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.
8.582 de skill-uri din 252 de depozite · actualizat acum 5 minute
498 de skill-uri
- writebrycewang-stanford/Auto-Empirical-Research-SkillsDraft academic paper sections with notation protocol, anti-hedging, and humanizer pass. Replaces /draft-paper and /humanizer.RedactareFără avertismente★ 4,7 K↓ —
- data-cleanbrycewang-stanford/Auto-Empirical-Research-SkillsProduce documented data cleaning scripts that log every transformation with N before/after each step, generate a CONSORT-style exclusion flow diagram, create decision log entries for every subjective choice, compute scale reliability and composites, and write cleaned data to data/processed/. Never modifies raw data. Use when the user says "clean data," "prepare data," "apply exclusion criteria," "handle missing data," "create composites," "data preprocessing," or when /data-validate found issues to address. Triggers on "clean," "exclusion," "missing data," "preprocessing," "composites," "reverse code."RedactareFără avertismente★ 4,7 K↓ —
- geopandasforyourhealth111-pixel/Vibe-SkillsPython library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.RedactareFără avertismente★ 3,7 K↓ —
- editorialbergside/awesome-design-skillsMagazine-inspired editorial layout with refined serif typography, structured grids, and elegant reading experiences.RedactareFără avertismente★ 3,3 K↓ —
- humanizebrycewang-stanford/Auto-Empirical-Research-SkillsHumanization Pipeline Orchestrator v3.1 - Multi-pass 4-layer transformation pipeline Orchestrates G5 (Auditor), G6 (Humanizer), F5 (Verifier) in sequential passes Enforces checkpoints between every pass with mandatory AskUserQuestion Supports conservative (L1-2), balanced (L1-3), balanced-fast (L1-3 merged), aggressive (L1-4) modes Rich Checkpoint v2.0: section-level scores, selective humanization, target auto-stop G5+F5 parallel execution, section-selective humanization Triggers: humanize, humanize my draft, humanize manuscript, make natural, remove AI patterns Korean triggers: 휴먼화, 자연스럽게, AI 패턴 제거RedactareFără avertismente★ 4,7 K↓ —
- create-agentopen-gitagent/opengapCreates and configures agent.yaml files, writes SOUL.md personality definitions, and sets up agent directory structures with skills, tools, and knowledge. Use when the user wants to configure an agent, create agent.yaml, write SOUL.md, set up agent directory structure, or customize agent settings.RedactareFără avertismente★ 3 K↓ —
- checktw93/WazaReviews diffs, PRs, release readiness, and publishing follow-through. Use when asked to review, triage issues or PRs, or ship. Not for debugging root causes or prose.RedactareFără avertismente★ 7,3 K↓ —Apare și în 1 alt depozit
- writetw93/WazaRewrites and polishes Chinese or English prose, technical instructions, and product copy. Use when drafting, editing, localizing, or cutting AI tone. Not for code comments or commit messages.RedactareFără avertismente★ 7,3 K↓ —Apare și în 1 alt depozit
- humanize-koreanepoko77-ai/im-not-aiAI(ChatGPT·Claude·Gemini 등)가 쓴 한글 텍스트를 "사람이 쓴 글처럼" 윤문해주는 오케스트레이터 스킬. 번역투·영어 인용 과다·기계적 병렬·관용구·피동태 남용·접속사 남발·리듬 균일성·이모지/불릿 과다 등 10대 카테고리 85개 AI 티 패턴을 탐지·분류해 내용은 한 글자도 건드리지 않고 문체·리듬·표현만 자연스러운 한국어로 재작성한다. shim의 route_hint(light|standard|heavy)로 경로를 정해 잘 쓴 글은 1콜, 표준은 2콜, 중증·장문만 3+콜(진단→겨냥 윤문→finalize)로 처리한다. 트리거 — "AI 티 없애줘", "AI 같은 글 자연스럽게", "GPT/ChatGPT 문체", "AI 번역투 고쳐", "사람이 쓴 것처럼 윤문", "AI 윤문", "ChatGPT 티 제거", "한글 AI 탐지·윤문", "AI 글 사람처럼", "번역투 제거", "영어 인용 많은 글 윤문", "AI 글 티 안 나게", "휴머나이저", "humanize Korean", "AI detector bypass 한글". 후속 작업 — "특정 카테고리만 다시", "윤문 강도 조정", "장르 바꿔서", "이 문단만", "2차 윤문" 도 모두 이 스킬. 단순 맞춤법·오탈자 교정은 직접 처리, 번역은 번역 스킬, 내용 추가·삭제를 동반한 재작성은 별도 집필 스킬.RedactareFără avertismente★ 6,1 K↓ —
- humanize-koreanepoko77-ai/im-not-aiAI(ChatGPT·Claude·Gemini)가 쓴 한글 텍스트를 사람이 쓴 글처럼 진단·윤문·검증한다. 번역투, 기계적 병렬, 관용구, 피동, 접속사, 균일한 리듬 등 10대 카테고리 85개 패턴을 다루며 route_hint에 따라 light·standard·heavy 경로를 실행한다. "AI 티 없애줘", "AI 윤문", "사람이 쓴 것처럼", "번역투 고쳐", "정밀 모드", "2차 윤문", "이 문단만 다시", "humanize Korean" 요청에 사용한다. 단순 맞춤법 교정, 번역, 사실이나 내용을 추가하는 재작성에는 사용하지 않는다.RedactareFără avertismente★ 6,1 K↓ —
- draw-io-diagram-generatorgithub/awesome-copilotUse when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode-drawio VS Code extension, and the full agent workflow from request to a ready-to-open file.RedactareVerifică întâi★ 40,3 K↓ —
