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 14 ore
47.966 de skill-uri
- security-researchcode-yeongyu/oh-my-openagentTeam Mode security research skill. Orchestrates 3 vulnerability hunters and 2 PoC engineers to audit a codebase in parallel, prove exploitability, classify root causes, and calibrate severity by actual exploitability. Use for security review, vulnerability research, exploitability audit, pre-release security check, threat model validation, and `/security-research`. Triggers: 'security-research', 'security research', 'security review', 'vulnerability audit', 'exploitability audit', '보안 리뷰', '취약점 감사'.SecuritateFără avertismente★ 70,5 K↓ —
- pi-history-ingestAr9av/obsidian-wikiIngest Pi coding-agent session history into Obsidian as distilled knowledge. Use for importing or mining ~/.pi/agent/sessions or Pi conversation logs; use wiki-agent for targeted topic-only recall.InginerieFără avertismente★ 3,6 K↓ —
- hive.terminal-tools-pty-sessionsaden-hive/hiveUse when you need state across calls — building env vars, navigating with cd, driving REPLs (python -i, mysql, psql, node), or responding to interactive prompts (sudo password, ssh host-key confirmation, mysql connection). Teaches the prompt-sentinel exec pattern (default mode), raw I/O for REPLs (raw_send=True then read_only=True), the one-in-flight-per-session rule, and the close-or-leak-against-the-cap discipline. Bash on macOS — never zsh; explicit shell=/bin/zsh is rejected. Read before calling terminal_pty_open.DateFără avertismente★ 11,1 K↓ —
- regression-hunttrailofbits/skillsUse when investigating regressions in PRs or commits, coordinating a regression campaign, or resuming saved progress.FinanțeFără avertismente★ 7,9 K↓ —
- impl-validatorAr9av/obsidian-wikiIndependently check whether an implementation matches its stated goal and return PASS/WARN/FAIL with actionable issues. Use for second-opinion validation of an implementation or generated output.AlteleFără avertismente★ 3,6 K↓ —
- 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.InginerieFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- send-experiment-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "design an email A/B test", "set up a multivariate subject/CTA test", "run a send-time test", "build a hold-out group", or "is this email result statistically and practically material?"; produces a falsifiable hypothesis, one-variable-per-cell matrix, sample-size/MDE/duration/power plan, and an effect/uncertainty read from own ESP data. Applies only a precommitted owner-approved action rule; the helper never chooses a business action. Not for EQS/vetoes or writing the email. 邮件AB测试设计/多变量测试/发送时间测试/留出组/显著性判定TestareFără avertismente★ 3 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★ 3,8 K↓ —
- castai-hello-worldjeremylongshore/tons-of-skills-marketplaceRun a safe first CAST AI cluster connection that proves Cost Monitoring and agent health before enabling optimization. Use when starting a new evaluation, sandbox, or operator walkthrough. Trigger with: "CAST AI hello world", "try CAST AI safely", "connect my first CAST AI cluster".AlteleFără avertismente★ 2,9 K↓ —
- architectbacknotprop/pstackSketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.PlanificareFără avertismente★ 3,2 K↓ —
- i4h-workflow-e2eNVIDIA/skillsRun the maintained workflow data-to-policy pipeline from recording through checkpoint validation. Use for full end-to-end requests; do not use for one individual stage.TestareFără avertismente★ 3,8 K↓ —
- qwen21-nsfw-pose-skillArekejoker/qwen21-nsfw-pose-skillQwen-Image 2.1 NSFW/姿势出图 skill：作者级提示词配方 + NSFW LoRA + 136 姿势 VNCCS 人偶控制；适用 Claude Code / Codex / Cursor / OpenClawMediaFără avertismente★ 3,8 K↓ —
- skill-xhs-publisherZJU-REAL/Easel将图文/视频内容发布到小红书（XHS）。基于 Playwright + 持久化登录态，headless 即可运行， 流程与选择器移植自成熟开源实现 xiaohongshu-mcp（含发布成功校验、上传完成等待、话题联想绑定、 新旧发布按钮兼容、反检测）。适用场景：发布图文笔记、发布视频、扫码登录、发布前预检。TestareFără avertismente★ 4,2 K↓ —
