Agent skill

Hardware

by telagod in telagod/code-abyss

Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB…

MITAuto-check passedDevelopment

Install Hardware

skills CLI
$ npx skills add telagod/code-abyss --skill hardware -a claude-code

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

GitHub CLI
$ gh skill install telagod/code-abyss hardware --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/telagod/code-abyss.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/_kernel/hardware .claude/skills/hardware && 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/

Facts

Skill name
hardware
GitHub stars
244
Token cost
~568 tokens
SKILL.md length
230 words
Files
6
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB…

  • Tasks that involve Debugging
  • SKILL.md covers Route by moment, Scope and neighbors and The stance
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hardware is an agent skill from telagod/code-abyss. Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB; writing embedded firmware; debugging physical hardware (resets, noise, dead boards, flaky sensors); or planning bring-up and validation of a new board. Scenario-driven part selection, electrical design margins, firmware-for-unattended-devices rules, bench debugging discipline, and a trap catalog.

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `bringup.md`, `circuits.md` and `firmware.md`).

It sits in Development, covering Debugging. The repository describes itself as: Give your AI coding agent a personality. Composable persona + style + skills for Claude Code, Codex, Gemini CLI & OpenClaw. Ships Tech Persona Card v1.0 spec. The licence is MIT.

When your agent uses it

  • Tasks that involve Debugging

Example prompts

  • “Use the hardware skill to electronic and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs…”
  • “/hardware”

What it can do on your machine

Read from SKILL.md and the folder at commit 2544577. 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

Hardware loads about 568 tokens when it runs. Until then it costs about 126 tokens; SKILL.md has 230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~126
When it runs · the whole SKILL.md, loaded when a task matches
~568

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 telagod/code-abyss at commit 2544577, republished under its MIT licence (© telagod). 230 words, ~568 tokens.

Download SKILL.mdSave it as .claude/skills/hardware/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
hardware
description
Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB; writing embedded firmware; debugging physical hardware (resets, noise, dead boards, flaky sensors); or planning bring-up and validation of a new board. Scenario-driven part selection, electrical design margins, firmware-for-unattended-devices rules, bench debugging discipline, and a trap catalog.
user-invocable
false

Hardware — parts, circuits, firmware, bring-up, traps

Rule content lives in the five files below; this SKILL.md only routes (doctrine/04-maintenance.md governs edits to this bundle too).

Route by moment

You are about to…Read (in this folder)
Pick an MCU, module, sensor, or any component; judge a BOM or parts proposalparts.md
Design or review a circuit: power, protection, interfaces, layout concernscircuits.md
Write or review embedded firmware (loops, ISRs, watchdogs, OTA, flash)firmware.md
Debug a physical board, plan first power-up, or validate before shippingbringup.md
Estimate battery life or a power budget ("how long on a 2000mAh cell?")circuits.md §1 + traps.md A5 — peak budgeting, measured charge per duty cycle
Review a hardware project's health; name why a design or process feels fragiletraps.md

A new design usually runs parts.md → circuits.md (power tree first) → firmware.md, with bringup.md §1 consulted BEFORE layout — bring-up is designed, not improvised.

Scope and neighbors

Physical-world engineering judgment. Firmware architecture inherits backend/logic.md (this bundle adds the physics); debugging inherits methods/investigate.md (this bundle adds instruments and the four failure domains); whether to delegate → doctrine.

The stance

The physical world is analog, undocumented, and expensive to iterate: derate, measure, and design for bring-up — and treat every datasheet as a contract whose real terms are in the footnotes (parts.md §4). One honest limit governs all debugging here: the model cannot see the board, so measurements come before theories (bringup.md §4).

© telagod, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files in skills/_kernel/hardware of telagod/code-abyss.

  • SKILL.md
  • bringup.md
  • circuits.md
  • firmware.md
  • parts.md
  • traps.md

Open the folder on GitHubat commit 2544577

Compare with similar skills

Hardware 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.

Hardware compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hardware this skilltelagod/code-abyss244—~568Automated safety check: PassMIT
Trellis Session Insightmindfold-ai/Trellis15k4 repos~1.7kAutomated safety check: PassAGPL-3.0
Native Data FetchingCherryHQ/cherry-studio-app4k6 repos~2.9kAutomated safety check: NotesMIT
Aoti Debugpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
Herdr Throwaway Reproductionherdrdev/herdr43k—~2.4kAutomated safety check: PassApache-2.0
Systematic Debuggingultralisp/ultralisp25851 repos~2.4kAutomated safety check: PassNone

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Categories

Questions about Hardware

What does Hardware do?

Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB…. Hardware is an agent skill from telagod/code-abyss. Electronics and embedded engineering judgment, distilled from a stronger model - invoke when CHOOSING components, MCUs, modules, or interfaces; designing or reviewing a circuit, power tree, or PCB; writing embedded firmware; debugging physical hardware (resets, noise, dead boards, flaky sensors); or planning bring-up and validation of a new board.

When should I use Hardware?

Hardware fits situations like: tasks that involve Debugging.

How do I install Hardware in Claude Code?

Run `npx skills add telagod/code-abyss --skill hardware -a claude-code`. Or copy the skill folder (skills/_kernel/hardware in telagod/code-abyss) into .claude/skills/hardware in your project. Claude Code loads it when a task matches its description.

How do I install Hardware in Codex?

Run `npx skills add telagod/code-abyss --skill hardware -a codex`. Or copy the skill folder (skills/_kernel/hardware in telagod/code-abyss) into .agents/skills/hardware in your project. Codex loads it when a task matches its description.

Can I use Hardware 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 telagod/code-abyss --skill hardware -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hardware, .gemini/skills/hardware, .github/skills/hardware and .opencode/skills/hardware in your project.

What does Hardware need to run?

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

Does Hardware 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 Hardware 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 Hardware use?

Hardware 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 Hardware use?

About 568 tokens (SKILL.md is roughly 2.3k 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 Hardware?

Skills that share tags, products or a category with Hardware: Trellis Session Insight (mindfold-ai/Trellis, 15k stars), Native Data Fetching (CherryHQ/cherry-studio-app, 4k stars), Aoti Debug (pytorch/pytorch, 104k stars) and Herdr Throwaway Reproduction (herdrdev/herdr, 43k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hardware?

telagod (a GitHub user) maintains it in telagod/code-abyss, which has 244 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on July 19, 2026.

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