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 1 oră
49.409 skill-uri
- debugging-websocket-issuesAgentWorkforce/relayUse when seeing WebSocket errors like "Invalid frame header", "RSV1 must be clear", or "WS_ERR_UNEXPECTED_RSV_1" - covers multiple WebSocketServer conflicts, compression issues, and raw frame debugging techniquesInginerieFără avertismente★ 1,1 K↓ —
- github-oauth-nango-integrationAgentWorkforce/relayUse when implementing GitHub OAuth + GitHub App authentication with Nango - provides two-connection pattern for user login and repo access with webhook handlingAlteleFără avertismente★ 1,1 K↓ —
- senior-backendActualizatalirezarezvani/claude-skillsBuild and fix backend services: REST or GraphQL APIs, auth, microservices, PostgreSQL queries, migrations and load tests. Use whenever the user's API is slow or broken, needs login or auth added, a schema change, or a new endpoint or service scaffolded.TestareFără avertismente★ 29,2 K↓ —
- all-hands-deckmohitagw15856/pm-claude-skillsBuild an all-hands that lands with everyone from intern to VP — the mixed-altitude structure (the story for all, the numbers for some), the wins-with-names section done right, the hard-news slide handled straight, and the Q&A design that gets real questions. Use when asked build the all-hands deck, make the monthly town hall not boring, how do we share the numbers with everyone, or announce this change at all-hands. Produces the segment structure, the altitude-mixed content rules, the hard-news handling, and the Q&A mechanics.DocumenteFără avertismente★ 1,5 K↓ —
- creating-agent-skillsAgentWorkforce/relayUse when creating Agent Skills packages (SKILL.md format) for Codex CLI, GitHub Copilot, or Amp - provides the agentskills.io specification with frontmatter constraints, directory structure, and validation rulesPlanificareFără avertismente★ 1,1 K↓ —
- run-organic-social-platform-researchgooseworks-ai/goose-skillsResearches how one social platform works right now from dated sources (what gets reach, formats rising and fading, how small accounts get seen, recent changes) and finds what is getting watched in a given niche there, with linked examples and engagement read against each author's baseline. Use alone when you already have the platform and niche; otherwise run run-organic-social.ȘtiințăFără avertismente★ 1,3 K↓ —
- design-native-extension-featuremicrosoft/power-platform-skillsCapture a 2-3 line pitch from the user, draft a product overview (PRD.md) and a technical design (ARCHITECTURE.md) for a third-party `.ppmplugin` native control, then walk through every operation's iOS + Android implementation strategy with opinionated recommendations (library choice, hosting, key APIs, edge cases) and capture the agreed spec in ARCHITECTURE.md §3.<n>. The depth of ARCHITECTURE.md is what lets the scaffold skill generate complete working code instead of TODO placeholders. Iterates with the user until they approve both docs. Optionally seeds from a design doc / FRD URL. PRD.md + ARCHITECTURE.md are the source of truth for every downstream skill (generate, build, assemble). Run this BEFORE any code is generated.DesignFără avertismente★ 1,1 K↓ —
- emil-design-engAgentWorkforce/relayThis skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.DesignFără avertismente★ 1,1 K↓ —
- planning-with-filesActualizatOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. 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. Optional gated mode can request continuation only when the host supports it 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↓ —
- test-native-extensionmicrosoft/power-platform-skillsValidate a third-party control repo across four automated layers plus one printed manual recipe. Layer 1 asserts native-source structure (Android getName() and iOS +moduleName to manifest nativeModule; @ReactMethod / RCT_EXPORT_METHOD to methods; no @ReactModule) plus load/init readiness (ReactPackage public no-arg constructor, iOS [cls new] no-arg init, requiresMainQueueSetup NO, non-throwing eager construction), so launch-time crashes surface before any build. Layer 2 validates the committed `./manifest.json` against the ppmplugin-format rules. Layer 3 asserts request/response/error-code agreement across native and PCF. Layer 4 compiles the PCF (auto-skipped if absent). Layer 5 prints a device end-to-end recipe. Native compile belongs to /build-android-binary and /build-ios-binary — this is the cheap structural pre-flight before those slow builds. Reports pass/fail per layer with a fix hint and updates .extension-state.md.TestareFără avertismente★ 1,1 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↓ —
- 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↓ —
- research-competitors-category-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief covering the whole category, including searches, AI answers, community threads and category ad winners. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- research-audience-account-sourcinggooseworks-ai/goose-skillsStep of the research-audience playbook: finds candidate accounts matching the fit definition, confirms gates, applies exclusions and dedupes. Run research-audience instead; not for direct use.ȘtiințăFără avertismente★ 1,3 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↓ —
- agentlas-auto-activationagentlas-ai/Agentlas-OSUse when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.ProductivitateFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- analyze-performance-call-and-learngooseworks-ai/goose-skillsStep of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.TestareFără avertismente★ 1,3 K↓ —
- search-shared-sessionsAgentWorkforce/relaySearch an Agent Relay workspace's shared coding-agent sessions for prior work, decisions, fixes, or the context behind a task or pull request. Use when team history could answer the user's question or prevent repeating an investigation.FinanțeFără avertismente★ 1,1 K↓ —
- baoyu-diagramJimLiu/baoyu-skillsCreate professional diagrams with configurable dark/light theme via CSS custom properties. Use this skill whenever the user asks for any kind of technical or conceptual diagram, visualization of a system, process flow, data flow, component relationship, network topology, decision tree, org chart, state machine, or any visual representation of structure/logic/process. Also trigger when the user says "画个图" "画一个架构图" "diagram" "flowchart" "sequence diagram" "draw me a ..." or uploads content and asks to visualize it. Outputs a dark-theme SVG, a light-theme SVG, and a @2x PNG of each.DesignFără avertismente★ 27,2 K↓ —
- design-from-appdaveebbelaar/bamaRebuild the look of an app the user likes as a native SwiftUI design kit, by measuring its screenshots (sizes, spacing, type, colors, icons), building its parts, and comparing pixel by pixel until they match. Use when the user names an app whose look they want, shares screenshots of one, or says "make it look like X".DesignFără avertismente★ 1,5 K↓ —
- implement-specdzhng/skillsImplement an existing spec through committed passes. Use for long or multi-pass specs that need maintenance checkpoints to periodically clean code, handoffs, priorities, and plan bloat before drift accumulates.PlanificareFără avertismente★ 1,4 K↓ —
- minutes-lintsilverstein/minutesHealth-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- run-organic-social-plan-calendargooseworks-ai/goose-skillsStep of the run-organic-social playbook: turns the audit, research and dated moments into a two-week grid of empty post slots. Run run-organic-social instead; not for direct use.PlanificareFără avertismente★ 1,3 K↓ —
codex
dzhng/skills
InginerieActualizat alaltăieri
De la autor
Use the local Codex CLI as an independent second agent. Two branches — (1) proactively run `codex review` for a second opinion after completing a substantive change, before presenting it as done or committing; (2) delegate a well-defined implementation task via `codex exec`, ONLY when the user explicitly asks for Codex to do it. Also covers how to prompt Codex.
Instalare
npx skills add dzhng/skills --skill codex -a claude-code
Se instalează în .claude/skills/codex/ · 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
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (1)
- SKILL.md