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.
45.100 de skill-uri din 2.196 de depozite · actualizat acum 8 ore
45.098 de skill-uri
- mobile-android-designwshobson/agentsMaster Material Design 3 and Jetpack Compose patterns for building native Android apps. Use when designing Android interfaces, implementing Compose UI, or following Google's Material Design guidelines.DesignFără avertismente★ 41,7 K↓ —
- unslopsickn33/agentic-awesome-skillsPost-process AI-generated text through the unslop CLI to strip AI writing patterns before publishingRedactareFără avertismente★ 48,5 K↓ —
- ai-loopsickn33/agentic-awesome-skillsRuns a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work.PlanificareFără avertismente★ 48,5 K↓ —
- unshipsickn33/agentic-awesome-skillsCompare AI agent-made UI variants locally in a real app, then keep one and clean up unused temporary code.DesignFără avertismente★ 48,5 K↓ —Apare și în 1 alt depozit
- before-you-buildwshobson/agentsPre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.DesignFără avertismente★ 41,7 K↓ —
- semantic-kernelgithub/awesome-copilotCreate, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.PlanificareFără avertismente★ 40,4 K↓ —
- eval-harness-firstwshobson/agentsBuild the evaluation harness that gates every fine-tuning run — golden sets, per-failure-mode graders, judge calibration, and base-model baselines. Use when starting a fine-tuning effort, when converting traces into an eval set, or when calibrating a judge against human labels.AlteleFără avertismente★ 41,7 K↓ —
- grpo-rlvr-trainingwshobson/agentsTrain reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.InginerieFără avertismente★ 41,7 K↓ —
- lora-qlora-recipeswshobson/agentsConfigure LoRA and QLoRA supervised fine-tuning with current best-practice hyperparameters. Use when writing or reviewing a LoRA/QLoRA training configuration, choosing rank/alpha/target modules, or deciding between LoRA, QLoRA, and full fine-tuning.RedactareFără avertismente★ 41,7 K↓ —
- google-cloud-recipe-onboardinggoogle/skillsGuides a developer's first steps on Google Cloud, covering account creation, billing setup, project management, and deploying a first resource. Use when a new developer wants to initialize their first Google Cloud project, configure billing, and verify deployment. Don't use for enterprise organization setup (use Google Cloud Setup guided flow for that instead). Don't use for complex multi-project architectures.OficialDevOpsFără avertismente★ 21,6 K↓ —Apare și în 1 alt depozit
- cosmosdb-datamodelinggithub/awesome-copilotStep-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" fileDevOpsFără avertismente★ 40,4 K↓ —
- repo-standardizergithub/awesome-copilotPolish any GitHub repository's surface — labels (emoji rating tiers, P0–P3 priority, impact severity), issue forms, PR template, CI workflows, CODEOWNERS, rulesets, docs. Repo meta & config only — no code logic touched. Use when creating a new repo or polishing an existing one.InginerieFără avertismente★ 40,4 K↓ —
- llm-evaluationwshobson/agentsImplement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.TestareFără avertismente★ 41,7 K↓ —
- moyusickn33/agentic-awesome-skillsAnti-over-engineering guardrail that activates when an AI coding agent expands scope, adds abstractions, or changes files the user did not request.InginerieFără avertismente★ 48,5 K↓ —
- accessibility-compliancewshobson/agentsImplement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.JuridicFără avertismente★ 41,7 K↓ —
- multi-reviewer-patternswshobson/agentsCoordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.InginerieFără avertismente★ 41,7 K↓ —
- brand-landingpagewshobson/agentsBrand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens — use frontend-design instead.DevOpsFără avertismente★ 41,7 K↓ —
- shortsickn33/agentic-awesome-skillsRewrite the previous response more briefly while preserving the substance.AlteleFără avertismente★ 48,5 K↓ —Apare și în 1 alt depozit
- breakdown-epic-pmgithub/awesome-copilotPrompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.PlanificareFără avertismente★ 40,4 K↓ —
- honosickn33/agentic-awesome-skillsBuild ultra-fast web APIs and full-stack apps with Hono — runs on Cloudflare Workers, Deno, Bun, Node.js, and any WinterCG-compatible runtime.DevOpsFără avertismente★ 48,5 K↓ —
- cmuxsickn33/agentic-awesome-skillsControl cmux workspaces, panes, surfaces, and agent sessions safely from macOS terminal workflows.AlteleFără avertismente★ 48,5 K↓ —
- nikasickn33/agentic-awesome-skillsRuns repeatable AI work as checked, budgeted workflow files.ProductivitateFără avertismente★ 48,5 K↓ —
- visual-design-foundationswshobson/agentsApply typography, color theory, spacing systems, and iconography principles to create cohesive visual designs. Use when establishing design tokens, building style guides, or improving visual hierarchy and consistency.DesignFără avertismente★ 41,7 K↓ —
- hf-clisickn33/agentic-awesome-skillsCurated upstream guidance for Hf Cli; use when the workflow matches the user goal.InginerieFără avertismente★ 48,5 K↓ —
adaptyv
K-Dense-AI/scientific-agent-skills
De la autor
Uses the Adaptyv Bio Foundry API and Python SDK to design protein characterization experiments, estimate costs, submit sequences, monitor laboratory progress, and retrieve results. Applies to Adaptyv Foundry, its target catalog, binding screening and affinity assays, thermostability, expression, fluorescence, epitope binning, and enzyme activity workflows, including code using adaptyv or FoundryClient.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill adaptyv -a claude-code
Se instalează în .claude/skills/adaptyv/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 95
Fișiere (2)
- SKILL.md
- references/api-endpoints.md