- gh-clitrailofbits/skillsEnforces authenticated gh CLI workflows over unauthenticated curl, WebFetch, and MCP fetch patterns. Use when working with GitHub URLs, API access, pull requests, or issues.InginerieFără avertismente★ 7,9 K↓ —
- video-strategyZJU-REAL/Easel视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景。 当用户说"视频怎么做""视频选型""用什么工具做视频""视频制作流程""视频策略""视频系列规划"时使用。 和 video-script 的区别：video-strategy 做内容规划与工具选型，video-script 写具体某条视频的脚本。MediaFără avertismente★ 4,2 K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DateFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- cdf-anomalygenNVIDIA/skillsUse when running the CDF AnomalyGen pipeline over a defect dataset — mask placement, fine-tuning, synthetic defect-image generation (SDG), evaluation, quality refinement, and pseudo-labeling — even when the user names only one stage.MediaFără avertismente★ 3,8 K↓ —
- skill-my-accountZJU-REAL/Easel查询用户自己在 Easel 已登录的小红书、抖音、快手、知乎和视频号身份、粉丝、获赞、关注及作品列表。 当用户问“我登录了哪些号、我是谁、我的粉丝/获赞、我最近发了什么、我有哪些帖子”时，先用本 SKILL 查本地登录态，不要先向用户索要账号名或链接。 某条帖子的评论抓取与分析分别用 skill-xhs-comment-reply 和 skill-comment-insights。AlteleFără avertismente★ 4,2 K↓ —
- nemo-relay-get-startedNVIDIA/skillsUse this skill when first-time NeMo Relay users want help selecting and following an appropriate quick-start guide or verifying their first working integration. Do not use it for production rollout or broad integration development.AlteleFără avertismente★ 3,8 K↓ —
- searchtaishi-i/awesome-ChatGPT-repositoriesSearch 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.AlteleFără avertismente★ 3,3 K↓ —
- vercel-automationdavepoon/buildwithclaudeAutomate Vercel tasks via Rube MCP (Composio): manage deployments, domains, DNS, env vars, projects, and teams. Always search tools first for current schemas.DevOpsFără avertismente★ 3,7 K↓ —
- cdf-auto-labelingNVIDIA/skillsUse when a user needs to get started with CDF Auto-Labeling, plan a scenario, run or debug a shipped cookbook, author prompts or cookbooks, migrate a pipeline, configure a stage, or pull the prebuilt stage containers from NGC (nvcr.io). Confirm critical inputs (data path, output path, endpoints) and ask when any are missing. This is a router: read the matching reference instead of inventing a workflow.PlanificareFără avertismente★ 3,8 K↓ —
- get-pr-commentsmichael-denyer/pstack-claudeFetch and summarize review comments from the active pull requestInginerieFără avertismente★ 3,7 K↓ —
- automate-mebacknotprop/pstackUse 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 create-skill + unslop, optionally pulling fresh evidence from recent transcripts.AlteleFără avertismente★ 3,2 K↓ —
doca-common
NVIDIA/skills
ProductivitateActualizat ieri
De la autor
Use this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and needs the foundation primitives every per-library context rests on — walking the doca_ctx lifecycle, discovering doca_dev / doca_devinfo and gating on doca_*_cap_* before trusting a feature, wiring doca_mmap / doca_buf_inventory / doca_buf for zero-copy I/O across libraries, driving doca_pe for completions, or DOCA Log's two-tier (--sdk-log-level vs app-side) model. Trigger even when the user does not say "DOCA Common" — typical implicit phrasings include "my tasks submit but nothing completes", "DOCA_ERROR_BAD_STATE from doca_ctx_start", "--sdk-log-level does nothing for my DOCA_LOG_DBG lines", "share a buf between doca_dma and doca_rdma", or "crashes far from the offending line". Refuse and route elsewhere for per-library questions in isolation (load doca-flow / doca-rdma / doca-eth alongside), installing DOCA (doca-setup), or doc lookup (doca-public-knowledge-map).
Instalare
npx skills add NVIDIA/skills --skill doca-common -a claude-code
Se instalează în .claude/skills/doca-common/ · 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 (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig