Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
Draft user-reviewable testing posts for EspControl feature branches, especially manual ESPHome installation instructions and focused hardware feedback steps.
Install User Feedback
$ npx skills add jtenniswood/espcontrol --skill user-feedback -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jtenniswood/espcontrol user-feedback --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/jtenniswood/espcontrol.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/user-feedback .claude/skills/user-feedback && 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 "user-feedback" agent skill from https://github.com/jtenniswood/espcontrol/tree/main/.agents/skills/user-feedback into .claude/skills/user-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-feedback", 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/jtenniswood/espcontrol/tree/main/.agents/skills/user-feedbackType 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 jtenniswood/espcontrol --skill user-feedback -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jtenniswood/espcontrol user-feedback --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jtenniswood/espcontrol.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/user-feedback .agents/skills/user-feedback && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "user-feedback" agent skill from https://github.com/jtenniswood/espcontrol/tree/main/.agents/skills/user-feedback into .agents/skills/user-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-feedback", 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 jtenniswood/espcontrol --skill user-feedback -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jtenniswood/espcontrol user-feedback --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jtenniswood/espcontrol.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/user-feedback .cursor/skills/user-feedback && 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 "user-feedback" agent skill from https://github.com/jtenniswood/espcontrol/tree/main/.agents/skills/user-feedback into .cursor/skills/user-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-feedback", 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/jtenniswood/espcontrol.git --path .agents/skills/user-feedback--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 jtenniswood/espcontrol --skill user-feedback -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jtenniswood/espcontrol user-feedback --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jtenniswood/espcontrol.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/user-feedback .gemini/skills/user-feedback && 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 "user-feedback" agent skill from https://github.com/jtenniswood/espcontrol/tree/main/.agents/skills/user-feedback into .gemini/skills/user-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-feedback", 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 jtenniswood/espcontrol user-feedbackInstalls 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 jtenniswood/espcontrol --skill user-feedback -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jtenniswood/espcontrol.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/user-feedback .github/skills/user-feedback && 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 "user-feedback" agent skill from https://github.com/jtenniswood/espcontrol/tree/main/.agents/skills/user-feedback into .github/skills/user-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-feedback", 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 jtenniswood/espcontrol --skill user-feedback -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jtenniswood/espcontrol user-feedback --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jtenniswood/espcontrol.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/user-feedback .opencode/skills/user-feedback && 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 "user-feedback" agent skill from https://github.com/jtenniswood/espcontrol/tree/main/.agents/skills/user-feedback into .opencode/skills/user-feedback/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "user-feedback", 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
user-feedback- GitHub stars
- 1.1k
- Token cost
- ~703 tokens
- SKILL.md length
- 309 words
- Files
- 2
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Draft user-reviewable testing posts for EspControl feature branches, especially manual ESPHome installation instructions and focused hardware feedback steps.
- Works in 7 steps: Identify the feature branch, pull… → Use the branch ref in all GitHub ESPHome… → For EspControl manual ESPHome installs,… → …
- The user asks for a feedback request
- SKILL.md covers Drafting workflow and Output boundaries
- Reaches cdn.jsdelivr.net
What it does
User Feedback is an agent skill from jtenniswood/espcontrol. Draft user-reviewable testing posts for EspControl feature branches, especially manual ESPHome installation instructions and focused hardware feedback steps. Use when the user asks for a feedback request, tester announcement, or review draft for a branch.
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Development. The repository describes itself as: Esphome based smart home control panel.
