React Native Best Practices
vercel-labs/openreview
A prioritized rule set for React Native and Expo apps covering list performance, animation, navigation, UI patterns, state, rendering, monorepos and configuration.
A skill your agent uses when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
Install Calibrate
$ npx skills add sharpdeveye/maestro --skill calibrate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sharpdeveye/maestro calibrate --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/skills/calibrate .claude/skills/calibrate && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "calibrate" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/calibrate into .claude/skills/calibrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sharpdeveye/maestro/tree/main/source/skills/calibrateType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sharpdeveye/maestro --skill calibrate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sharpdeveye/maestro calibrate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .agents/skills && cp -r skills-src/source/skills/calibrate .agents/skills/calibrate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "calibrate" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/calibrate into .agents/skills/calibrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sharpdeveye/maestro --skill calibrate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sharpdeveye/maestro calibrate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/source/skills/calibrate .cursor/skills/calibrate && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "calibrate" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/calibrate into .cursor/skills/calibrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sharpdeveye/maestro.git --path source/skills/calibrate--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sharpdeveye/maestro --skill calibrate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sharpdeveye/maestro calibrate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/source/skills/calibrate .gemini/skills/calibrate && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "calibrate" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/calibrate into .gemini/skills/calibrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sharpdeveye/maestro calibrateInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sharpdeveye/maestro --skill calibrate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .github/skills && cp -r skills-src/source/skills/calibrate .github/skills/calibrate && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "calibrate" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/calibrate into .github/skills/calibrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sharpdeveye/maestro --skill calibrate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sharpdeveye/maestro calibrate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sharpdeveye/maestro.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/source/skills/calibrate .opencode/skills/calibrate && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "calibrate" agent skill from https://github.com/sharpdeveye/maestro/tree/main/source/skills/calibrate into .opencode/skills/calibrate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "calibrate", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
calibrate- GitHub stars
- 592
- Token cost
- ~782 tokens
- SKILL.md length
- 340 words
- Files
- 1
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
- Works in 5 steps: Identify the standard: What's the most… → List deviations: Find all components… → Prioritize: Fix the most impactful… → …
- Workflow components are inconsistent
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Naming conventions vary
What it does
Calibrate is an agent skill from sharpdeveye/maestro. Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Mobile. The repository describes itself as: Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and… The licence is MIT.
When your agent uses it
- Workflow components are inconsistent
- Naming conventions vary
- A new team members work needs alignment to project standards
Example prompts
- “/calibrate”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Identify the standard: What's the most common pattern in the existing codebase? That's the standard.
- List deviations: Find all components that deviate from the standard.
- Prioritize: Fix the most impactful deviations first (user-facing > internal).
- Apply: Make the changes, ensuring tests still pass.
- Document: Update .maestro.md with the established conventions.
What it can do on your machine
Read from SKILL.md and the folder at commit 00f9115. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Calibrate loads about 782 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 340 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sharpdeveye/maestro at commit 00f9115, republished under its MIT licence (© sharpdeveye). 340 words, ~782 tokens.
Download SKILL.mdSave it as
.claude/skills/calibrate/SKILL.md (or your agent's skills folder).- name
- calibrate
- description
- Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
- argument-hint
- [target area]
- category
- fix
- version
- 2.0.0
- user-invocable
- true
MANDATORY PREPARATION
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first. Consult the prompt-engineering reference in the agent-workflow skill for naming and style consistency patterns.
Ensure consistency across all workflow components. Inconsistency creates confusion — for the model, for developers, and for users.
Calibration Dimensions
Naming Conventions
- Tool names follow consistent pattern (verb_noun, noun.verb, or camelCase — pick one)
- Agent names follow consistent pattern
- Configuration keys follow consistent pattern
- File names follow consistent pattern
Prompt Style
- All prompts use the same structural pattern (4-zone)
- Consistent delimiter style (XML tags, markdown headers, triple-dash)
- Consistent output schema format (JSON schema, markdown template)
- Consistent instruction style (imperative, numbered steps)
Error Handling
- All tools return errors in the same format
- Error codes follow consistent scheme
- Error messages follow consistent tone
- Retry logic uses consistent strategy
Logging
- All logs use the same format (JSON structured, text, etc.)
