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 20 de ore
44.573 de skill-uri
- nemo-relay-plugin-buildNVIDIA/skillsUse this skill when building or packaging reusable NeMo Relay runtime behavior as an embedded configuration component or a manifest-backed `rust_dynamic` native or `worker` gRPC plugin, with deterministic validation and rollback-safe registration.AlteleFără avertismente★ 3,7 K↓ —
- nemo-rl-brev-etiquetteNVIDIA/skillsBrev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. Use when running nemo-rl-auto-research campaigns, experiments, training jobs, model or dataset downloads, shared cache-heavy commands, log-producing runs, checkpoint generation, W&B or Hugging Face authenticated workflows, or any workflow that may create large files on Brev.ȘtiințăFără avertismente★ 3,7 K↓ —
- gsd:sketchdavepoon/buildwithclaudeSketch UI/design ideas with throwaway HTML mockups, or propose what to sketch next (frontier mode)DesignFără avertismente★ 3,7 K↓ —
- G2 Legend Expertforyourhealth111-pixel/Vibe-SkillsExpert skill for G2 legend development - provides comprehensive knowledge about legend rendering implementation, component architecture, layout algorithms, and interaction handling. Use when implementing, customizing, or debugging legend functionality in G2 visualizations.MediaFără avertismente★ 3,8 K↓ —
- ml-data-leakage-guardforyourhealth111-pixel/Vibe-SkillsDetects and prevents data leakage in machine learning and mathematical modeling. Use after ML tasks involving data cleaning, feature engineering, data augmentation, algorithm development, normalization, missing value imputation, dimensionality reduction, feature selection, or time series modeling. Checks if features/statistics would be available at prediction time.ProductivitateFără avertismente★ 3,8 K↓ —
- ml-pipeline-workflowforyourhealth111-pixel/Vibe-SkillsBuild end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.ProductivitateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- MCP Integrationforyourhealth111-pixel/Vibe-SkillsThis skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.InginerieFără avertismente★ 3,8 K↓ —Apare și în 2 alte depozite
- fuzzing-obstaclestrailofbits/skillsPatches past the barriers that stop a fuzzer making progress — checksum and hash verification, magic-value validation, time-based seeds, and other non-deterministic global state. Covers locating the blocking check, neutering it behind a fuzzing build flag, and avoiding the false positives a patch can introduce. Use when a fuzzer is stuck at validation, when coverage shows large regions behind a checksum, or when valid inputs are impractical to generate.AlteleFără avertismente★ 7,8 K↓ —
- evals-contextforyourhealth111-pixel/Vibe-SkillsProvides context about the Roo Code evals system structure in this monorepo. Use when tasks mention "evals", "evaluation", "eval runs", "eval exercises", or working with the evals infrastructure. Helps distinguish between the evals execution system (packages/evals, apps/web-evals) and the public website evals display page (apps/web-roo-code/src/app/evals).ProductivitateFără avertismente★ 3,8 K↓ —
- tao-finetune-video-clipNVIDIA/skillsInternVideo2-CLIP L14 (TAO video_clip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. Use when the user asks to "fine-tune IV2CLIP", "run video_clip train/evaluate/inference/export", "build a Video-CLIP TensorRT engine", "InternVideo2-CLIP on KPI chunks", or "TAO video_clip on vadr1_chunks JSON".MediaFără avertismente★ 3,7 K↓ —
- offensive-cicd-pipelineSnailSploit/Claude-RedComprehensive CI/CD pipeline exploitation methodology covering GitHub Actions injection vectors (expression injection via PR titles and issue bodies, workflow_run event abuse, GITHUB_TOKEN over-scoping, composite action supply chain compromise), Jenkins attack paths (Groovy sandbox escapes, script console remote code execution, Java remoting deserialization, credential store dumping, shared library injection), GitLab CI exploitation (YAML anchor injection, runner registration token abuse, CI variable extraction, protected branch bypass via merge request pipelines), and Azure DevOps pipeline agent compromise with service connection theft. Includes artifact poisoning techniques across all platforms, tooling guidance for gato and jenkins-attack-framework, and maps to MITRE ATT&CK T1195.002 (Supply Chain Compromise: Compromise Software Supply Chain). Covers enumeration of pipeline configurations, privilege escalation from contributor to code execution, lateral movement through pipeline trust boundaries, and persiDevOpsFără avertismente★ 9 K↓ —
- dropbox-automationdavepoon/buildwithclaudeAutomate Dropbox file management, sharing, search, uploads, downloads, and folder operations via Rube MCP (Composio). Always search tools first for current schemas.AlteleFără avertismente★ 3,7 K↓ —
