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.
47.307 skill-uri din 2.272 de depozite · actualizat acum 14 ore
47.307 skill-uri
- company-valuationhimself65/finance-skillsEstimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory.FinanțeFără avertismente★ 3,5 K↓ —
- onboardwesammustafa/Claude-Code-Everything-You-Need-to-KnowExplains this repository's shared Claude Code setup to a new teammate, covering what is committed and shared, what stays personal, and what the team-kit plugin adds. Use when someone asks how the team's Claude Code setup works or what they get by cloning the repository.InginerieFără avertismente★ 3,5 K↓ —
- navan-hello-worldjeremylongshore/tons-of-skills-marketplaceProve one contracted Navan integration can authenticate and return a bounded read-only response without inventing a universal API. Use when completing access intake. Trigger with "test Navan access", "first Navan read", or "Navan connectivity proof".TestareFără avertismente★ 2,9 K↓ —
- instrument-data-to-allotropeanthropics/knowledge-work-pluginsConvert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.OficialDateFără avertismente★ 33,5 K↓ —
- performance-testingforyourhealth111-pixel/Vibe-SkillsBenchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.TestareFără avertismente★ 3,8 K↓ —
- awesome-chatgpttaishi-i/awesome-ChatGPT-repositoriesSearch this repository's awesome-ChatGPT-repositories list for open-source ChatGPT and LLM projects such as RAG frameworks, agents, chatbots, CLIs, prompts, and browser extensions. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, or AI development; not for editing or adding list entries.BrowserFără avertismente★ 3,3 K↓ —
- solve-challengeljagiello/ctf-skillsSolves CTF challenges by performing first-pass triage, identifying the dominant category, and routing execution to the right specialized ctf-* skill. Use when the user gives you a challenge bundle, a remote service, a suspicious file, or only a vague challenge description and you must determine where to start. Do not use it when the category is already clear and a specialized skill can be invoked directly; this is the dispatcher and recon entrypoint, not the deepest reference for category-specific techniques.PlanificareFără avertismente★ 3,6 K↓ —
- tao-train-codetrNVIDIA/skillsCo-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model. Trigger phrases include "train Co-DETR", "run CoDINO", "codetr inference", "collaborative DETR", "autolabel detections with Co-DETR".AlteleFără avertismente★ 3,8 K↓ —
- tao-train-dinov3NVIDIA/skillsDINOv3 continual self-supervised pre-training. Domain-adapts public DINOv3 ViT backbones on unlabeled images via teacher-student self-distillation (DINO + iBOT + KoLeo, optional Gram anchoring) and converts the EMA teacher into a timm-format backbone for downstream tasks. Trigger phrases include "train DINOv3", "DINOv3 SSL", "domain-adapt a foundation backbone", "continual pretraining", "self-supervised finetune DINOv3".ProductivitateFără avertismente★ 3,8 K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanificareFără avertismente★ 3,7 K↓ —
- adobe-cost-tuningjeremylongshore/tons-of-skills-marketplaceReduce Adobe integration spend using contract, invoice, usage, queue, storage, and retry evidence instead of invented per-call prices. Use when the task requires adobe workload cost and waste review. Trigger with "reduce Adobe cost", "Adobe spend review", or "PDF transaction budget".DocumenteFără avertismente★ 2,9 K↓ —
- skill-lookupforyourhealth111-pixel/Vibe-SkillsActivates when the user asks about Agent Skills, wants to find reusable AI capabilities, needs to install skills, or mentions skills for Claude. Use for discovering, retrieving, and installing skills.AlteleFără avertismente★ 3,8 K↓ —
- gh-dashjeremylongshore/tons-of-skills-marketplaceProvides a GitHub pull request dashboard directly in the terminal. Use when the user wants to view PR status, check CI/CD progress, review bot comments, or merge pull requests without leaving Claude Code. Trigger with phrases like "show PR dashboard", "PR status", "check CI progress", "merge this PR", or "review pull request".DevOpsFără avertismente★ 2,9 K↓ —
- tao-run-inference-serviceNVIDIA/skillsStart, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.DevOpsFără avertismente★ 3,8 K↓ —
