搜索「Batch Processing」的结果

io.github.jleechanorg/claude-commands/automation-audit

Audit automation job runs, logs, PR processing metrics, and AI-authored remote commits.

io.github.K-Dense-AI/scientific-agent-skills/experimental-design

Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls, factorial or fractional-factorial designs, design of experiments (DOE), screening many factors, response-surface optimization, crossover or repeated-measures or split-plot designs, cluster/group randomization, Latin squares, plate layouts, batch/run-order effects, replication vs. pseudoreplication, or sequential/adaptive/group-sequential designs. Trigger this even for informal phrasings like "how should I set up this experiment", "how do I avoid confounding", "what's the best way to test these 6 factors", or "assign these mice to conditions". For computing the sample size or power once the design is chosen, use statistical-power; for analyzing data already collected, use statistica

io.github.affaan-m/ECC/ui-to-vue

Use when the user has UI screenshots or design exports that need batch conversion into Vue 3 components, especially with Vant, Element Plus, or Ant Design Vue.

io.github.affaan-m/ECC/django-celery

Django + Celery async task patterns — configuration, task design, beat scheduling, retries, canvas workflows, monitoring, and testing. Use when adding background jobs, scheduled tasks, or async processing to a Django app.

io.github.HKUDS/CLI-Anything/cli-anything-live2d

Inspect, validate, edit, lint, diff, batch-manage, and deploy Live2D Cubism models (.model3.json) from the command line.

io.github.HKUDS/CLI-Anything/skills

Inspect, validate, edit, lint, diff, batch-manage, and deploy Live2D Cubism models (.model3.json) from the command line.

io.github.github/spec-kit/add-community-extension

Add a community extension to the Spec Kit catalog from a GitHub issue submission. USE FOR: processing extension submission issues, validating catalog entries, updating catalog.community.json and docs/community/extensions.md, creating PRs. DO NOT USE FOR: creating new extensions from scratch, or first-party extension work.

io.github.affaan-m/ECC/quarkus-patterns

Quarkus 3.x LTS architecture patterns with Camel for messaging, RESTful API design, CDI services, data access with Panache, and async processing. Use for Java Quarkus backend work with event-driven architectures.

io.github.affaan-m/ECC/springboot-patterns

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

io.github.thedaviddias/Front-End-Checklist/no-unchecked-indexed-access

Use when auditing tsconfig.json for missing safety flags, reviewing code that uses array index access in data processing pipelines, or investigating runtime undefined errors that TypeScript did not catch.

io.github.jeremylongshore/claude-code-plugins-plus-skills/twinmind-security-basics

Security best practices for TwinMind: on-device audio processing, encrypted cloud backups, microphone permissions, and data privacy controls. Use when implementing security basics, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind security basics", "twinmind security basics".

io.github.wshobson/agents/incident-runbook-templates

Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use this skill when building a service outage runbook for a payment processing system; creating database incident procedures covering connection pool exhaustion, replication lag, and disk space alerts; onboarding new on-call engineers who need step-by-step recovery guides written for a 3 AM brain; or standardizing escalation matrices across multiple engineering teams.

io.github.wshobson/agents/python-error-handling

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

io.github.wshobson/agents/python-background-jobs

Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.

io.github.jleechanorg/claude-commands/automation-audit

Audit automation job runs, logs, PR processing metrics, and AI-authored remote commits.

io.github.aipoch/medical-research-skills/pdf-processor

Perform basic local PDF operations (merge, split, extract pages/text/tables, create) when users request offline PDF processing without external services.

io.github.LeoYeAI/openclaw-master-skills/pdf-convert-compdf

PDF conversion toolkit featuring AI layout analysis and OCR. Converts PDFs to Word, Markdown, JSON, PPT, CSV, HTML, and XML for seamless LLM data processing.

io.github.danielmiessler/LifeOS/Browser

Headless browser automation via agent-browser — Rust CLI daemon with persistent auth profiles for fast, scriptable, parallel browser work. Supports batch commands, network interception, device emulation, per-site profile auth (one-time headed login, headless forever after), and parallel isolated sessions via --session. Workflows: ReviewStories (fan out YAML user stories to parallel UIReviewers), Automate (load/run parameterized recipe templates), Update. Delegates to general-purpose agents with agent-browser instructions for background parallel scraping. Falls back to Interceptor if site has bot detection. USE WHEN headless browser, batch scrape, fast screenshot, dev server test, parallel browser, background automation, extract data, review stories, automate recipe, batch screenshots, scrape multiple pages in parallel. NOT FOR deploy verification or UI confirmation with real Chrome (use Interceptor). NOT FOR simple single-URL fetching (use WebFetch). NOT FOR CAPTCHA or bot-detection bypass (use BrightData or

io.github.danielmiessler/Personal_AI_Infrastructure/Browser

Headless browser automation via agent-browser — Rust CLI daemon with persistent auth profiles for fast, scriptable, parallel browser work. Supports batch commands, network interception, device emulation, per-site profile auth (one-time headed login, headless forever after), and parallel isolated sessions via --session. Workflows: ReviewStories (fan out YAML user stories to parallel UIReviewers), Automate (load/run parameterized recipe templates), Update. Delegates to general-purpose agents with agent-browser instructions for background parallel scraping. Falls back to Interceptor if site has bot detection. USE WHEN headless browser, batch scrape, fast screenshot, dev server test, parallel browser, background automation, extract data, review stories, automate recipe, batch screenshots, scrape multiple pages in parallel. NOT FOR deploy verification or UI confirmation with real Chrome (use Interceptor). NOT FOR simple single-URL fetching (use WebFetch). NOT FOR CAPTCHA or bot-detection bypass (use BrightData or

io.github.midudev/autoskills/python-executor

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib

io.github.midudev/autoskills/python-background-jobs

Python background job patterns including task queues, workers, and event-driven architecture. Use when implementing async task processing, job queues, long-running operations, or decoupling work from request/response cycles.

io.github.comet-ml/opik/python-sdk

Python SDK patterns for Opik. Use when working in sdks/python, on SDK APIs, integrations, or message processing.

io.github.openakita/openakita/python-executor

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib

io.github.udecode/plate/testing-review

Review whole-repo test quality, rerun coverage, score remaining worth-testing files, inspect slow-drift and stale test debt, and publish the next testing batch. Use every few weeks or before large breaking changes and rearchitecture.