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.
49.105 skill-uri din 2.358 de depozite · actualizat acum 19 ore
48.055 de skill-uri
- doca-dpdk-bridgeNVIDIA/skillsUse this skill when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in DOCA-native form: binding a DPDK port id to a `doca_dev` (`doca_dpdk_port_probe` / `doca_dpdk_port_as_dev`), converting `rte_mbuf` ↔ `doca_buf`, querying `doca_dpdk_cap_is_rep_port_supported`, or debugging `DOCA_ERROR_*` from a bridge call. Trigger even without "DOCA DPDK Bridge": "how do I add DOCA Flow to my DPDK app", "make a DPDK port visible to DOCA", "the bridge loads but every operation returns errors", "pkg-config --exists doca-dpdk-bridge fails", or "DOCA_ERROR_NOT_FOUND on port registration". Route elsewhere for fresh DOCA-native packet I/O (doca-eth), flow-rule programming (doca-flow), DOCA or DPDK install (doca-setup), or RDMA data movement (doca-rdma).PlanificareFără avertismente★ 3,8 K↓ —
- write-testsdzhng/skillsWrite tests that pin real behavior instead of implementation details, config values, or lucky samples. Use when adding tests for new behavior, writing a regression test, fixing a brittle or flaky test, reviewing a test diff, or when a test breaks after a refactor or config change that didn't change behavior.TestareFără avertismente★ 1,4 K↓ —
- write-specdzhng/skillsBreak large features into independently verifiable, human-reviewable slices under a feature directory in specs/. Use for risky or multi-step feature work that needs upfront questioning, API seams, browser-playable checkpoints, HTML visualizations, screenshot gates, staged implementation plans, recursive fog-of-war reslicing, or proactive research into reference implementations/best practices before slicing. Pairs with your project's verification harness and screenshot gates (the browser checkpoints), [refactor-clean](../refactor-clean/SKILL.md) (review the materialized spec so the plan describes one-owner architecture, not the feature bolted on), [screenshot-critique](../../visual/screenshot-critique/SKILL.md) and [compare-screenshots](../../visual/compare-screenshots/SKILL.md) (the visual gates), and a code-review pass (audit each slice before it lands).RedactareFără avertismente★ 1,4 K↓ —
- jetson-customize-fanNVIDIA/skillsUse when you need to add, remove, edit, list, or change the boot default of an nvfancontrol fan profile on a Jetson/Tegra (Orin, Thor) target. Triggers: edit fan profile, tune fan curve.RedactareFără avertismente★ 3,8 K↓ —
- quick-statshoangsonww/Claude-Code-Agent-MonitorOne-line summary of key Agent Monitor metrics — active sessions, total cost from the pricing engine, events today from daily_events, top tool from tool_usage, and current model from the most recent session. Use for a fast at-a-glance check without leaving the terminal.ProductivitateFără avertismente★ 1,1 K↓ —
- oma-qafirst-fluke/oh-my-agentReview changes for correctness, security, accessibility, and performance. Use for scoped quality reviews or verification plans; bug fixes use oma-debug.TestareFără avertismente★ 1,4 K↓ —Apare și în 2 alte depozite
- car-rental-businesshashgraph-online/awesome-codex-pluginsRun and grow an exotic, luxury or Turo car rental business: price cars against live published market rates, scan competitors in any US city, plan a new rental business, draft rental agreements, run damage inspections, write vehicle listings and social posts, and reply to customer reviews. Market numbers come from the CarRentalList catalog via its free MCP server or the bundled client.RedactareFără avertismente★ 1,5 K↓ —
