Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/xenitv1/antigravity-workflows/react-patternsnpx skills add xenitV1/Antigravity-Workflows --skill react-patternsgit clone --depth 1 https://github.com/xenitV1/Antigravity-WorkflowsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00021 | $0.00885 |
| Opus 5 | $0.00010 | $0.00443 |
| Sonnet 5 | $0.00004 | $0.00177 |
| Haiku 4.5 | $0.00002 | $0.00089 |
Grade A, and why
react-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- react-patterns — 97% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Patterns
Principles for building production-ready React applications.
1. Component Design Principles
Component Types
| Type | Use | State |
|---|---|---|
| Server | Data fetching, static | None |
| Client | Interactivity | useState, effects |
| Presentational | UI display | Props only |
| Container | Logic/state | Heavy state |
Design Rules
- One responsibility per component
- Props down, events up
- Composition over inheritance
- Prefer small, focused components
2. Hook Patterns
When to Extract Hooks
| Pattern | Extract When |
|---|---|
| useLocalStorage | Same storage logic needed |
| useDebounce | Multiple debounced values |
| useFetch | Repeated fetch patterns |
| useForm | Complex form state |
Hook Rules
- Hooks at top level only
- Same order every render
- Custom hooks start with "use"
- Clean up effects on unmount
3. State Management Selection
| Complexity | Solution |
|---|---|
| Simple | useState, useReducer |
| Shared local | Context |
| Server state | React Query, SWR |
| Complex global | Zustand, Redux Toolkit |
State Placement
| Scope | Where |
|---|---|
| Single component | useState |
| Parent-child | Lift state up |
| Subtree | Context |
| App-wide | Global store |
4. React 19 Patterns
New Hooks
| Hook | Purpose |
|---|---|
| useActionState | Form submission state |
| useOptimistic | Optimistic UI updates |
| use | Read resources in render |
Compiler Benefits
- Automatic memoization
- Less manual useMemo/useCallback
- Focus on pure components
5. Composition Patterns
Compound Components
- Parent provides context
- Children consume context
- Flexible slot-based composition
- Example: Tabs, Accordion, Dropdown
Render Props vs Hooks
| Use Case | Prefer |
|---|---|
| Reusable logic | Custom hook |
| Render flexibility | Render props |
| Cross-cutting | Higher-order component |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 199 lines · 21 tokens per session scan A b10579e408d1
react-patterns is a skill published in the GitHub repository xenitV1/Antigravity-Workflows (130 stars, last pushed 7mo ago), licensed MIT. It adds 21 tokens to every session and 885 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.