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.
46.700 de skill-uri din 2.243 de depozite · actualizat acum 12 ore
46.700 de skill-uri
- ramp-sdk-patternsjeremylongshore/tons-of-skills-marketplaceBuild a small typed Ramp Developer API adapter with secure token management, pagination, structured errors, rate control, idempotency, and schema drift checks. Use when replacing scattered raw requests in application code. Trigger with "Ramp API client" or "Ramp SDK patterns".InginerieFără avertismente★ 2,9 K↓ —
- ux-writingplugin87/ux-ui-agent-skillsWrite or review UI copy (buttons, errors, empty states, microcopy, notifications, labels) using the voice & tone system (clear, concise, useful, human, honest) with the what→why→how error formula and inclusive-language rules. Use when the user needs interface copy, error messages, empty-state text, or a copy review.DesignFără avertismente★ 3 K↓ —
- usfiscaldataforyourhealth111-pixel/Vibe-SkillsQuery the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.FinanțeFără avertismente★ 3,8 K↓ —
- tao-train-single-stepNVIDIA/skillsStandard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.PlanificareFără avertismente★ 3,8 K↓ —
- j-rigjeremylongshore/tons-of-skills-marketplaceSkill Refiner, the eval-guided improvement loop for SKILL.md files. Runs the bootstrap, score, propose, apply, and status cycle as a thin wrapper over the published @intentsolutions/refiner CLI, proposing safe, minimal, bounded SKILL.md edits and accepting an edit only when a held-out eval score strictly improves with no regression on any other case. Ships a 3-layer cost-tiered hook architecture (sinker, line, hook) that gates skill quality at edit time, end of turn, and commit time. Use when improving an existing skill, refining a SKILL.md against measured behavior, bootstrapping an eval set for a skill, or gating skill edits before they ship. Trigger with "/j-rig", "refine this skill", "bootstrap an eval set", "propose a skill edit", "promote the candidate", or "skill refiner status".RedactareFără avertismente★ 2,9 K↓ —
- veida-imageNoudavepoon/buildwithclaudeGenerate an image from a text prompt with no API key, no account and no cost, using the free anonymous tier of Veida (veida.ai). Use when the user asks for a picture, an illustration, a blog cover, a mockup or an avatar and no image provider is configured. Two HTTP calls; returns a hosted image URL.MediaFără avertismente★ 3,7 K↓ —
- kiro-implgotalab/cc-sddImplement approved tasks using TDD with subagent dispatch. Runs all pending tasks autonomously or selected tasks manually.TestareFără avertismente★ 3,7 K↓ —
- navan-data-syncjeremylongshore/tons-of-skills-marketplaceSynchronize Navan booking, expense, identity, and file-delivered data according to each documented source contract. Use when building durable ETL or correcting sync drift. Trigger with "Navan data sync", "Navan ETL", or "reconcile Navan feeds".DateFără avertismente★ 2,9 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
- mcore-run-on-slurmNVIDIA/skillsHow to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.AlteleFără avertismente★ 3,8 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↓ —
- yt-researchjeremylongshore/tons-of-skills-marketplaceResearch competitor YouTube channels, niches, and trending topics for your content strategy. Use this skill whenever the user says "research channels", "analyze competitors", "find trending topics", "niche analysis", "competitive research", "what are other creators doing", "scrape YouTube channels", or wants to understand the competitive landscape for a specific tool or topic area. Use when working with yt research. Trigger with 'yt', 'research'.ȘtiințăFără avertismente★ 2,9 K↓ —
- thermo-nuclear-code-quality-reviewmichael-denyer/pstack-claudeRun an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.InginerieFără avertismente★ 3,5 K↓ —
- ops-deploydavepoon/buildwithclaudeDeploy status across all projects. Shows ECS service versions, Vercel deployments, recent deploys, pending deploys, and CI/CD pipeline state.DevOpsFără 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↓ —
- golang-modernizesamber/cc-skills-golangModernize Golang code to use recent language features, standard library improvements, and idiomatic patterns. Use when reviewing Go code with old-style patterns, when encountering a deprecation warning, or when the user asks for modernization, a Go version upgrade (e.g. to Go 1.27), or a CI/tooling refresh. Not for structural refactors, extracting functions, or moving code between packages (→ See `samber/cc-skills-golang@golang-refactoring` skill).InginerieFără avertismente★ 3,7 K↓ —
- request-progressNouthedotmack/claude-memGroup recent conversations into overall requests, review each one's progress from memory, link each to the owner goals it serves, and write the build story, so My Work shows progress meters, shipping velocity and learned working preferences. Use when asked to "group requests", "group by overall request", "review request progress", "refresh progress", "build story", "shipping velocity", or "how do I like to work with agents".RedactareFără avertismente★ 103,6 K↓ —
- architecturedavepoon/buildwithclaudeArchitecture design skill with ADR records, system design checklists, scalability assessment, and architecture patternsPlanificareFără avertismente★ 3,7 K↓ —
- golang-samber-hotsamber/cc-skills-golangIn-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports github.com/samber/hot, or when the project repeatedly loads the same medium-to-low cardinality resources at high frequency and needs to reduce latency or backend pressure.ProductivitateFără avertismente★ 3,7 K↓ —
- seabornforyourhealth111-pixel/Vibe-SkillsStatistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.AlteleFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- scientific-data-preprocessingforyourhealth111-pixel/Vibe-Skills⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.ȘtiințăFără avertismente★ 3,8 K↓ —
- fintel-datahimself65/finance-skillsQuery Fintel (fintel.io) institutional market data through its REST API or official MCP server. Use this skill whenever the user mentions Fintel or asks about short interest, short interest ratio or days to cover, short squeeze data, borrow rate or cost to borrow, shares available to borrow, daily short volume, fails-to-deliver (FTD), 13F institutional owners ("who owns X"), insider buying or selling from SEC Form 3/4/5, analyst price targets, ratings and forecasts, dividend or earnings history and calendars, EOD or last prices, security lookup by ticker, CUSIP, ISIN, or FIGI, Fintel leaderboards, or their Fintel watchlists and alerts. Read-only: GET endpoints only.SecuritateFără avertismente★ 3,5 K↓ —
- brief-generatoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "create an influencer brief" or "write a campaign brief"; produces a structured creator brief with deliverables, key messages, creative direction, timeline, disclosure rules, and compensation terms. Not for choosing how to split spend across creators — use budget-optimizer. 达人合作简报/创作者BFMarketingFără avertismente★ 3 K↓ —
- plotlyforyourhealth111-pixel/Vibe-SkillsInteractive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).DocumenteFără avertismente★ 3,8 K↓ —Apare și în 2 alte depozite
wiki-dedup
Ar9av/obsidian-wiki
AlteleActualizat acum 20 de ore
De la autor
Detect and merge wiki pages representing the same concept under different names. Use for page-identity deduplication and consolidation. Destructive merges require confirmation; not for link repair or general linting.
Instalare
npx skills add Ar9av/obsidian-wiki --skill wiki-dedup -a claude-code
Se instalează în .claude/skills/wiki-dedup/ · 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
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (1)
- SKILL.md