Agent skill

Eighty Twenty Power Curve

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Apply 80/20 power-curve thinking to sales, marketing, customers, offers, traffic, time, and operations.

MITAuto-check passed

Install Eighty Twenty Power Curve

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill eighty-twenty-power-curve -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins eighty-twenty-power-curve --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/LVTD-LLC/skills/skills/eighty-twenty-power-curve .claude/skills/eighty-twenty-power-curve && 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
eighty-twenty-power-curve
GitHub stars
1.3k
Token cost
~900 tokens
SKILL.md length
386 words
Files
1
Skills in repo
716
Repo updated
First seen
Licence
MIT

At a glance

Apply 80/20 power-curve thinking to sales, marketing, customers, offers, traffic, time, and operations.

  • Works in 4 steps: Name The Population → Rank By The Outcome That Matters → Look For Nested 80/20 → …
  • Finding leverage
  • SKILL.md covers Source Traceability, Workflow, Output Format and Quality Bar
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Eighty Twenty Power Curve is an agent skill from hashgraph-online/awesome-codex-plugins. Apply 80/20 power-curve thinking to sales, marketing, customers, offers, traffic, time, and operations. Use when finding leverage, diagnosing uneven results, prioritizing high-upside segments, or replacing average-based reasoning with Pareto and power-law analysis.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Codex, Claude Code, and other Agent Skills-compatible clients.

The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is MIT.

When your agent uses it

  • Finding leverage
  • Diagnosing uneven results
  • Prioritizing high-upside segments
  • Replacing average-based reasoning with Pareto and power-law analysis

Example prompts

  • “/eighty-twenty-power-curve”

Requirements

  • Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients.

Workflow steps

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

  1. Name The Population
  2. Rank By The Outcome That Matters
  3. Look For Nested 80/20
  4. Decide The Resource Shift

What it can do on your machine

Read from SKILL.md and the folder at commit 3e1456a. 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).

    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.

  • Compatibility

    Codex, Claude Code, and other Agent Skills-compatible clients.

    From compatibility in the SKILL.md frontmatter.

Context cost

Eighty Twenty Power Curve loads about 900 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 386 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~900

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 hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its MIT licence (© hashgraph-online). 386 words, ~900 tokens.

Download SKILL.mdSave it as .claude/skills/eighty-twenty-power-curve/SKILL.md (or your agent's skills folder).
name
eighty-twenty-power-curve
description
Apply 80/20 power-curve thinking to sales, marketing, customers, offers, traffic, time, and operations. Use when finding leverage, diagnosing uneven results, prioritizing high-upside segments, or replacing average-based reasoning with Pareto and power-law analysis.
compatibility
Codex, Claude Code, and other Agent Skills-compatible clients.
license
MIT
metadata.version
0.1.0
metadata.displayName
80/20 Power Curve
metadata.category
Marketing
metadata.tags
eighty-twenty,pareto,sales,marketing,prioritization

80/20 Power Curve

Use this skill to find where a small minority of inputs creates most of the value, cost, waste, demand, or opportunity. It is based on 80/20 Sales and Marketing by Perry Marshall.

Source Traceability

Primary source: 80/20 Sales and Marketing, chapters 1, 5, 14, and the appendix.

  • Chapter 1 introduces compounding 80/20 behavior and warns against average thinking.
  • Chapter 5 applies the power curve to business opportunity and resource shifts.
  • Chapter 14 explains why positive feedback creates non-linear outcomes.
  • The appendix gives the math-oriented version of the power curve.

Workflow

1. Name The Population

Define the set being ranked:

  • Customers, leads, products, pages, ads, keywords, salespeople, tasks, support issues, markets, partners, content assets, or campaigns.
  • Time window.
  • Outcome metric: revenue, profit, conversions, usage, retention, attention, qualified pipeline, cost, complaints, or effort.

If the user provides only averages, ask for raw counts or ranked items. If raw data is unavailable, create an explicit estimate and label it.

2. Rank By The Outcome That Matters

Sort items from strongest to weakest. Prefer profit or qualified action over surface volume.

Use these questions:

  • Which few items create most of the upside?
  • Which few items create most of the waste?
  • What is the best item worth compared with the median?
  • Where does the distribution drop sharply?
  • What would change if resources moved from the weak tail to the strong head?
Show full SKILL.md (157 more words)Show less
3. Look For Nested 80/20

After finding the top 20 percent, look inside that group for the top 20 percent again. Stop when the data becomes too thin to interpret.

