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.
45.100 de skill-uri din 2.196 de depozite · actualizat acum 5 ore
45.100 de skill-uri
- mcore-create-issueNVIDIA/skillsInvestigate a failing GitHub Actions run or job and create a GitHub issue for the failure.DevOpsFără avertismente★ 3,7 K↓ —
- tao-train-segformerNVIDIA/skillsSegFormer for semantic segmentation. Lightweight transformer-based architecture with hierarchical feature extraction, efficient for real-time segmentation tasks. Use when training, evaluating, exporting, quantizing, or running inference for a TAO SegFormer model. Trigger phrases include "train SegFormer", "semantic segmentation", "lightweight transformer segmenter", "real-time semantic segmentation".PlanificareFără avertismente★ 3,7 K↓ —
- nemotron-customizeNVIDIA/skillsPlan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoint conversion, ModelOpt optimization, env profiles, and evaluation of trained checkpoints or existing/hosted endpoints. Use when a request names a Nemotron step or workflow, or asks to clean, translate, train, fine-tune, align, convert, optimize, evaluate, or compose these into a pipeline. Do NOT use for frontend/dashboard/visualization work, generic ML advice, billing/access, or non-Nemotron coding tasks.DesignFără avertismente★ 3,7 K↓ —
- gsd:statsdavepoon/buildwithclaudeDisplay project statistics — phases, plans, requirements, git metrics, and timelinePlanificareFără avertismente★ 3,7 K↓ —
- tao-train-mask2formerNVIDIA/skillsMask2Former for universal image segmentation (panoptic, instance, and semantic). Transformer-based with masked attention for high-quality segmentation results. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Mask2Former model. Trigger phrases include "train Mask2Former", "universal segmentation", "panoptic / instance / semantic segmentation", "masked-attention transformer segmenter".MediaFără 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↓ —
- holoscan-install-wheelNVIDIA/skillsInstall Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.InginerieFără avertismente★ 3,7 K↓ —
- gsd:threaddavepoon/buildwithclaudeManage persistent context threads for cross-session workProductivitateFără avertismente★ 3,7 K↓ —
- nemo-rl-session-memoryNVIDIA/skillsManage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review.ProductivitateFără 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:updatedavepoon/buildwithclaudeUpdate GSD to latest version with changelog displayAlteleFără avertismente★ 3,7 K↓ —
- tao-train-grounding-dinoNVIDIA/skillsGrounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Grounding DINO model. Trigger phrases include "train Grounding DINO", "open-vocabulary detection", "text-prompted detector", "language-guided object detection".AlteleFără avertismente★ 3,7 K↓ —
- gsd:dodavepoon/buildwithclaudeRoute freeform text to the right GSD command automaticallyAlteleFără avertismente★ 3,7 K↓ —
- tao-train-deformable-detrNVIDIA/skillsDeformable DETR for 2D object detection. Uses deformable attention for efficient multi-scale feature processing, lighter than DINO with competitive accuracy. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Deformable-DETR model. Trigger phrases include "train deformable-detr", "Deformable DETR object detection", "lightweight DETR detector".AlteleFără avertismente★ 3,7 K↓ —
- gsd:insert-phasedavepoon/buildwithclaudeInsert urgent work as decimal phase (e.g., 72.1) between existing phasesAlteleFără avertismente★ 3,7 K↓ —
- gsd:join-discorddavepoon/buildwithclaudeJoin the GSD Discord communityAlteleFără avertismente★ 3,7 K↓ —
- gsd:map-codebasedavepoon/buildwithclaudeAnalyze codebase with parallel mapper agents to produce .planning/codebase/ documentsPlanificareFără avertismente★ 3,7 K↓ —
- gsd:profile-userdavepoon/buildwithclaudeGenerate developer behavioral profile and create Claude-discoverable artifactsAlteleFără avertismente★ 3,7 K↓ —
- gsd:remove-phasedavepoon/buildwithclaudeRemove a future phase from roadmap and renumber subsequent phasesPlanificareFără avertismente★ 3,7 K↓ —
- gsd:secure-phasedavepoon/buildwithclaudeRetroactively verify threat mitigations for a completed phaseAlteleFără avertismente★ 3,7 K↓ —
- tycanadavepoon/buildwithclaudePersistent task management and productivity intelligence via MCP. Captures tasks from conversation, plans your day, tracks patterns, and gives personalized recommendations that improve over time.PlanificareFără avertismente★ 3,7 K↓ —
- ops-godavepoon/buildwithclaudeToken-efficient morning briefing. Pre-gathers all data via shell scripts, then presents a unified business dashboard with prioritized actions.AlteleFără avertismente★ 3,7 K↓ —
- gsd:new-milestonedavepoon/buildwithclaudeStart a new milestone cycle — update PROJECT.md and route to requirementsPlanificareFără avertismente★ 3,7 K↓ —
- gsd:new-workspacedavepoon/buildwithclaudeCreate an isolated workspace with repo copies and independent .planning/PlanificareFără avertismente★ 3,7 K↓ —
golang-popular-libraries
samber/cc-skills-golang
De la autor
Golang library and framework selection — vetted production-ready options by category (web, database, testing, logging, messaging), new and experimental stdlib packages, standard-library-first tradeoffs, and maturity signals (maintenance, license, importer counts). Apply when the user asks for library suggestions, wants to compare alternatives, needs to choose a library for a specific task, or when a new dependency is being added to the project. Not for a specific library's API once chosen (→ See that library's dedicated skill, e.g. `samber/cc-skills-golang@golang-samber-lo`), nor for go.mod mechanics, upgrades, or vulnerability audits (→ See `samber/cc-skills-golang@golang-dependency-management` skill).
Instalare
npx skills add samber/cc-skills-golang --skill golang-popular-libraries -a claude-code
Se instalează în .claude/skills/golang-popular-libraries/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Fișiere (5)
- SKILL.md
- evals/evals.json
- references/libraries.md
- references/stdlib.md
- references/tools.md