Agent skill

API Review

Review and reimagine this repository's use of the Immich API.

Custom licenceAuto-check passedDevelopment

Install API Review

skills CLI

$ npx skills add jtenniswood/espframe --skill api-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install jtenniswood/espframe api-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/jtenniswood/espframe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/api-review .claude/skills/api-review && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "api-review" agent skill from https://github.com/jtenniswood/espframe/tree/main/.agents/skills/api-review into .claude/skills/api-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-review", 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

$skill-installer install https://github.com/jtenniswood/espframe/tree/main/.agents/skills/api-review

Type 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.

skills CLI

$ npx skills add jtenniswood/espframe --skill api-review -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install jtenniswood/espframe api-review --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jtenniswood/espframe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/api-review .agents/skills/api-review && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "api-review" agent skill from https://github.com/jtenniswood/espframe/tree/main/.agents/skills/api-review into .agents/skills/api-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-review", 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.

skills CLI

$ npx skills add jtenniswood/espframe --skill api-review -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install jtenniswood/espframe api-review --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jtenniswood/espframe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/api-review .cursor/skills/api-review && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "api-review" agent skill from https://github.com/jtenniswood/espframe/tree/main/.agents/skills/api-review into .cursor/skills/api-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-review", 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

$ gemini skills install https://github.com/jtenniswood/espframe.git --path .agents/skills/api-review

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add jtenniswood/espframe --skill api-review -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install jtenniswood/espframe api-review --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jtenniswood/espframe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/api-review .gemini/skills/api-review && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "api-review" agent skill from https://github.com/jtenniswood/espframe/tree/main/.agents/skills/api-review into .gemini/skills/api-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-review", 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.

GitHub CLI

$ gh skill install jtenniswood/espframe api-review

Installs 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).

skills CLI

$ npx skills add jtenniswood/espframe --skill api-review -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/jtenniswood/espframe.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/api-review .github/skills/api-review && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "api-review" agent skill from https://github.com/jtenniswood/espframe/tree/main/.agents/skills/api-review into .github/skills/api-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-review", 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.

skills CLI

$ npx skills add jtenniswood/espframe --skill api-review -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install jtenniswood/espframe api-review --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/jtenniswood/espframe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/api-review .opencode/skills/api-review && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "api-review" agent skill from https://github.com/jtenniswood/espframe/tree/main/.agents/skills/api-review into .opencode/skills/api-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-review", 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: api-review
GitHub stars: 208
Token cost: ~2.5k tokens
SKILL.md length: 1,258 words
Files: 2
Skills in repo: 5
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: Custom licence

At a glance

Review and reimagine this repository's use of the Immich API.

Works in 6 steps: Establish the Current Contract → Verify the Official API Surface → Evaluate Filtering as a Product Capability → …
The user says api review
SKILL.md covers Purpose, Review Principles, Workflow and Output
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

API Review is an agent skill from jtenniswood/espframe. Review and reimagine this repository's use of the Immich API. Use when the user says "api review" or "/api-review", asks how Espframe could use Immich APIs better, wants richer photo filtering, wants faster or higher-quality portrait-pair matching, or requests a holistic review of Immich request flows, payloads, permissions, and compatibility.

Its SKILL.md is about 2.5k 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. It works with ESP32. The repository describes itself as: Esphome based Immich digital photo frame.

When your agent uses it

The user says api review
Asks how Espframe could use Immich APIs better
Wants richer photo filtering
Higher-quality portrait-pair matching

Example prompts

“s use of the Immich API. Use when the user says”
“/api-review”
“/api-review”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

Establish the Current Contract
Verify the Official API Surface
Evaluate Filtering as a Product Capability
Reimagine Portrait-Pair Discovery
Design the Best Overall Integration
Validate the Recommendations

What it can do on your machine

Read from SKILL.md and the folder at commit 12db1d5. 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

API Review loads about 2.5k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 1,258 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~89
When it runs · the whole SKILL.md, loaded when a task matches: ~2.5k

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 1,258 words (~2,532 tokens).

“Review Espframe's Immich integration as a senior API and embedded-systems engineer. Compare the implementation with the current official Immich API documentation and propose the best practical design for selecting photos and finding visually and contextually coherent portrait pairs.”

— opening of SKILL.md by jtenniswood, Custom licence

name: api-review

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .agents/skills/api-review of jtenniswood/espframe.

SKILL.md
agents/openai.yaml

Open the folder on GitHubat commit 12db1d5

Compare with similar skills

API Review 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.

