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logseq

@logseq source repo

13 published skills

  1. Logseq DB Graph · logseq
    Use when working with Logseq graphs through the Logseq plugin, especially creating tasks, editing properties, organizing pages or blocks, searching, or capturing notes. Ensures ChatGPT uses Logseq DB graph semantics instead of legacy file-graph markdown conventions.
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  2. Logseq Plugin Sdk · logseq bundle
    Build, debug, or review Logseq plugins with the `@logseq/libs` SDK (TypeScript/JavaScript, iframe/shadow sandboxed). Use when the task involves writing plugin entry code, registering slash/command/UI items, provideUI/provideStyle/provideModel, settings schema, macro renderers, DB-graph properties & tags, Datascript/DSL queries, experimental APIs, theme plugins, or the `logseq/*` CLJS facade generated under this package.
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  3. Logseq CLI · logseq
    Operate the current Logseq command-line interface to inspect or modify graphs, pages, blocks, tasks, tags, and properties; run Datascript queries; show page/block trees; manage graphs; and manage db-worker-node servers. Use when a request involves running `logseq` commands or interpreting CLI output.
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  4. Logseq I18N · logseq
    Logseq i18n workflow for adding, renaming, reviewing, or editing translation keys and user-facing strings. Use when: writing UI code with hardcoded text, adding new user-facing strings, editing translation dict files, reviewing i18n compliance, working with notification/show!, adding translatable UI attributes, or any task involving src/resources/dicts/. Also use when the user mentions i18n, translation, localization, or hardcoded strings.
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  5. Logseq Repl · logseq bundle
    Start and coordinate Logseq development REPL workflows for the Desktop renderer `:app`, Electron main-process `:electron`, and `:db-worker-node` runtimes through one unified workflow.
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  6. Esm Cjs Risk Scan · logseq bundle
    Scan Logseq ClojureScript Node/Electron targets for npm module loading risks, especially ESM-only packages that may fail when loaded through js/require or shadow-cljs require-based shims. Use when changing Electron/main-process dependencies, debugging startup import errors, or auditing packages before dependency upgrades.
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  7. Logseq Answer Machine · logseq bundle
    Answer user questions about the Logseq repository by researching source code, docs, tests, runtime behavior, and local tools. Use when Codex needs to explain how Logseq works, why behavior happens, where logic lives, how CLI/Desktop/Web flows interact, or what evidence supports an answer, without implementing features or fixing bugs.
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  8. Logseq Debug Workflow · logseq
    Debug Logseq bugs with the right runtime, concrete before/after evidence, and end-to-end reproduction steps.
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  9. Logseq CLI Maintenance · logseq
    Improve readability, consistency, and long-term maintainability of Logseq CLI-related code, command flows, and tests.
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  10. Logseq Review Workflow · logseq bundle
    Review Logseq code changes, PRs, patches, commit ranges, or implementation plans through one main-agent orchestration workflow that routes read-only subagents across independent review passes, then deduplicates, validates, and reports findings for the web app, desktop app, and Logseq CLI.
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  11. Logseq Dependency Upgrade · logseq bundle
    Audit, plan, and refresh dependency upgrades for the Logseq repository by scanning every non-gitignored package.json, deps.edn, bb.edn and nbb.edn manifest, checking latest upstream versions, cross-root consistency, lockfile resolution, deprecation, staleness, and OSV vulnerabilities, then generating a batch-ordered upgrade plan and compact JSON artifact.
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  12. Logseq Server Usage Stats · logseq
    Collect, interpret, and troubleshoot db-sync server usage stats (total users/graphs, active users/graphs in N days, created-today metrics) using the `deps/db-sync` scripts and D1 schema. Use when requests involve `show-usage-stats`, server usage reporting, active-entity counting, or Cloudflare D1 cost impact of usage tracking.
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  13. Logseq Review Workflow Eval · logseq bundle
    Compare two revisions of the Logseq logseq-review-workflow skill by running the same review prompt against isolated before and after skill snapshots, collecting both outputs, and producing a structured delta. Use when evaluating whether changes to .agents/skills/logseq-review-workflow improved review quality, coverage, validation rigor, subagent orchestration, or false-positive rate.
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