Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
48,168 skills from 2,325 repositories · updated 15 hours ago
48,168 skills
- automate-memichael-denyer/pstack-claudeUse for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how the user works. Drafts or revises a personal -mode skill via plugin-dev:skill-development + unslop, optionally pulling fresh evidence from recent transcripts.OtherNo warnings★ 3.7K↓ —
- recapdavepoon/buildwithclaudeTriggered by "monthly recap", "how did I do this month", "spending summary", "financial review", "weekly recap", "quarterly review", "year in review"FinanceNo warnings★ 3.7K↓ —
- makeitsayNewdavepoon/buildwithclaudeChange or remove the words in a screenshot or photo with MakeItSay and keep the original font, colour and background. Use when the user wants to edit text in an image, fix a typo or price on a sign, menu, poster or UI screenshot, translate the lettering in a photo, or remove a line of text from an image. Needs a MakeItSay API key in MAKEITSAY_API_KEY.DesignNo warnings★ 3.7K↓ —
- gsd:importdavepoon/buildwithclaudeIngest external plans with conflict detection against project decisions before writing anything.WritingNo warnings★ 3.7K↓ —
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.EngineeringNo warnings★ 3.8K↓ —Also in 1 other repo
- 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.DesignNo warnings★ 3.8K↓ —
- brodavepoon/buildwithclaudeRe-explain the previous assistant message, or any text typed after the command, in a much simpler way. For when a reply made you go 'bro what'. Use /bro for a plain-language version of the last answer, or /bro <text> to simplify a pasted paragraph, error, email, or doc.ProductivityNo warnings★ 3.7K↓ —
- aeonforyourhealth111-pixel/Vibe-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.PlanningNo warnings★ 3.8K↓ —Also in 1 other repo
- ffmpeg-skillUpdatedkajisho5/ffmpeg-skillEdit video and audio with local FFmpeg from natural-language requests: cut, trim, join, resize/reframe (9:16, 1:1), speed change, captions and subtitles (SRT/ASS, animated, karaoke), logos and text overlays, lower-thirds and titles, silence removal, multicam and external-mic sync, loudness normalisation, HDR/Dolby Vision to SDR, LUTs, background music with ducking, platform exports (YouTube, Reels, TikTok, X), compliance checks, scene detection and highlight reels, contact sheets to inspect results, and whole-edit project files. Use this skill whenever the user mentions a video or audio file (mp4, mov, mkv, wav, m4a), footage, a clip, captions, subtitles, a reel or short, YouTube/Instagram/TikTok delivery, LUFS, sync, transcoding, ffmpeg, or asks to make something "60 seconds", "vertical", "louder", "captioned" — even when they do not say "edit". FFmpeg 6.1+ and Python 3.10+, stdlib only, no cloud, no API keys.MediaNo warnings★ 4.1K↓ —
- gsd:pr-branchdavepoon/buildwithclaudeCreate a clean PR branch by filtering out .planning/ commits — ready for code reviewPlanningNo warnings★ 3.7K↓ —
- score-evalneondatabase/agent-skillsAgent Skills for Neon Severless PostgresOfficialDataNo warnings★ 108↓ —
- gsd:spike-wrap-updavepoon/buildwithclaudePackage spike findings into a persistent project skill for future build conversationsOtherNo warnings★ 3.7K↓ —
- gsd:reviewdavepoon/buildwithclaudeRequest cross-AI peer review of phase plans from external AI CLIsEngineeringNo warnings★ 3.7K↓ —
- gsd:new-workspacedavepoon/buildwithclaudeCreate an isolated workspace with repo copies and independent .planning/PlanningNo warnings★ 3.7K↓ —
- gsd:undodavepoon/buildwithclaudeSafe git revert. Roll back phase or plan commits using the phase manifest with dependency checks.PlanningNo warnings★ 3.7K↓ —
- gsd:nextdavepoon/buildwithclaudeAutomatically advance to the next logical step in the GSD workflowProductivityNo warnings★ 3.7K↓ —
- 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".PlanningNo warnings★ 3.8K↓ —
- gsd:secure-phasedavepoon/buildwithclaudeRetroactively verify threat mitigations for a completed phaseOtherNo warnings★ 3.7K↓ —
- exa-cost-tuningjeremylongshore/tons-of-skills-marketplaceControl Exa spend through endpoint selection, bounded result and content work, per-key budgets, and response-derived cost evidence. Use when operating or reviewing this Exa boundary. Trigger with "Exa cost tuning", "review Exa cost tuning", or "fix Exa cost tuning".EngineeringNo warnings★ 2.9K↓ —
- doca-urom-svcNVIDIA/skillsOperate the DOCA UROM Service container on BlueField Arm for remote memory operations (puts, gets, atomics, collectives) enqueued by a paired host using `doca-urom`: pull the NGC image, choose the UCX component, size queues, configure Comch pairing, and align host and service versions. SECURITY: the service has no standalone access control; Comch pairing and RDMA permissions are the boundary. Pair only intended hosts, expose least-privilege memory regions, and verify both views before start. Trigger for slow UCX collectives, unexpected NOT_PERMITTED, or missing completions. Do not use for host application code, MPI/UCX integration design, or DOCA install.SecurityNo warnings★ 3.8K↓ —
- gsd:audit-milestonedavepoon/buildwithclaudeAudit milestone completion against original intent before archivingOtherNo warnings★ 3.7K↓ —
- ops-dashdavepoon/buildwithclaudeInteractive pixel-art command center dashboard. Visual business HQ with instant hotkey navigation to all ops commands, live status indicators, fire alerts, C-suite reports, settings, sharing, and FAQ.OtherNo warnings★ 3.7K↓ —
- ops-triagedavepoon/buildwithclaudeCross-platform issue triage. Pulls from Sentry (MCP), Linear (MCP), GitHub Issues (gh). Cross-references against code to find already-fixed issues. Auto-resolves fixed ones. Dispatches agents for active issues.EngineeringNo warnings★ 3.7K↓ —
- tao-train-rtdetrNVIDIA/skillsRT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".DevOpsNo warnings★ 3.8K↓ —
tao-run-on-slurm
NVIDIA/skills
OtherUpdated 2 days ago
From the author
Remote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".
Install
npx skills add NVIDIA/skills --skill tao-run-on-slurm -a claude-code
Installs to .claude/skills/tao-run-on-slurm/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (12)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/cosmos-slurm-guardrails.md
- references/detailed-guide.md
- references/skill_info.yaml
- references/slurm-container-execution.md
- references/slurm-preflight-storage.md
- references/slurm-ssh-credentials.md
- skill-card.md
- skill.oms.sig