Have a different AI model review code, analysis, or documents against the original skill's stated requirements. Receive evidence-based findings and a comparison of agreement and disagreement, then decide which recommendations to accept.
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Turn exported AI chats and agent session logs into dated, searchable pages in gbrain. Check for missing conversations, extract facts, and trace when a topic first appeared or how an idea developed, with quotes and dated references.
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Create a detailed chapter-by-chapter reading companion from an EPUB or PDF, connecting the book’s ideas to experiences and words saved in your personal knowledge store. The result highlights parallels without prescribing actions.
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Build a workflow for importing large collections of audio, email, documents, or chats into knowledge pages. Test varied samples first, track progress in a persistent JSON file, and verify outputs before marking work complete.
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Collect public posts across a blog, newsletter, or feed archive and save clean Markdown pages for each article. The workflow avoids duplicates, supports resumed runs, repairs empty results, and hands articles to a separate enrichment skill.
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Present clear choices when a task needs a human decision, then pause execution until the user replies. This reusable interaction pattern supports filing decisions, priority selection, and confirmation before destructive actions, with an option to decline.
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Restructure raw article text stored in gbrain into summaries, exact quotes, key insights, and links to related pages. Preserve the original text and connect the article's significance to projects and interests already recorded in gbrain.
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Explore old files and email archives to rediscover personal writing, ideas, and meaningful conversations. Review selected items one at a time, save worthwhile material as organized notes, and track progress within explicitly permitted folders.
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Check research claims cited in books, articles, or conversations by tracing the original paper, methods, underlying data, and independent replication. Save a sourced assessment explaining whether the claim holds up and what remains uncertain.
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Move notes and structured data from Obsidian, Notion, and other supported sources into GBrain. Preserve the originals, map fields and cross-references, and check imported pages, links, and content after migration.
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Manage recurring jobs with staggered schedules, collision checks, and quiet hours that hold notifications until morning contact. The workflow checks for duplicate side effects on reruns and saves dated reports of job results.
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Manage GBrain client registrations, permissions, and OAuth connections, a method for authorizing access. The skill separates server owner administration from ordinary client access and guides token invalidation, revocation, and connection verification.
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Compare saved knowledge with current web sources using Perplexity. This skill produces a cited research page that separates new developments, supporting evidence, and contradictions, with suggested updates to stored information about people, companies, or deals.
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Manage shell commands and AI agent tasks through a shared gbrain job queue. Track progress, steer agents, pause or resume work, and coordinate parallel tasks, with guidance for long operations, completion reporting, and reusable stage checkpoints.
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Turn meeting transcripts into structured GBrain pages with decisions, assigned tasks, and verified quotes. Resolve speakers using evidence, split recordings containing separate meetings, and update related people and companies with links and dated meeting context.
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Turn videos, audio, PDFs, books, screenshots, and GitHub repositories into knowledge pages with summaries and highlights. Preserve original files, extract people and companies, and connect the material to their pages and timelines for later reference.
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Investigate slow jobs, stale data, and timeout alerts by timing the specific operation and comparing monitoring thresholds. Produce an evidence-based verdict that distinguishes insufficient time, stalled work, and false alerts before proposing changes.
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Audit a gbrain knowledge base for outdated pages, broken or missing links, inconsistent tags, and missing citations. Get issue counts and specific repair actions, with additional checks for search quality and maintenance status.
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Route articles, meeting notes, videos, documents, and conversations to specialized workflows for saving in GBrain. Preserve sources, add citations, and update related people, companies, concepts, and timelines with links back to the saved material.
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Save shared articles, posts, and ideas to GBrain with analysis connected to existing knowledge and active projects. Preserve source material, credit authors, cite factual claims, and link related pages while updating existing entries for duplicate URLs.
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Keep gbrain current by checking available updates, summarizing release changes, and applying or deferring upgrades according to configured preferences. Migration instructions take priority when a release requires an operator to supervise the update.
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Check your gbrain setup and receive prioritized suggestions for overdue updates, pending migrations, stalled jobs, and other maintenance issues. Findings include repair commands, while any fixes require your approval.
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Reduce the size of AGENTS.md or RESOLVER.md by grouping skills into functional areas. Each area keeps a list of its sub-skills, helping the agent find the appropriate skill through a two-level routing structure.
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Check YAML frontmatter, the metadata at the top of knowledge pages, for formatting and identity errors. Explain why gbrain holds files during sync, preview proposed changes, and repair supported problems after approval.
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