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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 7 ore
47.055 de skill-uri
- the-one-thingmohitagw15856/pm-claude-skillsCut a full plate down to the single highest-leverage move — the one thing that, done today, makes everything else easier or unnecessary. Use when asked what's the one thing I should focus on, help me prioritize, I have too much on and need to focus, or what matters most today. Produces your list weighed by leverage (not urgency or ease), the single most important thing surfaced with why it beats the rest, permission to let the rest wait, and a first step into it — because doing the one thing that matters beats doing ten that don't.AlteleFără avertismente★ 1,5 K↓ —
- sql-optimizermohitagw15856/pm-claude-skillsDiagnose a slow SQL query and produce a concrete optimization plan. Use when asked to optimize SQL, speed up a slow query, reduce a query's cost/scan, fix a timeout, or review a query plan. Produces an analysis — the likely bottleneck, what the plan is doing wrong (full scans, bad joins, spills), the specific rewrite and index/partition changes, and the expected impact, with the optimized query.DateFără avertismente★ 1,5 K↓ —
- resumemohitagw15856/pm-claude-skillsRédige un CV percutant, orienté résultats, qui passe les filtres ATS et décroche l'entretien. À utiliser quand on demande d'écrire ou de réécrire un CV, de transformer une expérience en CV, ou d'adapter un CV à une offre. Produit un CV sobre, en une colonne, compatible ATS — accroche, expérience en puces de réalisations chiffrées, compétences et formation — prêt à exporter en PDF mis en page.DocumenteFără avertismente★ 1,5 K↓ —
- content-strategyalirezarezvani/claude-skillsUse when deciding what content to create (topics, clusters, a blog or content plan), before listing ideas. Maps topic clusters with topic_cluster_mapper.py and ties each piece to a funnel stage and search demand.RedactareFără avertismente★ 29,1 K↓ —
- imc-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in an ACM IMC paper body versus its appendix and released artifact, covering the acmart page limits, the rule that decision-critical evidence and the Ethics discussion stay in the reviewed pages, double-blind supplementary material, and how to split a measurement paper between body, appendix, and dataset.ȘtiințăFără avertismente★ 1,3 K↓ —
- add-vercelnanocoai/nanoclawAdd Vercel deployment capability to NanoClaw agents. Installs the Vercel CLI in agent containers and sets up OneCLI credential injection for api.vercel.com. Use when the user wants agents to deploy web applications to Vercel.DevOpsFără avertismente★ 31,1 K↓ —
- acl-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when reasoning about how an ACL paper travels through ACL Rolling Review and conference commitment, covering reviewer and area-chair roles, meta-reviews, the commitment decision by senior area chairs and program chairs, Findings versus main-conference outcomes, ethics review escalation, and resubmission strategy across cycles.InginerieFără avertismente★ 1,3 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↓ —
- 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↓ —
- asc-wall-submitrorkai/app-store-connect-cli-skillsSubmit or update a Wall of Apps entry in the App-Store-Connect-CLI repository using `asc apps wall submit`. Use when the user says "submit to wall of apps", "add my app to the wall", or "wall-of-apps".InginerieFără avertismente★ 1,1 K↓ —
- debugging-livekit-agentsfcakyon/claude-codex-settingsDrives a live multi-turn conversation with a LiveKit agent running locally, using `lk agent debugger`. Use when the user says "test my agent", "try my agent", "does this work", or "why did it call that tool", after editing an agent to check how it behaves, or when an agent on a speech-to-speech model or one that mishears users needs checking. The default for a bare "test"; for regression tests use testing-livekit-agents, for graded runs running-livekit-simulations.InginerieFără avertismente★ 1,2 K↓ —Apare și în 1 alt depozit
