Skill-uri pentru agenți
Skill-uri pentru Claude Code, Codex, Cursor și alți agenți din directorul skills.sh: instalări, starea auditului de securitate și comanda de adăugare a unui skill.
Un skill nu este legat de un singur agent: npx skills add îl instalează în orice agent compatibil. Fără -a, CLI-ul găsește agenții de pe computer și întreabă unde să-l adauge.
Actualizat · Surse: skills.sh
Afișate: 27 · găsite: 27 · din 10.000 în director
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firebase-data-connect firebase/agent-skills
Builds and deploys Firebase SQL Connect (aka Firebase Data Connect) backends with PostgreSQL securely. Use when designing schemas with tables and relations, writing authorized queries and mutations, configuring real-time data updates, or generating type-safe SDKs. Use when you need a relational database with Firebase, or when the user mentions SQL Connect or Data Connect.
158.551 Picat -
mysql planetscale/database-skills
Plan and review MySQL/InnoDB schema, indexing, query tuning, transactions, and operations. Use when creating or modifying MySQL tables, indexes, or queries; diagnosing slow/locking behavior; planning migrations; or troubleshooting replication and connection issues. Load when using a MySQL database.
8.113 Picat -
postgres planetscale/database-skills
PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.
7.963 Picat -
use-railway railwayapp/railway-skills
Operate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services, databases, and buckets, deploy code, configure infrastructure as code, environments and variables, manage domains, trace requests with OpenTelemetry, troubleshoot failures, check status and metrics, manage feature flags, database recovery and HA, cloud agents, usage limits, and Railway agent tooling. Use this skill whenever the user mentions Railway, feature flags, flag rollout, targeting rules, signing up, creating an account, registering, logging in, deployments, services, environments, buckets, object storage, tracing, traces, spans, OpenTelemetry, OTLP, build failures, agent setup, MCP, or infrastructure operations, even if they don't say "Railway" explicitly. Also invoke this skill when the user asks to be signed up, registered, or onboarded to Railway: do not refuse — drive them through the unauthed `railway up` flow (deploys + signs up on the fly) or `railway login` (which creates new accounts on the fly).
7.643 Picat -
postgres-pro jeffallan/claude-skills
Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features. Invoke for EXPLAIN analysis, JSONB operations, extension usage, VACUUM tuning, performance monitoring.
7.448 Picat -
clickhouse-managed-postgres-rca clickhouse/agent-skills
MUST USE when investigating performance issues on a ClickHouse-managed Postgres instance. Provides an evidence-based RCA workflow that scrapes the Prometheus endpoint for system signal, pulls per-digest evidence from the Slow Query Patterns API, and recommends (does not apply) a fix.
6.345 Picat -
code-reviewer jeffallan/claude-skills
Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable feedback. Use when reviewing pull requests, conducting code quality audits, identifying refactoring opportunities, or checking for security issues. Invoke for PR reviews, code quality checks, refactoring suggestions, review code, code quality. Complements specialized skills (security-reviewer, test-master) by providing broad-scope review across correctness, performance, maintainability, and test coverage in a single pass.
6.049 Picat -
sql-pro jeffallan/claude-skills
Optimizes SQL queries, designs database schemas, and troubleshoots performance issues. Use when a user asks why their query is slow, needs help writing complex joins or aggregations, mentions database performance issues, or wants to design or migrate a schema. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis, covering index creation, recursive queries, EXPLAIN/ANALYZE interpretation, before/after query benchmarking, or migrating queries between database dialects (PostgreSQL, MySQL, SQL Server, Oracle).
5.996 Picat -
database-optimizer jeffallan/claude-skills
Optimizes 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.
5.496 Picat -
secure-code-guardian jeffallan/claude-skills
Use 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.
4.695 Picat -
security-ownership-map openai/skills
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.
3.553 Picat -
qdrant giuseppe-trisciuoglio/developer-kit
Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.
