Official OpenAI skills for PDF, Word, PowerPoint, and Excel document processing.
Use when the task involves reading, creating, or editing `.docx` documents, especially when formatting or layout fidelity matters; prefer `python-docx` plus the bundled `scripts/render_docx.py` for visual checks.
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.
Create and edit presentation slide decks (`.pptx`) with PptxGenJS, bundled layout helpers, and render/validation utilities. Use when tasks involve building a new PowerPoint deck, recreating slides from screenshots/PDFs/reference decks, modifying slide content while preserving editable output, adding charts/diagrams/visuals, or diagnosing layout issues such as overflow, overlaps, and font substitution.
Use when tasks involve creating, editing, analyzing, or formatting spreadsheets (`.xlsx`, `.csv`, `.tsv`) with formula-aware workflows, cached recalculation, and visual review.
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My daily battle-tested Claude Code/Desktop and OpenAI Codex setup with skills, commands, hooks, subagents and MCP servers.
"They make wrong assumptions on your behalf and just run along with them without checking. They don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs. They really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves." -- Andrej Karpathy
This repo's guidelines are structured to fix exactly these pitfalls.
Plugins add skills, commands, and automations to your AI coding tool. Install only what you need from the plugin list below.
Prerequisites: See INSTALL.md for setup requirements.
# Add marketplace (one time)
/plugin marketplace add fcakyon/claude-codex-settings
# Install any plugin by name
/plugin install < plugin-name > @claude-settings
Codex installs plugins from a local marketplace rather than a direct shell install command.
.agents/plugins/marketplace.json./plugins.Claude & Codex Settings and install the plugins you want.This README only covers installing this marketplace. For generic Codex marketplace examples and maintainer docs, see CLAUDE.md.
gemini extensions install --path ./plugins/<plugin-name>
cursor plugin install < plugin-name > @claude-settings
Create symlinks for cross-tool compatibility:
ln -sfn CLAUDE.md AGENTS.md
ln -sfn CLAUDE.md GEMINI.md
| Claude Code | Codex CLI | Gemini CLI |
|---|---|---|
/plugin install intelligent-compact@claude-settings | Open /plugins -> Claude & Codex Settings -> install intelligent-compact | gemini extensions install --path ./plugins/intelligent-compact |
When Claude Code auto-summarizes a long session, the default summary routinely drops the highest-signal facts. This plugin tells the summarizer to keep them:
Runs on every /compact (manual) and every auto compaction. Claude Code only; Codex, Cursor, and Gemini CLI don't yet expose a comparable summary hook.
Hooks:
precompact_priorities.sh - Priority-preservation instructions for the compaction summarizernpx claudepluginhub haroldhuanrongliu/claude-codex-settings --plugin openai-office-skillsComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Production-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. 4 skills, 27 modes, 39-agent ensemble, v3.7.3 + v3.8 L3 claim-faithfulness gate, v3.9.0 cross-index triangulation, v3.10 triangulation policy layer, v3.11 deterministic citation verification gate (#182).
Spec-first workflow: integrates OpenSpec planning engine + Superpowers execution discipline. 9 collaborative skills with embedded TDD, SDD, code review, debugging, and delta spec sync.
Matt Pocock's agent skills for real engineering — grilling, spec/ticket flows, TDD, code review, domain modelling and more. Plug-and-play, not vibe coding.
Turn any domain folder of skills into a bounded agentic loop: a manifest builder inventories a domain's skills/tools/checks, a goal compiler turns a goal into a verifiable task plan (refusing vague goals with forcing questions), and a JSON-backed loop controller drives execute->verify->close with retry caps, controller-run verification (no verification theater), human escalation on exhausted budgets, and a close gate that refuses while any task is unverified. Ships 3 stdlib Python tools, 18 committed per-domain harness manifests + JSON schema, 3 references citing the 2024-2026 agent-harness canon, harness-runner agent + /cs:harness command. Use when an agent should pick up a goal and drive it to a verified close across a domain.
Claude plugin for planning, building, and debugging Zoom integrations across REST APIs, SDKs, webhooks, bots, and MCP workflows