- creator-registryaaron-he-zhu/aaron-marketing-skillsUse when the user asks "what did we pay this creator last time" or to "update the creator roster"; curates creator identity, rate, rights, exclusivity, compliance-event, and performance facts through the append-only creators event stream. Not for scoring fit — use fit-scorer; not for reviewing content — use creator-content-auditor. 创作者档案/达人名册JuridicFără avertismente★ 3 K↓ —
- tao-run-dinov3-ssl-deftNVIDIA/skillsRun iterative DINOv3 SSL DEFT data selection and retraining from an unlabeled pool, using GRIT or multi-task weakness and fixed-encoder retrieval. Use for active-learning-style DINOv3 mining, not plain pretraining/fine-tuning (tao-train-dinov3) or AOI/PAS DEFT.ProductivitateFără avertismente★ 3,7 K↓ —
- jetson-print-device-infoNVIDIA/skillsUse when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. This is an example skill.AlteleFără 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★ 3,7 K↓ —
- physicsnemo-shard-tensorNVIDIA/skillsOfficial NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions.TestareFără avertismente★ 3,7 K↓ —
- nvshmem-tune-performanceNVIDIA/skillsRoute NVSHMEM tuning to data collection, remote transport, NIC-to-PE mapping, or TMA. Do not use for unrelated CUDA, NCCL, or application tuning.AlteleFără avertismente★ 3,7 K↓ —
- content-writeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "write SEO content", "draft a blog post / landing page", "update outdated content", or "fix traffic/ranking decay"; two modes — new drafts pages with keywords, headers, snippets, and evidence boundaries; refresh scores decay, prioritizes update work, and produces a republish plan with GEO guidance. Not for AI-citation/GEO readiness scoring — use geo-content-optimizer; not for publish-gate scoring — use content-quality-auditor. SEO文章写作/内容更新/排名恢复RedactareFără avertismente★ 3 K↓ —
- wiki-rebuildAr9av/obsidian-wikiArchive and rebuild wiki knowledge from source, or restore a prior archive. Use for full restart/recovery when incremental repair is inappropriate; this is broader and more destructive than ordinary update or lint.AlteleFără avertismente★ 3,6 K↓ —
- memory-bridgeAr9av/obsidian-wikiBrowse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.ProductivitateFără avertismente★ 3,6 K↓ —
- holoscan-install-containerNVIDIA/skillsInstall and verify the Holoscan SDK 5.x CUDA 13 development container after checking release availability and host compatibility.AlteleFără avertismente★ 3,7 K↓ —
- doca-gpunetio-ib-write-latNVIDIA/skillsUse this skill when the user characterizes RDMA WRITE round-trip time posted from a CUDA kernel via GPUNetIO — compiling `gpunetio_ib_write_lat` under `doca/tools/`, verifying GPU–NIC affinity, and interpreting the half-iteration / full-iteration / nanosecond columns for median / p99 / tail-jitter analysis of a real-time control loop. Also load it for implied asks like "p99 WRITE time on H100 + ConnectX", "tail delay versus batching", or "device-originated versus upstream ib_write_lat". Refuse and route to the proper owner for throughput runs (doca-gpunetio-ib-write-bw), the GPI channel API (doca-gpi), GPUNetIO API work (doca-gpunetio), or SDK setup.RedactareFără avertismente★ 3,7 K↓ —
- audience-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "analyze my target audience", "build an audience profile for influencer targeting", "research a niche community", or "deep-dive a subculture before partnering with creators"; in audience mode produces demographic/psychographic profiles, a platform-priority matrix, named personas, and an influencer-selection criteria set, and in niche mode produces a community map, culture decode (language/norms/taboos), key-voice tiers, a Brand Fit Score, and a phased entry strategy. Not for finding specific creators to contract — use influencer-discovery; not for scoring a shortlist on Suitability — use fit-scorer. 目标受众画像/人群分析 · 细分社群/亚文化调研ȘtiințăFără avertismente★ 3 K↓ —
garden-inbox
paperclipai/paperclip
AlteleActualizat acum 22 de ore
De la autor
Scan a Paperclip user's Mine inbox, classify reversible archive candidates, request checkbox confirmation, and archive only accepted selections. Use when asked to garden, clean up, prune, or tidy a Paperclip inbox without changing issues, branches, or workspaces.
Instalare
npx skills add paperclipai/paperclip --skill garden-inbox -a claude-code
Se instalează în .claude/skills/garden-inbox/ · 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 incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 90
Securitate85
Proveniență95
Întreținere100
Licență100
Adopție77
Fișiere (3)
- SKILL.md
- scripts/garden-inbox.mjs
- scripts/garden-inbox.test.mjs