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 5 ore
45.100 de skill-uri
- 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↓ —
- 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★ 4,1 K↓ —
- cc-sdd-new-agentgotalab/cc-sddAdd or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end. Use when introducing a new agent, adding a subagent-capable variant, or evaluating migration of an existing supported agent to skills-based templates.InginerieFără avertismente★ 3,7 K↓ —
- golang-code-stylesamber/cc-skills-golangGolang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golang@golang-naming` skill), linter configuration (→ See `samber/cc-skills-golang@golang-lint` skill), or doc comments (→ See `samber/cc-skills-golang@golang-documentation` skill).InginerieFără avertismente★ 3,7 K↓ —
- golang-spf13-cobrasamber/cc-skills-golangGolang CLI command tree library using spf13/cobra — cobra.Command, RunE vs Run, PersistentPreRunE hook chain, Args validators (NoArgs, ExactArgs, MatchAll, custom), persistent vs local flags, command groups, ValidArgsFunction, RegisterFlagCompletionFunc, ShellCompDirective, usage/help template customization, man-page and markdown doc generation, and testing with SetArgs/SetOut/SetErr. Apply when using or adopting spf13/cobra, or when the codebase imports `github.com/spf13/cobra`. For configuration layering alongside cobra, see the `samber/cc-skills-golang@golang-spf13-viper` skill. For general CLI architecture (project layout, exit codes, signal handling, I/O patterns), see `samber/cc-skills-golang@golang-cli`.TestareFără avertismente★ 3,7 K↓ —
- anima-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement rate limiting for Anima API code generation requests. Use when batching component generation, handling rate limit errors, or optimizing API throughput for large design systems. Trigger with: "anima rate limit", "anima throttling", "anima batch generation".DesignFără avertismente★ 2,9 K↓ —
- prisma-postgres-setupprisma/skillsObtain or reuse a Prisma Postgres database and connect an application. Use when the user needs a database and has none configured ("I need a database", "add a Postgres database", "set up a database for this app"), runs or mentions `create-db` or `npx create-db`, or asks to set up or connect Prisma Postgres, including in v0 and the Vercel Marketplace. Hands Prisma ORM configuration to prisma-orm-setup; reuses an existing connection first and honors an explicit provider, driver, alternative ORM, or database-only choice.OficialDateFără avertismente★ 76↓ —
- narrative-registryaaron-he-zhu/aaron-marketing-skillsUse when the user asks to record/query the brand narrative canon, tagline, message hierarchy, voice/naming rules, or a canon re-version; curates complete versioned canon events through the append-only narrative stream and derived views. Not for TALE scoring — use narrative-quality-auditor; not for authoring the system — use message-system-architect. 品牌叙事台账/canon 记录/语气与命名规范PlanificareFără avertismente★ 3 K↓ —
- tao-train-grounding-dinoNVIDIA/skillsGrounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Grounding DINO model. Trigger phrases include "train Grounding DINO", "open-vocabulary detection", "text-prompted detector", "language-guided object detection".AlteleFără avertismente★ 3,7 K↓ —
- share-of-voice-trackeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "track our share of voice", "what share of the conversation do we own vs competitors", or "trend our SOV this quarter"; computes SOV% = brand mentions ÷ (brand + competitor panel mentions) per platform per period on a LOCKED competitor panel — a panel switch invalidates the trend (restart the series and log the break; the ECHO O3 rule) — plus a sentiment-weighted SOV variant (sentiment labeled Estimated unless human-coded) and a Wikipedia-pageviews attention-share alternative; built from keyless listening connectors, gdelt.py news echo, and user exports — public counts only, closed platforms are never scraped. Not for backlink or offsite SEO signals — use offsite-signal-analyzer. 声量份额/竞品声量对比/提及份额/注意力份额BrowserFără avertismente★ 3 K↓ —
- memoryjeremylongshore/tons-of-skills-marketplaceUse when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data). Memory harness is filter/perception oriented; calling on write-heavy tasks produces scaffold paralysis.ProductivitateFără avertismente★ 2,9 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★ 3,7 K↓ —
- webflow-automationdavepoon/buildwithclaudeAutomate Webflow CMS collections, site publishing, page management, asset uploads, and ecommerce orders via Rube MCP (Composio). Always search tools first for current schemas.AlteleFără avertismente★ 3,7 K↓ —
- morning-aidavepoon/buildwithclaudeAI news tracking skill that monitors 80+ entities across 6 free sources (Reddit, HN, GitHub, HuggingFace, arXiv, X/Twitter). Generates scored daily reports with infographics and message digests. Invoke via /morning-ai.ȘtiințăFără avertismente★ 3,7 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↓ —
