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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 28 de minute
49.409 skill-uri
- wechat-articlemohitagw15856/pm-claude-skillsWrite a WeChat Official Account (公众号) article: a headline that earns the open, a digest line, a structure built for reading on a phone, and an ending that drives a share or follow, without clickbait the article does not deliver. Use when asked 帮我写公众号文章, 公众号标题, 推文怎么写, 写一篇公众号推送, or write a WeChat article. Produces three headline options, the digest (摘要), the full article with sub-headings and short paragraphs, cover image guidance, a closing call to action, and a check of claims and sources.RedactareFără avertismente★ 1,5 K↓ —
- threat-detectionalirezarezvani/claude-skillsUse when hunting threats, sweeping IOCs or looking for anomalies in logs and telemetry. Ranks ATT&CK-mapped signals and z-score anomalies with threat_signal_analyzer.py.AlteleFără avertismente★ 29,2 K↓ —
- icdm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ICDM (IEEE International Conference on Data Mining) submission for readiness, covering Research-vs-Applied track choice and its anonymity regime, the triple-blind sweep, the 10-page IEEE all-inclusive cap, the single June deadline, in-paper artifact references, and the desk-level triggers that get an ICDM paper rejected without review.ȘtiințăFără avertismente★ 1,4 K↓ —
- pmla-workflowbrycewang-stanford/Awesome-Journal-SkillsUse as the entry point for any PMLA (Publications of the Modern Language Association) manuscript. Routes to the right PMLA sub-skill based on where you are in the lifecycle and which venue fits — a regular blind-reviewed article or a special feature (Theories and Methodologies, The Changing Profession, Criticism in Translation, Little-known Documents). It dispatches; it does not draft content.ProductivitateFără avertismente★ 1,4 K↓ —
- uai-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a UAI submission for OpenReview readiness, covering the February paper deadline, the 8-page main part with unlimited appendices in one PDF, the 15 MB file cap, the optional 50 MB supplementary ZIP, double-blind rules, the reviewer-volunteer agreement, dual-submission checks, and desk-reject triage before upload.DocumenteFără avertismente★ 1,4 K↓ —
- socc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM SoCC project timeline from venue fit through the two-round abstract+paper deadlines, the rebuttal, notification, camera-ready, and presentation, with backward-planning offsets for a cloud-systems measurement paper and honest handling of the two-rounds-per-year cadence and the no-cross-round-resubmission rule.ProductivitateFără avertismente★ 1,4 K↓ —
- pnas-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after PNAS reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.AlteleFără avertismente★ 1,4 K↓ —
- planning-with-filesActualizatOthmanAdi/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★ 27,9 K↓ —
- ase-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ASE (IEEE/ACM Automated Software Engineering) paper, covering real subject systems, fair runnable tool baselines, task-matched effectiveness metrics, ablations that isolate a learned component, oracle and correctness validation, contamination-aware LLM handling, and provenance for mining.ȘtiințăFără avertismente★ 1,4 K↓ —
- baoyu-slide-deckJimLiu/baoyu-skillsGenerates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".DocumenteFără avertismente★ 27,2 K↓ —
- dac-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring author/affiliation/acknowledgement/funding blocks, the ACM copyright form and rights stamp, the April proceedings deadline, ACM Digital Library metadata and archival-flow checks, and the still-fixed 6+1 page budget.DesignFără avertismente★ 1,4 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↓ —
- 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↓ —
- 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-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↓ —
- kdd-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted KDD paper for ACM proceedings, covering the 12-page proceedings budget with 9 content pages, the extra content page over the submission, the 3-page cap on references plus appendix, ACM e-rights and TAPS source processing, ACM Open APC status, de-anonymization, and Digital Library metadata for SIGKDD.ȘtiințăFără avertismente★ 1,4 K↓ —
- 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↓ —
- tawk-supportNoufcakyon/claude-codex-settingsThis skill should be used when the user asks to "add Tawk support chat", "identify chat visitors", "theme a support widget", or "set up a Tawk knowledge base". Reuse signed account identification, product-specific knowledge and website styling without sharing credentials or private app content.PlanificareFără avertismente★ 1,2 K↓ —
- vldb-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a VLDB project on the PVLDB rolling calendar, covering month-picking strategy, the volume-to-conference mapping and acceptance cutoff, budgeting a possible three-month revision, coordinating author caps across a group, and backward planning from the 25th-abstract / 1st-paper rhythm.ProductivitateFără avertismente★ 1,4 K↓ —
- brooks-debthyhmrright/brooks-lintTech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. Triggers when: user asks about tech debt, refactoring priorities, what to clean up first, or asks "why is this so hard to change?", "what should we fix first?", or "how do I justify refactoring to management?". Do NOT trigger for: server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime — "health" in those contexts is infrastructure, not code quality. Also not for single-function refactoring questions.DevOpsFără avertismente★ 1,6 K↓ —
- emnlp-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an EMNLP project calendar end to end — choosing the ACL Rolling Review cycle that feeds the conference, backward-planning experiments and annotation to the ARR deadline, scheduling the author response window, deciding commit versus revise-and-resubmit, and mapping camera-ready and Budapest presentation logistics.ProductivitateFără avertismente★ 1,4 K↓ —
- pinme-uniwebpayglitternetwork/pinmeUse when generating, modifying, or reviewing PinMe Worker (Cloudflare Worker TypeScript) code that accepts payments through UniwebPay — payment links, products/prices, checkout sessions, payment status reads, refunds, subscriptions, or handling UniwebPay webhooks with @uniwebpay/sdk in a PinMe project.DevOpsFără avertismente★ 3,8 K↓ —
- new-skillhyhmrright/brooks-lintScaffold a new brooks-lint analysis skill so it passes `npm run validate` and `npm run evals` on the first try — generates skills/{name}/SKILL.md (with the mandatory "Do NOT trigger for:" clause and a Process section citing guide step ranges) plus skills/{name}/{name}-guide.md (sequentially numbered steps), then appends paired eval scenarios. Triggers when the maintainer asks to "add a new skill", "scaffold a skill", or "create a brooks-lint mode". Do NOT trigger for: editing an existing skill's content, adding a single eval to an existing skill, or authoring skills for some other plugin.RedactareFără avertismente★ 1,6 K↓ —
- setupmicrosoft/power-platform-skillsUse when Process Intelligence needs building, explicit cloud/account/environment configuration, sign-in, connection diagnostics, or recovery from an authentication error.AlteleFără avertismente★ 1,1 K↓ —
osdi-experiments
brycewang-stanford/Awesome-Journal-Skills
DesignActualizat 27 sept. 2026
De la autor
Use when designing or auditing the evaluation of an OSDI submission — choosing mature baselines and realistic workloads, structuring the section around research questions, measuring scalability and tail behavior, quantifying the design's costs, and fitting the evidence into the 12-page reviewed body.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill osdi-experiments -a claude-code
Se instalează în .claude/skills/osdi-experiments/ · 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
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (1)
- SKILL.md