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.
45.585 de skill-uri din 2.205 depozite · actualizat acum 15 minute
45.585 de skill-uri
- flowai-team-dashboardnexu-io/html-anything三个 tab 的团队管理后台: 成员、详情、活动日志, 含图表 + CSV 导出DateFără avertismente★ 9,2 K↓ —Apare și în 1 alt depozit
- mysqlplanetscale/database-skillsPlan 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.OficialDateFără avertismente★ 727↓ —
- vitessplanetscale/database-skillsVitess best practices, query optimization, and connection troubleshooting for PlanetScale Vitess databases. Load when working with Vitess databases, sharding, VSchema configuration, keyspace management, or MySQL scaling issues.OficialDateFără avertismente★ 727↓ —
- nekiplanetscale/database-skillsGuidance for Neki, PlanetScale's distributed (sharded) Postgres. Load when working with a Neki database — connecting, data topology and shard keys, query routing and fanout, cross-shard transactions, schema changes, resharding and migration, NK013 errors — or when scaling and sharding Postgres.OficialDateFără avertismente★ 727↓ —
- postgresplanetscale/database-skillsPostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.OficialDateFără avertismente★ 727↓ —
- troubleshooting-dbt-job-errorsdbt-labs/dbt-agent-skillsDiagnoses dbt Cloud/platform job failures by analyzing run logs, querying the Admin API, reviewing git history, and investigating data issues. Use when a dbt Cloud/platform job fails and you need to diagnose the root cause, especially when error messages are unclear or when intermittent failures occur. Do not use for local dbt development errors.OficialDateFără avertismente★ 746↓ —
- working-with-dbt-meshdbt-labs/dbt-agent-skillsUse when changing a dbt model in a way that could break its consumers — renaming, removing, or retyping a column, or changing a model that downstream models, exposures, dashboards, or BI tools depend on — to judge whether the change is breaking and who it affects. Also use when versioning a model (model versions, latest_version, latest_version_pointer, deprecation_date, migration windows), enforcing contracts, setting access or groups, or doing multi-project dbt Mesh work (cross-project refs via dependencies.yml, disambiguating similarly-named models, splitting a monolith). Covers single- and multi-project, and planning or advising as well as implementing.OficialDateFără avertismente★ 746↓ —
- creating-mermaid-dbt-dagdbt-labs/dbt-agent-skillsGenerates a Mermaid flowchart diagram of dbt model lineage using MCP tools, manifest.json, or direct code parsing as fallbacks. Use when visualizing dbt model lineage and dependencies as a Mermaid diagram in markdown format.OficialDateFără avertismente★ 746↓ —
- migrating-dbt-core-to-v2dbt-labs/dbt-agent-skillsUse when a user needs help triaging dbt-core to dbt v2 migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).OficialDateFără avertismente★ 746↓ —
- querying-the-dbt-information-schemadbt-labs/dbt-agent-skillsUse when answering questions about a dbt v2 project's own metadata — which models, sources, tests, columns, configs, tags, packages or lineage exist, what is untested or undocumented, what depends on what, how long models took in the last run — or when using `dbt show --info`, `{{ info_schema() }}`, `--generate-info-schema`, `target/info_schema/`, or writing `dbt check` SQL. Prefer this over grepping YAML or parsing `manifest.json` on dbt v2.OficialDateFără avertismente★ 746↓ —
- running-dbt-commandsdbt-labs/dbt-agent-skillsFormats and executes dbt CLI commands, selects the correct dbt executable, and structures command parameters. Use when running models, tests, builds, compiles, or show queries via dbt CLI. Use when unsure which dbt executable to use or how to format command parameters.OficialDateFără avertismente★ 746↓ —
- using-dbt-statedbt-labs/dbt-agent-skillsUse when a user is enabling, configuring, optimizing, or debugging dbt State (the server-backed reuse mechanism that clones or skips nodes instead of rebuilding them). Use when they conflate dbt State with the `state:modified` selector or `--state` deferral. Use when asked about models rebuilding unexpectedly, views with `select *` rebuilding, volatile SQL (`current_timestamp()`, `random()`) rebuilding or not, cross-developer cloning, lag_tolerance.OficialDateFără avertismente★ 746↓ —
- configuring-dbt-mcp-serverdbt-labs/dbt-agent-skillsGenerates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt. Use when setting up, configuring, or troubleshooting the dbt MCP server for AI tools like Claude Desktop, Claude Code, Cursor, or VS Code.OficialDateFără avertismente★ 746↓ —
- building-dbt-semantic-layerdbt-labs/dbt-agent-skillsUse when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.OficialDateFără avertismente★ 746↓ —
