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
- coda-automationdavepoon/buildwithclaudeAutomate Coda tasks via Rube MCP (Composio): manage docs, pages, tables, rows, formulas, permissions, and publishing. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- writing-plansforyourhealth111-pixel/Vibe-SkillsUse when you have a spec or requirements for a multi-step task, before touching codeRedactareFără avertismente★ 3,8 K↓ —
- principle-exhaust-the-design-spacemichael-denyer/pstack-claudeApply when facing a novel UI interaction or architectural decision with no precedent in the codebase. Build 2-3 competing prototypes and compare side by side before committing.DesignFără 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↓ —
- short-drama-storyboardzenstory-ai/drama-skills把中文短剧剧本和视觉设定写成有戏剧职责、连续性边界与冻结关键帧提示词的分镜 Markdown。用户提出“拆分镜/设计镜头/做镜头表”“场次视觉计划/调度故事板”“比较导演方案”“写首帧/关键帧提示词”或检查轴线、站位、视线、持物连续性时使用；不生成媒体。AlteleFără avertismente★ 3,6 K↓ —Apare și în 1 alt depozit
- typescript-best-practicesbacknotprop/pstackTypeScript best practices. Use when reading or editing any .ts or .tsx file.InginerieFără avertismente★ 3,2 K↓ —
- clerk-install-authjeremylongshore/tons-of-skills-marketplaceInstall and configure Clerk SDK/CLI authentication. Use when setting up a new Clerk integration, configuring API keys, or initializing Clerk in your project. Trigger with phrases like "install clerk", "setup clerk", "clerk auth", "configure clerk API key", "add clerk to project".InginerieFără avertismente★ 2,9 K↓ —
- doca-bare-metal-deploymentNVIDIA/skillsRunning a DOCA-linked binary directly on the hardware, with no container or kubelet: on host x86 with a BlueField NIC over PCIe, or bare-metal on BlueField Arm. Use this skill for launching and supervising it (direct, tmux, systemd), and when it "exits 1 right after launch", "systemd keeps restarting it", reports "no matching device on the BF", or the BlueField itself is unhealthy: "bfb-install exited 0 but DPU is dead", "ping 192.168.100.2 works but ssh fails", "host PFs aren't showing netdevs". Refuse service containers under kubelet (doca-container-deployment). Covers PCI/NUMA/CPU/IRQ binding, co-tenant isolation (cgroup-v2/netns/numactl), a seven-layer error taxonomy, platform lifecycle (BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery) and a six-state BlueField lifecycle classifier. Destructive firmware burn / mlxconfig set requires explicit confirmation via doca-hardware-safety; library APIs, env prep, and build use other skills.DevOpsFără avertismente★ 3,8 K↓ —
- benchmark-checklistmichael-denyer/pstack-claudeVet a perf measurement (limiter, tuning, limits, errors, repeatability, relevance, and whether the work happened) before you report or act on it. Use when you run a benchmark or report a speedup or regression you measured.AlteleFără avertismente★ 3,7 K↓ —
- narrative-drift-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "check if our surfaces have drifted from the canon", "watch for competitor repositioning", or "define when we should reposition"; produces a drift report — self-drift per flagship surface vs the narrative-registry canon over time (via wayback.py, change history Measured with as-of dates), competitor-repositioning alerts, an explicit repositioning-trigger condition set, and a D1/W1/M1 message-shift retro (intended vs actual pull-through, evidence-labeled) — feeding the TALE L drift-audit sub-items and the narrative-whiplash guardrail fact base. Not for the first-time consistency check before a surface ships — use narrative-cascade-planner; not for computing the TALE profile result or running the vetoes — use narrative-quality-auditor; not for echo-rate / AI-answer resonance measurement — use narrative-resonance-monitor. 自漂移监测/竞品重定位告警/重定位触发/叙事漂移复盘PlanificareFără avertismente★ 3 K↓ —
- slides-as-codeforyourhealth111-pixel/Vibe-SkillsBuild research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations.DocumenteFără avertismente★ 3,8 K↓ —
- swarmmichael-denyer/pstack-claudeFan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.AlteleFără avertismente★ 3,7 K↓ —
- networkxforyourhealth111-pixel/Vibe-SkillsComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.ȘtiințăFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- LQF_Machine_Learning_Expert_Guideforyourhealth111-pixel/Vibe-SkillsLQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.InginerieFără avertismente★ 3,8 K↓ —
