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.
14.533 de skill-uri din 417 depozite · actualizat acum 9 ore
1.092 de skill-uri
- mapulus-automationComposioHQ/awesome-claude-skillsAutomate Mapulus tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- lodgify-automationComposioHQ/awesome-claude-skillsAutomate Lodgify tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- linkhut-automationComposioHQ/awesome-claude-skillsAutomate Linkhut tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- leverly-automationComposioHQ/awesome-claude-skillsAutomate Leverly tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- leadoku-automationComposioHQ/awesome-claude-skillsAutomate Leadoku tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- kickbox-automationComposioHQ/awesome-claude-skillsAutomate Kickbox tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- keen-io-automationComposioHQ/awesome-claude-skillsAutomate Keen IO tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- kaleido-automationComposioHQ/awesome-claude-skillsAutomate Kaleido tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- heyzine-automationComposioHQ/awesome-claude-skillsAutomate Heyzine tasks via Rube MCP (Composio). Always search tools first for current schemas.ProductivitateFără avertismente★ 77,7 K↓ —Apare și în 1 alt depozit
- packet-factoryopen-gitagent/opengapCreates, reviews, and dispatches atomic work packets. Every task with a side effect requires an APPROVED packet before execution. Scope is immutable after approval — expansion requires a new packet.ProductivitateFără avertismente★ 3 K↓ —
- statsbrycewang-stanford/Auto-Empirical-Research-SkillsEconometrics skill for descriptive statistics and summary tables. Activates when the user asks about: "descriptive statistics", "summary statistics", "summary table", "Table 1", "balance table", "means and standard deviations", "correlation matrix", "data summary", "sample characteristics", "variable distributions", "描述性统计", "描述统计", "汇总统计", "统计表", "均值标准差", "平衡性检验", "相关矩阵", "样本特征", "变量分布"ProductivitateFără avertismente★ 4,7 K↓ —
- workflow-schema-tuningbreaking-brake/cc-wf-studioUse when modifying `resources/workflow-schema.json` in cc-wf-studio to influence how AI agents generate workflows via the cc-workflow-ai-editor skill. Triggers include "AIが特定のノードタイプを選んでくれない", "ワークフロー生成のバイアスを調整したい", "スキーマの description を変えたい", "新しいノードタイプを追加したい", "嘘の制約がスキーマに混じっていないか確認したい". Covers what the schema actually does (instructions to AI, not runtime constraints), the design philosophy (align direction, do not prescribe rules), the build pipeline (.json → .toon auto-generated), and known bias sources to audit.ProductivitateFără avertismente★ 5,4 K↓ —
- tablebrycewang-stanford/Auto-Empirical-Research-SkillsEconometrics skill for creating publication-quality LaTeX regression and summary tables. Activates when the user asks about: "regression table", "LaTeX table", "esttab", "stargazer", "modelsummary", "publication table", "format results", "multi-panel table", "journal table", "export regression results", "table formatting", "回归表格", "LaTeX表格", "结果导出", "论文表格", "回归结果格式化", "多模型表格"ProductivitateFără avertismente★ 4,7 K↓ —
- diverga-memorybrycewang-stanford/Auto-Empirical-Research-SkillsDiverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트ProductivitateFără avertismente★ 4,7 K↓ —
- rebuttalbrycewang-stanford/Auto-Empirical-Research-SkillsWorkflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds. Use when user says "rebuttal", "reply to reviewers", "ICML rebuttal", "OpenReview response", or wants to answer external reviews safely.ProductivitateFără avertismente★ 4,7 K↓ —
- aer-workflowbrycewang-stanford/Auto-Empirical-Research-SkillsUse when deciding which AER-skills sub-skill to use next, before choosing a specialized skill or after a user asks how to sequence manuscript work from topic selection through rebuttal for AER, AER:Insights, or AEJ journals. Routes — does not replace — the specialized skills.ProductivitateFără avertismente★ 4,7 K↓ —
- c5brycewang-stanford/Auto-Empirical-Research-SkillsMeta-Analysis Master with Data Integrity, Effect Size, Error Prevention & Sensitivity Multi-gate validation and workflow orchestration for meta-analysis. Absorbed C6 (Data Integrity Guard), C7 (Error Prevention Engine), B3 (Effect Size Extractor), E5 (Sensitivity Analysis - Meta) capabilities Triggers: meta-analysis, pooled effect, heterogeneity, forest plot, funnel plot, Hedges g, data integrity, effect size extraction, sensitivity analysisProductivitateFără avertismente★ 4,7 K↓ —
- rebuttalbrycewang-stanford/Auto-Empirical-Research-SkillsWorkflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds.ProductivitateFără avertismente★ 4,7 K↓ —
- estimatebrycewang-stanford/Auto-Empirical-Research-SkillsRun a structural estimation pipeline — routes to /workflows:work with estimation context from empirical-playbookProductivitateFără avertismente★ 4,7 K↓ —
- aer-tables-figuresbrycewang-stanford/Auto-Empirical-Research-SkillsUse when constructing or revising regression tables, descriptive statistics tables, or figures after results are estimated and before submission for an AER, AER:Insights, or AEJ manuscript. Implements AER booktabs house style, regression-table layout, and figure-note conventions.ProductivitateFără avertismente★ 4,7 K↓ —
- next-ideabreaking-brake/cc-wf-studioRun one unattended IDEATION iteration of the autonomous value-creation loop — invent improvements a user of cc-wf-studio would notice, judge them against the value bar, and file the winners as locked `idea` issues. Never implements anything; the next-task skill builds from the queue this skill fills. Use when the user says "アイデア出して", "next idea", or wants proposals without implementation.ProductivitateFără avertismente★ 5,4 K↓ —
- next-taskbreaking-brake/cc-wf-studioRun one unattended IMPLEMENTATION iteration of the autonomous value-creation loop — steward any in-flight PR, fix interrupts (red CI / security / human bugs), or else build ONE queued `idea` issue on a branch off auto-dev and open a PR that squash-merges on green CI. Ideation lives in the next-idea skill; this skill consumes its queue. Use when the user says "次のタスク", "next task", "続きをやって", or wants autonomous progress without specifying what to do.ProductivitateFără avertismente★ 5,4 K↓ —
- stata-logbrycewang-stanford/Auto-Empirical-Research-SkillsTail, read, or search a Stata log file from a previous command or background task.ProductivitateFără avertismente★ 4,7 K↓ —
- obsidian-basesbrycewang-stanford/Auto-Empirical-Research-SkillsCreate and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.ProductivitateFără avertismente★ 4,7 K↓ —