pyramid-principle

pyramid-principle is a skill for Claude Code, Codex from stefan-jansen/claude-code-toolkit. It costs 20 tokens per session (2,275 once invoked), scanned A, original, MIT.

A writing method that puts the main answer first, followed by the reasons supporting it and then the details.

In plain words
What is it for?
Use it to structure reports, explanations, proposals, and other content so the most important point appears before its supporting evidence.
Why use it?
It lets readers understand the conclusion quickly and follow the logic without searching through background information first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/stefan-jansen/claude-code-toolkit/pyramid-principle
Any agent
npx skills add stefan-jansen/claude-code-toolkit --skill pyramid-principle
Clone the repo
git clone --depth 1 https://github.com/stefan-jansen/claude-code-toolkit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pyramid-principle

README.md
[![agentmods](https://agentmods.dev/badge/skills/stefan-jansen/claude-code-toolkit/pyramid-principle.svg)](https://agentmods.dev/skills/stefan-jansen/claude-code-toolkit/pyramid-principle)
Your own site
<a href="https://agentmods.dev/skills/stefan-jansen/claude-code-toolkit/pyramid-principle"><img src="https://agentmods.dev/badge/skills/stefan-jansen/claude-code-toolkit/pyramid-principle.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,275 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.02275
Opus 5 $0.00010 $0.01137
Sonnet 5 $0.00004 $0.00455
Haiku 4.5 $0.00002 $0.00228

Measured 6d ago against content hash 1dc0bdd5d269, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

pyramid-principle scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

examples/writing/skills/pyramid-principle/SKILL.md · 334 lines

How it starts

The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pyramid Principle Skill

Foundation: Barbara Minto's pyramid principle for clear, logical communication

Core Concept: Start with the answer, then provide supporting arguments, then add details.

Why This Works:

  • Reader gets main point immediately (respects their time)
  • Supporting structure makes logical sense
  • Details are contextualized (not lost)
  • Reader can stop at any level and still understand core idea
  • Reduces cognitive load (top-down, not bottom-up)

The Pyramid Structure

                  [ANSWER / Core Message]
                           |
        ┌──────────────────┼──────────────────┐
        |                  |                  |
   [Argument 1]      [Argument 2]      [Argument 3]
        |                  |                  |
    ┌───┼───┐          ┌───┼───┐          ┌───┼───┐
    |   |   |          |   |   |          |   |   |
  [Details] [Details] [Details] [Details] [Details] [Details]

Levels:

  1. Level 1: The answer/conclusion (what they need to know)
  2. Level 2: Major supporting arguments (why answer is true)
  3. Level 3: Evidence and examples (what proves arguments)
  4. Level 4: Details and elaboration (depth as needed)

Core Rules

Rule 1: Answer First

Always start with the conclusion

Don't do this (bottom-up):

We analyzed 10 frameworks. We tested each for 6 months.
We measured productivity, reliability, and ease of use.
Framework X performed best. Therefore, we recommend Framework X.

Do this (top-down):

**We recommend Framework X** because it delivers 30% higher productivity
with proven reliability over 6 months of testing.

Here's why:
1. Productivity: 30% improvement vs alternatives
2. Reliability: Zero critical failures in production
3. Ease of adoption: 2-week learning curve vs 2-month for alternatives

Why: Reader knows the answer immediately. Supporting details provide confidence, but aren't prerequisite to understanding recommendation.

Read the full file on GitHub · 334 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 334 lines · 20 tokens per session scan A 1dc0bdd5d269

Subscribe to this mod's changes

pyramid-principle is a skill published in the GitHub repository stefan-jansen/claude-code-toolkit (86 stars, last pushed 2mo ago), licensed MIT. It adds 20 tokens to every session and 2,275 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

nft-standards

Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.

wshobson/agents · 48 tokens

postgresql-table-design

Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features.

wshobson/agents · 37 tokens

istio-traffic-management

Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilience patterns.

wshobson/agents · 40 tokens

event-store-design

Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns.

wshobson/agents · 33 tokens

workflow-orchestration-patterns

Design durable workflows with Temporal for distributed systems. Covers workflow vs activity separation, saga patterns, state management, and determinism constraints. Use when building long-running processes, distributed transactions, or microservice orchestration.

wshobson/agents · 49 tokens

ax-agent-rlm

This skill helps an LLM generate correct AxAgent RLM/runtime code using @ax-llm/ax. Use when the user asks about RLM code execution, AxJSRuntime, contextFields, contextPolicy, liveRuntimeState, promptLevel, stage prompt controls, executorModelPolicy, maxRuntimeChars, agent.test(...), llmQuery(...), recursionOptions…

ax-llm/ax · 88 tokens