- trailmarktrailofbits/skillsBuilds and queries multi-language source and binary code graphs for security analysis. Includes pre-analysis passes for blast radius, taint propagation, privilege boundaries, entry point enumeration, proxy/unresolved-call tracking, type/reference queries, structural traversal, graph diffs, audit augmentation, declared cross-language/FFI/external links via `.trailmark/links.toml`, and SQL schema graphs. Use when analyzing call paths, mapping attack surface, finding complexity hotspots, enumerating entry points, tracing taint propagation, measuring blast radius, importing SARIF/weAudit/binary findings, linking source graphs across language or RPC boundaries, or building a code graph for audit prioritization. Feature-gate version-specific Trailmark APIs before using them; prefer `trailmark.parse.detect_languages()` or `--language auto` when the target language is unknown or polyglot.SecuritateFără avertismente★ 7,8 K↓ —
- cleanup-codejeremylongshore/tons-of-skills-marketplaceComprehensive codebase cleanup across 11 quality dimensions: dead code, duplication, weak types, circular deps, defensive cruft, legacy code, AI slop, type consolidation, security, performance, and async patterns. Analyzes code with confidence scoring and verifies changes with build/test gates. Use when codebase has accumulated tech debt, after major feature work, before releases, or when code quality metrics are declining. Trigger with "/cleanup-code-code", "clean up the codebase", "remove dead code", "fix code quality".InginerieFără avertismente★ 2,9 K↓ —
- prowler-docsforyourhealth111-pixel/Vibe-SkillsProwler documentation style guide and writing standards. Trigger: When writing documentation for Prowler features, tutorials, or guides.RedactareFără avertismente★ 3,8 K↓ —
- tao-train-oneformerNVIDIA/skillsOneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Use when training, evaluating, exporting, quantizing, or running inference for a TAO OneFormer model. Trigger phrases include "train OneFormer", "universal segmentation", "task-conditioned segmentation", "panoptic / instance / semantic in one model".MediaFără avertismente★ 3,7 K↓ —
- gsd:map-codebasedavepoon/buildwithclaudeAnalyze codebase with parallel mapper agents to produce .planning/codebase/ documentsPlanificareFără avertismente★ 3,7 K↓ —
- anth-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Anthropic Claude API costs with model routing, prompt caching, batching, and spend monitoring. Use when analyzing Claude API billing, reducing costs, or implementing cost controls and budget alerts. Trigger with phrases like "anthropic cost", "claude billing", "reduce claude spend", "anthropic budget", "claude pricing optimize".InginerieFără avertismente★ 2,9 K↓ —
- offensive-cicd-secretsSnailSploit/Claude-RedComprehensive secrets extraction methodology targeting CI/CD environments across all major platforms. Covers environment variable extraction from build contexts, exploitation of vault and secrets-manager misconfigurations (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, GCP Secret Manager), runner and agent token abuse for lateral movement, OIDC federation attacks exploiting trust relationships between CI/CD providers and cloud platforms, build log leakage analysis for inadvertently exposed credentials, cache poisoning techniques for credential exfiltration, platform-specific credential store exploitation (GitHub Actions secrets, GitLab CI variables, Jenkins credential providers), service connection and service account abuse in Azure DevOps and GCP, and Docker registry credential theft from build environments. Maps to MITRE ATT&CK T1552 (Unsecured Credentials) and its sub-techniques. Each section provides enumeration procedures, extraction techniques, and post-exploitation pivoting guidance for using rDevOpsFără avertismente★ 9,3 K↓ —
- anth-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Anthropic Claude Messages API example. Use when starting a new Claude integration, testing your setup, or learning basic Messages API patterns for text, vision, and streaming. Trigger with phrases like "anthropic hello world", "claude api example", "anthropic quick start", "simple claude code", "first messages api call".TestareFără avertismente★ 2,9 K↓ —
- anth-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement Anthropic Claude API rate limiting, backoff, and quota management. Use when handling 429 errors, optimizing request throughput, or managing RPM/TPM limits across usage tiers. Trigger with phrases like "anthropic rate limit", "claude 429", "anthropic throttling", "claude retry", "anthropic backoff".InginerieFără avertismente★ 2,9 K↓ —
keyword-research
aaron-he-zhu/aaron-marketing-skills
ȘtiințăActualizat acum 12 ore
De la autor
Use when the user asks to "find keywords", "挖词", or "搜什么词"; prioritizes search volume, keyword difficulty, intent, and topic clusters from provided or connected data. Not for competitor-relative coverage gaps — use content-gap-analysis. 关键词研究/内容选题
Instalare
npx skills add aaron-he-zhu/aaron-marketing-skills --skill keyword-research -a claude-code
Se instalează în .claude/skills/keyword-research/ · 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
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De ce 90
Securitate100
Proveniență82
Întreținere100
Licență100
Adopție55
Fișiere (6)
- SKILL.md
- references/example-report.md
- references/instructions-detail.md
- references/keyword-intent-taxonomy.md
- references/keyword-prioritization-framework.md
- references/topic-cluster-templates.md