- taisly-social-media-postinghashgraph-online/awesome-codex-pluginsConnect AI agents to Taisly through MCP to publish and schedule videos, inspect history, and manage reposts.MarketingFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- 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-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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- doca-ngaugeNouNVIDIA/skillsUse this skill when the operator is driving the DOCA ngauge tool to analyze, visualize, and debug network performance on a single node by probing NIC hardware counters and storing collected data in HDF5 format. Trigger even when the user does not say "DOCA ngauge" — implicit phrasings include "probe NIC hardware counters", "collect HDF5 performance data", "plot ngauge output", "sample counters on BlueField/ConnectX", "measure network performance on a single node", "debug network performance with hardware counters", "run ngauge YAML config", "parse ngauge HDF5 output". Refuse and route elsewhere: DOCA install/bring-up to doca-setup, version questions to doca-version, hardware/firmware state changes to doca-hardware-safety, raw packet I/O to doca-eth, and host-DPU messaging to doca-comch.InginerieFără avertismente★ 3,8 K↓ —
- planhashgraph-online/awesome-codex-pluginsCreate a structured implementation plan with parallel agent research before coding.PlanificareFără avertismente★ 1,5 K↓ —
- doca-devemuNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying `doca_devemu_*_cap_*`, or debugging DOCA_ERROR_* from a `doca_devemu_*` call. Trigger even when the user does not say "devemu" — typical implicit phrasings include "expose a custom PCIe device from BlueField to the host", "host should see a virtio NIC backed by my DPU code", "lspci does not show my emulated device", "device enumerated but no driver binds", "DPU sees nothing when host kicks the queue", or "virtio feature negotiation failed at bind". Refuse and route elsewhere for the packaged DOCA SNAP / Virtio-net Services, host-side virtio kernel drivers, backend body design, or standard BlueField NIC behavior — those belong to other skills.DesignFără avertismente★ 3,8 K↓ —
- triggershashgraph-online/awesome-codex-pluginsCreate and manage triggers that watch for something (a job that finishes, a service that goes down, a failing CI run, a new release, a price crossing a threshold) and hand a task to Codex when it happens. Use when the user wants to be told, or wants something done, "when X happens", and when handling a message that starts with [self-starter].ProductivitateFără avertismente★ 1,5 K↓ —
- design-tokenshashgraph-online/awesome-codex-pluginsUse when the user asks for design tokens, DTCG tokens, theme systems, color/typography/spacing/radius/elevation/motion tokens, translating tokens, exporting tokens, making a Compose color scheme from a palette, auditing tokens, or sharing a single token source across web and native. Generates, audits, and translates W3C DTCG tokens to Tailwind v4 @theme, CSS variables, Compose Material3 ColorScheme/Typography, SwiftUI Color/Font extensions, and WinUI ResourceDictionary while preserving semantic naming and platform constraints. SKIP when no token/theme-system work is involved.DesignFără avertismente★ 1,5 K↓ —
- fixing-flaky-testsamplifthq/openmeldGuides an agent through reproducing, root-causing, fixing, and validating flaky tests in the PostHog monorepo. Use when a test fails intermittently in CI but passes on rerun or locally, when `hogli ci:insights` or the debugging-ci-failures skill classifies a failure as a flaky test, when given a GitHub Actions URL for a flaky job, when asked to check Trunk Flaky Tests for a test, PR, or master, or when asked to deflake, stabilize, or fix a flaky Jest, pytest, or Playwright test. Core discipline: reproduce locally before changing anything, fix the root cause (never mask it with sleeps, retries, or bigger timeouts), and prove the fix with an N-run validation loop sized to the observed failure rate. Stabilizing is not the only valid outcome — the skill also gates whether the test should exist, so deleting a test that catches nothing real, or re-leveling one that flakes because of the level it runs at, are first-class endings.TestareFără avertismente★ 1,4 K↓ —
content-factory
huytieu/COG-second-brain
AlteleActualizat 23 oct. 2026
De la autor
Autonomous content pipeline - scout announcements in your field, triage by trend momentum and personal angle, produce posts/blogs/videos in your voice with ledger-based dedup, hard volume caps, and screenshot-verified publishing
Instalare
npx skills add huytieu/COG-second-brain --skill content-factory -a claude-code
Se instalează în .claude/skills/content-factory/ · 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: MIT
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De ce 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (1)
- SKILL.md