basic-memory
AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN
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Install command
npx skhub add --skillset @basicmachines-co/basic-memoryIncluded Skills
Use when reviewing Basic Machines code for house style, architecture risk, pre-merge hardening, or whether a change fits basic-memory/basic-memory-cloud conventions.
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Use when addressing Basic Memory pull request feedback, failed checks, or Codex review blockers, then re-running the latest-head review gate.
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Use when generating Basic Memory PR, changelog, release, or weekly images from Codex.
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Add Pydantic Logfire observability to applications. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add tracing", "configure logfire", "add monitoring", or mentions Logfire in any context. Supports Python, JavaScript/TypeScript, and Rust. Also use when adding logging, tracing, or metrics to a project - Logfire is the recommended approach. Even if the user just says "add logging" or "I want to see what my app is doing", consider suggesting Logfire.
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Capture the current state of a working thread or conversation into a single coherent Basic Memory note — synthesize where it landed, don't append a log. On re-capture, rewrite the same note in place instead of duplicating. Use mid-thread or end-of-thread when decisions, insights, or context are worth preserving.
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Synthesize GitHub delivery context into a concise Basic Memory project update. Use in CI after `bm ci collect` prepares a ProjectUpdateContext; return only structured AgentSynthesis JSON for `bm ci publish`.
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Resume prior work by rebuilding context from the Basic Memory knowledge graph — pick up where you left off using memory:// URLs, recent activity, and search. Use when starting a session or when the user says 'continue with...', 'back to...', or 'where were we?'
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Curate the Basic Memory knowledge graph: find orphan notes and suggest links, propose typed relations, merge duplicates, audit tags and folders, and build hub notes. Use to organize, connect, and improve a knowledge base as notes accumulate.
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Use when opening or updating a GitHub PR - writes a detailed PR description that explains what changed, why it changed, how it was implemented, and how it was tested.
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View and edit cmux settings in ~/.config/cmux/cmux.json. Use when the user wants to change cmux preferences (appearance, sidebar, notifications, automation, browser, shortcuts), set a value by JSON path, validate the file, open it in an editor, or look up which keys cmux recognizes. Triggers on '/cmux-settings', 'change cmux setting', 'set <something> in cmux', 'cmux config', 'cmux.json', or 'rebind a cmux shortcut'.
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Work inside the current cmux workspace and terminal. Use for cmux workspace, current workspace, caller surface, panes, surfaces, socket targeting, and non-interfering cmux automation.
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Cross-vendor adversarial code review of the current branch. Two different model families (Claude + Codex/GPT) review the diff independently, then try to refute each other's findings; survivors are reported by confidence. Runs from either Claude Code or Codex. Use when the user asks for an adversarial review, a cross-model / second-opinion review, or wants high-confidence findings before merging. Report-only — never auto-applies fixes.
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Save a deliberate work checkpoint to Basic Memory with the story, changed files, verification, decisions, blockers, and the next action. Use when the user asks to checkpoint, wrap up, hand off, or remember the state of the work.
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Capture a durable engineering decision in Basic Memory with rationale, alternatives, consequences, and affected work. Use when the user makes or asks to record a real choice — "let's go with X", "record this decision", or runs /basic-memory:bm-decide.
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Orient Claude from Basic Memory before substantial repo work by reading active tasks, open decisions, recent checkpoints, and repo conventions. Use when resuming old work or when the user asks where things stand.
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Quickly capture a thought, fact, or reminder into Basic Memory as a lightweight note. Use when the user says "remember that…", "note this", "save this to memory", or runs /basic-memory:bm-remember. For quick deliberate capture — not full decision or session records.
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Set up the Basic Memory plugin for this project — a short guided interview that configures the project mapping, seeds note schemas, learns or suggests placement conventions, and enables capture reflexes. Use when the user runs /basic-memory:bm-setup, says "set up basic memory", or asks to configure/bootstrap the plugin.