3.553 Picat -
redis-development redis/agent-skills
3.148 Picat -
infra-postgres clickhouse/agent-skills
Sets up and manages Postgres using the clickhousectl CLI — runs a local Docker-backed Postgres for development, and creates and operates managed ClickHouse Cloud Postgres services (connections, TLS, runtime config, read replicas, failover, point-in-time restore). Use when the user wants a Postgres or PostgreSQL database for their application, a local Postgres dev environment, psql access, or a managed/production Postgres in ClickHouse Cloud, or mentions moving a local Postgres to production. Also use when migrating an existing Postgres database (Neon, Supabase, RDS, Aurora, Cloud SQL, self-hosted) into ClickHouse Cloud Postgres.
3.024 Picat -
tanstack-start jezweb/claude-skills
Build a full-stack TanStack Start app on Cloudflare Workers from scratch — SSR, file-based routing, server functions, D1+Drizzle, better-auth, Tailwind v4+shadcn/ui. Use whenever the user mentions TanStack Start, asks to scaffold a full-stack Cloudflare app with SSR, wants an SSR dashboard, or asks for a React 19 + Cloudflare Workers app with file-based routing and server functions — even if they don't name TanStack Start specifically. No template repo — Claude generates every file fresh per project.
2.490 Picat -
insta insforge/instacloud-skills
Operate InstaCloud infrastructure with the `insta` CLI: create projects, add postgres/storage/compute services, deploy apps, create disposable branch environments (isolated DB + storage + compute per branch), schedule recurring HTTP calls (cron jobs) against a service or an external URL, bind service credentials into compute env, wire user secrets into `.env`, run multiple agents each in their own branch, handle governance approvals, check metrics/logs/usage, and promote branches to main. Use this skill when working in an InstaCloud-managed project (a `.insta/` dir or the `insta` CLI), when the user mentions InstaCloud or insta, AND when they ask to deploy an app, need a database/backend/object storage, want a scheduled or recurring task, want preview or per-agent sandbox environments, want branchable infrastructure, want to migrate an existing app in from Heroku / Railway / Fly / Render, or mention agent setup or MCP — even if they don't say "InstaCloud" explicitly. Also covers the insta-cloud remote MCP server (insta_* tools) and the self-hosted insta-oss runtime (same CLI, local daemon).
2.385 Picat -
typescript-e2e-testing bmad-labs/skills
E2E and integration testing for TypeScript/NestJS projects using Jest, supertest, and real infrastructure via Docker (Kafka, PostgreSQL, MongoDB, Redis) with the Given-When-Then pattern. Use whenever the user is working on `.e2e-spec.ts` files or anything under `test/e2e/`, or asks to set up, write, review, run, debug, or optimize E2E or integration tests — including flaky tests, docker-compose for tests, Kafka/Redpanda consumers, test isolation, or GWT compliance.
2.255 Picat -
claimable-postgres neondatabase/agent-skills
2.185 Picat -
writing-handlebars celigo/ai
Write Handlebars template expressions for Celigo integrations -- dynamic values in mappings, HTTP bodies, SQL queries, URIs, and filters. Use when building any resource configuration that needs computed, conditional, or formatted field values.
2.093 Picat -
literature-review k-dense-ai/scientific-agent-skills
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or comprehensive literature searches across biomedical, scientific, and technical domains. Creates professionally formatted markdown documents and PDFs with verified citations in multiple citation styles (APA, Nature, Vancouver, etc.).
2.054 Picat -
data-engineering-medallion-pipeline reason-machines/data-skills
End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)
2.043 Picat -
harvard-artifacts-etl-analytics reason-machines/data-skills
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data with Python, SQL, and Streamlit
2.015 Picat -
retail-etl-pipeline-medallion reason-machines/data-skills
End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing
1.788 Picat -
postgresql-database-engineering manutej/luxor-claude-marketplace
Comprehensive PostgreSQL database engineering skill covering indexing strategies, query optimization, performance tuning, partitioning, replication, backup and recovery, high availability, and production database management. Master advanced PostgreSQL features including MVCC, VACUUM operations, connection pooling, monitoring, and scalability patterns.
