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
- unslopsickn33/agentic-awesome-skillsPost-process AI-generated text through the unslop CLI to strip AI writing patterns before publishingRedactareFără avertismente★ 48,5 K↓ —
- web-component-designwshobson/agentsMaster React, Vue, and Svelte component patterns including CSS-in-JS, composition strategies, and reusable component architecture. Use when building UI component libraries, designing component APIs, or implementing frontend design systems.DesignFără avertismente★ 41,7 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↓ —
- dataset-curationwshobson/agentsPrepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.RedactareFără avertismente★ 41,7 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
- 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↓ —
- moatmrisickn33/agentic-awesome-skillsAnalyze AI disruption pressure across a business, map competitive exposure, and produce a 90-day defensive action plan.PlanificareFără avertismente★ 48,5 K↓ —
- incident-postmortemgithub/awesome-copilotUse when an outage, production incident, or significant service degradation has occurred and the team needs to write a structured blameless post-mortem. Triggers on phrases like "write a post-mortem", "incident review", "what went wrong", "outage report", "root cause analysis", or "RCA". Covers timeline reconstruction, contributing factor analysis, impact quantification, and action item generation with owners.RedactareFără 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↓ —
- 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↓ —
- 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↓ —
- hf-clisickn33/agentic-awesome-skillsCurated upstream guidance for Hf Cli; use when the workflow matches the user goal.InginerieFără avertismente★ 48,5 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↓ —
- 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↓ —
- jqsickn33/agentic-awesome-skillsExpert jq usage for JSON querying, filtering, transformation, and pipeline integration. Practical patterns for real shell workflows.AlteleFără avertismente★ 48,5 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↓ —
- 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↓ —
- cmuxsickn33/agentic-awesome-skillsControl cmux workspaces, panes, surfaces, and agent sessions safely from macOS terminal workflows.AlteleFără avertismente★ 48,5 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
- 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↓ —
- nikasickn33/agentic-awesome-skillsRuns repeatable AI work as checked, budgeted workflow files.ProductivitateFără avertismente★ 48,5 K↓ —
- learnsickn33/agentic-awesome-skillsHelp a user learn a topic through adaptive tutoring, lesson planning, practice, retrieval checks, explanations, study guides, or exercises. Use when the user asks to learn, understand, practice, drill, review, study, or be tutored on something.PlanificareFără avertismente★ 48,5 K↓ —Apare și în 1 alt depozit
bulletmind
sickn33/agentic-awesome-skills
ProductivitateActualizat alaltăieri
De la autor
Convert input into clean, structured, hierarchical bullet points for summarization, note-taking, and structured thinking.
Instalare
npx skills add sickn33/agentic-awesome-skills --skill bulletmind -a claude-code
Se instalează în .claude/skills/bulletmind/ · 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 95
Securitate100
Proveniență95
Întreținere100
Licență100
Adopție72
Fișiere (2)
- EXAMPLES.md
- SKILL.md