Check a gbrain installation after a restart or when services seem broken. It tests key components, repairs some local problems, checks OpenClaw when installed, and records results, with support for custom test scripts.
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Turn incoming SMS, meeting events, and social mentions into cited pages in GBrain, a knowledge store. The workflow extracts people and other entities, updates timelines, sanitizes content, and preserves failed payloads for retry.
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Create skills that follow GBrain’s required structure, including workflow steps, expected output, and failure handling. Check for overlapping triggers, update the skill registry and routing guide, and verify the result with conformance tests.
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Check stored knowledge before answering substantive questions about a person, company, project, or other named subject. The skill retrieves the relevant page when needed and follows related links only when relationship details matter to the response.
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Turn a feature into an agent skill or improve an existing one. Define purpose-specific quality criteria, review outputs with models from three providers, then add tests and check that user requests reach the intended skill.
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Adapt a knowledge collection's schema, the rules defining page types and relationships. Review untyped pages, propose new types, update classification settings, and apply those types to existing pages after previewing the changes and checking consistency.
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Process large email, document, and transcript archives by routing items to AI models according to their importance. Rule-based privacy checks run before model calls, while extracted information becomes linked knowledge pages with progress checkpoints.
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After explicit opt-in, captures original ideas in the user's exact words and identifies people and companies mentioned in conversations. Stores them in linked knowledge pages with sources, dated facts, and a brief capture log.
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Looks up a person's identity, role, and relationship before asking the user for clarification. Searches stored knowledge and connected records, then the web, updates incomplete pages, and asks a specific question with a hypothesis when evidence remains inconclusive.
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Save reports with timestamps and categories, then retrieve the latest version using familiar keywords. Before delivery, check that links point directly to the relevant content and flag actionable items that lack a link.
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Use Mars as a voice partner for reflecting on meaning, identity, and recurring patterns, or demonstrating a personal AI to others. It adapts between reflective conversation and demonstrations that search stored knowledge and summarize shared links.
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Add GBrain memory to an existing agent or connect a hosted brain while preserving current instructions and identity. Start with storage and keyword search that need no API key, then verify saving, retrieval, and recall across conversations.
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Connect to an English-speaking voice assistant for quick checks of calendars, tasks, recent conversations, and stored knowledge. Venus gives short, answer-first spoken responses and can start calls with context from a selected topic.
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Validates skill files and registration consistency, then checks project tests and system health. Compares failures with recent changes to distinguish regressions, outdated tests, intermittent failures, and infrastructure issues, producing a report that tracks results over time.
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Improve an existing skill’s instructions using benchmark tasks that measure its output. Generate starter tasks, preview costs, and keep version history, with validation checks deciding whether proposed edits can replace the current instructions.
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Save voice notes as organized knowledge pages while preserving the speaker's exact wording, including hesitations. Store the original audio, file the note by subject, add separate analysis, and link mentions to relevant person and company pages.
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Make your local gbrain accessible to other devices and cloud agents through MCP, a connection interface for AI tools. Set up Tailscale access, assign limited permissions to each client, configure authentication, and verify connections.
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Answer questions from saved gbrain knowledge using keyword, meaning-based, and relationship searches. The skill combines relevant evidence with page citations and highlights missing information, conflicting sources, or potentially outdated results.
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Choose where new GBrain pages belong by their main subject rather than file format or source. Follow a filing decision tree, check existing pages, and receive a suggested path with a clear reason for the placement.
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Review an agent’s role, communication style, user profile, and boundaries through an interview. It records the user’s exact answers in a shared store, then regenerates the relevant identity files after the user reviews and confirms those answers.
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Learn how to author a third-party gbrain skillpack through a reference example. It explains required files, ten validation criteria, tests, and evaluation coverage, helping authors understand what to check before packaging and publishing.
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Research a topic from multiple angles, preserve sources according to your privacy preferences, and summarize each one. Combine the evidence into a self-contained reference page, including limitations and counterarguments, with options to deepen the research later.
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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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Recommend where new gbrain pages belong using the active schema pack, a configuration defining page types and storage paths. It also checks existing pages for missing or undeclared types and highlights cases requiring a classification decision.
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