- answering-natural-language-questions-with-dbtdbt-labs/dbt-agent-skillsWrites and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.OficialDateFără avertismente★ 746↓ —
- hive.image-generationaden-hive/hiveRequired before calling image_generate. Create and edit images from a prompt — generate an image, make a picture / logo / illustration / icon / banner / poster / thumbnail / hero image / mockup / product shot / social graphic, or edit / restyle / combine existing images from reference images. Uses OpenAI gpt-image-2 through the Hive image service, billed to the user's Hive credits like an LLM call (no API key needed). Teaches the exact call shape, the quality/cost tradeoff (quality="low" is the default and cheapest), reference-image editing, how to show the result to the user with attach_file, and the failure modes (out of credits, model unavailable, moderation).MediaFără avertismente★ 11,1 K↓ —
- python-proJeffallan/claude-skillsUse when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.InginerieFără avertismente★ 12,1 K↓ —
- sred-work-summarygetsentry/skillsGo back through the previous year of work and create a Notion doc that groups relevant links into projects that can then be documented as SRED projects.OficialProductivitateFără avertismente★ 1,1 K↓ —
- commitgetsentry/skillsUse for every request to commit changes or draft a commit message. Creates Sentry-style conventional commits with issue references.OficialInginerieFără avertismente★ 1,1 K↓ —
- create-branchgetsentry/skillsCreate a git branch following Sentry naming conventions. Use when asked to "create a branch", "new branch", "start a branch", "make a branch", "switch to a new branch", or when starting new work on the default branch.OficialInginerieFără avertismente★ 1,1 K↓ —
- blog-writing-guidegetsentry/skillsWrite, review, and improve blog posts for the Sentry engineering blog following Sentry's specific writing standards, voice, and quality bar. Use this skill whenever someone asks to write a blog post, draft a technical article, review blog content, improve a draft, write a product announcement, create an engineering deep-dive, or produce any written content destined for the Sentry blog or developer audience. Also trigger when the user mentions "blog post," "blog draft," "write-up," "announcement post," "engineering post," "deep dive," "postmortem," or asks for help with technical writing for Sentry. Even if the user just says "help me write about [feature/topic]" — if it sounds like it could become a Sentry blog post, use this skill.OficialRedactareFără avertismente★ 1,1 K↓ —
- hive.worker-delegationaden-hive/hiveConcrete patterns for breaking colony work into parallel worker jobs via run_playbook — when fan-out helps, how to model the goal as a tracker table, write the worker skill, author the playbook, pilot, and let convergence retry/resume the gap.RedactareFără avertismente★ 11,1 K↓ —
- rust-engineerJeffallan/claude-skillsWrites, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option. Use when building Rust applications, solving ownership or borrowing issues, designing trait-based APIs, implementing async/await concurrency, creating FFI bindings, or optimizing for performance and memory safety. Invoke for Rust, Cargo, ownership, borrowing, lifetimes, async Rust, tokio, zero-cost abstractions, memory safety, systems programming.RedactareFără avertismente★ 12,1 K↓ —
- swift-expertJeffallan/claude-skillsBuilds iOS/macOS/watchOS/tvOS applications, implements SwiftUI views and state management, designs protocol-oriented architectures, handles async/await concurrency, implements actors for thread safety, and debugs Swift-specific issues. Use when building iOS/macOS applications with Swift 5.9+, SwiftUI, or async/await concurrency. Invoke for protocol-oriented programming, SwiftUI state management, actors, server-side Swift, UIKit integration, Combine, or Vapor.PlanificareFără avertismente★ 12,1 K↓ —
prompt-optimizer
getsentry/skills
OficialAlteleActualizat alaltăieri
De la autor
Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. Use when asked to improve a prompt, optimize a system prompt, rewrite an agent prompt, tune prompt wording, make a prompt more reliable, port prompts between OpenAI, Claude, or Gemini, or build prompt evals.
Instalare
npx skills add getsentry/skills --skill prompt-optimizer -a claude-code
Se instalează în .claude/skills/prompt-optimizer/ · 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
Proveniență100
Întreținere100
Licență100
Adopție49
Fișiere (7)
- SKILL.md
- SOURCES.md
- SPEC.md
- references/core-patterns.md
- references/meta-optimization-loop.md
- references/model-family-notes.md
- references/transformed-examples.md