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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 10 ore
48.168 de skill-uri
- anima-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Anima API costs through caching, incremental generation, and tier selection. Use when managing Anima API usage, reducing unnecessary code generations, or right-sizing your Anima plan for team size. Trigger with: "anima cost", "anima pricing", "anima budget", "anima API usage".PlanificareFără avertismente★ 2,9 K↓ —
- figma-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Figma REST API rate limits with exponential backoff and request queuing. Use when encountering 429 errors, implementing retry logic, or optimizing API request throughput for Figma. Trigger with phrases like "figma rate limit", "figma throttling", "figma 429", "figma retry", "figma backoff".DesignFără avertismente★ 2,9 K↓ —
- nvflare-orientNVIDIA/skillsRoute open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete conversion request before selecting its detected framework converter.MarketingFără avertismente★ 3,8 K↓ —
- nvshmem-get-startedNVIDIA/skillsUse when NVSHMEM beginners want a tutorial-style overview on assessment, mental models, first C/C++ or Python NVSHMEM programs, compilation, launching, and next steps.InginerieFără avertismente★ 3,8 K↓ —
- wiki-digestAr9av/obsidian-wikiProduce a day/week/month knowledge digest summarizing what was learned, updated, and connected in the wiki. Use for readable recent-learning summaries; wiki-status reports source and ingestion state instead.ProductivitateFără avertismente★ 3,6 K↓ —
- firebase-ai-logic-basicsfirebase/agent-skillsIntegrates Firebase AI Logic (formerly Vertex AI for Firebase) into mobile and web apps (Android, iOS, Web, and Flutter) to call Gemini models from client code. Use when provisioning or initializing Firebase AI Logic, or adding Gemini features to an app: text generation, multimodal input, chat, streaming, structured output, hybrid on-device inference, App Check protection, or switching models with Remote Config.OficialInginerieFără avertismente★ 495↓ —
- sales-enablement-kitaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build battle cards", "prep the sales team for launch", or "write the internal launch FAQ"; produces the internal enablement kit for a sales-led launch — battle cards vs each named alternative (where we win / where they win / trap questions, every fact traceable), a sales talk track derived from the PR-FAQ spine, an objection-handling table (objection → response → evidence), internal FAQ + CS macros, and an internal launch announcement with embargo discipline. Not for the external message house — use message-house-builder; not for competitor tracking itself — use competitor-tracker or competitor-analysis; not for outbound sequences — use cold-outbound-sequencer. 销售赋能/battle card/销售叙事/异议处理/内部FAQRedactareFără avertismente★ 3 K↓ —
- unmergeNoudavepoon/buildwithclaudeSplit a flat image (PNG, JPG or WebP) into separate transparent PNG layers with Unmerge, with the hidden parts behind objects filled in. Use when the user wants to separate an image into layers, pull a subject or text off its background as its own layer, make an editable layered version of a poster, illustration or screenshot, or "unflatten" an image. Needs an Unmerge API key in UNMERGE_API_KEY.MediaFără avertismente★ 3,7 K↓ —
- message-house-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build a message house", "write a PR-FAQ for our launch", or "define the launch narrative and value pillars"; derives from the positioning canvas a message house — tagline, one-liner, three value pillars, per-persona proof points (each labeled Measured / User-provided / [needs source]) — plus a working-backwards PR-FAQ narrative spine (launch-day tense, empty-chair test, five external + five internal FAQs) and per-channel message angle packs (angles, not finished copy). Not for the positioning canvas itself — use positioning-mapper; not for finished blog posts or pages — use content-writer; not for ad or email units — use each discipline creative builder; not for claim adjudication — use offer-claims-registry. 消息屋/PR-FAQ/价值支柱/发布叙事TestareFără avertismente★ 3 K↓ —
- wycheprooftrailofbits/skillsValidates cryptographic implementations against Project Wycheproof's test vectors, which encode known attacks and edge cases across AES, RSA, ECDSA, ECDH, and more. Covers loading test vectors, mapping result flags onto pass and fail expectations, and reading a failure. Use when testing a crypto implementation against known attacks, checking a library against standard test vectors, or investigating why two implementations disagree on the same input.TestareFără avertismente★ 7,9 K↓ —
- paid-ads-chatgptnowork-studio/notfair-pluginPlan and review ChatGPT Ads experiments without assuming ad inventory, account access, or platform capabilities. Use for ChatGPT advertising, OpenAI ads, conversational ad concepts, ChatGPT campaign plans, or performance reviews from a verified export.MarketingFără avertismente★ 4,1 K↓ —
- audio-denoiseZJU-REAL/Easel音频降噪：去除录音中的背景噪声、电流声、风噪、嗡嗡声，基于 ffmpeg 滤镜链（afftdn/highpass/lowpass）。 当用户说"降噪""去噪""去杂音""消除背景噪声""电流声""风噪""录音有杂音""音频降噪"时使用。 和 audio-editing 的区别：audio-editing 做剪辑/转码/音量等通用音频操作（内置 denoise 兜底），本 SKILL 专做降噪调参。MediaFără avertismente★ 4,2 K↓ —
