Results for “baselinker”

Implements deep linking, universal links (iOS), and app links (Android) in Flutter using go_router, including domain configuration, file association, and URL-based dynamic routing.

Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools. Use when users ask for clickable links (especially in Slack) that open threads, files, folders, or app settings.

Karpathy's LLM Wiki: build/query interlinked markdown KB.

Train reinforcement learning agents using PPO, SAC, DQN, TD3, DDPG, and A2C algorithms with a scikit-learn-like API. Supports custom Gymnasium environments, vectorized environments, callbacks, and model persistence.

Karpathy's LLM Wiki: build/query interlinked markdown KB.

Build and maintain a persistent, interlinked markdown knowledge base that compiles knowledge once and keeps it current, with cross-references and contradiction flags.

Build, validate, and troubleshoot deep links for Codex, Cursor, VS Code, Visual Studio, and similar tools. Use when users ask for clickable links (especially in Slack) that open threads, files, folders, or app settings.

Enforces an opinionated UI baseline to fix spacing, hierarchy, typography, and layout issues in AI-generated interfaces.

Karpathy's LLM Wiki: build/query interlinked markdown KB.

Use when you need to navigate relationships between records in NCBI Entrez databases, find related articles, track citations, or link records across different databases such as PubMed to Protein.

Karpathy's LLM Wiki: build/query interlinked markdown KB.

Use when link building strategies, authority management, backlink acquisition, or link profile optimization is needed. This agent specializes in link building and authority management within the ContentForge AI ecosystem.

Use when following local EDirect link relations such as PubMed `CITED`, `CITES`, or `PMCID` from an incoming UID stream or `ENTREZ_DIRECT` message.

Base reference tool. Use when working with base in blockchain contexts.

Karpathy's LLM Wiki: build/query interlinked markdown KB.

Karpathy's LLM Wiki: build/query interlinked markdown KB.

Use when you need to discover available NCBI Entrez databases, explore searchable fields within a specific database, or identify cross-database links for building EDirect queries.

Build a persistent, compounding knowledge base that combines a wiki, knowledge graph, and raw source storage for structured retrieval with provenance.

Scans a codebase for broken links and references, auto-fixes what it can, and flags what needs human review.

Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.

Create a structured H2/H3 outline with BLUF openers and MECE coverage, bound by the research dossier's beat spec. Triggered after /research and /brand-reference.

Measures performance baselines, detects regressions before and after PRs, and compares stack alternatives.

Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.

Analyze URLs or text to discover ranked Polymarket, Hyperliquid, and Deribit markets with Quotient edge scores, paid via on-chain x402 settlement.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

Measure performance baselines, detect regressions before and after PRs, and compare stack alternatives using browser, API, and build benchmarks.

Optional low-priority poller that inventories Worklink tool pins from <home>/worklink.yaml and files/reuses Chainlink bump issues when upstream versions drift. Opt-in: copy this directory into <home>/skills/worklink-tool-pins/ and configure tool_pins in worklink.yaml.

对 wiki 提问，综合检索相关页面后回答，好的回答可 crystallize 回 wiki

Automates hypothesis generation and testing on tabular datasets using LLMs, combining data-driven discovery with literature integration for scientific research.

飞书多维表格（Base）：基于需求搭建系统和应用，或把已有数据、零散信息结构化，搭建成可持续记录、收集、整理、关联、协作、统计、提醒和流转的数据工具与管理系统。适用于个人、组织、企业的日常记录、清单登记、资料库、报名问卷、进度跟踪及项目/客户/订单/库存等系统和应用的生成需求；用户想把信息记下来、管起来、统计查看、持续更新或自动处理时使用，或提及 Base/多维表格/bitable、提供 Base 链接时使用；已有 Base 的查询、编辑和分析同样使用。

Generate pragmatic CI/CD pipelines from detected project stack signals, with fast baseline generation, repeatable checks, and environment-aware deployment stages.

Stake $GEM tokens on Base mainnet to earn yield and unlock in-game earn/cashout on Gem Miner. Check balances, stake, unstake, and claim rewards via smart contract interactions.

SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO — baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".

Search meme templates, suggest formats, and generate local or hosted image memes.

Validates animation durations, enforces typography scale, checks component accessibility, and prevents layout anti-patterns in Tailwind CSS projects. Use when building UI components, reviewing CSS utilities, styling React views, or enforcing design consistency.