Show real token usage and estimated savings for the current session. Reads directly from the Claude Code session log — no AI estimation. Triggers on /caveman-stats. Output is injected by the mode-tracker hook; the model itself does not compute the numbers.
Build and query AI-powered knowledge bases from claude-mem observations. Use when users want to create focused "brains" from their observation history, ask questions about past work patterns, or compile expertise on specific topics.
Explain the full logic and process of the current branch end-to-end so someone with no prior knowledge of the task can understand, review, and reproduce it. Scopes the change from the branch diff, traces the flow across every layer it touches (frontend tool/hook/component, Java controller/service/endpoint, Python engine, config, i18n, tests), and produces a self-contained walkthrough document with Mermaid diagrams (sequence/flow/architecture), annotated file map with clickable references, before/after behavior, screenshots where a UI is involved, a "try it locally" section, and edge cases/risks. Use when asked for a feature or branch walkthrough, "explain what this branch does", a design/logic writeup, PR reviewer onboarding, or a hand-off doc. Pass --html to also emit a rendered HTML version; --no-screens to skip screenshots.
Analyse a branch or PR and automatically capture before/after screenshots of every UI surface its changes touch, then pixel-diff the pairs to surface what actually changed and assemble PR-ready before/after montage images. Generic and diff-driven: it derives the capture targets from the diff (changed tools/routes → URLs) instead of hand-listing screens, captures "before" from the base branch and "after" from the head, then keeps only the views that visually differ. Each comparison is auto-cropped to the region that actually changed (the bounding box of differing pixels), falling back to the full page only when the change spans most of it. Use for before/after shots, a visual diff of a branch/PR, "screenshots for the PR description", "show what changed in the UI", or a side-by-side of UI changes. Takes a PR number/URL (resolved via gh) or a branch; defaults to the current branch vs its base. Flags: --scope <selector>, --base <ref|merge-base>, --theme light|dark|both, --all (capture every route, not just changed), --no-autocrop, --pagewide <n>, --threshold <n>.
Full UI investigation of the current branch's feature. Enumerates every view and state (empty, populated, loading, error, each dialog/menu/panel, responsive breakpoints, light + dark + RTL), captures them with the stubbed Playwright harness, assembles a single-image HTML walkthrough with a global light/dark toggle slider, then runs two review passes: visual/consistency (alignment, spacing, professionalism, dark/light parity, contrast, truncation) and UX/ease-of-use (flow, discoverability, affordances, empty/error states, expectations). Use when asked for a UI walkthrough, screenshot review, design or QA pass, "find anywhere to make it easier/better for users", or before merging frontend work. Pass --fix to auto-apply safe frontend fixes and re-capture; --theme to limit themes; --no-rtl to skip RTL.
Lazy senior dev mode for any coding task (write, refactor, fix, review): YAGNI, stdlib first, no unrequested abstractions. Not for non-coding requests.
Agentic end-to-end testing for any project: backend verification via the project CLI, frontend verification via agent-browser (web), and desktop verification via CDP (Electron). Drives the real surface, captures visually confirmed evidence, and publishes a structured report to the LobeHub verify platform. Triggers on 'cli test', 'test with cli', 'verify with cli', 'backend test with cli', 'local test', 'test in electron', 'test desktop', 'manual test', 'test report', or any local end-to-end verification task.
Triage Coverity Scan defects (https://scan.coverity.com) for this project — fetch defect lists, fetch per-defect details, and apply triage decisions (Bug / FalsePositive / Intentional with severity, action, and a comment). Use when the user asks to "review Coverity defects", "triage Coverity findings", "fetch Coverity outstanding", or anything mentioning Coverity Scan, CIDs, or scan.coverity.com.
Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.
Teaches the agent to produce D3 charts and interactive data visualizations. A comprehensive D3.js skill with examples across chart types and techniques giving the agent expert-level knowledge to generate complex, interactive visualizations. Useful for editorial dashboards, reports, data-rich prototypes, and explanatory graphics.