- offensive-data-exfiltrationSnailSploit/Claude-RedDense methodology covering DNS exfiltration (dnscat2, iodine, dns2tcp), HTTPS tunneling (domain fronting, CDN abuse, legitimate service channels), ICMP tunneling (icmpsh, ptunnel-ng), cloud storage dead drops (S3 presigned URLs, Azure Blob SAS tokens, GCS signed URLs), email-based exfil (SMTP, EWS, draft method), steganography (image, audio, document metadata), encoding/encryption (base64 chunking, XOR, AES), covert channels (custom protocol tunneling, HTTP header encoding, timing channels), and data staging (compression, splitting, encryption). Tools: dnscat2, iodine, dns2tcp, PacketWhisper, chisel, stunnel, icmpsh, ptunnel-ng, steghide, zsteg, OpenStego. MITRE ATT&CK: T1048 (Exfiltration Over Alternative Protocol), T1041 (Exfiltration Over C2 Channel), T1567 (Exfiltration Over Web Service), T1029 (Scheduled Transfer), T1030 (Data Transfer Size Limits), T1132 (Data Encoding), T1001 (Data Obfuscation). Use when planning or executing data exfiltration during authorized red team engagements or post-exploitationDevOpsFără avertismente★ 9,7 K↓ —
- property-based-testingforyourhealth111-pixel/Vibe-SkillsProperty-based testing with fast-check (TypeScript/JavaScript) and Hypothesis (Python). Generate test cases automatically, find edge cases, and test mathematical properties. Use when user mentions property-based testing, fast-check, Hypothesis, generating test data, QuickCheck-style testing, or finding edge cases automatically.TestareFără avertismente★ 3,8 K↓ —
- nemotron-retrieval-recipesNVIDIA/skillsUse when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.DevOpsFără avertismente★ 3,8 K↓ —
- designing-experimentsforyourhealth111-pixel/Vibe-SkillsDesign experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or regression discontinuity fits the research question. For fitting models or estimating effects on existing data, use performing-causal-analysis instead.DesignFără avertismente★ 3,8 K↓ —
- yt-briefjeremylongshore/tons-of-skills-marketplaceRefine a YouTube video idea into a structured production brief with angle, key points, value proposition, CTA asset, and audience segment. Use this skill whenever the user says "create a brief", "brief this idea", "develop this idea", "write a video brief", "production brief", or has selected a video idea from ideation and wants to define the angle and structure before packaging and outlining. Use when working with yt brief. Trigger with 'yt', 'brief'.MediaFără avertismente★ 2,9 K↓ —
- nemo-relay-installNVIDIA/skillsUse this skill when choosing or running NeMo Relay installation for an agent runtime, application language, framework integration, or plugin bundle, or checking a runtime's native Relay readiness. Do not use it for first-run instrumentation or export configuration.AlteleFără avertismente★ 3,8 K↓ —
- checkdavepoon/buildwithclaudeRun CIAgent regression checks after changing an AI agent's code, prompts, or knowledge base in a repo that has agentci_spec.yaml, and interpret the results. Use after editing agent logic, before committing agent changes, or when the user asks whether the agent still works.RedactareFără avertismente★ 3,7 K↓ —
- kiro-reviewgotalab/cc-sddReview a task implementation against approved specs, task boundaries, and verification evidence. Use after an implementer finishes a task, after remediation, or before accepting a task as complete.InginerieFără avertismente★ 3,7 K↓ —
- principle-encode-lessons-in-structuremichael-denyer/pstack-claudeApply when you catch yourself writing the same instruction a second time, or notice a recurring correction. Encode the rule as a lint, metadata flag, runtime check, or script instead of more text.RedactareFără avertismente★ 3,6 K↓ —
- gsd:inteldavepoon/buildwithclaudeQuery, inspect, or refresh codebase intelligence files in .planning/intel/PlanificareFără avertismente★ 3,7 K↓ —
rag-eval
NVIDIA/skills
AlteleActualizat ieri
De la autor
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.
Instalare
npx skills add NVIDIA/skills --skill rag-eval -a claude-code
Se instalează în .claude/skills/rag-eval/ · 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
Doar instrucțiuniNu am văzut acces la rețeaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (10)
- BENCHMARK.md
- SKILL.md
- eval/h100.json
- eval/nvidia_hosted.json
- references/benchmark-execution.md
- references/dataset-and-conversion.md
- references/evaluate-rag-cli.md
- references/result-analysis.md
- skill-card.md
- skill.oms.sig