- cc-workflow-ai-editorbreaking-brake/cc-wf-studioAI workflow editor for CC Workflow Studio. Create and edit visual AI agent workflows through interactive conversation using MCP tools (get_workflow_schema, get_current_workflow, apply_workflow, update_nodes). Use when the user wants to create a new workflow, modify an existing workflow, or edit the workflow canvas in CC Workflow Studio via the built-in MCP server.RedactareFără avertismente★ 5,4 K↓ —Apare și în 1 alt depozit
- f5brycewang-stanford/Auto-Empirical-Research-SkillsHumanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance Triggers: verify humanization, check transformation, validate changesRedactareFără avertismente★ 4,7 K↓ —
- pyfixest-referencebrycewang-stanford/Auto-Empirical-Research-SkillsDense, machine-readable API reference for PyFixest — high-dimensional fixed-effects OLS/WLS/IV and Poisson (feols, fepois, feglm), clustered/robust standard errors, R-style formula syntax, and post-estimation. Use when writing or debugging Python fixed-effects regressions with the pyfixest package.RedactareFără avertismente★ 4,7 K↓ —
- g5brycewang-stanford/Auto-Empirical-Research-SkillsVS-Enhanced Academic Style Auditor - Academic Writing Quality Analysis Identifies 24+ writing patterns that reduce scholarly quality, adapted from Wikipedia AI Cleanup guidelines Use when: checking drafts before submission, improving academic writing quality, preparing for style improvement Triggers: writing quality, style audit, pattern check, writing review, academic style checkRedactareFără avertismente★ 4,7 K↓ —
- g6brycewang-stanford/Auto-Empirical-Research-SkillsVS-Enhanced Academic Style Humanizer - Transforms writing patterns to achieve authentic scholarly voice Applies transformations from G5 analysis to create natural academic prose Use when: improving AI-assisted writing quality, preparing manuscripts, enhancing scholarly voice Triggers: humanize, transform, make natural, improve writing quality, improve styleRedactareFără avertismente★ 4,7 K↓ —
- academic-proofreaderbrycewang-stanford/Auto-Empirical-Research-SkillsPerform an exhaustive, multi-pass proofread and copy-edit of an applied-microeconomics manuscript to top-economics-journal standards (AER, QJE, Econometrica, ReStud), checking prose, equations, table notes, footnotes, and citations for avoidable errors. Use before submitting or circulating an empirical economics paper.RedactareFără avertismente★ 4,7 K↓ —
- statabrycewang-stanford/Auto-Empirical-Research-SkillsComprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust, etc.). Covers syntax, options, gotchas, and idiomatic patterns. Use this skill whenever the user asks you to write, debug, or explain Stata code.RedactareFără avertismente★ 4,7 K↓ —
- poteto-modemichael-denyer/pstack-claudepoteto's agent style for concise, detailed responses, deliberate subagents, unslopped prose, simple code, and verified work. Use for poteto, /poteto-mode, or requests to work in this style.RedactareFără avertismente★ 3,2 K↓ —
- setup-pstackmichael-denyer/pstack-claudeConfigure which models pstack uses per role. Detects available models and writes the current runtime's override sheet. Use for /setup-pstack, "configure pstack models", changing pstack's model choices, or turning the SessionStart hook on or off.RedactareFără avertismente★ 3,2 K↓ —
- de-ai-writerdavepoon/buildwithclaudeAI 文案去味器。用户提供 AI 生成的文本（公众号/小红书/电商文案等），觉得“太 AI 味”要改得更自然、更像人写的时使用。输出自然有人味的中文。De-AI writer: rewrite AI-generated copy (WeChat articles, Xiaohongshu, e-commerce) into natural, human-sounding Chinese text.RedactareFără avertismente★ 3,7 K↓ —
- short-drama-editzenstory-ai/drama-skills将已生成的短剧镜头剪成成片，记录入出点、镜序、声音、字幕与交付规格。用于套剪、加字幕、统一响度、调整节奏或导出精修素材；需要补素材或修改故事时转回对应创作阶段。RedactareFără avertismente★ 3,2 K↓ —
- pr-writing-reviewevalstate/fast-agentExtract and analyze writing improvements from GitHub PR review comments. Use when asked to show review feedback, style changes, or editorial improvements from a GitHub pull request URL. Handles both explicit suggestions and plain text feedback. Produces structured output comparing original phrasing with reviewer suggestions to help refine future writing.RedactareFără avertismente★ 3,9 K↓ —
- goal-prompttrailofbits/skillsDrafts copy-paste-ready /goal commands for goal mode in Claude Code and Codex. Use when the user asks to create, write, rewrite, improve, compress, clean up, or prepare a goal prompt, goal condition, /goal command, goal-mode objective, or copy-ready long-running task objective.RedactareFără avertismente★ 7,7 K↓ —