- code-slice-heroheygen-com/hyperframesA tiled headline surface flips cell by cell under a sweeping depth field to reveal the rear headline. HyperFrames block, 1920×1080, 8s, 18 variables.OficialInginerieFără avertismente★ 76,3 K↓ —
- principle-model-the-domainmichael-denyer/pstack-claudeApply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.RedactareFără avertismente★ 3,7 K↓ —
- reasoningjeremylongshore/tons-of-skills-marketplaceUse BEFORE answering analytical, diagnostic, planning, or multi-step reasoning questions. Trigger phrases include "should I X or Y", "why is X happening", "what's the best approach", "what are the tradeoffs", "help me think through", "diagnose", "root cause", "plan/design X", "what are the implications of", "compare these approaches". Also fires on cross-domain analysis, strategy questions, architecture decisions, or anything requiring multiple factors to be weighed before responding. The skill calls the reasoning MCP tool to retrieve a cognitive scaffold (named failure pattern, executable procedure, suppression vectors, falsification test) the model absorbs internally before generating its response. Catches causal shortcuts, premature conclusions, generic templates, and surface pattern matching that produce confidently-wrong answers. Do NOT trigger for simple factual lookups, syntax questions, file reads, code execution, or restating the user's input.TestareFără avertismente★ 2,9 K↓ —
- validate-skillmdjeremylongshore/tons-of-skills-marketplaceValidate and grade SKILL.md files with the marketplace rubric, static production checks, and optional J-Rig behavioral evidence. Use when creating a skill, checking quality, preparing a marketplace submission, or reviewing evaluation results. Trigger with "validate this skill", "grade my skill", "deep eval", "check SKILL.md", or "/validate-skillmd".AlteleFără avertismente★ 2,9 K↓ —
- replay-regressiontrailofbits/skillsUse when independently verifying a supplied PoC against fresh live before/after deployments.DevOpsFără avertismente★ 7,9 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★ 3,8 K↓ —
- audience-belief-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map what our buyers believe", "capture the objections we keep hearing", or "find the switching forces that move the beachhead"; produces a belief map of the beachhead — held beliefs and mental models, the recurring objections and their reframes, and the JTBD four forces (push of the problem, pull of the new, anxiety of switching, habit of the present) — each item sourced from interviews or win-loss notes (User-provided) and labeled Measured / User-provided / Estimated, with any unverified quote or comparative claim marked "[needs source]" and routed to the claims candidates, never adjudicated here. Not for demographic or persona profiling — use audience-mapper; not for the positioning canvas — use positioning-truth-tracer. 受众信念/异议地图/切换四力/流失语言PlanificareFără avertismente★ 3 K↓ —
- provider-ephemeral-resourceshashicorp/agent-skillsImplement Terraform provider ephemeral resources with the Plugin Framework: the Open/Renew/Close lifecycle, ephemeral schema design, registration via EphemeralResources, renewal for expiring credentials, and how ephemeral values flow into write-only attributes and provider configuration. Use when adding an ephemeral resource, exposing secrets/tokens/certificates that must never persist in state or plan, deciding between an ephemeral resource and a data source, or wiring short-lived credentials from one provider into another.OficialDevOpsFără avertismente★ 910↓ —
- impeccableActualizatpbakaus/impeccableUse when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.DesignFără avertismente★ 97,8 K↓ —
- jetson-customize-usbNVIDIA/skillsEnable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.RedactareFără avertismente★ 3,8 K↓ —
- push-to-registryhashicorp/agent-skillsPush Packer build metadata to HCP Packer registry for tracking and managing image lifecycle. Use when integrating Packer builds with HCP Packer for version control and governance.OficialMediaFără avertismente★ 910↓ —
- tao-train-oneformerNVIDIA/skillsOneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Use when training, evaluating, exporting, quantizing, or running inference for a TAO OneFormer model. Trigger phrases include "train OneFormer", "universal segmentation", "task-conditioned segmentation", "panoptic / instance / semantic in one model".MediaFără avertismente★ 3,8 K↓ —
tao-train-rtdetr
NVIDIA/skills
DevOpsActualizat ieri
De la autor
RT-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".
Instalare
npx skills add NVIDIA/skills --skill tao-train-rtdetr -a claude-code
Se instalează în .claude/skills/tao-train-rtdetr/ · 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 (25)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_deploy_evaluate.yaml
- references/spec_template_deploy_gen_trt_engine.yaml
- references/spec_template_deploy_inference.yaml
- references/spec_template_distill.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_export.yaml
- references/spec_template_inference.yaml
- încă 13