When your agent uses it
- The user asks for a feedback request
- Tester announcement
- Review draft for a branch
Example prompts
- “/user-feedback”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Identify the feature branch, pull request, affected display, and the exact user-visible behavior being tested. Inspect repository device…
- Use the branch ref in all GitHub ESPHome package sources that need to provide the feature. A package URL alone normally resolves the…
- For EspControl manual ESPHome installs, include the branch component substitution when the nested device package uses…
- If the feature changes the web UI, point web_server.js_url at the matching branch web asset when practical. Prefer the repository’s…
- Include a complete, copyable ESPHome YAML example. Use the device’s documented packages.yaml path and matching device slug; do not invent…
- Give testers a short numbered checklist tied to the feature’s acceptance criteria. For climate controls, cover capability visibility, the…
- Ask testers to report the display model, ESPHome version, entity or device details, available modes, observed behavior, and any errors…
What it can do on your machine
Read from SKILL.md and the folder at commit 72cf82c. 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 yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
cdn.jsdelivr.net
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
User Feedback loads about 703 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 309 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 309 words (~703 tokens).
“Create a complete draft that the user can review before it is posted. Do not publish, comment, or send the draft unless the user separately asks for that action.”
- name
- user-feedback
Files
SKILL.md and 1 other file in .agents/skills/user-feedback of jtenniswood/espcontrol.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit 72cf82c
Compare with similar skills
User Feedback 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 |
|---|---|---|---|---|---|---|
| User Feedback this skilljtenniswood/espcontrol | 1.1k | — | ~703 | Automated safety check: Pass | Custom licence | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT |
Similar skills
- Official
Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Typescript Advanced Types
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
Code Review Checklist
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
Greploop
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Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
More from jtenniswood/espcontrol
All 14 skills in this repoClean Complete Branches
jtenniswood/espcontrol
Clean up completed Git branches and worktrees for this repository both locally and on GitHub.
Clean Merged Branch Folders
jtenniswood/espcontrol
Clean up local branch worktree folders for this repository after their branches or pull requests have merged to main.
Flash Displays
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Flash EspControl display firmware from this repository using ESPHome.
PR
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Review a new or open pull request for this repository with an adversarial security and quality lens.
Release
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Create and safely publish a new GitHub release for this repository through a verified draft build, then confirm the related GitHub Actions run.
Review All
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Review every open pull request authored by the user in this repository and address actionable unresolved review feedback.
Related
Categories
Questions about User Feedback
What does User Feedback do?
Draft user-reviewable testing posts for EspControl feature branches, especially manual ESPHome installation instructions and focused hardware feedback steps. User Feedback is an agent skill from jtenniswood/espcontrol. Draft user-reviewable testing posts for EspControl feature branches, especially manual ESPHome installation instructions and focused hardware feedback steps.
When should I use User Feedback?
User Feedback fits situations like: the user asks for a feedback request; tester announcement; review draft for a branch.
How do I install User Feedback in Claude Code?
Run `npx skills add jtenniswood/espcontrol --skill user-feedback -a claude-code`. Or copy the skill folder (.agents/skills/user-feedback in jtenniswood/espcontrol) into .claude/skills/user-feedback in your project. Claude Code loads it when a task matches its description.
How do I install User Feedback in Codex?
Run `npx skills add jtenniswood/espcontrol --skill user-feedback -a codex`. Or copy the skill folder (.agents/skills/user-feedback in jtenniswood/espcontrol) into .agents/skills/user-feedback in your project. Codex loads it when a task matches its description.
Can I use User Feedback 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 jtenniswood/espcontrol --skill user-feedback -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/user-feedback, .gemini/skills/user-feedback, .github/skills/user-feedback and .opencode/skills/user-feedback in your project.
What does User Feedback need to run?
SKILL.md names no scripts, command-line tools or credentials: User Feedback is instructions for the agent only.
Does User Feedback access the network?
SKILL.md names 1 domain. In commands or code: cdn.jsdelivr.net; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is User Feedback 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 User Feedback use?
User Feedback 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 User Feedback use?
About 703 tokens (SKILL.md is roughly 2.8k 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 User Feedback?
Skills that share tags, products or a category with User Feedback: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains User Feedback?
jtenniswood (a GitHub user) maintains it in jtenniswood/espcontrol, which has 1,091 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 11, 2026.
Source: jtenniswood/espcontrol on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.