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.
47.307 skill-uri din 2.272 de depozite · actualizat acum 13 ore
47.307 skill-uri
- big-pics-little-wordsplannotator/effective-htmlExplain the current subject in HTML with large visuals and minimal text while preserving key details.AlteleFără avertismente★ 3,8 K↓ —
- jetson-video-capabilityNVIDIA/skillsUse when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA documentation; also applies the content-DRM scope.MediaFără avertismente★ 3,8 K↓ —
- groq-hello-worldjeremylongshore/tons-of-skills-marketplaceCreate a minimal working Groq chat completion example. Use when starting a new Groq integration, testing your setup after installing the SDK, or learning the basic Groq API request/response pattern before building something larger. Trigger with phrases like "groq hello world", "groq example", "groq quick start", "simple groq code".TestareFără avertismente★ 2,9 K↓ —
- testing-handbook-generatortrailofbits/skillsGenerates Claude Code skills from the Trail of Bits Testing Handbook (appsec.guide), analyzing handbook pages and emitting SKILL.md files with the structure each skill type requires. Use when creating or refreshing a skill from handbook content, or when the user names the testing handbook or appsec.guide. Not for answering security testing questions — the generated skills cover those.TestareFără avertismente★ 7,9 K↓ —
- nemo-mbridge-resiliencyNVIDIA/skillsResiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.AlteleFără avertismente★ 3,8 K↓ —
- figma-load-scalejeremylongshore/tons-of-skills-marketplaceLoad test Figma API integrations and plan for scale. Use when benchmarking API throughput, testing rate limit behavior, or planning capacity for high-volume Figma integrations. Trigger with phrases like "figma load test", "figma scale", "figma benchmark", "figma capacity", "figma throughput".DesignFără avertismente★ 2,9 K↓ —
- golang-dependency-managementsamber/cc-skills-golangDependency management for Golang projects — go.mod and go.sum, `go get` install and upgrade flows, Minimal Version Selection, conflict resolution with replace/exclude/retract, `govulncheck` scanning of the module tree, outdated dependency and binary size auditing, vendoring, `tool` directives, and go.work workspaces. Use when adding, removing, or upgrading Go dependencies, deciding whether to take on a package, resolving version conflicts, or auditing what a module pulls in. Covers choosing and upgrading dependency versions, not the surrounding tooling: do NOT use for fixing an exploitable vulnerability in code (→ See `samber/cc-skills-golang@golang-security` skill) or for wiring Dependabot/Renovate update bots into CI workflows (→ See `samber/cc-skills-golang@golang-continuous-integration` skill).SecuritateFără avertismente★ 3,7 K↓ —
- rag-blueprintNVIDIA/skillsNVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).DevOpsFără avertismente★ 3,8 K↓ —
- tao-train-rtdetrNVIDIA/skillsRT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".DevOpsFără avertismente★ 3,8 K↓ —
- doca-benchActualizatNVIDIA/skillsRun `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm. Use it to discover enabled benchmark libraries, capture a reproducible command/version/device/environment baseline, compare stable runs against a declared tolerance, or diagnose configuration, device-binding, workload-precondition, and measurement failures. Trigger for requests such as measuring BlueField compression speed, NIC RDMA throughput, crypto latency, or a pre-upgrade baseline. Do not use for application end-to-end timing, custom benchmark code, DOCA installation, or binary patches.FinanțeFără avertismente★ 3,8 K↓ —
- narrative-baseline-mapperaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map what our surfaces say today", "inventory our current messaging", or "find the gap between what we say and what we mean"; produces the narrative baseline — a surface-by-surface inventory of what every owned touchpoint (homepage, pricing, docs, decks, social bios, email footers) claims RIGHT NOW, each line labeled Measured / User-provided / Estimated, plus a per-surface gap read vs the intended message and the drift-baseline snapshot the Evaluate phase measures future drift against. Not for authoring the canon — use message-system-architect; not for scoring the surfaces or running the vetoes — use narrative-quality-auditor. 现状叙事盘点/各触点口径/意图差距/漂移基线PlanificareFără avertismente★ 3 K↓ —
- tao-train-nvdinov2NVIDIA/skillsNVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference for a TAO NVDINOv2 backbone. Trigger phrases include "train NVDINOv2", "self-supervised ViT pretraining", "DINOv2 backbone", "visual representation learning".AlteleFără avertismente★ 3,8 K↓ —
