browser-scrape
vmain
io.github.ruvnet/ruflo/browser-scrape
DEPRECATED in v0.2.0 -- use browser-extract instead; this is a thin shim for backward compatibility, removed in v0.3.0
“github gitlab git pull” 共 3,307 个结果
vmain
io.github.ruvnet/ruflo/browser-scrape
DEPRECATED in v0.2.0 -- use browser-extract instead; this is a thin shim for backward compatibility, removed in v0.3.0
vmain
io.github.ruvnet/ruflo/browser-replay
Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift
vmain
io.github.ruvnet/ruflo/browser-login
Drive an authentication flow once, sanitize cookies through AIDefence, and vault a reusable cookie handle in browser-cookies for future sessions
vmain
io.github.ruvnet/ruflo/browser-test
UI test recipe -- composes browser-record (capture) + browser-replay (verify) so every test produces a replayable RVF artifact, not an ephemeral run
vmain
io.github.ruvnet/ruflo/browser-form-fill
Fill a web form by mapping field-name → value, with optional template lookup from browser-templates for known forms
vmain
io.github.ruvnet/ruflo/browser-extract
Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the model
vmain
io.github.ruvnet/ruflo/browser-auth-flow
Probe a site's authentication flow for redirect leaks, missing CSRF, weak session cookies, and OAuth misconfiguration; produces an auth findings.md
vnext
io.github.webiny/webiny-js/cms
API — Headless CMS — 124 abstractions. Entry, model, and group event handlers and use cases.
vnext
io.github.webiny/webiny-js/db
api/db — 3 abstractions.
vnext
io.github.webiny/webiny-js/languages
api/languages — 2 abstractions.
vnext
io.github.webiny/webiny-js/mailer
api/mailer — 11 abstractions.
vnext
io.github.webiny/webiny-js/tenant-manager
API — Tenant Manager — 9 abstractions. Tenant management event handlers and use cases.
vmain
io.github.Chachamaru127/claude-code-harness/agent-browser
Browser automation through the repo agent-browser CLI. Explicit helper for navigation, forms, screenshots, scraping, and web-app checks. Prefer Browser Use or Playwright when available. Do NOT load for: sharing URLs, embedding links, or editing screenshot files.
vmain
io.github.davidtoby/agent-skills/automation-browser-api-workflows
Class-level workflow for browser automation, API reverse-engineering, macOS UI automation, tmux/interactive CLI control, MCP tool calling, camera capture, and direct tool/API replacement of fragile UI flows. Use when asked to automate websites/apps, learn private site APIs from traffic, drive interactive CLIs, call MCP servers/tools, capture camera frames, or control macOS UI.
vmain
io.github.MengTo/Skills/css-border-gradient
Apply subtle gradient-border treatments for premium web surfaces. Use when cards, pricing panels, nav bars, modals, buttons, or hero surfaces need a refined edge highlight without a loud glow.
vmain
io.github.LeoYeAI/openclaw-master-skills/datadog-monitor-designer
Design Datadog monitors that catch real production issues without paging on noise. Covers SLO-based monitoring with multi-window multi-burn-rate alerts, the decision between threshold/anomaly/forecast/outlier/composite monitor types, tag-driven routing, downtime windows, monitor template inheritance per service tier, notification message engineering, and runbook linking. Acts as a senior SRE who has owned 4,000+ Datadog monitors and pruned them down to 600 monitors that still catch every real incident. Knows the Datadog billing levers (custom metrics, indexed logs, ingested traces), how `from`/`group_by` interact with no-data evaluation, the difference between simple alerts and multi-alerts, and which monitor types are silently expensive. Use when monitors are paging on cosmetic blips, when a service tier needs a coherent monitor set, when SLOs need turning into burn-rate alerts, or when monitor sprawl is unmanageable. Triggers on "datadog", "datadog monitor", "monitor design", "slo", "burn rate", "anomaly mo
vmain
io.github.LeoYeAI/openclaw-master-skills/fly-io-deployer
Deploy and operate Node, Python, Go, Rust, Elixir, and Docker apps on Fly.io with production-grade fly.toml authoring, Machines API orchestration, region selection (latency vs sovereignty vs egress), Fly Postgres clustering, LiteFS for SQLite replication, Upstash Redis bindings, Tigris object storage, persistent volumes, WireGuard private networking with 6PN, secrets via flyctl, blue/green deploys via auto-stopping machines, scale-to-zero strategies, scheduled scaling, preview deploys per PR, multi-region replicas, hot-config reload, machine SSH, log shipping to Better Stack/Axiom/Datadog/Logtail, and aggressive cost tuning. Triggers on "fly.io", "flyctl", "fly machines", "fly.toml", "fly postgres", "litefs", "tigris", "upstash on fly", "fly deploy", "migrate from heroku", "migrate from render", "migrate from railway", "scale to zero", "fly regions", "fly volumes", "fly wireguard", "6pn", "fly secrets".
vmain
io.github.OpenAEV-Platform/openaev/review-frontend
Frontend review checklist for OpenAEV React/TypeScript code: component patterns, forms, MUI usage, permissions, i18n, state management, dead code. Use when reviewing PRs or auditing frontend features.
vmain
io.github.elophanto/EloPhanto/nextjs
Key facts and links for Next.js 16. Use for planning, writing, and troubleshooting Next.js 16 changes.
vmain
io.github.microsoft/skills-for-fabric/sqldw-operations-cli
Analyze Fabric Data Warehouse performance via CLI using sqlcmd and queryinsights views. Diagnose slow queries, SQL pool pressure, cache coldness, and recommend clustering keys. Triggers: "DW slow query analysis", "slowest queries warehouse", "queryinsights long running", "warehouse CPU resource consumers", "SQL pool pressure window", "pressure events warehouse", "DW cache warmth cold start", "cache warmth analysis", "warehouse cluster key recommendation", "cluster tables performance", "DW performance baseline comparison", "performance degraded warehouse", "warehouse user query patterns", "queryinsights diagnostics", "DW optimization sqlcmd".
vmain
io.github.eclipse-rdf4j/rdf4j/docker-jfr-benchmark-loop
Run a repeatable RDF4J performance loop against one JMH benchmark in Docker with Linux Java 26 and JFR CPU-time profiling. Use when working in this repo on benchmark-guided performance changes, hotspot triage, JFR reading, CPU bottleneck analysis, or repeated baseline, fix, and rerun loops. Trigger on requests mentioning benchmark, profiling, JFR, hotspot, perf loop, CPU bottleneck, or Docker benchmark runs in RDF4J.
vmain
io.github.taracodlabs/aiden/docker-management
Manage Docker containers, images, volumes, and networks via the Docker CLI and Dockerode API
vmain
io.github.sickn33/antigravity-awesome-skills/react-patterns
Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices.
vmain
io.github.sickn33/antigravity-awesome-skills/browser-automation
Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns.