation models (scGPT, Geneformer, UCE, scBERT, etc.). Covers model selection, validation-first workflow, and per-model I/O contracts.ProductivitateFără avertismente★ 206↓ —
- bookingseldonframe/seldonframeThe booking page (calendar) — what visitors see when they hit /book. Title, description, slot duration, location kind, weekly availability hours, and the form fields collected at booking time.ProductivitateFără avertismente★ 64↓ —
- modelsPrefectHQ/colinA context engine that treats skills as software.ProductivitateFără avertismente★ 124↓ —
- read-qcBioTender-max/awesome-bio-agent-skillsWorkflow for sequencing read QC, trimming, contamination screening, and pre-alignment cleanup.ProductivitateFără avertismente★ 206↓ —
- hbn-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the Healthy Brain Network (HBN) dataset, including download, BIDS organization, and multimodal processing of sMRI, dMRI, rs-fMRI, task-fMRI, and EEG data. Triggers include: 'HBN', 'Healthy Brain Network', 'process HBN', 'HBN fMRI', 'HBN EEG', or any request to run the HBN multimodal pipeline. This is the NeuroClaw dataset-orchestration layer for HBN.ProductivitateFără avertismente★ 206↓ —
- ixi-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the IXI (Information eXtraction from Images) dataset, including data download, BIDS organization, and multimodal processing of T1w, T2w, and MRA. Triggers include: 'IXI', 'IXI dataset', 'process IXI data', 'IXI MRI', or any request to run the IXI multimodal pipeline.ProductivitateFără avertismente★ 206↓ —
- tcp-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the Transdiagnostic Connectome Project (TCP) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'TCP', 'Transdiagnostic Connectome', 'process TCP data', 'TCP fMRI', or any request to run the TCP multimodal pipeline.ProductivitateFără avertismente★ 206↓ —
- nsd-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the Natural Scenes Dataset (NSD), including data access, BIDS validation, multimodal processing of task-fMRI and structural MRI, stimulus metadata extraction, and QC integration. Triggers include: 'NSD', 'Natural Scenes Dataset', 'process NSD data', 'NSD fMRI', 'visual neuroscience', or any request to run the NSD multimodal pipeline.ProductivitateFără avertismente★ 206↓ —
- metagenomicsBioTender-max/awesome-bio-agent-skillsShotgun metagenomics workflow with host-depletion-aware QC, taxonomic profiling, functional profiling, AMR follow-up, and reproducible community output tables.ProductivitateFără avertismente★ 206↓ —
- meeting-notes-to-actionsAGI-comming/functional-skill-creatorConvert meeting notes into owners, action items, decisions, and follow-up messages.ProductivitateFără avertismente★ 257↓ —
- abcd-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the ABCD Study dataset, including download via NIMH Data Archive, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'ABCD Study', 'ABCD data', 'process ABCD', 'ABCD fMRI', 'ABCD sMRI', 'ABCD diffusion', or any request to run the ABCD multimodal pipeline. This is the NeuroClaw dataset-orchestration layer for ABCD.ProductivitateFără avertismente★ 206↓ —
- adni-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for ADNI data (fMRI + T1), including BIDS preparation, fMRIPrep preprocessing, and DK68 ROI pipeline. This is the NeuroClaw dataset-orchestration layer for ADNI.ProductivitateFără avertismente★ 206↓ —
- hcpa-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the HCP Aging (HCP-A) dataset, including dataset download, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'HCP Aging', 'HCP-A', 'process HCP Aging data', 'HCP Aging sMRI fMRI', or any request to run the HCP-A multimodal pipeline.ProductivitateFără avertismente★ 206↓ —
- ppmi-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the Parkinson's Progression Markers Initiative (PPMI) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'PPMI', 'Parkinson', 'Parkinson disease', 'process PPMI data', 'PPMI fMRI', or any request to run the PPMI multimodal pipeline.ProductivitateFără avertismente★ 206↓ —
- nifd-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the Neuroimaging in Frontotemporal Dementia (NIFD) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'NIFD', 'frontotemporal dementia', 'FTD', 'bvFTD', 'PPA', 'process NIFD data', or any request to run the NIFD multimodal pipeline.ProductivitateFără avertismente★ 206↓ —
