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 4 ore
48.055 de skill-uri
- clean-codeciembor/agent-rules-booksApply Robert C. Martin-inspired clean code rules when improving readability, naming, function design, responsibilities, or testable everyday code.InginerieFără avertismente★ 3,2 K↓ —
- release-itciembor/agent-rules-booksApply Michael T. Nygard-inspired production reliability rules when designing failure handling, timeouts, retries, circuit breakers, observability, or deployment behavior.DevOpsFără avertismente★ 3,2 K↓ —
- domain-driven-design-distilledciembor/agent-rules-booksApply Vaughn Vernon-inspired lightweight DDD rules when using bounded contexts, subdomains, context maps, and tactical modeling without excess ceremony.DesignFără avertismente★ 3,2 K↓ —
- domain-driven-designciembor/agent-rules-booksApply Eric Evans-inspired DDD rules when modeling a complex domain, defining bounded contexts, protecting ubiquitous language, or designing aggregates.DesignFără avertismente★ 3,2 K↓ —
- implementing-domain-driven-designciembor/agent-rules-booksApply Vaughn Vernon-inspired implementation DDD rules when building aggregates, domain events, repositories, application services, or context integrations.DesignFără avertismente★ 3,2 K↓ —
- designing-data-intensive-applicationsciembor/agent-rules-booksApply Martin Kleppmann-inspired data-system rules when designing reliability, scalability, consistency, replication, transactions, streams, or schema evolution.AlteleFără avertismente★ 3,2 K↓ —
- patterns-of-enterprise-application-architectureciembor/agent-rules-booksApply Martin Fowler-inspired enterprise architecture rules when choosing layers, service layers, transaction scripts, domain models, repositories, mappers, or DTOs.PlanificareFără avertismente★ 3,2 K↓ —
- 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↓ —
- baoyu-image-genActualizatJimLiu/baoyu-skillsAI image generation with OpenAI GPT Image 2.5, Azure OpenAI, Google, OpenRouter, DashScope, Z.AI GLM-Image, MiniMax, Jimeng, Seedream, Replicate and Agnes APIs. Supports text-to-image, reference images, aspect ratios, and batch generation from saved prompt files. Sequential by default; use batch parallel generation when the user already has multiple prompts or wants stable multi-image throughput. Use when user asks to generate, create, or draw images.MediaFără avertismente★ 27,2 K↓ —
- minutes-tagsilverstein/minutesLightweight outcome tagging for meetings — won, lost, stalled, great, or noise. Use whenever the user says "tag this meeting", "mark that as a win", "that one was a loss", "tag yesterday's call as stalled", "mark this great", "that meeting was noise", "label that meeting", or any time they describe a meeting outcome in passing. Tagging takes 5 seconds and unlocks /minutes-mirror correlation analysis — the more meetings get tagged, the smarter mirror gets at telling the user what behavior patterns lead to wins. Surface this skill any time the user mentions a meeting result, win, loss, or wasted time.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- hf-cloud-python-env-setuphuggingface/skillsSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.OficialInginerieFără avertismente★ 11,3 K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OficialAlteleFără avertismente★ 11,3 K↓ —
- 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↓ —
- 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↓ —
- investigate-processmicrosoft/power-platform-skillsUse when a broad Process Mining business question, observed pattern or competing explanation needs investigation across analytical perspectives.FinanțeFără avertismente★ 1,1 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. This adapter registers no lifecycle or Stop hook, never requests continuation, and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,8 K↓ —
- derive-metricmicrosoft/power-platform-skillsUse when a requested measure is missing, a saved custom metric needs reuse, or an ephemeral formula or derived scalar is needed.AlteleFără avertismente★ 1,1 K↓ —
- onboarding-croalirezarezvani/claude-skillsUse when activation, time-to-value or a first-run experience after signup needs work, before redesigning it. Finds the activation drop-off with activation_funnel_analyzer.py.MarketingFără avertismente★ 29,2 K↓ —
- clarify-question-loopagentlas-ai/Agentlas-OSUse when a meta-agent request is too ambiguous to safely generate, package, publish, or adapt without one to five targeted questions.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- mdr-745-specialistalirezarezvani/claude-skillsUse for EU MDR 2017/745 work: device classification under Annex VIII, technical file gaps (Annex II/III), clinical evaluation, PMS and PSUR cadence, notified body prep. Checks the file with mdr_gap_analyzer.py.PlanificareFără avertismente★ 29,2 K↓ —
- generate-codeful-mcp-toolmicrosoft/power-platform-skillsGenerate a self-contained JavaScript server runtime and registration metadata for an MCP codeful tool. Use when the user asks to create a codeful MCP tool, generate server logic for an MCP tool, write a runTool function, build a Dataverse-backed MCP tool, or pair MCP server logic with an MCP App widget.RedactareFără avertismente★ 1,1 K↓ —
- publish-to-confluencehuytieu/COG-second-brainPublish any markdown file from the vault to Confluence with format conversion and approval gateMarketingFără avertismente★ 1,3 K↓ —
- coo-advisoralirezarezvani/claude-skillsUse for operations leadership: process design, OKR execution, operating cadence, bottlenecks or scaling playbooks. Tracks OKRs with okr_tracker.py and analyzes efficiency with ops_efficiency_analyzer.py.DesignFără avertismente★ 29,2 K↓ —
pitch-vs-teach
mohitagw15856/pm-claude-skills
DocumenteActualizat acum 9 ore
De la autor
Know which talk you're giving — the pitch (drive one decision) vs. the teach (build understanding) — because mixing their structures fails both, and most bad presentations are one wearing the other's clothes. Use when asked is this a pitch or a training, my informative deck didn't land the ask, my pitch felt like a lecture, or structure this talk for the right job. Produces the mode diagnosis, the structural implications, the mixed-mandate split, and the mode-check on an existing deck.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill pitch-vs-teach -a claude-code
Se instalează în .claude/skills/pitch-vs-teach/ · 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: MIT
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (1)
- SKILL.md