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.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 7 ore
49.492 de skill-uri
- e2e-testinghashgraph-online/awesome-codex-pluginsPlaywright E2E testing patterns, Page Object Model, configuration, CI/CD integration, artifact management, and flaky test strategies.TestareFără avertismente★ 1,5 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↓ —
- mcp-case-overridesalibaba/skill-upPer-case mocked MCP override smoke skill used by skill-up e2e tests.TestareFără avertismente★ 1,4 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↓ —
- slop-gatehuytieu/COG-second-brainSelf-evolving second brain with 35 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.DesignFără avertismente★ 1,3 K↓ —
- grant-proposalmohitagw15856/pm-claude-skillsWrite a structured grant proposal or funding application for any grant type. Use when asked to write a grant proposal, funding application, research grant, charitable grant, or innovation fund application. Produces a complete proposal with project summary, rationale, methodology, impact, and budget narrative.ȘtiințăFără avertismente★ 1,5 K↓ —
- verification-before-completionGanyuanRan/AegisUse when about to claim work is complete, fixed, passing, verified, release-ready, or ready to commit, merge, publish, or hand off.InginerieFără avertismente★ 1,4 K↓ —
- add-opencodenanocoai/nanoclawUse OpenCode as an agent provider. OpenRouter, OpenAI, Google, DeepSeek, etc. via OpenCode config — not the Anthropic Agent SDK. Per group via `ncl groups config update --provider opencode`; host passes OPENCODE_* and XDG mount when spawning containers.AlteleFără avertismente★ 31,1 K↓ —
- broNouhashgraph-online/awesome-codex-pluginsSay your previous reply again in plain, everyday language with the jargon removed, shorter and simpler. Use for "/bro", "say that simply", "explain that like a normal person".AlteleFără avertismente★ 1,5 K↓ —
- data-formshuytieu/COG-second-brainPick the right way to represent a dataset so a reader gets the finding in three seconds — a catalog of 20+ chart and diagram forms with when-to-use and failure modes, plus the encoding decisions that make any of them readable (takeaway headline, direct labels, kill the axis, highlight-and-mute, show the caveat). Style-agnostic — use with whatever palette or design system the destination already has. Use when charting survey results, benchmark data, usage metrics, or research findings for a post, brief, deck, or report, and whenever the default bar chart feels like it's burying the point.DocumenteFără avertismente★ 1,3 K↓ —
- fizz-convertpashov/skillsConvert English-language properties in PROPERTIES.md (produced by the Fizz skill) into Solidity assertions inside the existing fuzz harness, then flip their checkboxes. Trigger on "fizz-convert", "convert properties", "implement properties from PROPERTIES.md", "convert PROPERTIES.md to Solidity".AlteleFără avertismente★ 1,3 K↓ —
- resumemohitagw15856/pm-claude-skills撰写一份以成就为主线、能通过 ATS 筛选并赢得面试的简历/CV。当被要求撰写或重写简历、把经历整理成简历、或针对某个职位定制简历时使用。产出一份干净的单栏、ATS 友好的简历——概要、以量化成就要点呈现的工作经历、技能与教育背景，可直接导出为排版精美的 PDF。DocumenteFără avertismente★ 1,5 K↓ —
- conext-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM CoNEXT campaign backward from a deadline, covering the choice between the December and June submission cycles, the mandatory registration step, the one-shot major-revision window, the reproducibility badge opt-in due at submission, PACMNET camera-ready, and presentation — all on CoNEXT's distinctive two-cycles-per-year calendar.ProductivitateFără avertismente★ 1,4 K↓ —
- colt-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.DocumenteFără avertismente★ 1,4 K↓ —
- cikm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submission rules.ȘtiințăFără avertismente★ 1,4 K↓ —
- colm-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting a COLM acceptance into the final paper — the August 7 camera-ready deadline in 2026, de-anonymization and the one-page acknowledgments allowance, folding rebuttal commitments into the text, publishing on OpenReview, releasing artifacts publicly, and planning the October conference in San Francisco.ȘtiințăFără avertismente★ 1,4 K↓ —
- colm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts correctly, distinguishing COLM's three-edition archive from adjacent venues' archives, and keeping self-citation double-blind safe.ȘtiințăFără 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↓ —
- cikm-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical program of a CIKM paper — matching evidence to the claim's lanes across retrieval, mining, and knowledge-management evaluation cultures, choosing datasets and baselines that survive a blended panel, isolating the boundary mechanism, and meeting applied-track deployment-evidence bars.DevOpsFără avertismente★ 1,4 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↓ —
- chi-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising the prose of an ACM CHI paper — contribution statements, structure for mixed reviewer audiences, participant voice, calibrated claims, accessible and bias-free writing, and length discipline in a venue that reviews words against contribution instead of pages.RedactareFără avertismente★ 1,4 K↓ —
- colm-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical core of a COLM paper — contamination analysis for evaluation data, fair baselines under matched prompting and compute, pinned model versions and decoding parameters, uncertainty over runs and samples, scaling coverage, and honest reporting of API-model comparisons.ȘtiințăFără avertismente★ 1,4 K↓ —
- ase-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when shaping the prose and structure of an ASE (IEEE/ACM Automated Software Engineering) research paper, covering the automation-first first-page arc, stating the automated task precisely, keeping the tool runnable and the model-swap test in mind, threats-as-argument, and the 10+2 page discipline on the ACM acmart template.RedactareFără avertismente★ 1,4 K↓ —
onboarding-wizard-design
rampstackco/claude-skills
DesignActualizat 27 oct. 2026
De la autor
Designing first-run product onboarding wizards that get users to the ah-ha moment without overwhelming them. Step architecture, progressive disclosure, escape hatches, completion incentives, drop-off measurement. Honest about tutorial-overload (dump everything upfront), skip-friendly-empty (skipped onboarding leads to abandoned product), and earned-progressive-disclosure (right things at the right moments) patterns. Triggers on onboarding wizard, product onboarding, first-run experience, signup flow, activation flow, FRX, time-to-value, ah-ha moment design. Also triggers when activation rates are low, when users skip onboarding and never return, when onboarding flows are being scoped for the first time, or when audience research shows users not finding key features.
Instalare
npx skills add rampstackco/claude-skills --skill onboarding-wizard-design -a claude-code
Se instalează în .claude/skills/onboarding-wizard-design/ · 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
Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (11)
- README.md
- SKILL.md
- references/ah-ha-moment-engineering.md
- references/common-onboarding-failures.md
- references/drop-off-measurement-templates.md
- references/progressive-disclosure-patterns.md
- references/skip-and-resume-mechanics.md
- references/step-architecture-patterns.md
- references/user-type-variation-patterns.md
- references/wizard-anti-patterns.md
- references/wizard-decision-criteria.md