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Main Gatorbots FRC orchestrator policy for deterministic worker routing and honest answer modes.

skill_id: skill-quality-review

GitHub-based system design and code review agent.

Write a Twitter/X post or thread based on research findings or a given topic. Use this skill when asked to create tweets, X posts, or social media threads.

Performs a final quality pass fixing alignment, spacing, consistency, and micro-detail issues before shipping. Use when the user mentions polish, finishing touches, pre-launch review, something looks off, or wants to go from good to great.

Tracks API spending across Anthropic, OpenAI, and Google keys with SQLite storage and daily Telegram digests

Define, update, and review design system components used across page specifications.

Assess whether a deprecated CLI tool should be used or rejected. Maintains the deprecation registry, enforces migration paths to canonical alternatives, and evaluates exception criteria.

Top-level workflow loops that chain multiple personas autonomously. Use *fix, *review, *impl, *qa, or *plan sprint instead of manually invoking each persona in sequence.

Author-side self-review of code changes before requesting PR review. Use when the author wants to assess blast radius, convention compliance, and merge readiness of their own diff.

Multi-LLM parallel code review with specialized agent personas.

Lazily extract referenced files for bundled skills so large prompts stay offline until needed.

Run SkillTool slash commands inside a forked sub-agent so the skill has isolated budget, telemetry, and lifecycle.

Normalize transport failures into one retry policy so streaming bridges, sockets, and remote clients fail predictably instead of improvising recovery.

> Lightweight orchestrator — dispatches isolated phase-agents, tracks state, chains artifacts between phases. Delegates all planning/execution/verification/review to dedicated persona agents.

Use when working with GitHub PRs, issues, workflows, or CI/CD - automates GitHub operations from terminal

Remove assistant messages that reference tools without recorded results before feeding the history back into runAgent.

Define a narrow explicit set of commands that stay available in remote mode because they only affect local UI state, then reuse that set at startup and after handshake refinement.

> Aesthetic direction workflow. Capture design intent, generate DESIGN.md with anti-patterns and platform notes, review components against aesthetic guidelines, and enforce design constraints at confi

> Detect documentation that has drifted from code. Find stale docs before they mislead developers and AI agents.

Complete codebase audit combining code review, Prisma query optimization, and TypeScript analysis with intelligent routing. Use when asked for a full project review, complete codebase audit, or comprehensive quality check of a full-stack application.

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Extracts clinical data from prior authorization requests, validates ICD-10 diagnosis codes via MCP, notes CPT/HCPCS procedure codes (format validation handled by orchestrator pre-flight), searches supporting literature via PubMed and clinical trials, and structures a clinical narrative with per-field confidence scoring.

Spoke engineering conventions for implementation work including coding, testing, technical debt, design handoffs, and repo orientation. Use when actively building or reviewing code and you need developer guidance with platform guardrails.

Elite OCA (Odoo Community Association) development and review standards. Use for forking, module scaffolding, PR management, and peer reviews.

> Lightweight pre-commit quality gate — mechanical checks first, AI review second. Fast feedback before code leaves your machine.

Create and manage multi-agent build packets. Use when you need parallel agent lanes, separate handoff briefs, completion evidence, a master log, or an archive/review workflow for another project.

Decomposes a specification document into ordered, vertical-slice implementation task files in .ai/tasks/. Invoke with /task-planner.

Implement code changes according to a written specification.

Parallel code review using both review-pr and codex-cli-review. Spawns two independent subagents, collects findings, outputs side-by-side reports with consolidated conclusion. Triggers: dual review, double review, full review, review with codex. Not for: single-tool review (use /review-pr or /codex-cli-review), pre-landing diff review (use /review).

Harden Carni-mvp CI with governance gates, secret scanning, TruffleHog-style checks, deterministic validation, and release discipline for protected delivery paths.

