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.
48.019 skill-uri din 2.309 depozite · actualizat acum 2 minute
48.019 skill-uri
- aeonforyourhealth111-pixel/Vibe-SkillsThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.PlanificareFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- risk-analysisjeremylongshore/tons-of-skills-marketplacePerforms deep clause-by-clause risk scoring across 10 categories with poison pill detection and financial exposure estimation. Use when a user needs to understand the specific risks in a contract before signing. Trigger with "/risk-analysis" or "what are the risks in this contract".FinanțeFără avertismente★ 2,9 K↓ —
- flyio-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect a bounded, redacted Fly.io support bundle for release, Machine, health, volume, network, and platform incidents. Use when escalating a reproducible problem. Trigger with: "build Fly debug bundle", "collect Fly support evidence", "sanitize Fly incident data".InginerieFără avertismente★ 2,9 K↓ —
- exploitsdavepoon/buildwithclaudeAnalyze exploit intelligence for a vulnerability against the current repositorySecuritateFără avertismente★ 3,7 K↓ —
- searchtaishi-i/awesome-ChatGPT-repositoriesSearch 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.AlteleFără avertismente★ 3,3 K↓ —
- castai-rate-limitsjeremylongshore/tons-of-skills-marketplaceBuild a CAST AI REST client that respects endpoint-specific throttling, bounded retries, and an explicit request budget. Use when a job receives 429 responses, polls CAST AI, or fans out across clusters and organizations. Trigger with: "handle CAST AI rate limits", "stop CAST AI 429s", "make CAST AI polling safe".PlanificareFără avertismente★ 2,9 K↓ —
- launch-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "monitor my launch", "track our Product Hunt / Hacker News ranking", or "watch the launch window"; runs the T-0 to T+30 window watch — pre-launch instrumentation verification (UTM/event checks, the upstream of RAMP P1), HN rank/points/comments polling with a comments-over-points flamewar early-warning (Estimated heuristic), PH votes/featured status, store charts and reviews, news echo, D0/W1/M1 KPI snapshots vs targets, spike-vs-sustain and owned-capture reads, and alert thresholds against the launch-tier KPI targets. Not for launch-day go/rollback calls — use launch-day-conductor; not for metric deep-dives — use performance-analyzer; not for SEO rank tracking — use rank-tracker. 发布监控/排名轮询/火焰战比/spike-sustainMarketingFără avertismente★ 3 K↓ —
- golang-structs-interfacessamber/cc-skills-golangGolang struct and interface design patterns — composition, embedding, type assertions, type switches, interface segregation, dependency injection via interfaces, struct field tags, and pointer vs value receivers. Use this skill when designing Go types, defining or implementing interfaces, embedding structs or interfaces, writing type assertions or type switches, adding struct field tags for JSON/YAML/DB serialization, or choosing between pointer and value receivers. Also use when the user asks about "accept interfaces, return structs", compile-time interface checks, or composing small interfaces into larger ones.DesignFără avertismente★ 3,7 K↓ —
- tag-taxonomyAr9av/obsidian-wikiApply and maintain the wiki's controlled tag vocabulary. Use for choosing, normalizing, auditing, or extending tags when creating or updating wiki pages; consult the taxonomy before assigning tags.AlteleFără avertismente★ 3,6 K↓ —
- attio-sdk-patternsjeremylongshore/tons-of-skills-marketplaceBuild a typed Attio REST client with tenant-aware tokens, endpoint-specific pagination, structured errors, bounded retries, and contract tests while distinguishing it from the Attio App SDK. Use when creating or refactoring Attio integration code. Trigger with "Attio SDK", "Attio client wrapper", or "typed Attio API".TestareFără avertismente★ 2,9 K↓ —
- kiro-spec-statusgotalab/cc-sddShow specification status and progressPlanificareFără avertismente★ 3,7 K↓ —
- briefdavepoon/buildwithclaudeSession-start briefing from Origin. Reads the project status file (the /handoff-maintained ledger of Active/Backlog work), then loads identity, preferences, and topic-relevant memories so the agent walks in with context. Surfaces any memories the daemon has flagged for human revision before the session uses them. Invoked as `/brief [topic]`. Call FIRST at session start, before any other Origin verb.ProductivitateFără avertismente★ 3,7 K↓ —
- doca-container-deploymentActualizatNVIDIA/skillsRunning an in-bundle DOCA service as a container on a BlueField (Argus, DMS, Firefly, or UROM service): kubelet standalone watching a static-pod manifests directory, YAML pod-spec drop, kubelet status / ENTRYPOINT logs / per-service liveness. Trigger on "how do I run my built service on the BlueField?", "where do I drop the pod-spec YAML?", "pod stuck in Pending / ImagePullBackOff / CrashLoopBackOff", "container Running but service isn't ready", "pod restart-loops after edit", or "DMS and Firefly together", even without naming container deployment. A DOCA-linked binary launched directly on the host or Arm belongs to doca-bare-metal-deployment. Covers smoke-before-bulk and the layered error taxonomy (pod-spec, scheduling, image pull, runtime, mount, network, version, host). Refuse and route elsewhere for per-service config schemas, DOCA install, library-API questions, external NVIDIA services (BlueMan, HBN, SNAP, Virtio-net), or full Kubernetes-cluster ops.DevOpsFără avertismente★ 3,8 K↓ —
