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.
43.809 skill-uri din 2.094 de depozite · actualizat acum 14 minute
2.519 skill-uri
- goal-progress-barjamditis/claude-skills-journalismUse to show weighted progress for a multi-step task and update it from recorded evidence.ProductivitateFără avertismente★ 432↓ —
- earnings-calendarstaskh/trading_skillsGet upcoming earnings dates with timing (before/after market) and EPS estimates. Use when user asks about earnings dates, earnings calendar, when a company reports, or upcoming earnings.ProductivitateFără avertismente★ 388↓ —
- pm-exportwei63w/pm-managerExport desensitized governance summary markdown for sharing or machine switch.ProductivitateFără avertismente★ 87↓ —
- fast-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a USENIX FAST project timeline from venue fit through choosing a Spring or Fall deadline, double-blind submission, the author-response period, shepherding or a one-shot revision, artifact evaluation, and the open-access camera-ready, with backward-planning offsets tuned to storage evaluation and honest handling of the two-deadline cycle.ProductivitateVerifică întâi★ 1,3 K↓ —
- data-analyzerRylaispirit/rylai-codex-hermes-skillsInspect datasets, calculate trustworthy summaries, identify patterns and anomalies, and explain decision-relevant findings with explicit assumptions.ProductivitateFără avertismente★ 60↓ —
- chat-to-skilldannote/dot-piConvert current chat session into a reusable skill. Use when user says "/chat-to-skill", "save this as skill", "create skill from chat", "turn this into a skill", or wants to preserve learnings from the conversation as long-term memory.ProductivitateFără avertismente★ 57↓ —
- maintainer-replydannote/dot-piDraft concise, natural, context-aware public replies to GitHub issues, pull requests, reviews, and contributor follow-ups. Use when replying to a contributor, preparing an issue or PR comment, thanking or apologizing publicly, explaining a project decision, or composing a response that must fit an existing conversation.ProductivitateFără avertismente★ 57↓ —
- summarizationRylaispirit/rylai-codex-hermes-skillsCreate accurate summaries of documents, articles, meetings, research, code changes, or multiple sources as briefs, key points, actions, or catch-up notes.ProductivitateFără avertismente★ 60↓ —
- skill-scoutmturac/everything-openai-codexSearch existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.ProductivitateFără avertismente★ 83↓ —
- email-opsmturac/everything-openai-codexEvidence-first mailbox triage, drafting, send verification, and sent-mail-safe follow-up workflow for ecc. Use when the user wants to organize email, draft or send through the real mail surface, or prove what landed in Sent.ProductivitateFără avertismente★ 83↓ —
- mle-workflowmturac/everything-openai-codexProduction machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.ProductivitateFără avertismente★ 83↓ —
- context-budgetmturac/everything-openai-codexAudits OpenAI Codex context window consumption across agents, skills, MCP servers, and rules. Identifies bloat, redundant components, and produces prioritized token-savings recommendations.ProductivitateFără avertismente★ 83↓ —
- hermes-importsmturac/everything-openai-codexConvert local Hermes operator workflows into sanitized ecc skills and release-pack artifacts. Use when preparing a Hermes workflow for public ecc reuse without leaking private workspace state, credentials, or local-only paths.ProductivitateFără avertismente★ 83↓ —
- pydantic-ai-tool-systemexistential-birds/beagleRegister and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.ProductivitateFără avertismente★ 84↓ —
- go-concurrency-webexistential-birds/beagleGo concurrency patterns for high-throughput web applications including worker pools, rate limiting, race detection, and safe shared state management. Use when implementing background task processing, rate limiters, or concurrent request handling.ProductivitateFără avertismente★ 84↓ —
- gen-release-notesexistential-birds/beaglegenerate release notes for changes since a given tagProductivitateFără avertismente★ 84↓ —
- agent-payment-x402mturac/everything-openai-codexAdd x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol.ProductivitateFără avertismente★ 83↓ —
- iterative-retrievalmturac/everything-openai-codexPattern for progressively refining context retrieval to solve the subagent context problemProductivitateFără avertismente★ 83↓ —
- mle-workflowmturac/everything-openai-codexProduction machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.ProductivitateFără avertismente★ 83↓ —
- alert-correlationgensecaihq/Wazuh-AutopilotFind related Wazuh activity around a case by time window and entity pivots, detect kill-chain progression and campaigns across hosts; use after triage when a case needs its surrounding context.ProductivitateFără avertismente★ 60↓ —
- email-opsmturac/everything-openai-codexecc用の証拠ベースのメールボックストリアージ、ドラフト作成、送信検証、および送信済みメールセーフフォローアップワークフロー。ユーザーがメールを整理したり、実際のメールサーフェスを通じてドラフトまたは送信したい、または送信済みメールに何が到着したかを証明したい場合に使用します。ProductivitateFără avertismente★ 83↓ —
- sentencepieceKalarisLabs/research-agent-skillsLanguage-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.ProductivitateFără avertismente★ 61↓ —
- blueprintmturac/everything-openai-codexEOC: open-source operating system for OpenAI Codex workflows with agents, skills, hooks, rules, memory, safety gates, and cross-harness adapters.ProductivitateFără avertismente★ 83↓ —
- handoverhashgraph-online/awesome-codex-pluginsSummarize the current work state and prepare a handover note for the next session.ProductivitateVerifică întâi★ 1,4 K↓ —