Claude Skills by gabrielmoreira

Apply, review, improve, or maintain a repository's Copilot customization with the Ownership-Driven AI Customization Architecture and the latest official GitHub Copilot docs. Use when shaping or auditing a repository's customization map, governance files, supporting docs, and safeguards for drift, health, weak controls, outdated assumptions, or when deciding how a specific customization problem should be handled.

Operate ODA GitHub Issues and the ODA Board consistently. Use when creating, updating, listing, moving, or reclassifying tracked work in GitHub for this repository.

Investigate inconsistent or incorrect behavior with a structured workflow.

Assess likely downstream impact, decide what should be reconciled now versus carried forward explicitly, and keep the repository coherent without sweeping every related surface.

Strategic delegation for multi-step coding, research, or verification work. Use when a task can be split into parent reasoning plus focused sub-agent execution through agent_open, agent_eval, and agent_close.

Create, edit, inspect, or convert Word documents and DOCX deliverables such as memos, reports, letters, templates, and forms.

Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.

Scaffold codewhale local plugin directories and activation notes. Use when the user asks to create, package, or sketch a plugin for codewhale.

Create, edit, inspect, or convert PowerPoint decks and PPTX slide presentations with practical layout and verification steps.

Install, update, trust, or inspect DeepSeek skills from GitHub or local skill folders. Use when the user asks for available skills or wants a community skill installed.

Create, edit, analyze, clean, or convert spreadsheets including XLSX, CSV, TSV, formulas, charts, and tabular reports.

Use when working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks. Provides rules to prevent stale references, unverified plan assumptions, and vague plan output.

Deep audit of a skills directory against the Skill Creator standard. Produces a scored report and phased remediation plan.

Clarify a rough product or engineering idea into a BRD-lite brief (Why) with measurable business value.

Run an AI-assisted PR code review using multi-layer lenses with confidence scoring.

Review an entire codebase against framework best practices and generate a prioritized improvement plan.

Anti-AI-slop design skill for greenfield pages, audits, redesigns, and design extraction from URLs or screenshots. Use when the user asks to build a new app or landing page, wants to redesign something, invokes Hallmark by name, or uses audit/redesign/study.

Configure runtime environment variables for Angular prerender/static deployments, especially on Azure App Service. Use this skill whenever the user mentions Angular + prerender/static hosting + env vars, runtime-config.js, startup command injection, or stale config values after deploy/restart.

Generate release notes and cards from Azure DevOps TFVC changesets or Git commits. Trigger this skill whenever the user mentions TFVC changesets, Git commits, Azure DevOps work items, 'generate changelog', 'cards.md', or 'release notes'. The skill asks for the Azure DevOps organization name, fetches work items via Azure DevOps APIs (requires $DEVOPS_PAT), analyzes descriptions and discussion, and produces cards.md and changelog.md grouped by Azure DevOps project name.

Structured code review for Azure DevOps pull requests with multi-pass analysis and inline comment posting. Use this skill whenever the user mentions reviewing a PR, code review, pull request, ADO PR, wants feedback posted to DevOps, or asks to look at someone's changes — even if they don't say 'code review' explicitly.

This guide covers the full lifecycle of building, running, and serving a custom OpenBB Workspace application from an extension project scaffolded by `openbb-cookiecutter`. It assumes the project shell already exists (see the `develop_extension` skill for scaffolding instructions).

This guide covers installation, configuration, authentication, tool discovery, prompt management, and client integration for `openbb-mcp-server`.

This is a complete guide for creating a new OpenBB Platform extension from scratch. Follow every phase in order. When the user says "build me an application that does X", use this guide to scaffold, implement, install, and verify the extension.

This guide explains how to call tools, interpret responses, discover capabilities, use prompts, and handle errors when interacting with an OpenBB MCP server.

Greet the user in a distinctive, easy-to-verify format for skill activation demos.

Use the existing Python execution tools as a scratchpad for calculations, data transformation, and quick script-based validation.

Call REST APIs from Python, parse JSON responses, and report the useful fields back to the user.

Dr. Claw workspace skill for project lookup, session inspection, TaskMaster progress, OpenClaw structured schema, and event-driven reporting

Dr. Claw skill for OpenClaw project discovery, idea intake, waiting-session triage, structured session control, event-driven notifications, and mobile reporting through the local drclaw CLI.

Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.

Autonomously improve a generated paper via GPT-5.4 xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.

Autonomous multi-round research review loop. Repeatedly reviews via Codex MCP, implements fixes, and re-reviews until positive assessment or max rounds reached. Use when user says "auto review loop", "review until it passes", or wants autonomous iterative improvement.

Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN, Wi-Fi, cellular, transport protocols, congestion control, routing, scheduling, MAC/PHY, rate adaptation, channel estimation, beamforming, or communication-system research and the user wants papers, related work, a survey, or a landscape summary. Search Zotero, Obsidian, and local paper folders first when available, then searc...

Mandatory pre-flight compute resource check before running experiments. Detects whether local/remote GPU or compute resources are actually available. If resources are unavailable, STOPS the experiment pipeline immediately and reports to the user — preventing the model from hallucinating fake experiment results. Use when: about to run experiments, deploy training, or any GPU-intensive task.

Autonomous design space exploration loop for computer architecture and EDA. Runs a program, analyzes results, tunes parameters, and iterates until objective is met or timeout. Use when user says \"DSE\", \"design space exploration\", \"sweep parameters\", \"optimize\", \"find best config\", or wants iterative parameter tuning.

Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says \"实现实验\", \"implement experiments\", \"bridge\", \"从计划到跑实验\", \"deploy the plan\", or has an experiment plan ready to execute.

Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `aris-research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.

Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Supports push-only (webhook) and interactive (bidirectional) modes. Use when user says \"发飞书\", \"notify feishu\", or other skills need to send status updates.

Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.

Draft a structured grant proposal from research ideas and literature. Supports KAKENHI (Japan), NSF (US), NSFC (China, including 面上/青年/优青/杰青/海外优青/重点), ERC (EU), DFG (Germany), SNSF (Switzerland), ARC (Australia), NWO (Netherlands), and generic formats. Use when user says \"write grant\", \"grant proposal\", \"申請書\", \"write KAKENHI\", \"科研費\", \"基金申请\", \"写基金\", \"NSF proposal\", or wants to turn research ideas into a funding application.

Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.

Workflow 1: Full idea discovery pipeline. Orchestrates research-lit → idea-creator → novelty-check → research-review to go from a broad research direction to validated, pilot-tested ideas. Use when user says \"找idea全流程\", \"idea discovery pipeline\", \"从零开始找方向\", or wants the complete idea exploration workflow.

ARIS (Auto-claude-code-research-in-sleep) infrastructure setup and configuration. Configures MCP servers for cross-model adversarial review, installs Python tools, and validates environment. Run this first before using any other ARIS skills. Use when: setting up ARIS, configuring review servers, "aris setup", "配置ARIS".

Generate Mermaid diagrams from user requirements. Saves .mmd and .md files to figures/ directory with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.

Analyze ARIS usage logs and propose optimizations to SKILL.md files, reviewer prompts, and workflow defaults. Outer-loop harness optimization inspired by Meta-Harness (Lee et al., 2026). Use when user says \"优化技能\", \"meta optimize\", \"improve skills\", \"分析使用记录\", or wants to optimize ARIS's own harness components based on accumulated experience.

Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.

Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.

Compile LaTeX paper to PDF, fix errors, and verify output. Use when user says \"编译论文\", \"compile paper\", \"build PDF\", \"生成PDF\", or wants to compile LaTeX into a submission-ready PDF.