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.
45.604 skill-uri din 2.205 depozite · actualizat acum 15 ore
5.536 de skill-uri
- deal-reviewBevel-Software/HexisDeep-dive on a single opportunity - signal-adjusted health score, risks, gaps in qualification, and recommended next actions. Use when the user asks "review the [account] deal", "deal review on [opp]", "is [opp] going to close", or "what's the risk on [deal]".InginerieFără avertismente★ 120↓ —
- code-search-assistantArabelaTso/Skills-4-SESearch code repositories for code related to a given code snippet, ranking results by call chain similarity, textual similarity, and functional similarity. Use when finding related code, locating similar implementations, discovering code dependencies, or identifying code that performs similar operations. Outputs ranked file lists with matching code snippets and relevance scores.InginerieFără avertismente★ 259↓ —
- code-review-assistantArabelaTso/Skills-4-SEConduct comprehensive code reviews identifying bugs, security issues, performance problems, code quality concerns, and best practice violations. Use when reviewing pull requests, examining code changes, evaluating new code, assessing code quality, or providing feedback on implementations. Analyzes code for correctness, security vulnerabilities, performance bottlenecks, maintainability issues, test coverage, documentation quality, and adherence to coding standards. Produces structured markdown reviews with categorized findings, severity ratings, specific examples, and actionable recommendations. Triggers when users ask to review code, check pull requests, evaluate implementations, find bugs, or assess code quality.InginerieFără avertismente★ 259↓ —
- change-log-generatorArabelaTso/Skills-4-SEAutomatically generates change logs from git commits, patches, and pull requests. Use when preparing software releases, creating version summaries, or maintaining CHANGELOG.md files. Analyzes commit messages (including conventional commits), diff/patch files, and PR data to produce categorized Markdown change logs organized by type (Features, Bug Fixes, Breaking Changes, etc.). Ideal for release notes, version updates, and automated changelog maintenance.InginerieFără avertismente★ 259↓ —
- static-bug-detectorArabelaTso/Skills-4-SEAnalyze source code statically to detect potential functional bugs including null dereferences, incorrect condition checks, unreachable code, inconsistent state updates, logic errors, resource leaks, and type mismatches. Report suspicious code locations with detailed explanations, severity levels, and confidence assessments. Use when reviewing code for bugs, performing code audits, or when the user asks to find bugs, detect issues, analyze code for problems, or perform static analysis.InginerieFără avertismente★ 259↓ —
- routeros-mndptikoci/routeros-skillsMNDP (MikroTik Neighbor Discovery Protocol) wire format, behavior, and RouterOS /ip/neighbor integration. Use when: implementing MNDP discovery, parsing MNDP packets, working with /ip/neighbor, understanding WinBox device discovery, debugging why a router doesn't appear in neighbor lists, or when the user mentions MNDP, neighbor discovery, WinBox discovery, or /ip/neighbor.InginerieFără avertismente★ 79↓ —
- seekter-gitselfishprimate/seekterShip the Seekter kit to git. Branch, commit and push the tracked, person-independent files (skills, references, scripts, templates) after a run has taught the kit something. Use when the user runs /seekter-git or asks to commit, push, or open a PR for the changes made to Seekter itself.InginerieFără avertismente★ 78↓ —
- invariant-inferenceArabelaTso/Skills-4-SEAutomatically infer loop invariants for code verification and correctness proofs. Use when analyzing loops to identify properties that hold throughout execution, generating assertions for verification, proving loop correctness, or documenting loop behavior. Supports Python, Java, C/C++, and language-agnostic analysis. Generates invariants as code assertions (assert statements). Triggers when users ask to infer invariants, find loop properties, generate loop assertions, prove loop correctness, or verify loop behavior.InginerieFără avertismente★ 259↓ —
- dead-code-removalArabelaTso/Skills-4-SEDead code removal via parallel scanning, reference verification, batch execution, and atomic commits. You are the ORCHESTRATOR — you scan, verify, batch, then delegate ALL removals.InginerieFără avertismente★ 259↓ —
- code-translationArabelaTso/Skills-4-SEConvert code between programming languages while preserving functionality and semantics. Use when: (1) Translating functions, classes, or modules between languages (Python, JavaScript/TypeScript, Java, Go, Rust, C/C++), (2) Migrating entire projects to a different language, (3) Need idiomatic translation that follows target language conventions, (4) Converting between different paradigms (OOP to functional, etc.), (5) Porting legacy code to modern languages. Provides language-specific patterns, idiomatic translation guides, and project migration strategies.InginerieFără avertismente★ 259↓ —
