From logseq-brain
Show a dashboard of all projects in the Claude Brain graph, or graph analytics. Dashboard triggers: "brain status", "show projects", "show brain", "what's in my brain", "project dashboard", "brain overview", "list projects", "summary". Analytics triggers: "brain stats", "graph analytics", "graph activity over time". Don't fire for loads (use brain-load) or saves (use brain-save).
How this skill is triggered — by the user, by Claude, or both
Slash command
/logseq-brain:brain-statusThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Display a quick dashboard of all projects in the Claude Brain graph — status, last activity, current focus, blockers.
Display a quick dashboard of all projects in the Claude Brain graph — status, last activity, current focus, blockers.
Both resolve the graph path first (Prerequisites). Pick the mode from the trigger phrase; if ambiguous, default to Dashboard.
Resolve the graph path per skills/_shared/path-resolution.md.
List all projects. Glob for pages/Projects___*.md in the graph folder. Extract project names.
Read each project page selectively using the section-targeted-read pattern in skills/_shared/section-locator.md. For the dashboard you only need:
status:: and last-updated:: properties (in the property block at offset 0, limit 10)## Current Plan (current focus)## Session Log (when last touched, with any open-questions::)Apply staleness rules. Use skills/_shared/staleness.md to flag stale or abandoned projects.
Read cross-project decisions. Check pages/Decisions.md for entries from the last 30 days.
Read Meta date. Check pages/Meta.md last-updated:: only — don't read the whole file.
Present the dashboard. For each project: name, status, staleness annotation (if any), current focus, open questions/blockers. Then: recent cross-project decisions, total counts.
Write a journey-log entry per skills/_shared/journey-log.md with activity line: viewed dashboard.
Here's your brain status:
**LogseqBrain** (active, last updated <yyyy-MM-dd>)
Currently: <first bullet of Current Plan>
No blockers.
**ChivalricQuest** (active, last updated <yyyy-MM-dd>)
Currently: No active plan yet.
No blockers.
2 projects tracked (2 active). No recent cross-project decisions.
Read-only aggregate view. Writes nothing except the journey-log entry. Stay token-frugal — use skills/_shared/section-locator.md for targeted reads; never full-read project pages.
When counting, exclude template placeholder stubs — the italic markers a fresh brain-init page seeds, e.g. _Project-specific decisions._ under ## Decisions, _Session entries are added by brain-save._ under ## Session Log, and _No active plan yet._ under ## Current Plan. They denote an empty section, so a section that contains only its stub counts as 0, not 1.
Projects. Glob pages/Projects___*.md. Count total. Apply skills/_shared/staleness.md, then collapse its four levels into two buckets for the count: active = fresh + aging, stale = stale + abandoned.
Decisions. Count two distinct figures, because cross-project decisions are intentionally duplicated in both places (so never sum them): (a) cross-project decisions in pages/Decisions.md, and (b) decisions recorded on project pages (in their ## Decisions sections; this includes the project-page copy of any cross-project decision). Break each down by status:: value (e.g. accepted, superseded).
Sessions. For each project page, count real entries under ## Session Log (section-targeted read; skip the placeholder stub). Sum across projects.
Activity (recent window). Glob journals/*.md. For journals dated within the last 30 days (filename yyyy_MM_dd.md), count bullets under ## Activity. Report the total as the recent activity signal.
Present a compact block:
Brain stats:
Projects: <N> (<active> active, <stale> stale)
Decisions: <P> on project pages, <X> cross-project (by status: <accepted> accepted, <superseded> superseded)
Sessions logged: <S>
Activity (last 30 days): <A> entries
Write a journey-log entry per skills/_shared/journey-log.md with activity line: viewed brain stats.
npx claudepluginhub jame581/skillsmith --plugin logseq-brainProvides behavioral guidelines to reduce common LLM coding mistakes, focusing on simplicity, surgical changes, assumption surfacing, and verifiable success criteria.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.