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.
45.100 de skill-uri din 2.196 de depozite · actualizat acum 2 ore
45.100 de skill-uri
- vercel-load-scalejeremylongshore/tons-of-skills-marketplaceLoad test and scale Vercel deployments with concurrency tuning and capacity planning. Use when running performance tests, planning for traffic spikes, or optimizing serverless function scaling on Vercel. Trigger with phrases like "vercel load test", "vercel scale", "vercel performance test", "vercel capacity", "vercel benchmark".TestareFără avertismente★ 2,9 K↓ —
- nvshmem-tune-performanceNVIDIA/skillsRoute NVSHMEM tuning to data collection, remote transport, NIC-to-PE mapping, or TMA. Do not use for unrelated CUDA, NCCL, or application tuning.AlteleFără avertismente★ 3,7 K↓ —
- stakeholder-updatejeremylongshore/tons-of-skills-marketplaceCreate and review stakeholder status updates, progress reports, and executive summaries. Use when the user needs to write concise upward communication. Trigger with "stakeholder update", "status update", "progress report", "update leadership", "weekly update", or "executive summary".RedactareFără avertismente★ 2,9 K↓ —
- figma-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Figma API usage to minimize costs and stay within plan limits. Use when analyzing request volumes, reducing unnecessary API calls, or choosing the right Figma plan for your integration needs. Trigger with phrases like "figma cost", "figma pricing", "reduce figma API calls", "figma plan limits", "figma budget".DesignFără avertismente★ 2,9 K↓ —
- physicsnemo-discoverNVIDIA/skillsOfficial NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment setup, training-loop or other code authoring/scaffolding, contributor/CI/packaging questions, repo-specific questions in physicsnemo-sym/-cfd/-curator, or general (non-physics) ML/PyTorch.ȘtiințăFără avertismente★ 3,7 K↓ —
- etf-premiumhimself65/finance-skillsCalculate an ETF's premium or discount to NAV from Yahoo Finance data (yfinance), compare or screen ETFs by premium, explain why a gap exists, and decompose a sudden ETF move into NAV-driven vs structural components (dealer gamma exposure, blocked AP arbitrage, sentiment). Use this skill whenever the user asks whether an ETF trades above or below NAV, compares ETF premiums or discounts, screens for the biggest ones, asks about ETF arbitrage or premium convergence, or wants to know why an ETF jumped or diverged from its holdings — including gamma squeezes, dealer gamma exposure (GEX), and blocked creation/redemption. Especially relevant for leveraged, inverse, international, bond, commodity, and crypto ETFs (IBIT, BITO, HYG, KWEB).FinanțeFără avertismente★ 3,5 K↓ —
- solana-vulnerability-scannertrailofbits/skillsScans Solana programs for 6 critical vulnerabilities including arbitrary CPI, improper PDA validation, missing signer/ownership checks, and sysvar spoofing. Use when auditing Solana/Anchor programs.SecuritateFără avertismente★ 7,8 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★ 33,1 K↓ —
- gsd:scandavepoon/buildwithclaudeRapid codebase assessment — lightweight alternative to /gsd:map-codebaseAlteleFără avertismente★ 3,7 K↓ —
- offensive-krack-fragattacksSnailSploit/Claude-RedKRACK (CVE-2017-13077..082) and FragAttacks (CVE-2020-24586..588 + 26139-26147) — key reinstallation, fragmentation, and aggregation attacks against WPA2 supplicants. Covers Vanhoef's test scripts, viability against modern patched stacks (mostly mitigated post-2021), residual unpatched embedded devices and IoT vendors, and the practical limitations of these attacks in modern engagements. Use when assessing legacy supplicants, embedded clients, or vendors with poor patch cadence.SecuritateFără avertismente★ 9,3 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★ 3,7 K↓ —
- recalldavepoon/buildwithclaudeSearch Origin's local memory by query. Targeted lookup, not orientation. Invoked as `/recall <query>`. Use when the user asks "do you remember", "what do you know about", "look up".ProductivitateFără avertismente★ 3,7 K↓ —
