Agent skill

Component Identification Sizing

by tech-leads-club in tech-leads-club/agent-skills

Maps architectural components in a codebase and measures their size to identify what should be extracted first.

Custom licenceAuto-check passedDevOps & Cloud

Install Component Identification Sizing

skills CLI
$ npx skills add tech-leads-club/agent-skills --skill component-identification-sizing -a claude-code

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

GitHub CLI
$ gh skill install tech-leads-club/agent-skills component-identification-sizing --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/tech-leads-club/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'packages/skills-catalog/skills/(architecture)/component-identification-sizing' .claude/skills/component-identification-sizing && 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
component-identification-sizing
GitHub stars
7k
Token cost
~3.4k tokens
SKILL.md length
994 words
Files
3
Skills in repo
74
Repo updated
First seen
Licence
Custom licence

At a glance

Maps architectural components in a codebase and measures their size to identify what should be extracted first.

  • Works in 3 steps: Identify Components → Calculate Size Metrics → Identify Size Issues
  • Asking how big is each module?
  • SKILL.md covers How to Use, When to Use, Core Concepts and Analysis Process, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Component Identification Sizing is an agent skill from tech-leads-club/agent-skills. Maps architectural components in a codebase and measures their size to identify what should be extracted first. Use when asking "how big is each module?", "what components do I have?", "which service is too large?", "analyze codebase structure", "size my monolith", or planning where to start decomposing. Do NOT use for runtime performance sizing or infrastructure capacity planning.

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `QUICK-REFERENCE.md` and `README.md`).

It sits in DevOps & Cloud, covering Site reliability engineering. The repository describes itself as: The secure, validated skill registry for professional AI coding agents. Extend Antigravity, Claude Code, Cursor, Copilot and more with absolute confidence.

When your agent uses it

  • Asking how big is each module?
  • What components do I have?
  • Which service is too large?
  • Analyze codebase structure

Example prompts

  • “how big is each module?”
  • “what components do I have?”
  • “which service is too large?”
  • “/component-identification-sizing”

Requirements

  • Node.js

Workflow steps

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

  1. Identify Components
  2. Calculate Size Metrics
  3. Identify Size Issues

What it can do on your machine

Read from SKILL.md and the folder at commit 6df68d5. 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 markdown and javascript).

    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

Component Identification Sizing loads about 3.4k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 994 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k

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 994 words (~3,417 tokens).

“This skill identifies architectural components (logical building blocks) in a codebase and calculates size metrics to assess decomposition feasibility and identify oversized components.”

— opening of SKILL.md by tech-leads-club, Custom licence
name
component-identification-sizing

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in packages/skills-catalog/skills/(architecture)/component-identification-sizing of tech-leads-club/agent-skills.

  • SKILL.md
  • QUICK-REFERENCE.md
  • README.md

Open the folder on GitHubat commit 6df68d5

Compare with similar skills

Component Identification Sizing 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.

Component Identification Sizing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Component Identification Sizing this skilltech-leads-club/agent-skills7k—~3.4kAutomated safety check: PassCustom licence
Inference Autopilotrednote-machine-learning/Inference-autopilot144—~4.5kAutomated safety check: PassApache-2.0
Executing Distributed System Testsshenli/distributed-system-testing231—~5.1kAutomated safety check: NotesMIT
Alerting Irmgrafana/skills2811 repos~1.9kAutomated safety check: PassApache-2.0
Slo Implementationwshobson/agents40k11 repos~1.7kAutomated safety check: PassMIT
Agentforce D360 Analyzeforcedotcom/sf-skills1.1k—~3.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Component Identification Sizing

What does Component Identification Sizing do?

Maps architectural components in a codebase and measures their size to identify what should be extracted first. Component Identification Sizing is an agent skill from tech-leads-club/agent-skills. Maps architectural components in a codebase and measures their size to identify what should be extracted first.

When should I use Component Identification Sizing?

Component Identification Sizing fits situations like: asking how big is each module?; what components do I have?; which service is too large?; analyze codebase structure.

How do I install Component Identification Sizing in Claude Code?

Run `npx skills add tech-leads-club/agent-skills --skill component-identification-sizing -a claude-code`. Or copy the skill folder (packages/skills-catalog/skills/(architecture)/component-identification-sizing in tech-leads-club/agent-skills) into .claude/skills/component-identification-sizing in your project. Claude Code loads it when a task matches its description.

How do I install Component Identification Sizing in Codex?

Run `npx skills add tech-leads-club/agent-skills --skill component-identification-sizing -a codex`. Or copy the skill folder (packages/skills-catalog/skills/(architecture)/component-identification-sizing in tech-leads-club/agent-skills) into .agents/skills/component-identification-sizing in your project. Codex loads it when a task matches its description.

Can I use Component Identification Sizing 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 tech-leads-club/agent-skills --skill component-identification-sizing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/component-identification-sizing, .gemini/skills/component-identification-sizing, .github/skills/component-identification-sizing and .opencode/skills/component-identification-sizing in your project.

What does Component Identification Sizing need to run?

SKILL.md names no scripts, command-line tools or credentials: Component Identification Sizing is instructions for the agent only. Our summary lists: Node.js.

Does Component Identification Sizing 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 Component Identification Sizing 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 Component Identification Sizing use?

Component Identification Sizing 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 Component Identification Sizing use?

About 3.4k tokens (SKILL.md is roughly 14k 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 Component Identification Sizing?

Skills that share tags, products or a category with Component Identification Sizing: Inference Autopilot (rednote-machine-learning/Inference-autopilot, 144 stars), Executing Distributed System Tests (shenli/distributed-system-testing, 231 stars), Alerting Irm (grafana/skills, 281 stars) and Slo Implementation (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Component Identification Sizing?

tech-leads-club (a GitHub organization) maintains it in tech-leads-club/agent-skills, which has 7,043 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 8, 2026.

Source: tech-leads-club/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.