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.
45.604 skill-uri din 2.205 depozite · actualizat acum 5 ore
45.604 skill-uri
- keyword-researchRyze-AI-Adgent/open-seo-mcp-skillsKeyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan. Use when asked to "find keywords", "keyword research for X", "what should I rank for", or "build a keyword plan".ȘtiințăFără avertismente★ 7,1 K↓ —
- create-custom-agentdotnet/skillsCreates VS Code custom agent files (.agent.md) for specialized AI personas with tools, instructions, and handoffs. Use when scaffolding new custom agents, configuring agent workflows, or setting up agent-to-agent handoffs.PlanificareFără avertismente★ 5,7 K↓ —
- agentic-workflowsdotnet/skillsRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.DesignFără avertismente★ 5,7 K↓ —
- melonjs-3dmelonjs/melonJSUse this skill for anything 3D or 2.5D in melonJS — Camera3d, Mesh, InstancedMesh, Sprite3d billboards, Light3d, ground shadows, glTF/GLB scenes, and depth sorting. Covers the Y-down/+Z-forward convention that is the inverse of OpenGL, the cameraClass opt-in, clip planes, and what does not work on the Canvas fallback. Triggers on: Camera3d, Mesh, InstancedMesh, Sprite3d, Trail3d, ribbon, exhaust trail, Light3d, billboard, glTF, glb, 3D, 2.5D, depth, cameraClass, fov, setClipPlanes, setFog, fog, distance fog, height fog, heightFalloff, transparent, transparency, alpha, blendMode, fade, castGroundShadow, lit, setBasis, getBasis, lookAt, up vector, gimbal, slerp, great circle, turn a direction.PlanificareFără avertismente★ 6,4 K↓ —
- deepspeedOrchestra-Research/AI-Research-SKILLsExpert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attentionAlteleFără avertismente★ 13,9 K↓ —
- lambda-labs-gpu-cloudOrchestra-Research/AI-Research-SKILLsReserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.AlteleFără avertismente★ 13,9 K↓ —
- sentencepieceOrchestra-Research/AI-Research-SKILLsLanguage-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.ProductivitateFără avertismente★ 13,9 K↓ —
- openrlhf-trainingOrchestra-Research/AI-Research-SKILLsHigh-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.PlanificareFără avertismente★ 13,9 K↓ —
- whisperOrchestra-Research/AI-Research-SKILLsOpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.MediaFără avertismente★ 13,9 K↓ —
- self-awarenessaipoch/open-scienceInspect Open-Science's JavaScript control REPL, discover managed Project files, Sessions, and Agent Frames, and safely feature-gate host.* calls with host.capabilities(). Use when an Agent needs to discover available host APIs, locate an Artifact or Upload Version, diagnose a Session, or read a Frame transcript in the current Project.ȘtiințăFără avertismente★ 5,4 K↓ —
- indication-dossieraipoch/open-scienceGenerate a therapeutic indication dossier. Covers the patient population, epidemiology, disease biology, standard of care, regulatory precedent, and landmark clinical trials.ȘtiințăFără avertismente★ 5,4 K↓ —
- competitor-gapRyze-AI-Adgent/open-seo-mcp-skillsFind keywords a competitor ranks for that the user's site doesn't — the content gap, prioritized by volume and winnability. Use when asked "what does competitor.com rank for", "keyword gap vs X", "steal competitor keywords", or "why do they outrank us".AlteleFără avertismente★ 7,1 K↓ —
- melonjs-particles-and-trailsActualizatmelonjs/melonJSUse this skill for particle effects and motion trails in melonJS — ParticleEmitter configuration, burst versus stream emission, the referenceSpace frame of reference introduced in 20.2, 3D particle motion through elevation and minSpread/maxSpread in 20.8, and the Trail renderable. Covers the emitter that silently does nothing until you call an emit method. Triggers on: Trail3d, ribbon, exhaust trail, speed streak, ski track, tyre mark, ribbonNormal, ParticleEmitter, particles, burstParticles, streamParticles, referenceSpace, ParticleEmitterSettings, elevation, minSpread, maxSpread, spawn area, Trail, explosion, smoke, sparks, debris, ring, exhaust, emitter, tintOverLife, colour over life, color over life, flame, fire.MediaFără avertismente★ 6,4 K↓ —
- esmfold2aipoch/open-scienceBiohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al. 2026, github.com/Biohub/esm). Single-sequence and MSA modes; protein, DNA, RNA, ligand (CCD/SMILES), modified residues. FoldBench Ab-Ag 50-55%, PPI 70-77% DockQ-pass. Also covers the ESMC-{300M,600M,6B} protein language models from the same release: masked-LM logits, hidden states, mutation scoring, contact prediction, and the SAE interpretability head. MIT-licensed weights on HuggingFace org `biohub`. Use this skill when: (1) Predicting complex structures with single-sequence input, (2) Validating designed binders with ESMFold2-Fast, (3) Running ESMFold2 with MSA input, (4) Getting ESMC embeddings or per-residue mutation scores, (5) Choosing kernel backend and sampling-step settings for paper-faithful throughput.ȘtiințăFără avertismente★ 5,4 K↓ —