- Consistent field names across all log entries
- Consistent log levels (debug, info, warn, error)
- Consistent PII redaction approach
Calibration Process
- Identify the standard: What's the most common pattern in the existing codebase? That's the standard.
- List deviations: Find all components that deviate from the standard.
- Prioritize: Fix the most impactful deviations first (user-facing > internal).
- Apply: Make the changes, ensuring tests still pass.
- Document: Update
.maestro.mdwith the established conventions.
Consistency Audit Table
| Dimension | Standard | Deviations Found | Priority |
|---|---|---|---|
| Tool naming | ? | ? of ? tools | High/Med/Low |
| Prompt structure | ? | ? of ? prompts | High/Med/Low |
| Error format | ? | ? of ? tools | High/Med/Low |
| Log format | ? | ? of ? entries | High/Med/Low |
Calibration Checklist
- Convention standard identified for each dimension
- All deviations listed with location
- Highest impact deviations fixed first
- Tests pass after each calibration change
- Updated
.maestro.mdwith established conventions
Recommended Next Step
After calibration, run /refine for a final polish pass, or /evaluate to verify consistency improvements.
NEVER:
- Invent new conventions when existing ones work
- Calibrate in a way that changes behavior (this is standardization, not refactoring)
- Skip test verification after calibration
- Change naming conventions without updating all references
© sharpdeveye, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in source/skills/calibrate of sharpdeveye/maestro.
Open the folder on GitHubat commit 00f9115
Compare with similar skills
Calibrate next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Calibrate this skillsharpdeveye/maestro | 592 | — | ~782 | Automated safety check: Pass | MIT | |
| React Native Best Practicesvercel-labs/openreview | 1.7k | 17 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Swiftui Protwostraws/SwiftUI-Agent-Skill | 5.1k | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Kortix Brandkortix-ai/suna | 20k | — | ~4k | Automated safety check: Pass | Custom licence | |
| Ip As LogoKartikLabhshetwar/better-shot | 2.4k | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Compose Multiplatform Patternsmonta-app/ocpp-emulator | 180 | 5 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
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Questions about Calibrate
What does Calibrate do?
A skill your agent uses when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards. Calibrate is an agent skill from sharpdeveye/maestro. Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.
When should I use Calibrate?
Calibrate fits situations like: workflow components are inconsistent; naming conventions vary; A new team members work needs alignment to project standards.
How do I install Calibrate in Claude Code?
Run `npx skills add sharpdeveye/maestro --skill calibrate -a claude-code`. Or copy the skill folder (source/skills/calibrate in sharpdeveye/maestro) into .claude/skills/calibrate in your project. Claude Code loads it when a task matches its description.
How do I install Calibrate in Codex?
Run `npx skills add sharpdeveye/maestro --skill calibrate -a codex`. Or copy the skill folder (source/skills/calibrate in sharpdeveye/maestro) into .agents/skills/calibrate in your project. Codex loads it when a task matches its description.
Can I use Calibrate in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sharpdeveye/maestro --skill calibrate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/calibrate, .gemini/skills/calibrate, .github/skills/calibrate and .opencode/skills/calibrate in your project.
What does Calibrate need to run?
SKILL.md names no scripts, command-line tools or credentials: Calibrate is instructions for the agent only.
Does Calibrate access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Calibrate safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Calibrate use?
Calibrate is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Calibrate use?
About 782 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Calibrate?
Skills that share tags, products or a category with Calibrate: React Native Best Practices (vercel-labs/openreview, 1.7k stars), Swiftui Pro (twostraws/SwiftUI-Agent-Skill, 5.1k stars), Kortix Brand (kortix-ai/suna, 20k stars) and Ip As Logo (KartikLabhshetwar/better-shot, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Calibrate?
sharpdeveye (a GitHub user) maintains it in sharpdeveye/maestro, which has 592 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on April 29, 2026.
Source: sharpdeveye/maestro on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.