- publish-pcf-companionmicrosoft/power-platform-skillsDeploy the dispatcher PCF for a third-party `.ppmplugin` control to a Power Platform environment via `pac pcf push`. The dispatcher PCF is the Studio-side control that dispatches the composite key `<name>/<receiver>` over the wrap shell's `SendMessagePlugin` bridge to the control's native module. Verifies deploy prereqs (Node.js 20+ with npm, .NET SDK, and active `pac auth`), then three confirmation gates — publisher prefix (2–8 chars; defaults to `pamext` or the last-used value from `.extension-state.md`), version bump (patch / minor / major / no-bump), target environment URL (from `pac org who`). Builds the PCF if needed, then pushes. Decoupled from /generate-pcf-companion so the engineer can scaffold and customize locally, then deploy when ready. Updates `.extension-state.md` with deployment history (timestamp, env URL, version, prefix used).DevOpsFără avertismente★ 1,1 K↓ —
- varg-unboxing-videoNouhashgraph-online/awesome-codex-pluginsTurns product photos into an unboxing or ASMR video ad on varg: hands-only, top-down or POV, the box tapped, opened and the product lifted out and switched on, with native ASMR sound (taps, crinkle, lid pop) and no music, in timed VISUAL / ACTION / SOUND blocks on Seedance 2.5 with the box and the product as references. Unboxing has the highest winner rate of any Meta ad format (9.8%, Motion 2026) while only 2.1% of ads use it. Use when a seller (TikTok Shop, Shopify, dropshipping, Amazon) asks for an unboxing video, an ASMR or satisfying product video, "open the box" content, a packaging reveal, or a hands-only product demo made from photos. Not for talking-head UGC (use ai-ugc-ad-video), the full 60 s guide reel (varg-dropship-reel) or a studio spin of the product alone (product-photo-to-video).MediaFără avertismente★ 1,5 K↓ —
- oma-scmfirst-fluke/oh-my-agentManage Git branches, merges, conflicts, commits, and release baselines. Use for repository history and change-management operations.InginerieFără avertismente★ 1,4 K↓ —Apare și în 3 alte depozite
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,3 K↓ —
- <slug>gooseworks-ai/goose-skills<What it does and when to use it, in one or two sentences. This is what an agent matches on. At most 1,024 characters.>AlteleFără avertismente★ 1,3 K↓ —
- writing-plansmohitagw15856/pm-claude-skillsWrite an executable work plan BEFORE starting a complex task — decomposed steps with verification points, risks pre-named, and explicit stop conditions — so execution becomes checking boxes instead of improvising. Use when a task will take many steps, when asked to plan before doing, when previous attempts sprawled or stalled, or before delegating work to subagents. Produces a plan document another agent (or future you) could execute without re-deriving the thinking. Pairs with executing-plans.RedactareFără avertismente★ 1,5 K↓ —
- earth2studio-installNVIDIA/skillsGuide installing Earth2Studio via uv or pip, selecting model extras, and configuring the environment. Do NOT use for writing inference code, choosing models, or PhysicsNeMo questions.RedactareFără avertismente★ 3,8 K↓ —
- minutes-weeklysilverstein/minutesWeekly meeting synthesis — themes, decision arcs, stale commitments, and what deserves your attention next week. Use when the user says "weekly review", "what happened this week", "weekly summary", "recap my week", "any outstanding items", "week in review", or at the end of a work week.InginerieFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OficialProductivitateFără avertismente★ 11,3 K↓ —
- resumemohitagw15856/pm-claude-skillsRédige un CV percutant, orienté résultats, qui passe les filtres ATS et décroche l'entretien. À utiliser quand on demande d'écrire ou de réécrire un CV, de transformer une expérience en CV, ou d'adapter un CV à une offre. Produit un CV sobre, en une colonne, compatible ATS — accroche, expérience en puces de réalisations chiffrées, compétences et formation — prêt à exporter en PDF mis en page.DocumenteFără avertismente★ 1,5 K↓ —
- write-reportgooseworks-ai/goose-skillsTurns findings you already have into a report a marketer can read in 30 seconds. It has a short summary with key findings and how sure each one is, the first move, decisions needed, at most six next moves, what was not checked, and dated sources. It checks length and wording before handing over, then saves the report to the brand. Use alone when you already have the findings and their sources; otherwise run the playbook for the job (e.g. research-market, research-competitors, plan-campaign).RedactareFără avertismente★ 1,3 K↓ —
