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.
Control motorized camera docks and enable intelligent subject tracking using DockKit.
Install Dockkit
$ npx skills add dpearson2699/swift-ios-skills --skill dockkit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dpearson2699/swift-ios-skills dockkit --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/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dockkit .claude/skills/dockkit && 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 "dockkit" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/dockkit into .claude/skills/dockkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dockkit", 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/dpearson2699/swift-ios-skills/tree/main/skills/dockkitType 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 dpearson2699/swift-ios-skills --skill dockkit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dpearson2699/swift-ios-skills dockkit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dockkit .agents/skills/dockkit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dockkit" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/dockkit into .agents/skills/dockkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dockkit", 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 dpearson2699/swift-ios-skills --skill dockkit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dpearson2699/swift-ios-skills dockkit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dockkit .cursor/skills/dockkit && 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 "dockkit" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/dockkit into .cursor/skills/dockkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dockkit", 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/dpearson2699/swift-ios-skills.git --path skills/dockkit--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 dpearson2699/swift-ios-skills --skill dockkit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dpearson2699/swift-ios-skills dockkit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dockkit .gemini/skills/dockkit && 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 "dockkit" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/dockkit into .gemini/skills/dockkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dockkit", 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 dpearson2699/swift-ios-skills dockkitInstalls 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 dpearson2699/swift-ios-skills --skill dockkit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dockkit .github/skills/dockkit && 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 "dockkit" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/dockkit into .github/skills/dockkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dockkit", 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 dpearson2699/swift-ios-skills --skill dockkit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dpearson2699/swift-ios-skills dockkit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dpearson2699/swift-ios-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dockkit .opencode/skills/dockkit && 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 "dockkit" agent skill from https://github.com/dpearson2699/swift-ios-skills/tree/main/skills/dockkit into .opencode/skills/dockkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dockkit", 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
dockkit- GitHub stars
- 1.2k
- Token cost
- ~4.3k tokens
- SKILL.md length
- 1,097 words
- Files
- 3 (incl. references)
- Skills in repo
- 86
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Control motorized camera docks and enable intelligent subject tracking using DockKit.
- Discovering DockKit-compatible accessories
- SKILL.md covers Contents, Setup, Discovering Accessories and System Tracking, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Implementing camera subject tracking for faces
What it does
Dockkit is an agent skill from dpearson2699/swift-ios-skills. Control motorized camera docks and enable intelligent subject tracking using DockKit. Use when discovering DockKit-compatible accessories, implementing camera subject tracking for faces or bodies, controlling dock motors for pan and tilt, configuring framing behavior, setting regions of interest, or building video apps with automatic camera tracking.
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `evals/evals.json` and `references/dockkit-patterns.md`).
It sits in Mobile. The repository describes itself as: Agent Skills for iOS 26+, Swift 6.3, SwiftUI, and modern Apple frameworks.
When your agent uses it
- Discovering DockKit-compatible accessories
- Implementing camera subject tracking for faces
- Controlling dock motors for pan and tilt
- Configuring framing behavior
Example prompts
- “/dockkit”
What it can do on your machine
Read from SKILL.md and the folder at commit 8d90fd1. 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 (its code samples are swift).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
sosumi.ai
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
Dockkit loads about 4.3k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 1,097 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,097 words (~4,336 tokens).
“Framework for integrating with motorized camera stands and gimbals that physically track subjects by rotating the iPhone. DockKit handles motor control, subject detection, and framing so camera apps get 360-degree pan and 90-degree tilt tracking with no additional code. Apps…”
- name
- dockkit
Files
SKILL.md and 2 other files (references) in skills/dockkit of dpearson2699/swift-ios-skills.
- SKILL.md
- evals/evals.json
- references/dockkit-patterns.md
Open the folder on GitHubat commit 8d90fd1
Compare with similar skills
Dockkit 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 |
|---|---|---|---|---|---|---|
| Dockkit this skilldpearson2699/swift-ios-skills | 1.2k | — | ~4.3k | Automated safety check: Pass | Custom licence | |
| 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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Categories
Questions about Dockkit
What does Dockkit do?
Control motorized camera docks and enable intelligent subject tracking using DockKit. Dockkit is an agent skill from dpearson2699/swift-ios-skills. Control motorized camera docks and enable intelligent subject tracking using DockKit.
When should I use Dockkit?
Dockkit fits situations like: discovering DockKit-compatible accessories; implementing camera subject tracking for faces; controlling dock motors for pan and tilt; configuring framing behavior.
How do I install Dockkit in Claude Code?
Run `npx skills add dpearson2699/swift-ios-skills --skill dockkit -a claude-code`. Or copy the skill folder (skills/dockkit in dpearson2699/swift-ios-skills) into .claude/skills/dockkit in your project. Claude Code loads it when a task matches its description.
How do I install Dockkit in Codex?
Run `npx skills add dpearson2699/swift-ios-skills --skill dockkit -a codex`. Or copy the skill folder (skills/dockkit in dpearson2699/swift-ios-skills) into .agents/skills/dockkit in your project. Codex loads it when a task matches its description.
Can I use Dockkit 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 dpearson2699/swift-ios-skills --skill dockkit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dockkit, .gemini/skills/dockkit, .github/skills/dockkit and .opencode/skills/dockkit in your project.
What does Dockkit need to run?
SKILL.md names no scripts, command-line tools or credentials: Dockkit is instructions for the agent only.
Does Dockkit access the network?
SKILL.md names 1 domain. As links in the text: sosumi.ai. This is read from the text; nothing was executed.
Is Dockkit 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 Dockkit use?
Dockkit has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Dockkit use?
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.9k tokens, read only when the agent opens those files.
What are the alternatives to Dockkit?
Skills that share tags, products or a category with Dockkit: 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 Dockkit?
dpearson2699 (a GitHub user) maintains it in dpearson2699/swift-ios-skills, which has 1,175 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on July 31, 2026.
Source: dpearson2699/swift-ios-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.