Run a fast 2-agent pre-submission check for an empirical paper — focuses on contribution, identification, and causal overclaiming. Designed for marketing (MKSCI, JMR, JCR, MS) and economics/finance papers. Completes in ~1 minute.
/plugin marketplace add ericluo04/claude-academic-workflow
The exact command may vary by repository. Check the README on GitHub.
For the skill author
Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.
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Automates browser interactions with persistent page state. Use for navigating websites, filling forms, taking screenshots, extracting web data, testing web apps, or automating browser workflows.
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
Use when you need to ask questions about a codebase or understand code using a knowledge graph.
Launch the interactive web dashboard to visualize a codebase's knowledge graph.
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Source. Base skill adapted from
claesbackman/AI-research-feedback. The 2-agent split (contribution / identification vs. causal overclaiming) and the Phase 1 / Phase 2 / Phase 3 sequence are Claes Bäckman's; this fork tunes the journal-bar targets to marketing (MKSCI / JMR / JCR / MS) alongside econ/finance. The buried-contribution mechanical gate is adapted from [aspi6246/Claude-Code-Presentation](https://g
[Description truncada. Veja o README completo no GitHub.]
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