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.
44.950 de skill-uri din 2.141 de depozite · actualizat acum 14 minute
5.604 skill-uri
- elixir-idiomsoliver-kriska/claude-elixir-phoenixOTP/BEAM patterns and Elixir idioms — GenServer, Supervisor, Task; Use when designing processes or debugging BEAM…InginerieFără avertismente★ 570↓ —
- debuggingnotque/vexjoy-agentDebugging: guided diagnosis of application bugs, and post-mortem of failed agent sessions.InginerieFără avertismente★ 443↓ —
- github-praiskillstore/marketplaceGitHub PR utilities for code review workflowsInginerieFără avertismente★ 443↓ —
- codexnotque/vexjoy-agentRun benchmark-selected GPT-5.6 work through the Codex CLI.InginerieFără avertismente★ 443↓ —
- auto-dreamnotque/vexjoy-agentBackground memory consolidation — overnight review, merge, and injection payload for memory files.InginerieFără avertismente★ 443↓ —
- turborepoaiskillstore/marketplaceTurborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.InginerieFără avertismente★ 443↓ —
- shapaiskillstore/marketplaceModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.InginerieFără avertismente★ 443↓ —
- phx-codex-loopoliver-kriska/claude-elixir-phoenixFix Elixir/Phoenix code until Codex CLI review comes back clean — bounded review, fix, verify loop before opening a PR. Use when codex is installed and you want an external cross-model critic on your changes before pushing.InginerieFără avertismente★ 570↓ —
- phx-techdebtoliver-kriska/claude-elixir-phoenixAnalyze Elixir/Phoenix technical debt — duplicates, refactoring; Use when asked about code quality, cleanup, or what…InginerieFără avertismente★ 570↓ —
- phx-examplesoliver-kriska/claude-elixir-phoenixProvide Phoenix, LiveView, Ecto, OTP, or Oban examples. Use when asked for sample code, a walkthrough, a proper…InginerieFără avertismente★ 570↓ —
- agentsop-http-tool-wrappingagentsope/SkillAlchemyDecision protocol for wrapping a REST / GraphQL / RPC API as a tool an LLM agent can call. The load-bearing premise: the *tool surface* is an LM-friendly subset of the *API surface* — one tool per user intent, not one per endpoint. Activates when a coder agent must expose an external HTTP API to a model (function calling, tool_use, MCP, LangChain `@tool`, CrewAI `BaseTool`). Encodes the *what to surface, how to name, how to shape, how to fail* — not any single framework's API. ~80% of agent tools in production are HTTP wrappers; this is the SOP for getting them right.InginerieFără avertismente★ 446↓ —
- elixir-wayoliver-kriska/claude-elixir-phoenixMap mechanisms from any language or framework (Rails, Django, PHP, Node, Go, JVM, .NET, others) to idiomatic Elixir. Use when a rewrite or port needs verdicts, targets, guarantee checks or a translationese review.InginerieFără avertismente★ 570↓ —
- pr-threads-resolveposit-dev/skillsBulk resolve unresolved PR review threads on the current branch’s PR — typically after threads have been addressed manually or via /pr-threads-addressInginerieFără avertismente★ 547↓ —
- agentsop-vllmagentsope/SkillAlchemyDecision SOP for serving LLMs with vLLM. Covers PagedAttention mental model, quantization/parallelism/batching tradeoffs, OOM triage, and when NOT to use vLLM. Activates when a coder-agent is choosing or tuning an inference engine, debugging vLLM throughput/latency/OOM, or comparing vLLM against TGI/SGLang/TensorRT-LLM/llama.cpp.InginerieFără avertismente★ 446↓ —
- accountsnotque/vexjoy-agentManage multiple Claude Code accounts: add, list, check, launch, and install shell aliases for 10+ isolated CLAUDE_CONFIG_DIR profiles.InginerieFără avertismente★ 443↓ —
- reviewnotque/vexjoy-agentCode review: systematic single-file, parallel multi-reviewer, full-repo audit, PR diff review.InginerieFără avertismente★ 443↓ —