Load when the user is writing, reviewing, or debugging Pulumi TypeScript/Python programs; asks about Output<T> or apply() usage; wants to create ComponentResource classes; needs to refactor resources without destroying them (aliases); is setting up secrets or config; or is configuring a pulumi preview/up CI workflow. Also load for questions about resource dependency order, parent/child resource relationships, or pulumi.interpolate.

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'Runs the expansion analyzer to identify gaps, missing capabilities, undocumented decisions, and improvement opportunities in the codebase. Produces a ranked list of suggestions with rationale, impact scores, and effort estimates. Never creates tasks in analysis mode — all suggestions require explicit human approval. Use --save to persist suggestions to disk for later review.'

Build and review Taiwan stock day-trading plans, pre-market checklists, intraday entry/exit rules, day-risk controls, and `quantitative-trading-decision-system` workflow checks. Use when the user asks about 台股當沖 planning, 盤前準備, 盤中補充標的, VWAP/量能/大盤條件, 停損停利, force-exit timing, or debugging the `當沖` project. Do not use for long-term investing, pure財報研究, or classic波段 setups unless the user explicitly wants an intraday adaptation.

Guide for creating well-structured conventional commits. Use when creating git commits, drafting commit messages, or reviewing commit message quality.

UI/UX design systems, Figma workflows, accessibility checklists, browser-based visual audit with automated screenshots, component specification patterns, and design-to-code handoff procedures. Use when designing interfaces, creating design systems, auditing accessibility, reviewing existing UI via browser screenshots, specifying components, or preparing design handoff for developers.

Development conventions and architecture guide for the OpenClaw CLI CLI repository.

Automatic validation for 7-circle sacred thinking flows with EMBEDDED thinking tools. Reviews sequential, tractatus, and debug thinking sessions for quality, completeness, and logical coherence. Auto-generates mermaid diagrams for visualization.

Complete academic research skill suite covering the full pipeline: paper reading (read/explain papers with storytelling), idea generation (brainstorm research directions), experiment design (plan experiments, ablation, baselines), proof writing (mathematical proofs, LaTeX theorems), paper writing (draft to camera-ready for top venues like NeurIPS/ICLR/ACL), paper review (structured 4-step review with scoring), and professor fit analysis (evaluate advisors, cold emails, interview strategy). Trigger keywords: read paper, brainstorm, experiment design, ablation, baseline, prove, theorem, derivation, write paper, improve my paper, review, reviewer feedback, professor fit, advisor selection, cold email, application strategy, LaTeX, research, NeurIPS, ICLR, ACL, arXiv.

Umbrella skill for building, reviewing, designing, porting, and migrating Avalonia applications with modern XAML/C# patterns on Avalonia 11.3.12. Use when the request is broad Avalonia work or when another specialist skill has not yet been selected; route quickly to focused skills for startup, bindings, styling, controls, layout, rendering, testing, design systems, or HTML/WinForms/WPF/WinUI/Avalonia 12 migration work.

High-rigor scholarship and PhD application preparation coach. Use when someone wants structured application prep, document review, narrative bank management, professor outreach coaching, LoR guidance, or application tracking. Supports quick prep (near deadline) and full-system coaching across STEM, humanities, social sciences, and interdisciplinary programs.

Evidence-based endurance coaching protocol (v11.25). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning workouts, answering training questions, or giving endurance coaching advice. Always read or fetch athlete JSON data before responding to any training question.

Use when docs/solutions/ learnings may be stale — after refactors, migrations, or dependency upgrades, when a retrieved learning feels outdated or contradicts a recently solved problem, when pattern docs no longer reflect current code, or when reviewing docs/solutions/ for accuracy.

Work with hosted Proof documents and Proof SDK-compatible deployments over HTTP. Use when creating, reading, editing, or reviewing shared docs with the agent API or bridge routes.

Execute a skill within the main conversation

Run Clippy with pedantic, nursery, and cargo lints enabled for comprehensive code quality checks.

Use when executing ML experiment plans with subagents - adapts superpowers:subagent-driven-development with 2-level Validation Pyramid (L0 static → L1 runtime), experiment-aware reviews, and conclusion recording