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Simplify

Use this skill to simplify a file, tool, subsystem, or codebase. It maps callers and other dependencies, identifies duplication and unused parts with evidence, then checks that relied-on behavior still works after approved cuts.

OriginalShow the original description

Research-first simplification of any file, skill, tool, subsystem or codebase against its ideal state: reads its ISA or derives its purpose, maps every dependent (callers, imports, references, hooks, settings, docs, tests), classifies each element with evidence as load-bearing, duplicate, dead, cruft or over-abstracted, then proposes and applies cuts that keep every behaviour a dependent relies on, proven by before-and-after parity checks. USE WHEN simplify, simplify this, simplify this system, remove cruft, remove duplication, dedupe, dead code, clean this up, this has gotten bloated, too complicated, reduce complexity, consolidate, strip this down without breaking it, what can we delete. NOT FOR always-on context files (Trim), cleanup of just the current diff (/simplify), harmony across many systems (Unify), auditing prompt rules for over-prompting (BitterLessonEngineering), bug hunting (/code-review).

danielmiessler/LifeOS19,635 stars(GitHub 19,635 + cccskills 0)

Run score Not tested

See how to install

Good for

  • Finding safe deletions in a codebase
  • Removing duplication across related files
  • Reducing complexity without losing relied-on behavior
  • Reviewing a subsystem before making cuts

Overview

What it does

Simplify helps reduce the size and complexity of a file, skill, tool, subsystem, or repository. It first establishes the target’s purpose and maps dependencies such as callers, imports, references, settings, documentation, and tests. It classifies elements with supporting evidence as essential, duplicated, unused, accumulated clutter, or over-abstracted. Based on that survey, it proposes ranked changes. Only changes you approve are applied, and baseline checks run before and after to see whether behavior that other parts rely on still works. Work can stop after the survey, after proposals, or continue to applying approved changes.

When it helps

Use it when a codebase or tool has become complex, when you want to find what can be removed, or when you need to understand a subsystem before changing it. The review uses references and behavior checks rather than appearance alone to judge whether something is unnecessary.

Example requests

  • “Map this tool’s dependencies and propose ways to simplify it.”
  • “Survey this subsystem for safe deletion candidates.”
  • “Apply proposals 1, 2, and 4; skip 3.”

Notes

Applying changes requires approval of the proposals. Survey, proposal, and application records are saved near the target under LIFEOS/MEMORY/WORK/{slug}/simplify/.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Document check

AI checked the SKILL.md for operations that need care and for setup requirements. The score comes only from actually running the skill (hands-on test).

SafetyAre sending data, deleting files, and running commands disclosed?
AGoodSpecific proposals require approval, with separate approval for irreplaceable deletions.
Easy setupDoes it need few tools or API keys, and are they documented?
AGoodIt explicitly requires no configuration, account, or key and identifies its record location.

Not counted in the score. Rated by AI (OpenAI Codex) as of Oct 28, 2026. Treat it as a guide and read the original before installing.

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Files included (4)

  • SKILL.md4.7 KB
  • Intents/Apply.md2.6 KB
  • Intents/Propose.md2.7 KB
  • Intents/Survey.md3.6 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Simplify

Simplify makes a target smaller and clearer without breaking anything that depends on it. A target can be a file, a skill, a tool, a subsystem or a whole repo. The work comes in three intents, each building on the record from the one before: Survey maps the target read-only, Propose ranks the cuts and holds them for a yes, and Apply lands the approved cuts with proven parity. The central rule: a cut never drops a behaviour that a dependent or ISA criterion relies on, and anything the evidence cannot explain stays. Records sit next to the target's ISA when there is one.

Ideal State

  • The target ends smaller and clearer, and every behaviour a dependent or ISA criterion relies on still works, shown by the same baseline checks passing before and after.
  • No element is cut on looks: each cut rests on a survey finding with its searches cited, and anything the evidence cannot explain stays.
  • Nothing changes until the principal approves the specific rows, and a delete of irreplaceable content gets its own yes.
  • Each stage leaves its record under LIFEOS/MEMORY/WORK/{slug}/simplify/, so the next stage builds on evidence rather than on memory.

Intent Routing

IntentTriggerFile
Survey"simplify X", "what can we delete", "map this before we cut", "is this dead"Intents/Survey.md
Propose"what would you cut", "propose the simplifications", follows Survey in the same runIntents/Propose.md
Apply"apply them", "y" or approved row numbers after a proposalIntents/Apply.md

A bare "simplify X" runs Survey and then Propose, and stops at the proposal. A Survey-only request, which is how a read-only analysis calls this skill, stops at the survey.

Data & Config

None. This skill reads no config and needs no account or key. Each stage writes its record under LIFEOS/MEMORY/WORK/{slug}/simplify/ next to the target's ISA, if it has one; nothing else is created.

Gotchas

  • Zero code-search hits does not mean dead. LifeOS calls a great deal of code by string: hook registrations in settings.json, launchd plists, workflow YAML, skill routing tables, spawned commands and dynamic imports. ReferenceCheck.ts --shipped-paths exists because plain path scans missed spawn and dynamic-import specifiers.
  • The file can change mid-run. Memory loops and peer sessions write to the same trees. A file edited after its survey is re-read before it is touched (Trim, where a concurrent deploy-command fix was nearly reverted).

Examples

Example 1: Simplify a tool

User: "simplify LIFEOS/TOOLS/ReferenceCheck.ts"
→ Survey intent, then Propose
→ Purpose from its header and DocCheck lineage, every caller, findings per function, test baseline
→ A ranked table of cuts, each with its parity check, held for y

Example 2: Land the approved cuts

User: "y, but skip 4"
→ Apply intent
→ Rows 1–3 and 5 land as separate commits, tests show the same pass count before and after, and the measured reduction sits beside the estimate

Example 3: An always-on context file

User: "simplify CLAUDE.md"
→ Routed to Trim, which owns always-on context files and their directive-coverage gate

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