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Found 196 Skills
Build world-class kanban board drag-and-drop with @dnd-kit. Linear-quality UX with proper collision detection, smooth animations, and visual feedback
Parallel DAG-plan implementation skill. Reads a v-planning plan directory (root.md + step-<n>.md files), topologically schedules ready steps, and fans them out as parallel sub-agents. Use whenever the user invokes /v-implement, points at a plan directory produced by /v-plan, or asks to "run the parallel plan", "implement the DAG", or "fan out the steps" — even without those exact words. For linear plans (single .md file), use `implementing` instead.
Vertical / parallel implementation planning skill. Creates DAG-structured plan directories where each step is an independent, QA-able vertical slice that sub-agents can pick up and implement in parallel. Use whenever the user wants a plan that fans out (multiple independent features), invokes /v-plan, or asks for a "parallel plan", "DAG plan", "vertical plan", or "plan that can be parallelized" — even if they don't say those exact words. Prefer the linear `planning` skill for strictly sequential work.
Git best practices for commit messages and branch workflow. Use when: - Writing, reviewing, or advising on a git commit message - Advising on branching strategy, merging, or rebasing - Setting up or explaining a team Git workflow - Preparing or reviewing a pull request - Resolving or advising how to avoid merge conflicts - Any task involving git history, linear history, or PR hygiene
Guide for implementing Syncfusion Gauge controls in Windows Forms applications. Use when creating data visualization gauges such as RadialGauge for circular displays (speedometers, temperature dials), LinearGauge for horizontal/vertical bars and progress indicators, or DigitalGauge for LED-style alphanumeric displays. Covers dashboard gauges, instrument panels, real-time monitoring, and KPI displays with needles, ranges, and scales.
Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.
Turn the working tree into logical, atomic Conventional Commits — classify uncommitted files as in-scope vs out-of-scope against the branch's merge base, show a staging plan, and create one commit per coherent unit (type + optional scope + British-English body; `!` / `BREAKING CHANGE:` for breaking changes). Never `git add -A`; files that look like they belong to another branch/worktree are never staged silently. Use when asked to commit uncommitted work, tidy WIP into atomic commits, or as the commit step inside a ship flow (e.g. `/send-it`). It commits only — no push, PR, changelog, or Linear writeback.
Clean up a Git repository's merged branches and worktrees, then prune filesystem cruft (recursively-empty directories and orphaned node_modules). Use when asked to clean up / tidy / prune merged branches, remove stale or finished worktrees, delete branches whose PRs have already merged (including squash-merges), or sweep empty directories and leftover node_modules. Two-pass merge detection (git ancestry plus merged GitHub PRs), an uncommitted-changes guard on worktrees, an optional Linear "Done" writeback, per-pass confirmation gates, and a --dry-run preview. Protected branches are never touched.
Set up 3D physics in Unity 6: Rigidbody movement and forces, colliders, triggers vs collisions, layer-based collision, raycasts, and joints. Use when adding a Rigidbody, handling OnCollisionEnter/OnTriggerEnter, tuning collision layers, casting rays, or when the user mentions Unity physics, AddForce, isKinematic, or linearVelocity.
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tables. For guided statistical test selection with APA reporting use statistical-analysis.
High-performance Kimi Delta Attention CUDA kernels built on CUTLASS for efficient recurrent state inference
Performs manual testing of Story AC via executable bash scripts saved to tests/manual/. Creates reusable test suites per Story. Worker for ln-510.