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.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 4 ore
49.492 de skill-uri
- postgresql-development-cloudbaseActualizatTencentCloudBase/CloudBase-AI-ToolkitUse when building, debugging, or evaluating CloudBase PostgreSQL / CloudBase PG / PG mode apps, including Postgres schema setup, queryPgDatabase/managePgDatabase, JS SDK v3 app.rdb() CRUD/RPC, PG HTTP API fallback, RLS-style permissions, username-password auth, and Web CMS/admin CRUD flows backed by CloudBase PG.DateFără avertismente★ 1,2 K↓ —Apare și în 4 alte depozite
- htmx-js-apihashgraph-online/awesome-codex-pluginsUse the htmx JavaScript API for imperative integration in server-rendered apps. Use when calling htmx.ajax, htmx.process, htmx.trigger, htmx.on, htmx.off, htmx.onLoad, htmx.find, htmx.findAll, htmx.closest, htmx.addClass, htmx.removeClass, htmx.toggleClass, htmx.takeClass, configuring htmx.config, logging htmx events, or integrating non-htmx JavaScript with swapped content.InginerieFără avertismente★ 1,5 K↓ —
- cloudbase-code-reviewActualizatTencentCloudBase/CloudBase-AI-ToolkitCode review and validation for CloudBase projects. After writing code for Web / miniprogram / CloudRun / cloud-function projects, call this skill to check for known pitfalls — auth guard misuse, missing database tables, RLS misconfiguration, storage domain setup, and SDK API misuse. Supports automated lint scripts (regex-based) + LLM semantic review.InginerieFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- teamhashgraph-online/awesome-codex-pluginsOrg-level agent team designer via `epic team` CLI (cross-project, append-merge). Subcommands: list, show, sync, link, unlink, history. Use when setting up agents, designing teams, or /spec yields 3+ requirements.PlanificareFără avertismente★ 1,5 K↓ —
- product-discoveryalirezarezvani/claude-skillsValidate product ideas: map assumptions, plan discovery sprints, test problem-solution fit. Use whenever the user asks if an idea is worth building.TestareFără avertismente★ 29,3 K↓ —
- product-analyticsalirezarezvani/claude-skillsUse when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.DateFără avertismente★ 29,3 K↓ —
- weekly-reviewnano-muse/nanoMusenanoMuse: an open-source personal agent for every device you own. One agent with a name and a look of its own that does things, keeps working while the app is closed, remembers you, and asks before anything you cannot undo. On Android, iPhone and iPad, Windows / macOS / Linux and in the browser; your phone's screen and your computer as its hands.InginerieFără avertismente★ 3,2 K↓ —
- code-revieweralirezarezvani/claude-skillsUse for any code review: a pull request, a diff, a commit, or a pasted function, handler or file in TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#/.NET, Java, C, C++, Rust, Ruby, PHP or Dart/Flutter. Applies per-language rule packs (security such as SQL injection and missing auth, async and resource handling, error handling, performance) and scripts that score a PR's risk and complexity, then gives a merge verdict with blocking and non-blocking findings. Use whenever the user asks to review, check or look over code, says 'code review', 'review this PR', 'review this diff' or 'is this safe to merge', or asks what is wrong with a snippet, even a single function.InginerieFără avertismente★ 29,3 K↓ —
- inithashgraph-online/awesome-codex-pluginsInitialize team config for a project. Creates .agenteam/config.yaml (or legacy agenteam.yaml) and generates .codex/agents/*.toml.AlteleFără avertismente★ 1,5 K↓ —
- ecommerce-video-adsNouhashgraph-online/awesome-codex-pluginsEcommerce video ad skills for Claude Code and AI agents: plans and makes short product videos that sell on TikTok, TikTok Shop, Instagram Reels and Meta ads, with AI or real footage. Asks the four questions that change the rules (where it runs, product facts, assets, budget), picks angle, hook, format and on-camera character, writes a second-by-second script, keeps the real product identical in AI shots, applies platform rules (AI labels, TikTok Shop bans on AI voices, slideshows and price mentions, the FTC fake-testimonial rule, music licensing), quotes cost before generating and plans different-concept variants. Use when someone wants a viral TikTok, Reels or TikTok Shop video for a product, ecommerce ad creatives or "10 ads for my product". Hands off to product-video-hooks, tiktok-shop-video, ai-ugc-ad-video, product-photo-to-video, ad-creative-testing and ecommerce-video-edit. NOT for app launch videos, music videos or brand films with nothing to sell.MediaFără avertismente★ 1,5 K↓ —
