radical-simplification

A collection of thinking techniques for making complicated problems simpler. It covers ways to clarify, reduce, split up, reverse, limit, generalize, and check a problem.

In plain words
What is it for?
Simplifying designs, planning work, investigating bugs, reviewing decisions, and breaking large problems into manageable parts.
Why use it?
It helps when a design, plan, or investigation has become too complicated or when important decisions remain unclear.

Skill for Claude CodeCodex

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/pproenca/dot-skills/radical-simplification
Any agent
npx skills add pproenca/dot-skills --skill radical-simplification
Clone the repo
git clone --depth 1 https://github.com/pproenca/dot-skills

Made for: Claude Code, Codex.

Per session 197 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,215 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 $0.00197 $0.02215
Opus 5 $0.00098 $0.01107
Sonnet 5 $0.00039 $0.00443
Haiku 4.5 $0.00020 $0.00221

Measured yesterday against content hash 1fbb0e00fe30, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

radical-simplification 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 yesterday.

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.

.agents/skills/radical-simplification/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Radical Simplification — Cognitive Moves for Collapsing Complex Problems

Distillation of the documented working method of mathematicians, physicists, and engineers who consistently turn complex problems into simple solutions. The skill is not a step list — it is a toolbox of cognitive moves, each correcting a specific wrong default a capable model has when faced with complexity. The moves are mostly orthogonal; pick the one that matches the symptom.

This is the thinking layer that sits above refactoring (code-simplifier), metric design (deterministic-metric-design), and reviews (design-review). Those skills apply a methodology to a known shape of artifact. This skill is the methodology itself — how to arrive at the simple shape in the first place.

When to Apply

Use this skill when:

  • The user says the problem feels too complicated, that the team is going in circles, or that there must be a simpler way
  • A proposed design has accreted parameters, dependencies, or branches and feels overengineered
  • A plan has been drafted but unresolved decisions remain, and the agent is about to commit to assumed answers
  • A bug investigation has tried several variants of the same approach without progress
  • A review surfaces complexity that may be accidental (Brooks) rather than essential
  • The agent is asked to find an elegant solution to a hard engineering or product problem
  • Forward search has exhausted and the agent needs a different angle (work backwards, invert, transfer from another domain)
  • The agent is producing fluent-sounding output but cannot back it up under expansion (Feynman test)

This skill is not for cleaning up code that already does the right thing — that is code-simplifier. Use this when the approach itself is what needs to get simpler.

How to Use

The nine categories are orthogonal cognitive moves. Match the move to the symptom:

Symptom Reach for First rule to read
Solving feels off — maybe the wrong problem Frame frame-restate-problem
Plan drafted but unresolved decisions remain Clarify clarify-interview-one-at-a-time
Drowning in cases, parameters, branches Reduce reduce-toy-case-first
Parts are tangled; changes ripple Decompose decomp-orthogonal-axes
Forward search is exponential or stuck Invert invert-work-backwards
Missing the structural truth of the system Constrain constrain-name-the-invariant
Stuck inside the current vocabulary Transfer transfer-cross-domain-analogue
The specific problem keeps resisting Generalize gen-rising-sea
Producing fluent output you cannot back up Audit audit-feynman-technique

Read the full file on GitHub · 116 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. yesterday First seen · 116 lines · 197 tokens per session scan A 1fbb0e00fe30

Subscribe to this mod's changes

radical-simplification is a skill published in the GitHub repository pproenca/dot-skills (200 stars, last pushed 16d ago), licensed MIT. It adds 197 tokens to every session and 2,215 once invoked, about $0.0010 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

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens