Skills за
вашата задача.

Намерете инструкция, прочетете оригиналния файл и подгответе команда за своя инструмент.

31 301 skills в каталога

Данните имат нужда от нова проверка.Последна успешна проверка: 23.09.2026 г.

Обхват и актуалност

Skills в индекса: 31 301
Наблюдавани репозитории: 23 011
Skills в наблюдавани репозитории: 21 767
Skills без наблюдение на репозитория: 9534
Чакащи репозитории / файлове: 21 801 / 28 839
Чакащи търсения: 381
Грешки при проверката: 19
Последен опит: 23.09.2026 г.

Проверката на източника не означава, че всяка инструкция е изпробвана от Level8. Каталогът не обхваща непременно всички публични хранилища.

Търсене в целия индекс. Метаданните показват посоченото от източника; липсващите стойности остават означени.

Филтри и подредба1 активни

КатегорияПлатформаНивоОбновен в GitHubПодредбаРезултати на страница

Датата в GitHub е отделна от първата поява в моя индекс. Филтърът по дата изключва записите без посочено обновяване.

4946 резултата

Страница 57: 24 записа в 8 групи по репозиторий. Всички записи от страницата са показани. Номерът пази позицията от избраната подредба.

Общ източник

Galaxy-Dawn/claude-scholar

3 skills от този източник на тази страница

This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method", "plan research", or mentions research project initiation phase. Provides comprehensive guidance for research startup workflow from idea generation to planning.

Оригинален текст · няма потвърден превод на българскиПлатформи: Не са посочениНиво: Не е посоченоВ индекса: 22.09.2026 г.Обновен в GitHub: 27.08.2026 г.

results-analysis

Galaxy-Dawn · Данни и AI

This skill should be used when the user asks to "analyze experimental results", "run strict statistical analysis", "compare model performance", "generate scientific figures", "check significance", "do ablation analysis", or mentions interpreting experiment data with rigorous statistics and visualization. It focuses on strict analysis bundles, not Results-section prose.

results-report

Galaxy-Dawn · Данни и AI

This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts into a structured, decision-oriented research report. It assumes strict analysis should come from `results-analysis` first.

Общ източник

GargantuaX/gemini-watermark-remover

1 skill от този източник на тази страница

gemini-watermark-remover

GargantuaX · Данни и AI

Remove visible Gemini image watermarks from local image files by calling the project's CLI. Use when the user wants an agent to clean one or more local Gemini-generated images and save de-watermarked output files.

Оригинален текст · няма потвърден превод на българскиПлатформи: Не са посочениНиво: Не е посоченоВ индекса: 21.09.2026 г.Обновен в GitHub: 10.09.2026 г.

Общ източник

wuyoscar/GPT-Image2-Skill

1 skill от този източник на тази страница

gpt-image

wuyoscar · Данни и AI

Generate or edit images with GPT Image 2 or 2.5 through the packaged CLI and Reference Gallery. Use for image requests including imprecise 'GPT 2.5' model names, posters, typography, reference edits, and inpainting; resolve the model choice before generation.

Оригинален текст · няма потвърден превод на българскиПлатформи: ClaudeНиво: НапредналоВ индекса: 11.06.2026 г.Обновен в GitHub: 09.09.2026 г.

Общ източник

dotnet/skills

2 skills от този източник на тази страница

create-custom-agent

dotnet · Данни и AI

Creates VS Code custom agent files (.agent.md) for specialized AI personas with tools, instructions, and handoffs. Use when scaffolding new custom agents, configuring agent workflows, or setting up agent-to-agent handoffs.

Оригинален текст · няма потвърден превод на българскиПлатформи: ClaudeНиво: НапредналоВ индекса: 11.06.2026 г.Обновен в GitHub: 21.09.2026 г.

technology-selection

dotnet · Данни и AI

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector searc

Общ източник

s1dashu/ip-as-logo-skill

1 skill от този източник на тази страница

ip-as-logo

s1dashu · Данни и AI

Generate extremely simple, cute, personified square character images with rounded heavy forms, two purposeful character colors, one solid background color, and a dominant lower-corner composition. Use when creating an animal, creature, robot, ghost, plant, object, or other character image, including when the agent should infer three product-relevant directions and propose six independent candidates for approval.

Оригинален текст · няма потвърден превод на българскиПлатформи: Не са посочениНиво: Не е посоченоВ индекса: 21.09.2026 г.Обновен в GitHub: 22.08.2026 г.

Общ източник

breaking-brake/cc-wf-studio

2 skills от този източник на тази страница

cc-workflow-ai-editor

breaking-brake · Данни и AI

AI 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.

Оригинален текст · няма потвърден превод на българскиПлатформи: ClaudeНиво: НачалноВ индекса: 11.06.2026 г.Обновен в GitHub: 20.09.2026 г.

cc-workflow-ai-editor

breaking-brake · Данни и AI

Оригинален текст · няма потвърден превод на българскиПлатформи: Не са посочениНиво: Не е посоченоВ индекса: 21.09.2026 г.Обновен в GitHub: 20.09.2026 г.

Общ източник

maziyarpanahi/openmed

13 skills от този източник на тази страница

ask-openmed

maziyarpanahi · Данни и AI

Choose the first OpenMed workflow skill for an intake, privacy, extraction, exchange, or verification request using deterministic local routing. Use when a goal is broad, spans several clinical-data stages, or leaves the data-sensitivity status unclear; the privacy gate is selected before downstream work when raw clinical or personal content may be present.

auditing-deid-leakage

maziyarpanahi · Данни и AI

Adversarially scan already-de-identified clinical text for residual identifiers and emit a leakage report that blocks release on any hit. Use after OpenMed de-identification when the user asks to verify a redaction, prove no PHI/PII leaked, gate a dataset before sharing, or run a second-pass detector. Covers format and checksum detectors (SSN, Luhn for card numbers, MRN/account patterns, emails, phones, dates), entropy heuristics for high-randomness tokens, severity scoring, and a hard block-on-

benchmark-pii-recall

maziyarpanahi · Данни и AI

Benchmark an OpenMed PII model with synthetic gold spans and report label-aware exact-span and grapheme recall without emitting identifier surfaces. Use when an agent must compare a model, threshold, backend, or quantized artifact and enforce a recall floor before release.

building-patient-timelines

maziyarpanahi · Данни и AI

Assemble a chronological patient timeline from OpenMed-extracted clinical events, normalizing dates and resolving relative time expressions on-device. Use when the user wants to build a patient timeline, order events from clinical notes, reconstruct a longitudinal history, plot a course of illness, or turn analyze_text/deidentify output into a sorted sequence of dated encounters, diagnoses, medications, and procedures. Covers temporal normalization (absolute and relative), event modeling toward

building-with-openmed

maziyarpanahi · Данни и AI

Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation. Use when the user mentions OpenMed, wants to install it, asks which OpenMed capability or model fits a task, or is starting to build a clinical/medical text pipeline and needs the right entry point.

choosing-openmed-models

maziyarpanahi · Данни и AI

Discover and pick the right OpenMed model for a clinical or biomedical task, domain, or language. Use when the user asks which OpenMed model to use, wants to list model categories, find a Disease vs Oncology vs Privacy/PII model, get a PII model for a specific language, search models by size or task, or inspect a model's labels and metadata before loading. Covers list_model_categories, get_models_by_category, get_pii_models_by_language, get_default_pii_model, search_models(ModelQuery(...)), get_

configuring-privacy-policies

maziyarpanahi · Данни и AI

Select and customize OpenMed's seven bundled privacy policy profiles for de-identification, and build custom surrogate generators. Use when the user asks which policy fits HIPAA Safe Harbor vs Expert Determination vs GDPR vs PIPEDA vs a research limited dataset vs strict no-leak, wants to pass policy= to deidentify(), needs to keep quasi-identifiers for research, or must register a custom MRN/name/address surrogate provider. Covers the profile-to-use-case map, AnonymizerConfig/Anonymizer for fin

deidentifying-multilingual-text

maziyarpanahi · Данни и AI

De-identify non-English clinical text on-device with OpenMed by passing lang= and locale= to deidentify(). Use when the user has Spanish, German, French, Italian, Portuguese, Dutch, Hindi, Telugu, Arabic, Japanese, or Turkish medical notes, needs locale-aware fake surrogates, must handle language-specific national IDs (DNI, NIR, Steuer-ID, codice fiscale, BSN, CPF, TCKN, Aadhaar), or asks which languages OpenMed PII supports. Covers SUPPORTED_LANGUAGES, get_pii_models_by_language, get_patterns_f

evaluating-with-leakage-gates

maziyarpanahi · Данни и AI

Evaluate an OpenMed de-identification or clinical NER model against the leakage-first release gates G1a through G8, which gate releases on residual PHI leakage rather than on F1. Use when the user wants to run the OpenMed eval harness on a synthetic golden set, decide whether a de-id model is RELEASABLE or QUARANTINED, enforce direct-identifier recall floors, require zero critical leakage, fit calibration thresholds, or produce a signed gate report. Trigger on \"release gate\", \"leakage\", \"is

Оригинален текст · няма потвърден превод на българскиПлатформи: Не са посочениНиво: Не е посоченоВ индекса: 22.09.2026 г.Обновен в GitHub: 22.09.2026 г.

extracting-clinical-entities

maziyarpanahi · Данни и AI

Run clinical and biomedical named-entity recognition on medical text with OpenMed's analyze_text. Use when the user wants to extract diseases, drugs, anatomy, genes, or other biomedical entities from notes; needs NER output as dict/json/html/csv; wants to filter by confidence, group entities, toggle sentence detection, or save spans to JSONL; or wants the openmed analyze CLI. Pairs with loading-openmed-models and choosing-openmed-models, and runs after deidentifying-clinical-text in a privacy-fi

extracting-dicom-metadata

maziyarpanahi · Данни и AI

Reads DICOM file headers and DICOM-SR (Structured Report) content to pull study/series metadata and embedded report text, and flags PHI carried in header tags. Use before OpenMed processing when ingesting imaging data (CT/MR/CR/US, radiology SR) and you need the report narrative de-identified and analyzed, plus a list of header tags that must be scrubbed. Hand SR/report text to openmed.deidentify and openmed.analyze_text; use pydicom to read tags. Trigger keywords: DICOM, pydicom, DICOM-SR, stru

loading-openmed-models

maziyarpanahi · Данни и AI

Load OpenMed clinical/biomedical NER models from the Hugging Face Hub or a local path and reuse them efficiently across calls. Use when the user wants to load an OpenMed model, control the model cache, run fully offline after a one-time download, reuse a ModelLoader to avoid reloading, set a cache_dir or device, or pick between a registry key, a full Hugging Face id, and a local directory. Pairs with choosing-openmed-models (pick the model) and extracting-clinical-entities (run it).

pseudonymizing-for-gdpr

maziyarpanahi · Данни и AI

Apply GDPR-grade pseudonymization to clinical or personal text with OpenMed, keeping a separately-held re-linkage key so the data can be controlled-re-linked later. Use when the user must process EU personal/health data under GDPR, asks for pseudonymization vs anonymization, needs Art. 4(5) / Art. 9 / Recital 26 alignment, wants a reversible mapping/key vault held apart from the data, or needs controlled re-linkage. Covers openmed.deidentify(policy=\"gdpr_pseudonymization\", keep_mapping=True),

Общ източник

anthropics/financial-services-plugins

1 skill от този източник на тази страница

3-statements

anthropics · Данни и AI

Complete, populate and fill out 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement) . Use when asked to fill out model templates, complete existing model frameworks, populate financial models with data, complete a partially filled IS/BS/CF framework, or link

Оригинален текст · няма потвърден превод на българскиПлатформи: ClaudeНиво: НапредналоВ индекса: 04.03.2026 г.Обновен в GitHub: 24.02.2026 г.

Какво означават данните.

Пазя съществуващия каталог и добавям намерени SKILL.md файлове след прочит на метаданните. Наличният индекс остава използваем, когато проверката е частична.

Платформата и нивото описват записаното в източника. Те не са гаранция за съвместимост. Български текст се показва само когато в каталога има отделен превод; иначе виждате оригинала с означен език.

Общите звезди показват натрупана популярност. За „Набират интерес“ се сравнява измереният темп при достатъчен интервал. ≥ означава непълна извадка. Под един час не изчислявам дневен темп; методът и изминалият период се показват до записа.

Проверете файла, лиценза и нужния достъп преди употреба. Нито каталогът, нито четенето на SKILL.md изпълняват външни инструкции.

Темата Agent Skills в GitHub

Подбрани

React Composition Patternsvercel-labs · Разработка
React Best Practicesvercel-labs · Разработка
Web Artifacts Builderanthropics · Разработка
Test-Driven Developmentobra · Тестване
Web App Testinganthropics · Тестване
Systematic Debuggingobra · Тестване
Vercel Deploymentvercel-labs · DevOps
Vercel AI SDK Patternsvercel · Данни и AI
MCP Builderanthropics · Данни и AI
Web Design Guidelinesvercel-labs · Дизайн
Frontend Designanthropics · Дизайн
Canvas Designanthropics · Дизайн
Algorithmic Artanthropics · Дизайн
Theme Factoryanthropics · Дизайн
Writing Implementation Plansobra · Документация
Document Co-Authoringanthropics · Документация
Dispatching Parallel Agentsobra · Инструменти
Brainstorming & Ideationobra · Инструменти
Verification Before Completionobra · Инструменти
Executing Implementation Plansobra · Инструменти
PDF Generationanthropics · Инструменти
DOCX Generationanthropics · Инструменти
Excel Spreadsheetsanthropics · Инструменти
PowerPoint Presentationsanthropics · Инструменти