Useful nested cuts:

  • Top customers inside the top customer segment.
  • Best ads inside the best campaign.
  • Highest-intent keywords inside the best keyword cluster.
  • Best tasks inside the highest-value role.
4. Decide The Resource Shift

Recommend one of four moves:

  • Double down on the strongest items.
  • Split-test or refine the items near the threshold.
  • Stop, delegate, or automate the weak tail.
  • Gather better data before acting.

Do not recommend optimization of the average item unless it unlocks a stronger power-curve move.

Output Format

markdown
# 80/20 Power Curve Analysis

## Population
- Items ranked:
- Time window:
- Outcome metric:
- Data quality:

## Power-Curve Findings
| Rank/Segment | Item Or Group | Outcome | Interpretation |
|--------------|---------------|---------|----------------|

## Nested 80/20
- Strongest sub-segment:
- Weak tail:
- Biggest surprise:

## Recommended Resource Shift
- Move resources from:
- Move resources to:
- Expected effect:
- Data still needed:

Quality Bar

  • Do not use averages as the main conclusion.
  • Do not treat all customers, leads, channels, or tasks as equal.
  • Separate upside concentration from waste concentration.
  • Prefer profit, qualified action, or strategic value over raw volume.
  • Label assumptions when exact ranked data is missing.

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

Files

Just SKILL.md in plugins/LVTD-LLC/skills/skills/eighty-twenty-power-curve of hashgraph-online/awesome-codex-plugins.

Open the folder on GitHubat commit 3e1456a

Compare with similar skills

Eighty Twenty Power Curve 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.

Eighty Twenty Power Curve compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Eighty Twenty Power Curve this skillhashgraph-online/awesome-codex-plugins1.3k—~900Automated safety check: PassMIT
Statistical PowerK-Dense-AI/scientific-agent-skills48k1 repos~4.4kAutomated safety check: NotesMIT
Twenty Record Presentationtwentyhq/twenty58k—~2.1kAutomated safety check: PassCustom licence
Think Tankdavila7/claude-code-templates33k—~3kAutomated safety check: PassMIT
Powerbergside/awesome-design-skills3.1k—~850Automated safety check: PassMIT
Twenty CRM via MCPtwentyhq/twenty58k—~775Automated safety check: PassCustom licence

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Questions about Eighty Twenty Power Curve

What does Eighty Twenty Power Curve do?

Apply 80/20 power-curve thinking to sales, marketing, customers, offers, traffic, time, and operations. Eighty Twenty Power Curve is an agent skill from hashgraph-online/awesome-codex-plugins. Apply 80/20 power-curve thinking to sales, marketing, customers, offers, traffic, time, and operations.

When should I use Eighty Twenty Power Curve?

Eighty Twenty Power Curve fits situations like: finding leverage; diagnosing uneven results; prioritizing high-upside segments; replacing average-based reasoning with Pareto and power-law analysis.

How do I install Eighty Twenty Power Curve in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill eighty-twenty-power-curve -a claude-code`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/eighty-twenty-power-curve in hashgraph-online/awesome-codex-plugins) into .claude/skills/eighty-twenty-power-curve in your project. Claude Code loads it when a task matches its description.

How do I install Eighty Twenty Power Curve in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill eighty-twenty-power-curve -a codex`. Or copy the skill folder (plugins/LVTD-LLC/skills/skills/eighty-twenty-power-curve in hashgraph-online/awesome-codex-plugins) into .agents/skills/eighty-twenty-power-curve in your project. Codex loads it when a task matches its description.

Can I use Eighty Twenty Power Curve 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 hashgraph-online/awesome-codex-plugins --skill eighty-twenty-power-curve -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/eighty-twenty-power-curve, .gemini/skills/eighty-twenty-power-curve, .github/skills/eighty-twenty-power-curve and .opencode/skills/eighty-twenty-power-curve in your project.

What does Eighty Twenty Power Curve need to run?

SKILL.md names no scripts, command-line tools or credentials: Eighty Twenty Power Curve is instructions for the agent only. Compatibility (from SKILL.md): Codex, Claude Code, and other Agent Skills-compatible clients..

Does Eighty Twenty Power Curve 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 Eighty Twenty Power Curve 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 Eighty Twenty Power Curve use?

Eighty Twenty Power Curve is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Eighty Twenty Power Curve use?

About 900 tokens (SKILL.md is roughly 3.6k 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 Eighty Twenty Power Curve?

Skills that share tags, products or a category with Eighty Twenty Power Curve: Statistical Power (K-Dense-AI/scientific-agent-skills, 48k stars), Twenty Record Presentation (twentyhq/twenty, 58k stars), Think Tank (davila7/claude-code-templates, 33k stars) and Power (bergside/awesome-design-skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Eighty Twenty Power Curve?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.