- kiro-spec-quickgotalab/cc-sddQuick spec generation with interactive or automatic modePlanificareFără avertismente★ 3,7 K↓ —
- kiro-validate-gapgotalab/cc-sddAnalyze implementation gap between requirements and existing codebasePlanificareFără avertismente★ 3,7 K↓ —
- tao-train-dinoNVIDIA/skillsDINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".AlteleFără avertismente★ 3,8 K↓ —
- 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↓ —
- speckit-clarifyforyourhealth111-pixel/Vibe-SkillsStructured clarification workflow for underspecified requirements. Use before planning to resolve ambiguities through coverage-based questioning. Records answers in spec clarifications section.PlanificareFără avertismente★ 3,8 K↓ —
- tao-train-codetrNVIDIA/skillsCo-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model. Trigger phrases include "train Co-DETR", "run CoDINO", "codetr inference", "collaborative DETR", "autolabel detections with Co-DETR".AlteleFără avertismente★ 3,8 K↓ —
- scientific-brainstormingforyourhealth111-pixel/Vibe-SkillsOpen-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For structured testable hypotheses and validation plans, use hypothesis-generation instead.ȘtiințăFără avertismente★ 3,8 K↓ —
- doca-spcx-ccActualizatNVIDIA/skillsUse this skill when the user is invoking `doca_spcx_cc` (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop an SPC-X congestion-control algorithm on a BlueField with a DPA processor against a live RDMA / RoCE fabric, or picking SPCX vs the established `doca-pcc` surface. Trigger even when the user does not say "DOCA SPCX" or "doca_spcx_cc" — typical implicit phrasings include "I want to write a custom RTT-based CC algorithm for my RoCE fabric", "my SPCX session loaded but throughput / latency didn't change", "doca_pcc status shows Active but factory CC seems to still be in charge", "DOCA_PCC_PS_ERROR on start", "is the programmable-CC surface available on my install", or "DPA-side algorithm image won't load". Refuse and route elsewhere for DPA-side algorithm authoring detail, factory PCC firmware configuration, read-only PCC counter inspection, raw DPA cycle profiling, RDMA library programming, or general DOCA install — those belong to other skills.MediaFără avertismente★ 3,8 K↓ —
- readdavepoon/buildwithclaudePreview a distilled wiki page from inside Claude Code. Prints title, summary, source count, and the local md path. Full body lives on disk — open with the user's editor. Invoked as `/read <title_or_id>`.RedactareFără avertismente★ 3,7 K↓ —
- agent-creatorjeremylongshore/tons-of-skills-marketplaceCreate production-grade agent .md files aligned with the current Anthropic subagent contract. Also validates existing agents against the marketplace compliance rules. Use when building custom subagents, reviewing agent quality, or creating parallel agent architectures for orchestrator skills. Trigger with "/agent-creator", "create an agent", "build a subagent", or "validate my agent". Make sure to use this skill whenever creating agents/*.md files for plugins or standalone use.JuridicFără avertismente★ 2,9 K↓ —
- tao-list-capabilitiesNVIDIA/skillsAnswer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".AlteleFără avertismente★ 3,8 K↓ —
doca-sha-offload-engine
NVIDIA/skills
ActualizatTestareActualizat acum 15 ore
De la autor
Use this skill when wiring the DOCA SHA Offload Engine (an OpenSSL ENGINE) into an existing OpenSSL pipeline to offload one-shot SHA-1, SHA-256, or SHA-512 (EVP_Digest) onto DOCA SHA hardware without rewriting against doca-sha. Covers engine load mechanics (`openssl engine dynamic`, `set_pci_addr` ctrl, `-engine_impl`), the SHA-224 negative test that proves offload engaged, the message-size window where offload beats CPU SHA, and engine-vs-library selection. Trigger even when the user does not say "DOCA SHA Offload Engine" or "OpenSSL ENGINE" — typical implicit phrasings: "speed up openssl SHA on BlueField", "offload SHA without code changes", "is openssl using the accelerator or falling back to software", "prove DOCA SHA actually ran", "openssl dgst hashed but I'm not sure it was offloaded". Refuse and route elsewhere for new SHA pipelines (use doca-sha), MD5 / SHA-3 / SHA-224 / HMAC-SHA offload, incremental hashing via chained `EVP_DigestUpdate`, or OpenSSL PROVIDER authoring.
Instalare
npx skills add NVIDIA/skills --skill doca-sha-offload-engine -a claude-code
Se instalează în .claude/skills/doca-sha-offload-engine/ · 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
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig