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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-steering-customgotalab/cc-sddCreate custom steering documents for specialized project contextsPlanificareFără avertismente★ 3,7 K↓ —Apare și în 6 alte depozite
- runway-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate, observe, and preserve one approved Runway text-to-video task using the current per-model contract. Use when proving the first billable generation path. Trigger with: "Runway hello world", "first Runway video", "smoke test Runway generation".TestareFără avertismente★ 2,9 K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks for a specificationPlanificareFără avertismente★ 3,7 K↓ —
- golang-troubleshootingsamber/cc-skills-golangTroubleshoot Golang programs systematically - find and fix the root cause. Use when encountering bugs, crashes, deadlocks, races, or unexpected behavior in Go code. Covers debugging methodology, common Go pitfalls, test-driven debugging, pprof setup and capture, Delve, race detection, GODEBUG tracing, and production debugging. Start here for any 'something is wrong' situation. Not for interpreting profiles or benchmarking (→ See `samber/cc-skills-golang@golang-benchmark` skill), applying optimization patterns (→ See `samber/cc-skills-golang@golang-performance` skill), or designing new code (→ See `samber/cc-skills-golang@golang-safety` skill for defensive coding, `samber/cc-skills-golang@golang-concurrency` skill for concurrency design).TestareFără avertismente★ 3,7 K↓ —
- doca-commonNVIDIA/skillsUse this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and needs the foundation primitives every per-library context rests on — walking the doca_ctx lifecycle, discovering doca_dev / doca_devinfo and gating on doca_*_cap_* before trusting a feature, wiring doca_mmap / doca_buf_inventory / doca_buf for zero-copy I/O across libraries, driving doca_pe for completions, or DOCA Log's two-tier (--sdk-log-level vs app-side) model. Trigger even when the user does not say "DOCA Common" — typical implicit phrasings include "my tasks submit but nothing completes", "DOCA_ERROR_BAD_STATE from doca_ctx_start", "--sdk-log-level does nothing for my DOCA_LOG_DBG lines", "share a buf between doca_dma and doca_rdma", or "crashes far from the offending line". Refuse and route elsewhere for per-library questions in isolation (load doca-flow / doca-rdma / doca-eth alongside), installing DOCA (doca-setup), or doc lookup (doca-public-knowledge-map).ProductivitateFără avertismente★ 3,7 K↓ —
- kiro-steering-customgotalab/cc-sddCreate custom steering documents for specialized project contextsPlanificareFără avertismente★ 3,7 K↓ —
- doca-debugNVIDIA/skillsUse this skill when the user is debugging any DOCA symptom — a build that won't compile, a link step that can't resolve a doca_* symbol, a runtime call returning DOCA_ERROR_*, a silent service or tool, or a stack trace / valgrind / core dump — and needs the layered ladder (install → version → build → link → runtime → program → driver), verbosity controls (--sdk-log-level, DOCA_LOG_LEVEL, the doca-{lib}-trace flavor), container-debug constraints, or how to capture state for a Developer Forum post. Trigger even when the user does not say "DOCA debug" — implicit phrasings include "undefined reference to doca_*", "how do I get more logs", "packets aren't reaching the wire", "doca_caps returned nothing", or "hugepages empty in the container". Refuse and route elsewhere for library-specific debug (Flow pipe trace, RDMA QP, Comch stats), env-class pkg-config or hugepages symptoms, the DOCA_ERROR_* taxonomy and lifecycle interpretation, and performance or incident-response work — those belong to other skills.InginerieFără avertismente★ 3,7 K↓ —
- optimizing-promptsjeremylongshore/tons-of-skills-marketplaceExecute this skill optimizes prompts for large language models (llms) to reduce token usage, lower costs, and improve performance. it analyzes the prompt, identifies areas for simplification and redundancy removal, and rewrites the prompt to be more conci... Use when optimizing performance. Trigger with phrases like 'optimize', 'performance', or 'speed up'.AlteleFără avertismente★ 2,9 K↓ —
- video-highlightsZJU-REAL/Easel长视频 / 直播录像高光切片:从一条长视频里找出高光片段,切成多条独立短视频,可选转竖版 9:16 + 加字幕。找点两种方式——音频能量峰值(情绪高涨/欢呼/大声处)或转录后由内容判断挑金句段。当用户说 直播切片、高光切片、长视频切短、录像剪精华、切片、高光时刻、把直播剪成短视频、提取精彩片段、长视频找亮点 时使用。基于 shared/scripts/highlight_cut.py(librosa 能量分析)。与 clipify 区别:clipify 专做英文口播找笑点+动态人脸pan,本 SKILL 更通用(中文/直播皆可)、静态转竖版更稳。MediaFără avertismente★ 4,1 K↓ —
- gsd:session-reportdavepoon/buildwithclaudeGenerate a session report with token usage estimates, work summary, and outcomesProductivitateFără 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↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md sequentially by dependency wave in Cascade.PlanificareFără avertismente★ 3,7 K↓ —
- clade-rate-limitsjeremylongshore/tons-of-skills-marketplaceHandle Anthropic rate limits — understand tiers, implement backoff, Use when working with rate-limits patterns. optimize throughput, and monitor usage. Trigger with "anthropic rate limit", "claude 429", "anthropic throttling", "anthropic usage limits", "claude tokens per minute".AlteleFără avertismente★ 2,9 K↓ —
- search-to-slackjeremylongshore/tons-of-skills-marketplaceTakes web search results and formats them as polished Slack messages, digests, or thread summaries ready to post to channels. Use when the user wants to research a topic and share findings on Slack. Trigger with phrases like "research and post to Slack", "create a Slack digest", "summarize and share in #channel", or "format search results for Slack".ȘtiințăFără avertismente★ 2,9 K↓ —
- shipping-across-surfaceskajisho5/ffmpeg-skillLand a change everywhere the same fact is stated — enumerating the full surface inventory (landing copy, docs, machine-readable summaries, changelog badges repeated across every page, sitemap, README, descriptions embedded in code, and untyped frontend consumers of typed responses), generating a surface instead of restating it, drift tests where you cannot generate, never hand-maintaining a copy of a surface another codebase owns, shipping a paired PR when you change a format a different codebase decodes, and keeping overloaded product words apart. Use when adding or renaming a user-facing feature, editing product/marketing copy or docs, renaming a serialized response field, changing a serialization or share-link format, wiring one repo's output into another's checks, or reviewing a PR that touched only one place a fact appears.TestareFără avertismente★ 3 K↓ —
- company-valuationhimself65/finance-skillsEstimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory.FinanțeFără avertismente★ 3,5 K↓ —
- segment-automationdavepoon/buildwithclaudeAutomate Segment tasks via Rube MCP (Composio): track events, identify users, manage groups, page views, aliases, batch operations. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- contract-comparejeremylongshore/tons-of-skills-marketplaceCompares two contract versions side-by-side to detect added, removed, and modified clauses with favorability analysis. Use when a user receives a revised contract or redline and needs to understand what changed and who each change favors. Trigger with "/contract-compare" or "compare these two contracts".JuridicFără avertismente★ 2,9 K↓ —
- neon-functionsActualizatneondatabase/agent-skillsLong-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data. Use when a user wants to host an API, an AI agent with long streaming responses, a WebSocket or server-sent-events (SSE) server, a webhook handler, a Discord bot, an MCP server, or any request/response workload that risks timing out on short, lambda-style serverless functions — and wants it to branch with their database. Also use for Function Triggers: a cron or an object-storage event that POSTs to a function. Triggers include "serverless function", "deploy an API", "long-running function", "streaming agent", "SSE server", "WebSocket server", "webhook handler", "MCP server", "cron", "scheduled function", "object storage trigger", "on upload", "function that won't time out", "function logs", "Neon Functions", "Neon Compute", "DDoS protection", "rate limiting", and "production hardening". For live UIs over database rows, use neon-realtime.OficialDevOpsFără avertismente★ 106↓ —Apare și în 1 alt depozit