- tddhashgraph-online/awesome-codex-pluginsUse when implementing or fixing production code with tests.TestareFără avertismente★ 1,5 K↓ —
- parallelhashgraph-online/awesome-codex-pluginsBuild a planned game with several agents at once — game logic and netcode, levels, art, sound, the landing page — each in its own folders, then one merge, a two-browser check, a playtest and a blind review. Use only when parallel work is requested and the host supports it. Use after the plan step, or when someone asks to "build it in parallel", "use more agents", "split the work" or "go faster".DesignFără avertismente★ 1,5 K↓ —
- apple-designhashgraph-online/awesome-codex-pluginsUse when the user asks for SwiftUI, UIKit, AppKit, iOS, iPadOS, macOS, watchOS, visionOS, Liquid Glass, HIG, SF Symbols, App Store deliverables, Apple settings/forms, branded Apple apps, React Native iOS, Flutter Cupertino, or Electron/Tauri macOS shells. Builds Apple-platform apps across system-like SwiftUI, branded SwiftUI, React Native, Flutter Cupertino, and desktop web shells while preserving UX decisions, native idiom, desktop archetype, originality seed, state coverage, Dynamic Type, accessibility, and HIG/Liquid Glass rules. ALWAYS ask which track first. SKIP when the target is only Android, Windows, or web-in-browser.DesignFără avertismente★ 1,5 K↓ —
- brooks-sweepActualizathyhmrright/brooks-lintFull-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user wants to "fix everything", "sweep the codebase", "auto-fix all issues", "clean up the whole project", or asks for a single command that both diagnoses and remediates quality problems. Do NOT trigger for: read-only audits or health reports where the user only wants findings without code changes; single-dimension reviews (use the focused skill instead: brooks-review / brooks-audit / brooks-debt / brooks-test); server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime.TestareFără avertismente★ 1,6 K↓ —
- oma-dbfirst-fluke/oh-my-agentDesign schemas and migrations, tune queries, or plan vector retrieval and database operations. Application API implementation uses oma-backend.DateFără avertismente★ 1,4 K↓ —
- brooks-auditActualizathyhmrright/brooks-lintArchitecture audit that maps module dependencies, checks layering integrity, and flags structural decay across a codebase, drawing on twelve classic engineering books. Triggers when: user asks to audit architecture, review folder/module structure, check for circular imports, understand how the codebase is organized, or asks "does this follow clean architecture?" or "why does everything depend on everything?". Also triggers for onboarding requests: "explain this codebase to a new developer" or "give me a codebase tour" (use onboarding mode). Do NOT trigger for: PR-level code review (use brooks-review) or line-level refactoring questions — this skill analyzes structural/module-level concerns, not individual functions.PlanificareFără avertismente★ 1,6 K↓ —
- fixing-flaky-testsamplifthq/openmeldGuides an agent through reproducing, root-causing, fixing, and validating flaky tests in the PostHog monorepo. Use when a test fails intermittently in CI but passes on rerun or locally, when `hogli ci:insights` or the debugging-ci-failures skill classifies a failure as a flaky test, when given a GitHub Actions URL for a flaky job, when asked to check Trunk Flaky Tests for a test, PR, or master, or when asked to deflake, stabilize, or fix a flaky Jest, pytest, or Playwright test. Core discipline: reproduce locally before changing anything, fix the root cause (never mask it with sleeps, retries, or bigger timeouts), and prove the fix with an N-run validation loop sized to the observed failure rate. Stabilizing is not the only valid outcome — the skill also gates whether the test should exist, so deleting a test that catches nothing real, or re-leveling one that flakes because of the level it runs at, are first-class endings.TestareFără avertismente★ 1,4 K↓ —