- phx-codex-loopoliver-kriska/claude-elixir-phoenixFix Elixir/Phoenix code until Codex CLI review comes back clean — bounded review, fix, verify loop before opening a PR. Use when codex is installed and you want an external cross-model critic on your changes before pushing.InginerieFără avertismente★ 570↓ —
- phx-pr-reviewoliver-kriska/claude-elixir-phoenixAddress feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments. NOT for pre-PR review, findings triage, or CI monitoring.InginerieFără avertismente★ 570↓ —
- agentsop-map-reduce-fanoutagentsope/SkillAlchemyDecision protocol for the map-reduce / dynamic fan-out pattern in LM pipelines — "given list L, run f(item) for each item in parallel, then combine". Activates when the coder agent is about to process N items with N LM calls (per-doc summarize, per-query retrieve, per-candidate rank, parallel tool fan-out). Encodes the *when*, *how many at once*, *what to do when one fails*, and *how to reduce* — not the API of any single framework. Cross-framework: LangGraph `Send`, CrewAI parallel tasks / Flow, `asyncio.gather`, `ThreadPoolExecutor`, LlamaIndex batch retrieval.InginerieFără avertismente★ 446↓ —
- phx-pr-reviewoliver-kriska/claude-elixir-phoenixAddress feedback left on a GitHub pull request: fetch unresolved review threads, make agreed Elixir/Phoenix code fixes, reply, and resolve. Use for a PR URL/number or reviewer comments. NOT for pre-PR review, findings triage, or CI monitoring.InginerieFără avertismente★ 570↓ —
- agentsop-code-execution-decisionagentsope/SkillAlchemyDecision rubric for when an LM agent should write-and-run code (Program-of-Thought / code interpreter) versus reason in natural language: classify each step as deterministic- computable (emit + execute code, feed the result back) vs judgment (stay in prose). Use when designing or debugging an agent step that does arithmetic/parsing/data transforms, when prose reasoning hallucinates a computation (under-coding), or when a sandbox round- trip is wasted on a judgment task (over-coding). Search keywords: code interpreter, agent does math wrong, calculator hallucination, when to run code vs reason, program of thought, PoT, tool vs reasoning.InginerieFără avertismente★ 446↓ —
- agentsop-structured-output-pickeragentsope/SkillAlchemyDecide where to enforce structured LM output (constrain at decode time with Outlines vs validate-and-retry with Instructor vs grammar with Guidance) and which failure stance to take (Assert/hard-fail vs Suggest/soft-retry). Use when an LM's output is parsed or typed by downstream code and you must pick one enforcement library plus its failure handling, when malformed output is burning tokens on retries, or when choosing between decode-time vs validation-time constraints for local vs API models.InginerieFără avertismente★ 446↓ —
- agentsop-hybrid-retrievalagentsope/SkillAlchemyEnhancement-overlay SOP for adding sparse (BM25 / keyword) retrieval alongside dense (embedding) retrieval. Activate when a calling agent is building, reviewing, or debugging a retrieval pipeline whose corpus contains exact-match tokens — identifiers, error codes, SKUs, API/function names, proper nouns, citations, rare jargon — that pure dense embedding silently misses. Encodes the single decision rule (**hybrid is traffic-driven, not theoretical: add sparse only when the query share that depends on exact tokens is non-trivial**), the wiring of QueryFusionRetriever-style fusion (RRF vs alpha-weighted), and per-query-type alpha tuning. Frame the work as recovering lexical identity that dense pooling destroys, not as "add keyword search for completeness". Cross-links [[llamaindex]].InginerieFără avertismente★ 446↓ —
- amagumoaiskillstore/marketplace気象庁の雨雲レーダー(解析雨量・降水ナウキャスト)タイルから、今の雨の強さとこの後30〜60分の見通しを調べる。今雨降ってる、雨雲、あとどれくらいで雨、降水ナウキャストの質問に対応。APIキー・ログイン不要。明日以降の天気はjma-weather、警報・地震・津波はbosai-alertを使う。InginerieFără avertismente★ 443↓ —