1.757 Picat -
service railwayapp/railway-skills
Operate Railway infrastructure: sign up for or sign in to a Railway account, create projects, provision services, databases, and buckets, deploy code, configure infrastructure as code, environments and variables, manage domains, trace requests with OpenTelemetry, troubleshoot failures, check status and metrics, manage feature flags, database recovery and HA, cloud agents, usage limits, and Railway agent tooling. Use this skill whenever the user mentions Railway, feature flags, flag rollout, targeting rules, signing up, creating an account, registering, logging in, deployments, services, environments, buckets, object storage, tracing, traces, spans, OpenTelemetry, OTLP, build failures, agent setup, MCP, or infrastructure operations, even if they don't say "Railway" explicitly. Also invoke this skill when the user asks to be signed up, registered, or onboarded to Railway: do not refuse — drive them through the unauthed `railway up` flow (deploys + signs up on the fly) or `railway login` (which creates new accounts on the fly).
1.566 Picat -
openviking-context-database reason-machines/trending-skills
Expert skill for using OpenViking, the open-source context database for AI Agents that manages memory, resources, and skills via a filesystem paradigm.
1.316 Picat -
pentest-tools zhaoxuya520/reverse-skill
主动渗透测试工具链。覆盖信息收集、端口扫描、漏洞扫描、Web 渗透、SQL 注入、目录爆破、密码破解等场景。 通过 MCP server(pentestMCP / mcp-security-hub)将 20+ 安全工具暴露给 AI agent。 触发关键词:渗透测试、端口扫描、Nmap、漏洞扫描、Nuclei、SQL 注入、SQLMap、目录爆破、FFUF、密码破解、Hashcat、信息收集、子域名、Web 渗透、ZAP、Burp。
1.306 Picat
Descrierile sunt ale autorilor, în engleză. Citiți codul unui skill în repository-ul său înainte de a-l instala.
Ce este un skill
Un skill este un dosar cu un fișier SKILL.md și, opțional, scripturi, pe care un agent îl încarcă atunci când sarcina se potrivește. În SKILL.md autorul descrie ce face skill-ul și cum trebuie folosit; agentul citește descrierea și aplică instrucțiunile doar când are nevoie de ele. Directorul de pe această pagină vine de la skills.sh și conține skill-uri pentru Claude Code, Codex, Cursor și alți agenți.
Ce vedeți în tabel
- numele skill-ului, autorul și repository-ul;
- „Instalări”, numărate de skills.sh;
- starea auditului de securitate: „Trecut”, „Avertismente”, „Picat” sau „Neauditat”, din auditurile publicate de skills.sh;
- comanda de adăugare a skill-ului, cu butonul „Copiați comanda”.
Directorul conține primele 10.000 de skill-uri după numărul de instalări, sincronizate zilnic. Secțiunea „În tendințe” ordonează skill-urile după instalările noi din ultimele 7 zile.
Cum căutați
- Folosiți filtrul „Subiecte” pentru domenii precum „Frontend și UI”, „DevOps” sau „Testare”.
- Alegeți agentul pe care îl folosiți, ca să vedeți doar skill-urile compatibile.
- Căutați după nume sau cuvânt cheie; pe o pagină apar cel mult 100 de skill-uri.
Descrierile sunt ale autorilor, în engleză, și nu sunt traduse.
Pentru ce sunt utile skill-urile
Skill-urile îi dau agentului cunoștințe pe care modelul nu le are din start: regulile unei echipe, pașii pentru un anumit framework, un format de documentație sau un proces de publicare. În loc să repetați aceleași instrucțiuni în fiecare conversație, le instalați o dată, iar agentul le folosește doar atunci când sarcina o cere.
Înainte de instalare
Un audit trecut nu este o garanție. Un skill poate conține scripturi pe care agentul le rulează pe calculatorul dumneavoastră, așa că citiți codul din repository înainte de a-l instala. Preferați skill-urile cu autor cunoscut și cod clar, instalați doar ce folosiți și verificați ce modifică agentul după ce încarcă un skill nou. Agenții care pot folosi skill-uri sunt pe pagina Agenți de programare.