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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 10 ore
47.964 de skill-uri
- elasticsearch-ingestelastic/agent-skillsLoad CSV, JSON, and NDJSON files into Elasticsearch indices using the bulk API and explicit mappings when field types matter. Use when batch-importing local files, converting CSV rows or JSON arrays to NDJSON bulk format, confirming cluster connectivity with elastic es info before ingest, or verifying document counts and mappings after ingest — not for Logstash pipelines, Beats, custom scripts, or index-to-index reindex.OficialDateFără avertismente★ 603↓ —Apare și în 1 alt depozit
- architecture-designerJeffallan/claude-skillsUse when designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability. Use for system design, architecture review, microservices structuring, ADR authoring, scalability planning, and infrastructure pattern selection — distinct from code-level design patterns or database-only design tasks.PlanificareFără avertismente★ 12,1 K↓ —
- skill-creatorGentleman-Programming/gentle-aiTrigger: new skills, agent instructions, documenting AI usage patterns. Create LLM-first skills with valid frontmatter.AlteleFără avertismente★ 8,1 K↓ —
- fine-tuning-expertJeffallan/claude-skillsUse when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.DevOpsFără avertismente★ 12,1 K↓ —
- kibana-context-engineNouelastic/agent-skillsQuery Elastic Context Engine AI Indices, and the Knowledge Indicators (KIs) they store. Use when asked to search, explore, count, or answer questions from an AI Index / KI / Context Engine knowledge index, and when writing the ES|QL that queries one.OficialProductivitateFără avertismente★ 603↓ —Apare și în 1 alt depozit
- secure-code-guardianJeffallan/claude-skillsUse when implementing authentication/authorization, securing user input, or preventing OWASP Top 10 vulnerabilities — including custom security implementations such as hashing passwords with bcrypt/argon2, sanitizing SQL queries with parameterized statements, configuring CORS/CSP headers, validating input with Zod, and setting up JWT tokens. Invoke for authentication, authorization, input validation, encryption, OWASP Top 10 prevention, secure session management, and security hardening. For pre-built OAuth/SSO integrations or standalone security audits, consider a more specialized skill.InginerieFără avertismente★ 12,1 K↓ —
- kibana-alerting-ruleselastic/agent-skillsCreate and manage Kibana alerting rules. Use when creating, updating, or managing rule lifecycle (enable, disable, mute, snooze), choosing metric threshold rule types and params, or read-only find/list with tag filters.OficialAlteleFără avertismente★ 603↓ —Apare și în 1 alt depozit
- security-ml-integrationsNouelastic/agent-skillsInstall and manage Elastic security ML integration packages (beaconing, ded, dga, lmd, pad, problemchild). Handles the full lifecycle: pre-flight checks, Fleet package install, component templates, ingest pipelines, transforms, data views, ML anomaly detection jobs, and detection rules. Use when a user asks to install, set up, check the status of, or troubleshoot a security ML integration package.OficialSecuritateFără avertismente★ 603↓ —Apare și în 1 alt depozit
- kibana-anomaly-detectionelastic/agent-skillsElastic ML anomaly detection — investigation/RCA, score explanation, job lifecycle troubleshooting, and job operations. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit"/hard_limit, or configuring ML anomaly detection jobs. Reads results from `.ml-anomalies-*` and job state from ML REST APIs.OficialFinanțeFără avertismente★ 603↓ —Apare și în 1 alt depozit
- dotnet-core-expertJeffallan/claude-skillsUse when building .NET 8 applications with minimal APIs, clean architecture, or cloud-native microservices. Invoke for Entity Framework Core, CQRS with MediatR, JWT authentication, AOT compilation.PlanificareFără avertismente★ 12,1 K↓ —
- observability-k8s-investigationelastic/agent-skillsInvestigate Kubernetes workload, node, and control-plane issues using OTel telemetry (EDOT). Use when diagnosing pod failures (CrashLoopBackOff, OOMKilled, Error), node pressure, resource exhaustion, image pull failures, admission rejections, autoscaling anomalies, or correlating K8s state with application signals. OTel ingest path only — the legacy ECS Kubernetes integration shape is out of scope.OficialDevOpsFără avertismente★ 603↓ —Apare și în 1 alt depozit
- observability-onboardingelastic/agent-skillsOnboard an application into Elastic Observability with the Elastic Distribution of OpenTelemetry (EDOT): route on language and runtime, detect and replace a classic Elastic APM agent, apply the required OTLP configuration, and then verify with ES|QL that traces, metrics, and logs actually arrive under the expected service name. Use when adding observability to a service, migrating off the classic Elastic APM agent, or debugging why an instrumented service is not showing up in Elastic.OficialDevOpsFără avertismente★ 603↓ —Apare și în 1 alt depozit
