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 5 ore
49.409 skill-uri
- rendering-strategieskostja94/marketing-skillsWhen the user wants to choose or optimize rendering strategy for SEO. Also use when the user mentions "SSR," "SSG," "CSR," "ISR," "static rendering," "dynamic rendering," "server-side rendering," "client-side rendering," "JavaScript rendering," "pre-rendering," "prerender," "content in initial HTML," or "crawler visibility." For crawl issues, use site-crawlability.MediaFără avertismente★ 1,1 K↓ —
- soda-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission — the no-page-limit full-version norm, the title-page abstract, 11-point single-column letter format, lightweight double-blind rules, HotCRP entry, and the July AoE deadline with its summary-rejection triggers.ProductivitateFără avertismente★ 1,4 K↓ —
- ui-design-systemalirezarezvani/claude-skillsUse when building a design system: tokens, component docs, responsive scales or developer handoff. Generates tokens with design_token_generator.py.DesignFără avertismente★ 29,2 K↓ —
- run-without-youalirezarezvani/claude-skillsUse when a graded managed agent should run on a schedule, on an event trigger or on demand ('run it every morning'). Validates cron with cron_validator.py and builds the deployment with deployment_builder.py.DevOpsFără avertismente★ 29,2 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↓ —
- sigir-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a SIGIR project calendar — backward-planning from the January-pattern abstract/paper deadlines to the July conference, sequencing evidence freeze, significance testing, and anonymization, coordinating multi-track decisions, and wiring the SIGIR/ECIR/CIKM/WSDM/SIGIR-AP fallback calendar into one pipeline.ProductivitateFără avertismente★ 1,4 K↓ —
- sci-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which sci-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for Science (AAAS). Routes — it does not replace — the specialized skills.ProductivitateFără avertismente★ 1,4 K↓ —
- uist-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when performing the final pre-upload audit of a UIST paper in PCS — the abstract-then-paper deadline pair, 10-page/5-page two-column limits with desk-reject enforcement, anonymous acmart options, video-figure and supplementary uploads, the prior-work overlap rule, and deadline-week sequencing.MediaFără avertismente★ 1,4 K↓ —
- wacv-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a WACV submission before an OpenReview round deadline, covering the Round 1 vs Round 2 choice, the Applications vs Algorithms track field, the 8-page-including-figures limit, double-blind anonymity and OpenReview-profile requirements, the anonymized supplement, dual submission, and desk-reject triage.PlanificareFără avertismente★ 1,4 K↓ —
- flight-trackermohitagw15856/pm-claude-skillsTrack live aircraft positions with zero API keys — adsb.lol's open ADS-B network primary, OpenSky fallback, via curl: by callsign, registration, or area. Use when asked where is this flight right now, what planes are overhead, track a tail number, or is that flight in the air. Produces the live position with altitude, speed, and heading interpreted, the overhead list for a location, and the rerunnable command — with the positions-not-schedules boundary stated honestly.MarketingFără 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↓ —
- homepage-generatorkostja94/marketing-skillsDeprecated compatibility entry for Homepage construction. This page is now maintained in Pagina; install and use page-builder to build a new Homepage.AlteleFără avertismente★ 1,1 K↓ —
- explain-simplymohitagw15856/pm-claude-skillsExplain anything in plain language — a contract clause, a medical term, a tax rule, a tech acronym, a news story — layered from a one-liner to as much depth as you want. Use when asked to explain like I'm 5, explain this simply, break this down in plain English, or what does this even mean. Produces the one-sentence version, a plain-language explanation with a concrete analogy, the 'why it matters to you,' and an honest note on anything genuinely uncertain or oversimplified.ȘtiințăFără avertismente★ 1,5 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★ 27,9 K↓ —
- acl-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising an ACL paper for computational-linguistics house style, covering task-first framing, linguistic examples tied to quantitative error analysis, scoping language claims to tested languages, LLM-era claim discipline, anonymous self-reference, Limitations prose, and compressing into the 8-page or 4-page ACL format.RedactareFără avertismente★ 1,4 K↓ —
- pr-review-fixTencentCloudBase/CloudBase-AI-ToolkitPeriodically analyze open pull requests for CI failures, code review feedback, and quality issues, then fix them in batch. Use this skill when the user asks to check PR status, triage CI failures, fix review comments, analyze open PRs, or run a scheduled PR health check across the repository.InginerieFără avertismente★ 1,2 K↓ —
- hep-cloudagentlas-ai/Agentlas-OSStaff a task only from the signed-in owner's Agent Cloud agents.ProductivitateFără avertismente★ 1,6 K↓ —
- colt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether a COLT (Conference on Learning Theory) paper needs numerical content at all — COLT has no experiments requirement — and, when numerics genuinely help, designing small illustrative simulations that visualize a proved bound, a separation, or a phase transition without diluting the theory.MediaFără avertismente★ 1,4 K↓ —
- saying-nomohitagw15856/pm-claude-skillsDecline a request, push back on scope, or protect priorities without burning the relationship. Use when asked how to say no, turn down a request, push back on your boss/stakeholder, decline extra work, or protect the roadmap from a pet feature. Produces a graceful, firm response — the no, the honest why, an alternative or trade-off, and the exact wording, tuned to who's asking.PlanificareFără avertismente★ 1,5 K↓ —
- cav-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a CAV (Computer Aided Verification) paper for a precise verification contribution on the first page, an explicit soundness/completeness statement, theorem-and-proof discipline in the LNCS page budget, fair benchmark claims, honest scope and limits, and double-blind wording for the anonymized categories.RedactareFără avertismente★ 1,4 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↓ —
- product-researchalirezarezvani/claude-skillsUse when planning or synthesizing user research: choosing the method, deciding how many participants, or turning coded notes into insights. Runs study_designer.py, saturation_planner.py and insight_synthesizer.py, which refuses single-source insights.ȘtiințăFără avertismente★ 29,2 K↓ —
knowledge-consolidation
huytieu/COG-second-brain
ProductivitateActualizat 23 oct. 2026
De la autor
Build frameworks from scattered insights across all braindumps and notes
Instalare
npx skills add huytieu/COG-second-brain --skill knowledge-consolidation -a claude-code
Se instalează în .claude/skills/knowledge-consolidation/ · 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