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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 15 ore
46.854 de skill-uri
- kdd-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when splitting a KDD paper across its 8 content pages, the optional appendix after the references, and the cited repository, under the camera-ready rule capping references plus appendix at 3 of 12 pages. Covers appendix triage, reviewer-discretion reality, and the one-page cross-cycle resubmission change summary.ȘtiințăFără avertismente★ 1,3 K↓ —
- cloud-storage-webTencentCloudBase/CloudBase-AI-ToolkitComplete guide for CloudBase cloud storage using Web SDK (@cloudbase/js-sdk) - upload, download, temporary URLs, file management, and best practices.AlteleFără avertismente★ 1,2 K↓ —
- oma-coordinationfirst-fluke/oh-my-agentGuide for coordinating PM, Frontend, Backend, Mobile, and QA agents on complex projects via CLI. Use for manual step-by-step coordination and workflow guidance.TestareFără avertismente★ 1,4 K↓ —
- nsdi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NSDI submission — choosing traces, testbeds, and deployment evidence, sizing scale and failure-injection experiments, picking baselines that fight back, and reporting tail behavior so networked-systems reviewers can see where the design wins, loses, and breaks.DevOpsFără avertismente★ 1,3 K↓ —
- museum-arthuytieu/COG-second-brainSource authentic, high-res PUBLIC-DOMAIN artwork from museum open-access APIs (Met, Cleveland, SMK, Rijksmuseum, NGA, Art Institute of Chicago, Getty, Smithsonian) instead of AI-generated or generic-stock imagery. The default move whenever a visual needs an aesthetic, credible image (blog heroes, decks, social cards, essay/spec figures). Verified keyless recipes + licensing rules inside.MediaFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- oma-observabilityfirst-fluke/oh-my-agentIntent-based observability + traceability router across layers, boundaries, and signals. Routes to vendor-specific skills via category taxonomy; owns transport tuning, meta-observability, incident forensics. Use for observability, traceability, telemetry, APM, RUM, metrics, logs, traces, profiles, SLO, incident forensics, tracing architecture work.DevOpsFără avertismente★ 1,4 K↓ —
- oma-brainstormfirst-fluke/oh-my-agentExplore goals, constraints, and alternative approaches before choosing a design. Use when the user requests ideation or design exploration.PlanificareFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- interviewhashgraph-online/awesome-codex-pluginsInterview you one question at a time, each choice with a recommendation, to settle a big outcome before agents work alone. Use when: asked to interview you about a goal or plan.PlanificareFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- returner-cvmohitagw15856/pm-claude-skillsWrite a CV for someone returning to work after a career break (caring, health, parenting, travel, redundancy or anything else), presenting the gap honestly and briefly and leading with current, relevant evidence. Use when asked how do I explain a gap on my CV, write my CV after a career break, returning to work after maternity or caring, or my CV has a two-year gap. Produces a CV with the break stated in one plain line, recent evidence brought forward, a short spoken answer for interviews, and a list of returnship programmes and refreshers worth checking.RedactareFără 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★ 27,8 K↓ —
- oma-skill-creationfirst-fluke/oh-my-agentCreate or revise OMA skills and their references. Use for skill routing, execution contracts, conditional loading, and authoring validation.AlteleFără 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★ 11,2 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★ 11,2 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★ 11,2 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★ 11,2 K↓ —
- lancet-fitbrycewang-stanford/Awesome-Journal-SkillsUse when scoping a project and before any writing, to stress-test whether a study clears The Lancet's bar — clinically or public-health important, globally relevant, and likely to change practice or policy, often with an equity lens. Decides The Lancet vs a Lancet family title vs another general medical journal.TestareFără avertismente★ 1,3 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★ 11,2 K↓ —
- team-briefhuytieu/COG-second-brainGenerate daily team intelligence brief by cross-referencing GitHub, Linear, Slack, PostHog, meetings, and braindumps with two-way Linear sync-backAlteleFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- oma-frontendNoufirst-fluke/oh-my-agentImplement or modify web UI in React, Next.js, or Angular. Use for components, pages, styles, forms, and frontend state or data flows.DesignFără avertismente★ 1,4 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↓ —
- redis-connectionsredis/agent-skillsRedis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.OficialAlteleFără avertismente★ 171↓ —Apare și în 1 alt depozit
- env-linthashgraph-online/awesome-codex-pluginsValidate .env files against .env.example without printing valuesAlteleFără avertismente★ 1,5 K↓ —
- inithashgraph-online/awesome-codex-pluginsFirst-time Archcore setup. Wires the host (MCP config, hooks, CLAUDE.md/AGENTS.md managed block), measures the authored context the repo already holds, then composes a first-day seed — stack rule, run guide, data-model, integrations, config, entry points, public surface, a linked architecture overview, and specs for the top hotspot modules — shown in ONE preview and created on a single confirm. Modes, named as the first word: init import converts the repo's authored context — CLAUDE.md, AGENTS.md, .cursor/rules and other agent instructions, ADR and RFC folders, contributor docs, internal pages of a published docs site, recoverable git history — into native typed documents with no import marks, staged by a plan when the volume is large; init refresh adds facts that appeared since, or drills into one domain with init refresh <domain>. Use on a fresh clone, empty `.archcore/`, 'set up archcore', 'migrate our CLAUDE.md to archcore', 'import our docs and ADRs', or to wire host configs. Not for individual docs or pPlanificareFără avertismente★ 1,5 K↓ —
- vidseedshashgraph-online/awesome-codex-pluginsRegistry fallback entry point for the VidSeeds.ai MCP connector. Use the bundled domain skills for setup, efficiency, thumbnails, projects, analytics, local video, and publishing workflows.DateFără avertismente★ 1,5 K↓ —
setting-up-relayfile
AgentWorkforce/relay
RedactareActualizat ieri
De la autor
Use when an agent or human needs to set up relayfile end-to-end so agents can read and write provider files through a local mount. Covers `relayfile setup`, dynamic integration discovery with `relayfile integration available/search`, Nango and Composio backend selection, Atlassian site selection and metadata, cloud login, OAuth/connect flows, mount verification, `RELAYFILE_LOCAL_DIR` handoff, writeback status and retry commands, and key May 2026 cloud-mount gotchas.
Instalare
npx skills add AgentWorkforce/relay --skill setting-up-relayfile -a claude-code
Se instalează în .claude/skills/setting-up-relayfile/ · 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 instrucțiuniFolosește rețeauaLicență: APACHE-2.0
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- SKILL.md