API Review compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
API Review this skilljtenniswood/espframe	208	—	~2.5k	Automated safety check: Pass	Custom licence	yesterday
RuView Hardware Setupruvnet/RuView	97k	—	~1.8k	Automated safety check: Notes	MIT	today
Esp32 Firmware Engineeralxv2016/folloup-sticky	117	1 repos	~3.8k	Automated safety check: Pass	GPL-3.0	2 mo ago
RuView mmWave Radar Setupruvnet/RuView	97k	—	~907	Automated safety check: Notes	MIT	today
Embedded DebugFastLED/FastLED	7.5k	—	~1.4k	Automated safety check: Pass	MIT	yesterday
Auto EmbeddedDunCanYounG-1/MICU-auto-embedded	253	—	~1.6k	Automated safety check: Pass	CC-BY-NC-4.0	4 days ago

Similar skills

RuView Hardware Setup
ruvnet/RuView
Brings a RuView CSI sensing node online by building ESP32-S3 or ESP32-C6 firmware, flashing the board, provisioning WiFi and checking the serial output.
97k GitHub stars~1.8k tokensUpdated today
DevelopmentAuto-check: notes
Esp32 Firmware Engineer
alxv2016/folloup-sticky
ESP32 firmware engineering for ESP-IDF projects. An agent skill from alxv2016/folloup-sticky.
117 GitHub starsUsed in 1 repo~3.8k tokens
DevelopmentAuto-check passed
RuView mmWave Radar Setup
ruvnet/RuView
Sets up and runs 60 GHz and 24 GHz mmWave radar sensing on ESP32 boards in RuView, alone or fused with WiFi CSI.
97k GitHub stars~907 tokensUpdated today
DevelopmentAuto-check: notes
Embedded Debug
FastLED/FastLED
Firmware crash analysis, stack trace decoder, and register dump interpreter for ESP32/ARM/AVR platforms.
7.5k GitHub stars~1.4k tokensUpdated yesterday
DevelopmentAuto-check passed
Auto Embedded
DunCanYounG-1/MICU-auto-embedded
全平台嵌入式 AI 开发框架（对标 Trellis）：把 RIPER-5 五阶段协议 + 四文件记忆 + 分层架构门禁 + Scout/Builder/Verifier 多 Agent + 24 个工具调用技能（build/flash/debug/serial/can/modbus/visa/static/memory/rtos/scons），做成『装进工程、项目级 hook…
253 GitHub stars~1.6k tokensUpdated 4 days ago
DevelopmentAuto-check passed
Embedded Cpp14 Misra
BlueAndi/Pixelix
A skill your agent uses when writing, reviewing, or refactoring C/C++ firmware code in this repository (src/, lib/, test/) — creating or editing .h/.hpp/.cpp files, applying MISRA-oriented and…
443 GitHub stars~2k tokensUpdated 3 days ago
DevelopmentAuto-check passed

Questions about API Review

What does API Review do?

Review and reimagine this repository's use of the Immich API. API Review is an agent skill from jtenniswood/espframe. Review and reimagine this repository's use of the Immich API.

When should I use API Review?

API Review fits situations like: the user says api review; asks how Espframe could use Immich APIs better; wants richer photo filtering; higher-quality portrait-pair matching.

How do I install API Review in Claude Code?

Run `npx skills add jtenniswood/espframe --skill api-review -a claude-code`. Or copy the skill folder (.agents/skills/api-review in jtenniswood/espframe) into .claude/skills/api-review in your project. Claude Code loads it when a task matches its description.

How do I install API Review in Codex?

Run `npx skills add jtenniswood/espframe --skill api-review -a codex`. Or copy the skill folder (.agents/skills/api-review in jtenniswood/espframe) into .agents/skills/api-review in your project. Codex loads it when a task matches its description.

Can I use API Review 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/espframe --skill api-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/api-review, .gemini/skills/api-review, .github/skills/api-review and .opencode/skills/api-review in your project.

What does API Review need to run?

SKILL.md names no scripts, command-line tools or credentials: API Review is instructions for the agent only.

Does API Review 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 API Review 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 API Review use?

API Review 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 API Review use?

About 2.5k tokens (SKILL.md is roughly 10k 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 API Review?

Skills that share tags, products or a category with API Review: RuView Hardware Setup (ruvnet/RuView, 97k stars), Esp32 Firmware Engineer (alxv2016/folloup-sticky, 117 stars), RuView mmWave Radar Setup (ruvnet/RuView, 97k stars) and Embedded Debug (FastLED/FastLED, 7.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains API Review?

jtenniswood (a GitHub user) maintains it in jtenniswood/espframe, which has 208 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 10, 2026.

Source: jtenniswood/espframe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

API Review

Install API Review

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

RuView Hardware Setup

Esp32 Firmware Engineer

RuView mmWave Radar Setup

Embedded Debug

Auto Embedded

Embedded Cpp14 Misra

More from jtenniswood/espframe

Flash Displays

Release

Resolve PR Conflicts

Updates

Questions about API Review

Install API Review

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Files

Compare with similar skills

Similar skills

More from jtenniswood/espframe

Related

Questions about API Review