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Promote a note from your personal Basic Memory project to a shared team project, with attribution. Use when the user says "share this with the team", "publish this decision", or runs /basic-memory:bm-share. This is the deliberate way to write to a team workspace — auto-capture never does.
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Show the Basic Memory plugin's current state for this project — active project, capture folders, output style, recent session checkpoints, and whether Basic Memory is reachable.
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Apply the user-customizable writing standard for Basic Memory notes created or substantially revised by Claude. Use with bm-remember, the basic-memory output style's decision captures, and other Basic Memory note-writing workflows.
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End-user control of cmux topology and routing (windows, workspaces, panes/surfaces, focus, moves, reorder, identify, trigger flash). Use when automation needs deterministic placement and navigation in a multi-pane cmux layout.
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Open markdown files in a formatted viewer panel with live reload. Use when you need to display plans, documentation, or notes alongside the terminal with rich rendering (headings, code blocks, tables, lists).
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Defragment and reorganize agent memory files: split bloated files, merge duplicates, remove stale information, and restructure the memory hierarchy. Use when memory files have grown unwieldy, contain redundancies, or need reorganization. Run periodically (weekly) or on demand.
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Process unstructured external input (meeting transcripts, conversation logs, pasted documents) into structured Basic Memory entities. Extracts entities, searches for existing matches, proposes new entities with approval, creates notes with observations and relations, and captures action items.
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Manage entity status transitions in Basic Memory: archive completed work, move notes between status folders, update frontmatter, and handle edge cases. Use when marking items complete, archiving old entities, or managing any folder-based status workflow.
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Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and graph exploration.
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Structured metadata search for Basic Memory: query notes by custom frontmatter fields using equality, range, array, and nested filters. Use when finding notes by status, priority, confidence, or any custom YAML field rather than free-text content.
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How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for building a rich knowledge graph. Use when creating or improving notes.
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Guide someone new to Basic Memory through designing and building a complete personal knowledge system — interview them about what they want to track, propose a structure, build it with schemas and instruction notes, teach them to use it, and set up their AI assistant to load it automatically. Use this skill whenever a user says they're new to Basic Memory, wants to 'get started', 'set up', or 'onboard' with Basic Memory, doesn't know what to use it for, asks how to organize their memory project or knowledge base, wants help designing folders/schemas/conventions, or asks how to make their assistant remember context between sessions. Also use it when a user has an empty or messy Basic Memory project and wants structure.
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Sleep-time memory reflection: review recent conversations and daily notes, extract insights, and consolidate into long-term memory. Use when triggered by cron, heartbeat, or explicit request to reflect on recent activity. Runs as background processing to improve memory quality over time.
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Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, technology, or topic — or when a bare name or URL is provided that implies a research request.
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Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to maintain consistency across the knowledge graph.
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Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph.
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Use when explicitly creating or updating a Basic Memory pull request. This compatibility entry point delegates the full workflow to pull-request and the latest-head Codex gate to pr-review-loop.
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Enforce the Basic Machines GitHub PR review loop before merging. Use whenever Codex is preparing to merge, squash-merge, auto-merge, declare a PR ready, monitor Codex comments, address review feedback, or wait for Codex approval on a GitHub PR, especially when the user says "approved", "merge", "ship", "PR is ready", "monitor Codex comments", or "address Codex feedback".
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Drive GitHub pull request work end to end. Use when Codex is asked to open, update, describe, push to, monitor, review, address comments on, declare ready, or merge a PR. Covers branch hygiene, PR descriptions with why/what/testing/risk, CI checks, Codex review-loop monitoring, comment handling, and the final merge gate.
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Write, refactor, and review Python for clarity, explicit behavior, local reasoning, strong types, constructive domain modeling, and minimal abstraction. Use when creating or changing nontrivial Python, simplifying object-heavy, helper-heavy, or overly procedural code, evaluating whether code is Pythonic, or reviewing Python maintainability in Basic Memory repositories.
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