- meta-evalagentscope-ai/OpenJudgeUse when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.TestareFără avertismente★ 1 K↓ —
- compare-showshashgraph-online/awesome-codex-pluginsCompares two podcasts or YouTube shows side by side: size, latest episode, what each talks about, what both cover, and shared sponsors. Uses arcmira.AlteleFără avertismente★ 1,5 K↓ —
- assemble-ppmpluginmicrosoft/power-platform-skillsAssemble the final `.ppmplugin` binary bundle for a PAM native extension and verify its contents. First **reconciles** the manifest's declared `entrypoints` against the binaries actually staged — if the manifest declares a platform with no built binary it gates (build it / ship without it / stop) rather than shipping a broken bundle. Then re-runs the plugin's upload-compatibility checks on the reconciled manifest, zips the manifest plus whichever of `android/<PascalName>Plugin.dex` and `ios/<PascalName>Plugin.framework/` are present into `ppmplugin/<name>.ppmplugin`, and verifies the archive layout with `jar tf` (exactly the manifest + the shipped binaries — nothing missing, nothing extra). Output: a statically verified `.ppmplugin` file on disk. Prereqs: `jar` (JDK). Run after /generate-ppmplugin-manifest and the build skill(s).AlteleFără avertismente★ 1,1 K↓ —
- mcp-maintainerhoangsonww/Claude-Code-Agent-MonitorOperate and maintain the local MCP server for this repository. Use for MCP tool updates, policy-guard changes, host configuration, and MCP runtime troubleshooting.AlteleFără avertismente★ 1,1 K↓ —Apare și în 1 alt depozit
- mcp-operationshoangsonww/Claude-Code-Agent-MonitorOperate and maintain the local MCP server for this project. Use when creating MCP host config, troubleshooting tool connectivity, modifying tool domains, or adjusting safety policy flags.AlteleFără avertismente★ 1,1 K↓ —
- model-savingshoangsonww/Claude-Code-Agent-MonitorEstimate the dollars saved by routing eligible Claude Code work to a cheaper model family, using the Agent Monitor pricing engine. Re-prices each model's token mix at the target family's rates and quantifies the delta. Uses /api/pricing (rates), /api/pricing/cost (current per-model spend), /api/sessions, and /api/analytics. Use when hunting for cost cuts or comparing model tiers.DateFără avertismente★ 1,1 K↓ —
render-glassy-matte-grwm
gooseworks-ai/goose-skills
De la autor
Assemble a multi-scene GRWM beauty-demo ad from a config — a locked-identity creator applies ~5 products step by step while a SEPARATE ElevenLabs voiceover narrates and every scene cut is snapped to the VO's product-name word-starts (Whisper word-level timestamps), then ~5 Playwright product overlay cards (real PDP-verified taglines) are composited onto the master each on its product-NAME word-start, the SEPARATE VO is mixed on top of a ducked music bed at loudnorm I=-14, clean-white 3-words/cue captions are burned, and the video closes on a flat-lay end card. This is the FREE deterministic assembly stage (re-cut to the VO word-starts, hard-concat, Playwright card render + card composite, VO plus music mix, caption burn, flat-lay end card); the VO, scene clips, product cutouts, and music come from create-music-elevenlabs / create-image-gpt-image-fal / create-video-fal. Use for the glassy-matte-grwm format.
Instalare
npx skills add gooseworks-ai/goose-skills --skill render-glassy-matte-grwm -a claude-code
Se instalează în .claude/skills/render-glassy-matte-grwm/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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De ce 88
Fișiere (6)
- SKILL.md
- scripts/PIPELINE.md
- scripts/README.md
- scripts/config.example.json
- skill.meta.json
- tests/smoke-test.md