- clade-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Anthropic API costs — model selection, prompt caching, batches, Use when working with cost-tuning patterns. token reduction, and usage monitoring. Trigger with "anthropic pricing", "claude cost", "reduce anthropic spend", "anthropic billing", "claude cheaper".InginerieFără avertismente★ 2,9 K↓ —
- fondo-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Fondo costs by maximizing R&D tax credits, choosing the right plan, and reducing unnecessary bookkeeping complexity. Trigger: "fondo costs", "fondo pricing", "maximize R&D credit", "fondo ROI".FinanțeFără avertismente★ 2,9 K↓ —
- scikit-survivalforyourhealth111-pixel/Vibe-SkillsComprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.InginerieFără avertismente★ 3,8 K↓ —
- transformersforyourhealth111-pixel/Vibe-SkillsThis skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.MediaFără avertismente★ 3,8 K↓ —
- exa-known-pitfallsjeremylongshore/tons-of-skills-marketplaceAudit an Exa integration for stale search types, unsafe secrets, ignored partial failures, unbounded content work, weak citations, and orphaned asynchronous resources. Use when operating or reviewing this Exa boundary. Trigger with "Exa known pitfalls", "review Exa known pitfalls", or "fix Exa known pitfalls".InginerieFără avertismente★ 2,9 K↓ —
- principle-separate-before-serializing-shared-statebacknotprop/pstackApply when concurrent actors might write to the same file, branch, key, or state object. Eliminate the sharing first; serialize structurally only when one shared writer is a real invariant.RedactareFără avertismente★ 3,2 K↓ —Apare și în 2 alte depozite
- x-twitter-scraperdavepoon/buildwithclaudeX (Twitter) data extraction and monitoring via Xquik: tweet search, user lookup, follower extraction, giveaway draws, trending topics, account monitoring with webhooks, reply/retweet/quote extraction, community and Space data, follow checks. 22 MCP tools + REST API.BrowserFără avertismente★ 3,7 K↓ —
- work-with-prcode-yeongyu/oh-my-openagentFull PR lifecycle in a fresh task-owned git worktree: implement via the ulw-loop skill with mandatory evidence-bound manual QA → reviewer-readable English PR → verification loop (CI + Cubic, where Cubic is skipped only when its quota is exhausted) → merge by default → worktree cleanup. Decomposes one task into the smallest atomic, independently-mergeable PRs and builds the independent ones concurrently via one worktree per PR driven by parallel subagents or a team. Unbounded loop: any failing gate sends you back to fix-and-re-QA inside that PR's worktree. Use whenever implementation work needs to land as a PR. Triggers: 'create a PR', 'implement and PR', 'work on this and make a PR', 'implement issue', 'land this as a PR', 'split into atomic PRs', 'parallel PRs', 'work-with-pr', 'PR workflow', 'implement end to end', even when user just says 'implement X' if the context implies PR delivery.TestareFără avertismente★ 70,5 K↓ —Apare și în 1 alt depozit
- libfuzzertrailofbits/skillsSets up and runs libFuzzer, the coverage-guided fuzzer built into LLVM, on C/C++ code that compiles with Clang. Covers harness structure, -fsanitize=fuzzer builds, corpus and dictionary management, sanitizer integration, and campaign triage. Use when writing or debugging an LLVMFuzzerTestOneInput harness, starting fuzzing on a C/C++ library, choosing between libFuzzer and AFL++, or working out why a libFuzzer run finds nothing.MarketingFără avertismente★ 7,9 K↓ —
- scikit-bioforyourhealth111-pixel/Vibe-SkillsBiological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.ȘtiințăFără avertismente★ 3,8 K↓ —
gsd:audit-uat
davepoon/buildwithclaude
AlteleActualizat ieri
De la autor
Cross-phase audit of all outstanding UAT and verification items
Instalare
npx skills add davepoon/buildwithclaude --skill gsd:audit-uat -a claude-code
Se instalează în .claude/skills/gsd-audit-uat/ · 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: MIT
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De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (1)
- SKILL.md