- navan-rate-limitsjeremylongshore/tons-of-skills-marketplaceConfigure Navan integration concurrency and retry controls from the tenant contract and observed responses. Use when controlling throughput or throttling. Trigger with "Navan rate limit", "throttle Navan sync", or "Navan backpressure".JuridicFără avertismente★ 2,9 K↓ —
- doca-telemetry-exporterActualizatNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Telemetry Exporter programming on a host where DOCA is installed — defining a doca_telemetry_exporter_schema and event types, creating sources, picking a publish surface (typed events / opaque events / the metrics counter-gauge-histogram API / OTLP logs / NetFlow), walking the schema-then-source lifecycle, or debugging DOCA_ERROR_* failures from the exporter API. Trigger even when the user does not explicitly mention "DOCA Telemetry Exporter" or "doca_telemetry_exporter_*" — typical implicit phrasings include "publishing counters from my DOCA app", "BAD_STATE when I report an event", "consumer/DTS sees nothing but my report succeeded", "how do I export NetFlow/IPFIX records", or "should I link the exporter or the telemetry service". Refuse and route elsewhere for the receiving DOCA Telemetry Service (DTS), plain stdout logging via doca_log, or real-time event subscription back into the app via doca-comch — those belong to other skills.InginerieFără avertismente★ 3,8 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↓ —
- jetson-set-targetNVIDIA/skillsSwitch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.AlteleFără avertismente★ 3,8 K↓ —
- data-artistforyourhealth111-pixel/Vibe-SkillsCreate beautiful data visualizations with mathematical elegance, color theory, and narrative design - the "Data is Beautiful" aesthetic.DesignFără 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↓ —
- i4h-workflow-train-rlNVIDIA/skillsUse when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff.ProductivitateFără avertismente★ 3,8 K↓ —
- solve-challengeljagiello/ctf-skillsSolves CTF challenges by performing first-pass triage, identifying the dominant category, and routing execution to the right specialized ctf-* skill. Use when the user gives you a challenge bundle, a remote service, a suspicious file, or only a vague challenge description and you must determine where to start. Do not use it when the category is already clear and a specialized skill can be invoked directly; this is the dispatcher and recon entrypoint, not the deepest reference for category-specific techniques.PlanificareFără avertismente★ 3,6 K↓ —
- session-brainAr9av/obsidian-wikiBuild or refresh a browser-viewable topic graph over Claude session history using local clustering. Use for mapping or clustering sessions, recent or stale topic analysis, or rebuilding/showing the session graph. Unlike wiki-history-ingest, it indexes raw sessions and never writes to the vault.BrowserFără avertismente★ 3,6 K↓ —
- offensive-network-attacksSnailSploit/Claude-RedDense description covering ARP spoofing, LLMNR/NBT-NS/mDNS poisoning, DNS poisoning, MITM attacks, VLAN hopping, DHCP attacks, 802.1X/NAC bypass, IPv6 attacks. Tools: Bettercap, Responder, mitm6, Ettercap, Wireshark. MITRE T1557, T1040. Use when conducting internal network assessments or testing Layer 2/3 attack surface.TestareFără avertismente★ 9,7 K↓ —
- wiki-rebuildAr9av/obsidian-wikiArchive and rebuild wiki knowledge from source, or restore a prior archive. Use for full restart/recovery when incremental repair is inappropriate; this is broader and more destructive than ordinary update or lint.AlteleFără avertismente★ 3,6 K↓ —
- jetson-link-docsNVIDIA/skillsBind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block. Use after staging docs on disk; not for downloading.DesignFără avertismente★ 3,8 K↓ —
single-cell-rna-qc
anthropics/knowledge-work-plugins
OficialAlteleActualizat ieri
De la autor
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
Instalare
npx skills add anthropics/knowledge-work-plugins --skill single-cell-rna-qc -a claude-code
Se instalează în .claude/skills/single-cell-rna-qc/ · 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
Rulează scripturile incluseNu am văzut acces la rețeaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 90
Securitate85
Proveniență100
Întreținere100
Licență100
Adopție70
Fișiere (6)
- LICENSE.txt
- SKILL.md
- references/scverse_qc_guidelines.md
- scripts/qc_analysis.py
- scripts/qc_core.py
- scripts/qc_plotting.py