- lsp-refactoringArabelaTso/Skills-4-SEIntelligent code refactoring using IDE-level tools (rename, find-references, go-to-definition), AST-aware pattern matching, and TDD verification. Use for safe, large-scale refactoring with precision.InginerieFără avertismente★ 259↓ —
- code-summarizerArabelaTso/Skills-4-SEGenerate concise summaries of source code at multiple scales. Use when users ask to summarize, explain, or understand code - whether it's a single function, a class, a module, or an entire codebase. Handles function-level code by explaining intention and core logic, and large codebases by providing high-level overviews with drill-down capabilities for specific modules.InginerieFără avertismente★ 259↓ —
- code-optimizerArabelaTso/Skills-4-SEAnalyzes and optimizes code for better performance, memory usage, and efficiency. Use when code is slow, memory-intensive, or inefficient. Supports Python and Java optimization including execution speed improvements, memory reduction, database query optimization, and I/O efficiency. Provides before/after examples with detailed explanations of why optimizations work, complexity analysis, and measurable performance improvements.InginerieFără avertismente★ 259↓ —
- top-down-typescriptpaleo/alignfirstTypeScript and JavaScript coding style conventions, centered on top-down narrative ordering (caller first, helpers below) and functions over classes. Read before writing or reviewing TypeScript/JavaScript code, including code inside a spec or a plan.InginerieFără avertismente★ 86↓ —
- code-pattern-extractorArabelaTso/Skills-4-SEAnalyze codebases to identify reusable code patterns, duplications, and implementation patterns for future development. Use when refactoring code, identifying technical debt, finding opportunities for abstraction, or documenting common patterns in a directory or module. Outputs pattern catalogs, refactoring suggestions, and reusable template code.InginerieFără avertismente★ 259↓ —
- semantic-equivalence-verifierArabelaTso/Skills-4-SEAnalyzes and verifies semantic equivalence between two functions, classes, or modules by examining control flow, data flow, and observable behavior. Use when comparing code implementations (refactored vs original, different implementations of same functionality, migration verification), determining if two code artifacts produce identical behavior, identifying behavioral differences between code versions, or validating that code changes preserve semantics. Supports formal reasoning and symbolic execution approaches.InginerieFără avertismente★ 259↓ —
- taming-copilotGulajavaMinistudio/awesome-copilot-idYour mission is to be a precise, surgical assistant that respects existing code, follows user commands absolutely, and avoids any unsolicited changes.InginerieFără avertismente★ 87↓ —
- example-threejsBintzGavin/heliosPatterns for using Helios with Three.js and React Three Fiber. Use when creating 3D animations or integrating WebGL scenes.InginerieFără avertismente★ 123↓ —
- example-vanillaBintzGavin/heliosPatterns for using Helios with Vanilla JavaScript/TypeScript. Use when building compositions without a framework, or for simple DOM/Canvas manipulations.InginerieFără avertismente★ 123↓ —
- agent-api-designertravisjneuman/.claudeSpecialist subagent: Designs REST and GraphQL APIs following best practices. Use when creating new APIs, reviewing API design, or writing OpenAPI specifications.InginerieFără avertismente★ 106↓ —
- proof-carrying-code-generatorArabelaTso/Skills-4-SEGenerate executable code together with formal proofs certifying safety and correctness properties in Isabelle/HOL or Coq. Use when building verified software, safety-critical systems, or when formal guarantees are required. Produces code with accompanying proofs for memory safety, bounds checking, functional correctness, invariant preservation, and termination. Supports extraction to OCaml/Haskell/SML and integration with existing codebases.InginerieFără avertismente★ 259↓ —
- semantic-bug-detectorArabelaTso/Skills-4-SEDetect semantic-level bugs by analyzing whether code behavior matches its intended purpose inferred from function/variable names, comments, docstrings, and documentation. Use when users need to: (1) Find logic errors where implementation contradicts stated intent, (2) Identify off-by-one errors and boundary mismatches, (3) Detect inverted logic or wrong operators, (4) Catch missing edge case handling, (5) Verify code matches its documentation. Highlights mismatches between intent and implementation across multiple programming languages.InginerieFără avertismente★ 259↓ —
- requesting-code-reviewHezaoHezao/poirotPre-commit review: security scan, quality gates, auto-fix.InginerieFără avertismente★ 254↓ —
- customer-healthBevel-Software/HexisHealth check on a customer account and QBR-ready prep - relationship strength, engagement trend, risk signals, value delivered, and the agenda that makes the review worth their time. Use when the user asks "how healthy is [account]", "customer health check", "prep the [account] QBR", "business review prep", or "are we at risk with [customer]".InginerieFără avertismente★ 120↓ —