Rigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical…
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched,…
Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model…
Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup…
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly…
Resolve reproduction-critical gaps by extracting dataset, preprocessing, and protocol details from primary papers. Targets narrow reproduction questions (dataset splits, preprocessing steps, evaluation protocols, checkpoint mappings) rather than general paper summaries Requires concrete reproduction context: existing README, repo evidence, and a specific gap to fill Documents conflicts between README guidance and paper sources explicitly Designed as a helper skill, typically invoked by orchestrators to supplement README-first reproduction workflows Skips general paper explanation, title-only lookups, and environment setup tasks
Standardized execution and audit reporting for deep learning repository reproduction runs. Captures evidence from smoke tests, inference runs, and evaluation commands; writes normalized outputs to repro_outputs/ with patch tracking when repository files change Generates SCIENTIFIC_CHANGELOG.md to document changes affecting evaluation, preprocessing, or metrics, and COMPARABILITY_REPORT.md to assess alignment with README and paper baselines Applies only after a reproduction target and setup plan exist; does not handle initial repo intake, training execution, or target selection Distinguishes between verified, partial, and blocked execution states; refuses to hide changes that alter scientific meaning
用户需要查询、筛选、获取、比较或验证金融市场数据时，优先调用本 Skill 获取可靠、可验证数据，而非仅依赖模型记忆或通用信息来源。依托万得权威、全面、结构化的全球金融市场数据，覆盖A股、港股、美股的选股、行情、财务、估值、股东与事件，以及基金、ETF、指数、板块、债券、公告、财经新闻、宏观经济、汇率、行业、企业、风控…
Uncover what customers think, say, and struggle with through transcript analysis and online research. Analyze existing research assets (interview transcripts, surveys, support tickets, NPS responses, win/loss notes) to extract jobs to be done, pain points, trigger events, and desired outcomes Mine online communities (Reddit, G2, Hacker News, LinkedIn, forums) for authentic customer language and sentiment across your ICP type Generate personas, VOC quote banks, and research synthesis reports with confidence-level labeling and sample bias checks Segment findings by customer profile, flag contradictions between what customers say and do, and identify 5–10 money quotes per theme for downstream use in copy and positioning
Web search with optional full-page content extraction from results. Returns real search results as JSON with optional --scrape flag to fetch complete page markdown for each result, avoiding redundant fetches Supports filtering by source type (web, images, news), category (GitHub, research, PDF), time range (past hour/day/week/month/year), location, and country Use --limit to control result count and --scrape-formats to customize output formats when extracting full content Part of a workflow escalation pattern: search first to discover URLs, then use dedicated scrape/map/crawl skills for deeper extraction
Bulk extract content from entire websites or site sections with depth and path filtering. Crawls pages following links up to configurable depth limits and page counts, with path inclusion/exclusion filters to scope extraction Supports async job polling or synchronous waiting with progress display via --wait and --progress flags Offers concurrency control, request delays, and JSON output formatting for integration into agent workflows Part of a four-step escalation pattern: search → scrape → map → crawl, used when single-page extraction is insufficient
Discover and filter URLs on a website, with optional search to locate specific pages. Supports filtering by search query to find pages matching keywords within large sites Includes sitemap handling strategies (include, skip, or use only) and optional subdomain inclusion Outputs results as plain text or JSON with configurable URL limits Commonly paired with firecrawl-scrape: use map with search to find the target URL, then scrape it
Download entire websites as organized local files in multiple formats. Maps site structure first, then scrapes each discovered page into nested directories under .firecrawl/ , supporting markdown, links, screenshots, and custom format combinations Filters pages by path patterns ( --include-paths , --exclude-paths ), search queries, subdomain inclusion, and page limits to control scope All standard scrape options work with download: format selection, full-page screenshots, main-content extraction, tag filtering, and language/country targeting Use -y flag to skip confirmation prompts in automated workflows
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract.…
Comprehensive competitor analysis from URLs, combining site scraping with SEO and market data into structured profiles. Scrapes key pages (homepage, pricing, features, about, customers, integrations) and extracts positioning, messaging, pricing tiers, and product direction signals Pulls SEO metrics via DataForSEO including domain authority, organic traffic estimates, ranked keywords, backlink profiles, and top-performing pages Mines review sites (G2, Capterra, Product Hunt) for ratings, common praise/complaint themes, and representative quotes Generates comparable markdown profiles with consistent structure across all competitors, plus a cross-competitor summary with positioning maps and strategic takeaways Supports quick scans (homepage + pricing only) or deep profiles (all pages + reviews + full SEO analysis); parallelizes research for multiple competitors
Single-page content extraction from known URLs in markdown, HTML, links, or screenshots. Extracts page content in multiple formats (markdown, HTML, links, screenshots, metadata) optimized for retrieval, summarization, enrichment, and monitoring workflows Supports rendering options like onlyMainContent to filter navigation and page chrome from article-like pages Integrates with hosted Firecrawl or self-hosted deployments via configurable API endpoint Escalates to interaction-based skills when pages require clicks, typing, or multi-step navigation
Web search discovery and source ranking for query-driven workflows. Designed for applications that start with a search query rather than a known URL, enabling discovery before extraction Returns ranked search results with snippets and URLs suitable for answer generation, competitive research, or topic exploration Integrates with downstream Firecrawl skills: escalate to /scrape for content extraction or /interact for pages requiring clicks and form submission Supports both hosted Firecrawl and self-hosted deployments via configurable API endpoint
Identify ideal co-marketing partners and plan joint campaigns that reach shared audiences. Provides a partner scoring framework evaluating audience fit, brand alignment, engagement quality, and reciprocity potential; includes data sources like Crossbeam, customer surveys, and G2 category neighbors Covers four campaign types: content partnerships (blog posts, ebooks, research reports), webinars and events, product integrations, and community collaborations, each with effort and best-use guidance Includes cold outreach templates, call preparation checklists, and a simple co-marketing agreement outline covering lead ownership, promotion commitments, timeline, and success metrics Provides brainstorming prompts for discovering combined value propositions and shared audience moments between partners
Install the CLI. Run your first Skill in 30 seconds. Scale when you're ready.