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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 1 oră
47.966 de skill-uri
- adobe-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement service-specific Adobe admission control, Retry-After handling, bounded retries, and spend-aware queues. Use when scaling workloads or handling 429 responses. Trigger with "Adobe rate limit", "Adobe 429", or "Adobe backoff".PlanificareFără avertismente★ 2,9 K↓ —
- uctm-initdavepoon/buildwithclaudeInitialize uc-taskmanager for the current project. Creates works/ directory and configures Bash permissions in .claude/settings.local.json. Use when the user says "uctm init", "initialize uctm", "uctm 초기화", or "초기화".AlteleFără avertismente★ 3,7 K↓ —
- wrike-automationdavepoon/buildwithclaudeAutomate Wrike project management via Rube MCP (Composio): create tasks/folders, manage projects, assign work, and track progress. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- 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.InginerieFără avertismente★ 3,7 K↓ —
- speckit-taskstoissuesforyourhealth111-pixel/Vibe-SkillsConvert tasks from tasks.md into GitHub issues. Use after task breakdown to track work items in GitHub project management.PlanificareFără avertismente★ 3,8 K↓ —
- gmail-automationdavepoon/buildwithclaudeAutomate Gmail tasks via Rube MCP (Composio): send/reply, search, labels, drafts, attachments. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- validate-pluginjeremylongshore/tons-of-skills-marketplaceValidate a Claude Code plugin directory against the official Anthropic spec and Intent Solutions enterprise standard. Runs structural validation (plugin.json fields, file references, permissions) and content validation (SKILL.md grading, command/agent frontmatter). Use when building a new plugin, preparing for marketplace submission, or auditing existing plugins. Trigger with "validate this plugin", "check plugin structure", "grade my plugin", "/validate-plugin".PlanificareFără avertismente★ 2,9 K↓ —
- vulndavepoon/buildwithclaudeLook up a vulnerability by ID or list all vulnerabilities for a packageSecuritateFără avertismente★ 3,7 K↓ —
- canva-automationdavepoon/buildwithclaudeAutomate Canva tasks via Rube MCP (Composio): designs, exports, folders, brand templates, autofill. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- sepiaNanako0129/sepiaMake AI-generated writing read as human-written, in fiction and in professional prose. Repairs the narrative architecture of fiction and stories (based on StoryScope, arXiv:2604.03136); routes professional text through domain rules for release notes, announcements, PR and issue replies, code-review comments, incident postmortems, tickets, work orders, technical articles, blog posts, and long-form journalism. Four operations - write, review (diagnose AI tells without editing), refactor (minimal in-place edits), recreate (full rewrite). Use when asked to humanize, de-AI, unslop, or strip AI flavor from any text; when writing or revising any of these document types; or whenever output must not read as machine-written.ȘtiințăFără avertismente★ 3,6 K↓ —
- hatch-petnexu-io/open-designCreate, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual references. Use when a user wants to hatch a Codex pet, create a custom animated pet, or build a built-in pet asset with an 8x9 atlas, transparent unused cells, row-by-row animation prompts, QA contact sheets, preview videos, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.TestareFără avertismente★ 105 K↓ —
- technical-analystjeremylongshore/tons-of-skills-marketplaceTechnical analysis translator for Product Managers. Use when the user needs to analyze a system, codebase, API, or technical concept in PM-friendly terms. Trigger with "understand system", "explain code", "technical analysis", "how does X work", or "what does this service do".InginerieFără avertismente★ 2,9 K↓ —
- coreActualizatvercel-labs/agent-browserCore agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.OficialTestareFără avertismente★ 44,9 K↓ —
- zoom-automationdavepoon/buildwithclaudeAutomate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.AlteleFără avertismente★ 3,7 K↓ —
- resemble-detectdavepoon/buildwithclaudeDeepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AIMediaFără avertismente★ 3,7 K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks for a specificationPlanificareFără avertismente★ 3,7 K↓ —
- doca-perftestNouNVIDIA/skillsUse this skill when the user is running DOCA Perftest (doca_perftest), the RDMA benchmark that measures bandwidth, message rate and latency for RDMA verbs, point-to-point or across a cluster, with an optional DOCA Verbs backend (-r dv) or GPUNetIO engine (--engine gpunetio). Trigger even when the user does not say "DOCA Perftest" — implicit phrasings include "how do I benchmark RDMA write bandwidth with DOCA", "run ib_write_bw but across 8 nodes", "perftest says the device is busy", "my latency numbers differ between client and server", "launch the server over SSH", or "run an all-to-all RDMA test from a JSON scenario". Refuse and route elsewhere for DOCA install (doca-setup), DOCA Bench (doca-bench), and application-level throughput.TestareFără avertismente★ 3,8 K↓ —
- kiro-steeringgotalab/cc-sddMaintain {{KIRO_DIR}}/steering/ as persistent project memory (bootstrap/sync). Use when initializing or updating steering documents.ProductivitateFără avertismente★ 3,7 K↓ —
- kiro-verify-completiongotalab/cc-sddVerify completion and success claims with fresh evidence. Use before claiming a task is complete, a fix works, tests pass, or a feature is ready for GO.TestareFără avertismente★ 3,7 K↓ —
- mcore-testingNVIDIA/skillsTest system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.TestareFără avertismente★ 3,8 K↓ —
- kiro-steering-customgotalab/cc-sddCreate custom steering documents for specialized project contextsPlanificareFără avertismente★ 3,7 K↓ —
- exa-rate-limitsjeremylongshore/tons-of-skills-marketplaceBudget Exa throughput per endpoint and distinguish caller rate limiting from vendor overload and billing exhaustion. Use when operating or reviewing this Exa boundary. Trigger with "Exa rate limits", "review Exa rate limits", or "fix Exa rate limits".InginerieFără avertismente★ 2,9 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★ 3,8 K↓ —
- hex-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Hex example. Use when starting a new Hex integration, testing your setup, or learning basic Hex API patterns. Trigger with phrases like "hex hello world", "hex example", "hex quick start", "simple hex code".TestareFără avertismente★ 2,9 K↓ —
tao-train-dino
NVIDIA/skills
De la autor
DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".
Instalare
npx skills add NVIDIA/skills --skill tao-train-dino -a claude-code
Se instalează în .claude/skills/tao-train-dino/ · 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 (31)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/detailed-guide.md
- references/dino-actions-errors.md
- references/dino-data-specs.md
- references/dino-tuning-multigpu.md
- references/skill_info.yaml
- references/spec_template_deploy_evaluate.yaml
- references/spec_template_deploy_gen_trt_engine.yaml
- references/spec_template_deploy_inference.yaml
- încă 19