Agent skill

Mece Analysis

by itseffi in itseffi/agentic-os

Structure thinking using Mutually Exclusive, Collectively Exhaustive categories.

MITAuto-check passed

Install Mece Analysis

skills CLI
$ npx skills add itseffi/agentic-os --skill mece-analysis -a claude-code

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

GitHub CLI
$ gh skill install itseffi/agentic-os mece-analysis --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/itseffi/agentic-os.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/mece-analysis .claude/skills/mece-analysis && 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
mece-analysis
GitHub stars
115
Token cost
~400 tokens
SKILL.md length
186 words
Files
2
Skills in repo
29
Repo updated
First seen
Licence
MIT

At a glance

Structure thinking using Mutually Exclusive, Collectively Exhaustive categories.

  • Works in 3 steps: Analyze Mutual Exclusivity → Analyze Collective Exhaustiveness → Create Logical Tree
  • Breaking down problems
  • SKILL.md covers When to Use, The Principle, The Process and Example, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mece Analysis is an agent skill from itseffi/agentic-os. Structure thinking using Mutually Exclusive, Collectively Exhaustive categories. Use when breaking down problems or ensuring complete coverage.

Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: Agentic personal OS to automate high-leverage workflows with Codex, Claude Code, Pi, OpenClaw and other coding agents/ runtime platforms. The licence is MIT.

When your agent uses it

  • Breaking down problems
  • Ensuring complete coverage

Example prompts

  • “/mece-analysis”

Workflow steps

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

  1. Analyze Mutual Exclusivity
  2. Analyze Collective Exhaustiveness
  3. Create Logical Tree

What it can do on your machine

Read from SKILL.md and the folder at commit e54d0ac. 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

Mece Analysis loads about 400 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~39
When it runs · the whole SKILL.md, loaded when a task matches
~400

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 itseffi/agentic-os at commit e54d0ac, republished under its MIT licence (© itseffi). 186 words, ~400 tokens.

Download SKILL.mdSave it as .claude/skills/mece-analysis/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
mece-analysis
description
Structure thinking using Mutually Exclusive, Collectively Exhaustive categories. Use when breaking down problems or ensuring complete coverage.

MECE Analysis

Structure thinking using Mutually Exclusive, Collectively Exhaustive categories.

When to Use

When you need to break down a problem, categorize options, or ensure complete coverage.

The Principle

MECE = Mutually Exclusive, Collectively Exhaustive

  • Mutually Exclusive: No overlap between categories
  • Collectively Exhaustive: All possibilities covered

The Process

1. Analyze Mutual Exclusivity

For each pair of items:

  • Is there any overlap?
  • Could something belong to both?
  • If overlap exists, redefine boundaries
2. Analyze Collective Exhaustiveness

For the whole set:

  • Are there gaps?
  • What scenarios aren't covered?
  • What's missing?
3. Create Logical Tree

Structure as hierarchy:

  • Top level: Broadest categories
  • Sub-levels: More specific breakdowns
  • Each level should be MECE

Example

Bad (not MECE):

  • Marketing channels: Social, Digital, Facebook, Email
  • (Facebook overlaps with Social and Digital)

Good (MECE):

  • Marketing channels: Paid, Owned, Earned
    • Paid: Social ads, Search ads, Display
    • Owned: Email, Website, App
    • Earned: PR, Reviews, Word of mouth

Output

  • MECE categories with clear boundaries
  • Logical tree showing hierarchy
  • Notes on any gaps or overlaps found

When Not to Use

Do not use this skill when the request is unrelated, low-stakes, or better handled by a simpler direct response.

© itseffi, 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 1 other file in .agents/skills/mece-analysis of itseffi/agentic-os.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e54d0ac

Compare with similar skills

Mece Analysis 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.

Mece Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mece Analysis this skillitseffi/agentic-os115—~400Automated safety check: PassMIT
Agent Collective Intelligence Coordinatorruvnet/ruflo74k3 repos~1kAutomated safety check: PassMIT
Collection Digestoutline/outline41k—~498Automated safety check: PassCustom licence
Think Tankdavila7/claude-code-templates32k—~3kAutomated safety check: PassMIT
Postman Collection Generatorsickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT
Dossier Collectruvnet/ruflo74k—~1.1kAutomated safety check: NotesMIT

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Questions about Mece Analysis

What does Mece Analysis do?

Structure thinking using Mutually Exclusive, Collectively Exhaustive categories. Mece Analysis is an agent skill from itseffi/agentic-os. Structure thinking using Mutually Exclusive, Collectively Exhaustive categories.

When should I use Mece Analysis?

Mece Analysis fits situations like: breaking down problems; ensuring complete coverage.

How do I install Mece Analysis in Claude Code?

Run `npx skills add itseffi/agentic-os --skill mece-analysis -a claude-code`. Or copy the skill folder (.agents/skills/mece-analysis in itseffi/agentic-os) into .claude/skills/mece-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Mece Analysis in Codex?

Run `npx skills add itseffi/agentic-os --skill mece-analysis -a codex`. Or copy the skill folder (.agents/skills/mece-analysis in itseffi/agentic-os) into .agents/skills/mece-analysis in your project. Codex loads it when a task matches its description.

Can I use Mece Analysis 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 itseffi/agentic-os --skill mece-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mece-analysis, .gemini/skills/mece-analysis, .github/skills/mece-analysis and .opencode/skills/mece-analysis in your project.

What does Mece Analysis need to run?

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

Does Mece Analysis 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 Mece Analysis 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 Mece Analysis use?

Mece Analysis 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 Mece Analysis use?

About 400 tokens (SKILL.md is roughly 1.6k 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 Mece Analysis?

Skills that share tags, products or a category with Mece Analysis: Agent Collective Intelligence Coordinator (ruvnet/ruflo, 74k stars), Collection Digest (outline/outline, 41k stars), Think Tank (davila7/claude-code-templates, 32k stars) and Postman Collection Generator (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mece Analysis?

itseffi (a GitHub user) maintains it in itseffi/agentic-os, which has 115 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 7, 2026.

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