- hf-cloud-aws-context-discoveryhuggingface/skillsDiscover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any other AWS work — deploying to SageMaker, creating resources, calling AWS APIs, or anything that touches an AWS account. Use it especially when the user has not specified a region or profile explicitly, when they say things like "use my AWS account", "deploy to AWS", "use my profile", or when about to make any AWS CLI or SDK call. Never guess the region or account ID — always use this skill to read it from the local configuration first.OficialDevOpsFără avertismente★ 11,2 K↓ —
- playwright-expertJeffallan/claude-skillsUse when writing E2E tests with Playwright, setting up test infrastructure, or debugging flaky browser tests. Invoke to write test scripts, create page objects, configure test fixtures, set up reporters, add CI integration, implement API mocking, or perform visual regression testing. Trigger terms: Playwright, E2E test, end-to-end, browser testing, automation, UI testing, visual testing, Page Object Model, test flakiness.TestareFără avertismente★ 12,1 K↓ —
- kotlin-specialistJeffallan/claude-skillsProvides idiomatic Kotlin implementation patterns including coroutine concurrency, Flow stream handling, multiplatform architecture, Compose UI construction, Ktor server setup, and type-safe DSL design. Use when building Kotlin applications requiring coroutines, multiplatform development, or Android with Compose. Invoke for Flow API, KMP projects, Ktor servers, DSL design, sealed classes, suspend function, Android Kotlin, Kotlin Multiplatform.PlanificareFără avertismente★ 12,1 K↓ —
- database-optimizerJeffallan/claude-skillsOptimizes database queries and improves performance across PostgreSQL and MySQL systems. Use when investigating slow queries, analyzing execution plans, or optimizing database performance. Invoke for index design, query rewrites, configuration tuning, partitioning strategies, lock contention resolution.DateFără avertismente★ 12,1 K↓ —
- kibana-dashboardselastic/agent-skillsCreate and manage Kibana Dashboards and Lens visualizations. Use when you need to define dashboards and visualizations declaratively, version control them, automate their deployment, or improve layout, sections, controls, or chart design.OficialDevOpsFără avertismente★ 603↓ —Apare și în 1 alt depozit
- executing-plansjnMetaCode/superpowers-zh当你要在当前会话里亲自担任实现者执行一份实现计划时使用——你的人类伙伴选择了内联执行，或者没有可用的子智能体工具PlanificareFără avertismente★ 8,4 K↓ —
- kibana-workflowselastic/agent-skillsAuthor, validate, test, run, and inspect Elastic Workflow YAML definitions. Use when the user wants to turn natural language into a Kibana workflow, fix workflow YAML, understand triggers or steps, or run a quick test loop against a real Kibana.OficialTestareFără avertismente★ 603↓ —Apare și în 1 alt depozit
- prompt-engineerJeffallan/claude-skillsWrites, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.TestareFără avertismente★ 12,1 K↓ —
- spark-engineerJeffallan/claude-skillsUse when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.DateFără avertismente★ 12,1 K↓ —
- openrig-software-factorymvschwarz/openrigUse when a user wants a continuing software team for a real repository, or has a first OpenRig team and needs a repeatable path for reviewed work and later tasks.ProductivitateFără avertismente★ 8,3 K↓ —Apare și în 1 alt depozit
- observability-llm-obselastic/agent-skillsAnswer questions about LLM and agentic-application behavior from data already ingested into Elastic: latency and error rate, token and cost utilization, response quality and guardrail events, and agentic call-chain orchestration. Use when the user asks about LLM monitoring, GenAI observability, token spend or AI cost, model latency, prompt or guardrail failures, or how an agent's tool-call chain executed.OficialDevOpsFără avertismente★ 603↓ —Apare și în 1 alt depozit
- chained-prGentleman-Programming/gentle-aiTrigger: PRs over 400 lines, stacked PRs, review slices. Split oversized changes into chained PRs that protect review focus.InginerieFără avertismente★ 8,1 K↓ —
hive.terminal-tools-fs-search
aden-hive/hive
InginerieActualizat acum 5 zile
De la autor
Use terminal_rg / terminal_glob for all filesystem search — your project tree as well as system configs, /var/log, /etc, archive contents. Teaches the rg vs glob vs terminal_exec("find/ls/du/tree") split, common rg flag combos for code/logs/configs, glob patterns for finding files by name, the rule that mtime/size/type predicate queries drop to terminal_exec("find ..."), and that for tree views or single-file stat info you should just use terminal_exec instead of inventing a tool. Read before reaching for raw shell to grep or find anything.
Instalare
npx skills add aden-hive/hive --skill hive.terminal-tools-fs-search -a claude-code
Se instalează în .claude/skills/hive.terminal-tools-fs-search/ · 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: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 92
Securitate100
Proveniență89
Întreținere100
Licență100
Adopție63
Fișiere (3)
- SKILL.md
- references/find_predicates.md
- references/ripgrep_cheatsheet.md