Explore skills

Signs of taste in web UI. Use when building or reviewing any user-facing web interface — dashboards, SaaS apps, marketing sites, internal tools. Covers interaction speed, navigation depth, visual restraint, copy quality, and the small details that separate polished products from rough ones.

分析减肥数据、计算代谢率、追踪能量缺口、管理减肥阶段

Protocols and best practices for western blot quantification and analysis including band detection, normalization, and statistical methods.

Azure FinOps reservation analysis, cost validation, waste discovery, and executive reporting. USE WHEN user says 'validate costs', 'check reservations', 'find waste', 'orphaned resources', 'reservation coverage', 'savings analysis', 'draft response for', 'cost analysis', 'are these reservations', 'reservation gaps', OR any Azure cost optimization request.

Stage, commit, and push changes to the current branch. Use when asked to commit, push, or create a commit for the current task.

Pack entire codebases into AI-friendly files for LLM analysis. Use when consolidating code for AI review, generating codebase summaries, or preparing context for ChatGPT, Claude, or other AI tools.

Analyze and reclaim macOS disk space through intelligent cleanup recommendations. This skill should be used when users report disk space issues, need to clean up their Mac, or want to understand what's consuming storage. Focus on safe, interactive analysis with user confirmation before any deletions.

Merge the current feature branch into main and (optionally) clean up the branch and worktree. Prefers fast-forward (--ff-only) for linear history; falls back to a merge commit (--no-ff) when the branch has diverged or the user wants the merge commit preserved. Interactive cleanup at the end. USE WHEN asked to "merge to main", "merge and cleanup", "integrate the feature branch", or "finish this bra

Complete "topic notebook build" workflow for Google NotebookLM — deep web research, sequential source loading (with known-failing domain skips), full Studio artifact generation, and curated chat-prompt library. Use this skill whenever the user wants to create a new NotebookLM notebook on a topic, build a full research notebook from scratch, generate a "{topic} :: docs" notebook, compile sources fr

Create and manage Power BI semantic model structure using pbi-cli -- tables, columns, measures, relationships, hierarchies, calculation groups, and date/calendar tables. Invoke this skill whenever the user says "create table", "add measure", "add column", "create relationship", "date table", "calendar table", "star schema", "mark as date table", "add hierarchy", "calculation group", or any model-b

Read an existing research outline and fan out independent background agents to deeply research each item, producing one structured JSON per item against the shared field schema. Resumable, batched, with output disabled per agent (each agent has its explicit output file). Use when `outline.yaml` + `fields.yaml` from `/research-outline` are in place and you want to parallelise the per-item investiga

Summarise a completed deep-research run into a single markdown report — full coverage of every defined field, automatic skipping of uncertain values, and a navigable table of contents with user-chosen summary columns. Generates a fresh `generate_report.py` per run (against a stable spec) and executes it. Use after `/research-deep` finishes when you want a readable artifact for sharing, archiving,