- vulndavepoon/buildwithclaudeLook up a vulnerability by ID or list all vulnerabilities for a packageSecuritateFără avertismente★ 3,7 K↓ —
- finta-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Finta diagnostic information for support. Trigger with phrases like "finta debug", "finta support".InginerieFără avertismente★ 2,9 K↓ —
- narrative-enablement-kitaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "make everyone tell the same story", "write our elevator pitch ladder", or "build a spokesperson Q&A and approved boilerplate pack"; derives from the narrative-registry canon, message house, and brand voice a repeatable enablement kit — an elevator ladder (10-second / 30-second / 2-minute), a spokesperson Q&A (tough questions with on-canon answers), an approved boilerplate/bio pack (25 / 50 / 100-word), and a do/don't language sheet — so sales, support, founders, and partners repeat one consistent story. Not for the launch-day runbook — use launch-day-conductor; not for finished per-channel copy — use content-writer or each discipline creative builder; not for launch-window battle cards — use sales-enablement-kit; this kit never adjudicates a claim. 叙事赋能包/电梯梯度/发言人问答/审定样板/该说不该说RedactareFără avertismente★ 3 K↓ —
- opsdavepoon/buildwithclaudeBusiness operations command center. Routes to the right ops command based on what you need — briefing, inbox, fires, projects, comms, triage, linear, revenue, deploy, or yolo mode.DevOpsFără avertismente★ 3,7 K↓ —
- gsd:plan-phasedavepoon/buildwithclaudeCreate detailed phase plan (PLAN.md) with verification loopPlanificareFără avertismente★ 3,7 K↓ —
- gsd:plant-seeddavepoon/buildwithclaudeCapture a forward-looking idea with trigger conditions — surfaces automatically at the right milestonePlanificareFără avertismente★ 3,7 K↓ —
- capturedavepoon/buildwithclaudeSave a memory to Origin in flow. Active capture verb — use proactively when the user states a preference, makes a decision, corrects you, or shares a durable fact. Invoked as `/capture <content>`.ProductivitateFără avertismente★ 3,7 K↓ —
- gsd:pause-workdavepoon/buildwithclaudeCreate context handoff when pausing work mid-phaseProductivitateFără avertismente★ 3,7 K↓ —
- closedavepoon/buildwithclaudeCommit the session to durable vault memory and prepare a clean resume pointInginerieFără avertismente★ 3,7 K↓ —
- earnings-recaphimself65/finance-skillsAnalyze a company's most recent (or a specified past) earnings report from Yahoo Finance data (yfinance): actual vs estimated EPS, surprise size, revenue and margin trends, and the stock's price reaction. Use this skill whenever the user asks how earnings went — beat or miss, earnings surprise, quarterly results, the post-earnings move, or an earnings call recap — including casual references to a past report such as "AMZN reported last night" or "how did they do". For an upcoming report, use earnings-preview.FinanțeFără avertismente★ 3,5 K↓ —
- nikadavepoon/buildwithclaudeRuns repeatable AI work as checked, budgeted workflow files. The agent captures a repeated task as a .nika.yaml DAG, audits cost/permits/schema before a single token is spent, and runs it with tamper-evident traces.ProductivitateFără avertismente★ 3,7 K↓ —
- distilldavepoon/buildwithclaudeSynthesize wiki pages from related memories. One endpoint, one flow: daemon clusters and synthesizes what it can; agent finishes whatever the daemon couldn't (no LLM or cluster too big). Invoked as `/distill [target]`.AlteleFără avertismente★ 3,7 K↓ —
performance-testing
foryourhealth111-pixel/Vibe-Skills
TestareActualizat acum 15 ore
De la autor
Benchmark 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.
Instalare
npx skills add foryourhealth111-pixel/Vibe-Skills --skill performance-testing -a claude-code
Se instalează în .claude/skills/performance-testing/ · 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 (2)
- SKILL.md
- references/benchmark-patterns.md