- customizeaipoch/open-scienceUse when the user wants to create or manage a Specialist agent or create, revise, publish, or delete a Skill through the conversational `/Customize` entry. Routes Skill work to the internal skill-creator and handles Specialist work through the JavaScript host.agents SDK.PlanificareFără avertismente★ 5,4 K↓ —
- fair-esm2aipoch/open-scienceEmbed proteins with Meta AI's ESM-2 (`fair-esm` package). Use this skill when: (1) Extracting per-residue or per-sequence embeddings for downstream ML, (2) Masked-LM likelihood / mutation effect scoring, (3) Contact prediction from a sequence.AlteleFără avertismente★ 5,4 K↓ —
- diffdockaipoch/open-sciencePredict small-molecule binding poses with DiffDock-L (Corso et al. 2023/2024, github.com/gcorso/DiffDock) — blind diffusion docking that places a ligand into a protein pocket without a predefined search box and ranks the samples with a learned confidence model. Reach for this skill to dock a SMILES or SDF against a PDB, to generate ranked 3D poses for a small fragment library, or to get a starting pose for downstream rescoring. DiffDock predicts geometry, not affinity.ȘtiințăFără avertismente★ 5,4 K↓ —
- proteinmpnnaipoch/open-scienceInverse-fold a protein backbone (PDB structure) into amino-acid sequence with ProteinMPNN (Dauparas et al. 2022, github.com/dauparas/ProteinMPNN). Reach for this skill to run sequence design on RFdiffusion backbones, to redesign one chain of a PDB while holding interface residues fixed, or to generate a temperature-swept set of sequences for downstream folding.DesignFără avertismente★ 5,4 K↓ —
- paperjsxcomposio-community/awesome-codex-skillsGenerate PPTX presentations, DOCX documents, XLSX spreadsheets, and PDF reports from structured JSON input using PaperJSX.DocumenteFără avertismente★ 17 K↓ —
- mirrord-prev-envmetalbear-co/mirrordHelp users create and manage mirrord preview environments — running a modified service as an isolated pod in a shared Kubernetes cluster, scoped by an environment key and HTTP/queue traffic filtering, so teams can validate and review changes against real traffic without affecting live services. Use when a developer wants to run "mirrord preview" ad hoc, share a preview via a link (mirrord-share-ingress), or wire preview environments into CI with the metalbear-co/mirrord-preview GitHub Action (e.g. per-PR previews, least-privilege cluster access).DevOpsFără avertismente★ 5,4 K↓ —
- chai1aipoch/open-scienceStructure prediction for protein, nucleic-acid, and small-molecule complexes with the Chai-1 foundation model (Chai Discovery 2024, github.com/chaidiscovery/chai-lab). Reach for this skill to predict an antibody-antigen or protein-ligand complex from a single FASTA, to re-fold designed binders as an AlphaFold-multimer alternative, or to drive co-folding from Python for batched campaigns on a GPU.ȘtiințăFără avertismente★ 5,4 K↓ —
- mirrord-db-branchingmetalbear-co/mirrordHelps users configure mirrord.json for database branching, enabling isolated database copies for safe development and testing. Use when the user wants to set up MySQL, MariaDB, PostgreSQL, MSSQL, MongoDB, Redis, DynamoDB, ClickHouse, Google Spanner, Amazon S3, turbopuffer, or generic branches, configure copy modes, connection sources, schema migrations, IAM authentication, or manage database branches.TestareFără avertismente★ 5,4 K↓ —
- scgptaipoch/open-scienceEmbed and annotate single-cell expression data with scGPT, a foundation model for single-cell biology. Use this skill when: (1) Producing cell embeddings from an AnnData for clustering/integration, (2) Zero-shot or fine-tuned cell-type annotation, (3) Gene-level representation for perturbation/GRN tasks. For probabilistic single-cell models (scVI etc.), use the scvi-tools library.ȘtiințăFără avertismente★ 5,4 K↓ —
- create-plancomposio-community/awesome-codex-skillsCreate a concise plan. Use when a user explicitly asks for a plan related to a coding task.PlanificareFără avertismente★ 17 K↓ —
linkedin-thread-monitor
sergebulaev/linkedin-skills
MarketingActualizat acum 3 zile
De la autor
Track which of your LinkedIn comments earned author replies. Flags the 6-24h warm-reply window where thread momentum peaks, classifies threads as hot/warm/cool/dormant, and routes warm ones to linkedin-reply-handler for follow-up drafts. Powered by Apify, no LinkedIn login. Triggers on "what threads need follow-up", "author replied", "monitor my comments". Not for analyzing likers on a post (use linkedin-engager-analytics).
Instalare
npx skills add sergebulaev/linkedin-skills --skill linkedin-thread-monitor -a claude-code
Se instalează în .claude/skills/linkedin-thread-monitor/ · 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
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De ce 91
Securitate100
Proveniență85
Întreținere100
Licență100
Adopție59
Fișiere (3)
- SKILL.md
- references/output-spec.md
- references/thread-timing.md