- aibl-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the AIBL (Australian Imaging, Biomarkers and Lifestyle) dataset, including data access guidance, BIDS organization, and multimodal processing of sMRI and PET (PiB, FDG, tau). Triggers include: 'AIBL', 'AIBL data', 'process AIBL', 'AIBL PET', 'AIBL MRI', or any request to run the AIBL multimodal pipeline. This is the NeuroClaw dataset-orchestration layer for AIBL.ProductivitateFără avertismente★ 206↓ —
- ribo-seqBioTender-max/awesome-bio-agent-skillsWorkflow for ribosome profiling, P-site aware preprocessing, periodicity checks, ORF detection, and translation efficiency analysis.ProductivitateFără avertismente★ 206↓ —
- pnc-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the Philadelphia Neurodevelopmental Cohort (PNC) dataset, including BIDS validation, multimodal processing of sMRI, rs-fMRI, task-fMRI, and dMRI, phenotype extraction, and QC integration. Triggers include: 'PNC', 'Philadelphia Neurodevelopmental Cohort', 'process PNC data', 'PNC fMRI', or any request to run the PNC multimodal pipeline.ProductivitateFără avertismente★ 206↓ —
- hcpd-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the HCP Development (HCP-D) dataset, including dataset download, BIDS organization, and multimodal processing of sMRI, fMRI, and dMRI. Triggers include: 'HCP Development', 'HCP-D', 'process HCP Development data', 'HCP Development sMRI fMRI', or any request to run the HCP-D multimodal pipeline.ProductivitateFără avertismente★ 206↓ —
- navigation-and-routingzakariaf/Flutter-SkillsEnforces one app-wide GoRouter in lib/routing/ wired via MaterialApp.router, deep-linkable identity in path params never state.extra, context.go-vs-context.push discipline, redirect guards as pure functions driven by a Riverpod refreshListenable, StatefulShellRoute.indexedStack for branch-state-preserving BottomNavigationBar/NavigationRail shells, CustomTransitionPage transitions that respect reduced motion, PopScope (canPop/onPopInvokedWithResult) for unsaved-changes interception, and an errorBuilder 404 route. Use when adding routes, GoRoute, redirect, auth/onboarding gates, deep links, ShellRoute or nested navigation, bottom-nav/rail tab shells, page transitions, back-button/unsaved-changes handling, notification-payload-to-location mapping, typed routes, go_router_builder, or wiring go_router into app.dart.ProductivitateFără avertismente★ 62↓ —
- yingan-tuoxiualicewe1/alice_skillOwner-authorized YingAn/YingPo Android APK shell rehydration and stable rebuild workflow. Use for APKs with tiny or abnormal root DEX files, v.m.p or abcd655xx shell callbacks, libabcd/lib*shellservice_dex native loaders, protected assets, runtime-loaded DEX images, hidden real Application or Activity routes, and native lifecycle wrappers that must be recovered into a normally installable, signed multidex APK without changing product authentication or business authorization behavior.ProductivitateFără avertismente★ 52↓ —Apare și în 1 alt depozit
- evo-memoryBioTender-max/awesome-bio-agent-skillsManages persistent research memory across ideation and experimentation cycles. Maintains two stores: Ideation Memory M_I (feasible/unsuccessful directions) and Experimentation Memory M_E (reusable strategies for data processing, model training, architecture, debugging). Three evolution mechanisms: IDE (after research-ideation), IVE (after experiment failure — classifies failures as implementation vs fundamental), ESE (after experiment success — extracts reusable strategies). Use when: updating memory after completing research-ideation cycles or experiment pipelines, classifying why a method failed (implementation vs fundamental failure), starting a new research cycle needing prior knowledge, user mentions 'update memory', 'classify failure', 'what worked before', 'research history', 'evolution'. Do NOT use for running experiments (use experiment-pipeline), debugging experiment code (use experiment-craft), or generating ideas (use research-ideation).ProductivitateFără avertismente★ 206↓ —
- mnd-skillBioTender-max/awesome-bio-agent-skillsUse this skill whenever the user wants an end-to-end workflow for the Motor Neuron Disease (MND) dataset from OpenNeuro ds005874, including BIDS validation, multimodal processing of rs-fMRI and task-fMRI, phenotype extraction, and QC integration. Triggers include: 'MND', 'Motor Neuron Disease', 'ALS', 'Amyotrophic Lateral Sclerosis', 'process MND data', 'MND fMRI', or any request to run the MND multimodal pipeline.ProductivitateFără avertismente★ 206↓ —