- golang-performancesamber/cc-skills-golangGolang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (→ See `samber/cc-skills-golang@golang-benchmark` skill) or debugging workflow (→ See `samber/cc-skills-golang@golang-troubleshooting` skill).InginerieFără avertismente★ 3,7 K↓ —
- adk-agent-builderjeremylongshore/tons-of-skills-marketplaceScaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".DevOpsFără avertismente★ 2,9 K↓ —
- message-house-builderaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build a message house", "write a PR-FAQ for our launch", or "define the launch narrative and value pillars"; derives from the positioning canvas a message house — tagline, one-liner, three value pillars, per-persona proof points (each labeled Measured / User-provided / [needs source]) — plus a working-backwards PR-FAQ narrative spine (launch-day tense, empty-chair test, five external + five internal FAQs) and per-channel message angle packs (angles, not finished copy). Not for the positioning canvas itself — use positioning-mapper; not for finished blog posts or pages — use content-writer; not for ad or email units — use each discipline creative builder; not for claim adjudication — use offer-claims-registry. 消息屋/PR-FAQ/价值支柱/发布叙事TestareFără avertismente★ 3 K↓ —
- narrative-resonance-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "measure how our narrative is landing", "track echo rate against our canon lexicon", or "check how AI answer engines describe our brand"; produces a resonance report — echo rate (overlap of market language with the narrative-registry canon lexicon, method declared), AI-answer perception via tavily.py --answer (proxy-labeled), share-of-voice on a locked competitor panel (reusing share-of-voice-tracker), and resonance signals from bluesky.py / gdelt.py / pageviews.py — every number labeled Measured / proxy / User-provided, feeding the TALE E dimension and the upstream of the E1 evidence-integrity veto. Not for rebuilding share-of-voice machinery — use share-of-voice-tracker; not for own-site GA4/GSC analytics — use performance-monitor; not for scoring TALE profile result — use narrative-quality-auditor; not for adjudicating claims — use offer-claims-registry. 回声率/AI回答感知/份额之声/共鸣信号DateFără avertismente★ 3 K↓ —
- hormuz-straithimself65/finance-skillsCheck the live status of the Strait of Hormuz from the Hormuz Strait Monitor dashboard: open, restricted, or closed status, tanker transits vs normal, stranded vessels, Brent price impact, war-risk insurance levels, cargo throughput, tanker freight rates, diplomatic developments, and global trade impact. Use this skill whenever the user asks about the Strait of Hormuz or the Persian Gulf in the context of oil, shipping, or geopolitical risk — whether Hormuz is open, chokepoint or transit disruption, Gulf tanker traffic, war-risk premiums, Middle East shipping routes, or energy supply-chain risk.ProductivitateFără avertismente★ 3,5 K↓ —
doca-common
NVIDIA/skills
De la autor
Use this skill whenever the user is doing hands-on DOCA programming on a BlueField DPU or ConnectX NIC and needs the foundation primitives every per-library context rests on — walking the doca_ctx lifecycle, discovering doca_dev / doca_devinfo and gating on doca_*_cap_* before trusting a feature, wiring doca_mmap / doca_buf_inventory / doca_buf for zero-copy I/O across libraries, driving doca_pe for completions, or DOCA Log's two-tier (--sdk-log-level vs app-side) model. Trigger even when the user does not say "DOCA Common" — typical implicit phrasings include "my tasks submit but nothing completes", "DOCA_ERROR_BAD_STATE from doca_ctx_start", "--sdk-log-level does nothing for my DOCA_LOG_DBG lines", "share a buf between doca_dma and doca_rdma", or "crashes far from the offending line". Refuse and route elsewhere for per-library questions in isolation (load doca-flow / doca-rdma / doca-eth alongside), installing DOCA (doca-setup), or doc lookup (doca-public-knowledge-map).
Instalare
npx skills add NVIDIA/skills --skill doca-common -a claude-code
Se instalează în .claude/skills/doca-common/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
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Fișiere (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig