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.
10.471 de skill-uri din 307 depozite · actualizat acum 9 minute
849 de skill-uri
- shap-explainera5c-ai/babysitterSHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.ProductivitateFără avertismente★ 1,9 K↓ —
- file-organizerComposioHQ/awesome-claude-skillsIntelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.ProductivitateFără avertismente★ 77,6 K↓ —Apare și în 3 alte depozite
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- narco-checkopen-gitagent/opengapMemory integrity audit. Detects hallucinations, circular confirmations, and state poisoning. Runs automatically after 2 consecutive failures or at nightly deep dive. Uses Opus 4.6 as the auditor model.ProductivitateFără avertismente★ 3 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- skill-event-calendarZJU-REAL/Easel查询未来 N 天的节日、纪念日、电商节点、行业事件，为创作者提供内容蹭点。 覆盖中国节假日、国际节日、电商大促、行业展会、考试节点、体育赛事等。 当用户说"未来有什么节日"、"下个月有什么可以蹭"、"节点日历"、"营销日历"、 "有什么热点可以提前准备"、"内容日历节点"、"最近有什么节日"、 "什么时候有大促"、"节日营销"时触发。 和 skill-content-calendar 的区别：content-calendar 排内容发布日程， event-calendar 提供节日和事件的数据查询，是选题灵感的上游数据源。ProductivitateFără avertismente★ 3,9 K↓ —
- tao-analyze-detection-kpiNVIDIA/skillsRun TAO Data Services KPI analysis for object detection, comparing inference annotations against ground truth to compute per-class TP/FP/FN/TN, precision, recall, accuracy, and AP at a fixed IoU. Use when an object detection workflow needs per-class mAP reported after inference, or when the user asks to "run KPI analyze", "compute detection mAP", or "score my OD predictions against ground truth".ProductivitateFără avertismente★ 3,7 K↓ —
- task-decompositionrohitg00/skillkitBreaks down complex software, writing, or research tasks into small, atomic, independently completable units with dependency graphs and milestone breakdowns. Use when the user asks to plan a project, decompose a feature, create subtasks, split up work, or needs help organizing a large piece of work into a step-by-step plan. Triggered by phrases like "break down", "decompose", "where do I start", "too big", "split into tasks", "work breakdown", or "task list".ProductivitateFără avertismente★ 1,6 K↓ —
- jetson-inference-mem-tuneNVIDIA/skillsPick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.ProductivitateFără avertismente★ 3,7 K↓ —
- tao-analyze-gaps-vlm-bcqNVIDIA/skillsExtract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions. Use when the user asks to "analyze VLM BCQ gaps", "extract VLM false positives and false negatives", or identify failure cases from a predictions JSON for DEFT root-cause analysis on a binary-classification VLM workflow.ProductivitateFără avertismente★ 3,7 K↓ —
- tao-analyze-gaps-od-mapNVIDIA/skillsRun TAO Data Services object-detection gap analysis from ground-truth and inference annotations. Use when an object detection workflow needs to identify weak images by comparing model predictions against ground truth using per-class recall, precision, and AP50 thresholds. Use when the user asks to "analyze OD gaps", "find weak OD images", or "run mAP gap analysis".ProductivitateFără avertismente★ 3,7 K↓ —
seedance-production-workflow
LearnPrompt/awesome-seedance
ProductivitateActualizat ieri
De la autor
Plan and carry a Seedance video from brief through references, storyboard, generation handoff, shot-level review, and targeted repair. Use for an end-to-end Seedance production request; use a narrower prompt skill for a single prompt.
Instalare
npx skills add LearnPrompt/awesome-seedance --skill seedance-production-workflow -a claude-code
Se instalează în .claude/skills/seedance-production-workflow/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 83
Securitate85
Proveniență80
Întreținere100
Licență100
Adopție53
Fișiere (8)
- SKILL.md
- agents/openai.yaml
- references/deliverables.md
- references/editable-template.md
- references/provider-capabilities.md
- references/qa-rubric.md
- scripts/test_validate_plan.py
- scripts/validate_plan.py