- brooks-testActualizathyhmrright/brooks-lintTest quality review drawing on twelve classic engineering books — with primary focus on xUnit Test Patterns, The Art of Unit Testing, How Google Tests Software, and Working Effectively with Legacy Code — that diagnoses structural problems in an existing test suite: brittleness, mock abuse, coverage illusions, slow execution, poor readability. Triggers when: user asks about test quality, shares test files for review, or expresses frustration: "tests keep breaking whenever I change anything", "our tests take forever", "tests pass but bugs still reach production", or "we have too many mocks". Do NOT trigger for: writing new tests from scratch (use the regular test-writing workflow) or testing framework/syntax questions — this skill reviews an existing suite for structural quality problems, not individual test authoring.TestareFără avertismente★ 1,6 K↓ —
- brooks-debtActualizathyhmrright/brooks-lintTech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. Triggers when: user asks about tech debt, refactoring priorities, what to clean up first, or asks "why is this so hard to change?", "what should we fix first?", or "how do I justify refactoring to management?". Do NOT trigger for: server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime — "health" in those contexts is infrastructure, not code quality. Also not for single-function refactoring questions.DevOpsFără avertismente★ 1,6 K↓ —
- brooks-reviewActualizathyhmrright/brooks-lintPR code review that surfaces decay risks, design smells, and maintainability issues with concrete Symptom → Source → Consequence → Remedy findings, drawing on twelve classic engineering books. Triggers when: user asks to review code, check a PR, shares a diff or pastes code asking "does this look right?" / "any issues here?" / "ready to merge?", or asks for feedback on a function, class, or file. Also triggers when user mentions: code smells / refactoring / clean architecture / DDD / SOLID principles / Hyrum's Law / deep modules / tactical programming / conceptual integrity / Brooks's Law / Mythical Man-Month / second system effect. Do NOT trigger for: questions about how to write code from scratch, language syntax questions, or framework/tool questions where no existing code is shared.InginerieFără avertismente★ 1,6 K↓ —
- searchtaishi-i/awesome-japanese-nlp-resourcesSearch all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.AlteleFără avertismente★ 1 K↓ —
- verification-before-completionGanyuanRan/AegisUse when about to claim work is complete, fixed, passing, verified, release-ready, or ready to commit, merge, publish, or hand off.InginerieFără avertismente★ 1,4 K↓ —
- establishing-project-contextGanyuanRan/AegisUse when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.ProductivitateFără avertismente★ 1,4 K↓ —
- subagent-driven-developmentGanyuanRan/AegisUse when executing a written implementation plan with independent tasks in the current session where delegation beats inline coordination cost; otherwise inline. Ad-hoc 2+ tasks without a plan use dispatching-parallel-agents.MarketingFără avertismente★ 1,4 K↓ —
seo-strategy
kostja94/marketing-skills
MarketingActualizat acum 12 ore
De la autor
When the user wants to plan SEO strategy, prioritize SEO work, or understand the SEO workflow. Also use when the user mentions "SEO strategy," "SEO plan," "SEO roadmap," "SEO priority," "SEO audit," "SEO workflow," "where to start SEO," "SEO approach," "organic growth strategy," "why SEO," "SEO value," or "search strategy." For technical/crawl audit execution, use seo-audit. For keyword research, use keyword-research. For AI search visibility, use generative-engine-optimization.
Instalare
npx skills add kostja94/marketing-skills --skill seo-strategy -a claude-code
Se instalează în .claude/skills/seo-strategy/ · 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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