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SKILL.md simplification with functional integrity verification. Analyze redundancy, optimize content, check no functionality lost. Triggers on "simplify skill", "optimize skill", "skill-simplify".

From plugin
maestro-flow
57524 skills29 agents18 commands3 MCP

Claude Code

$ npx -y skills add catlog22/maestro-flow --skill skill-simplify --agent claude-code

SKILL.md

skill-simplify.SKILL.md
name: skill-simplify
disable-model-invocation: true
description: SKILL.md simplification with functional integrity verification. Analyze redundancy, optimize content, check no functionality lost. Triggers on "simplify skill", "optimize skill", "skill-simplify".
allowed-tools: AskUserQuestion, Read, Write, Edit, Bash, Glob, Grep
session-mode: none

Skill Simplify

Three-phase pipeline: analyze functional inventory, apply optimization rules, verify integrity.

**Phase Reference Documents** (read on-demand):

| Phase | Document | Purpose | |-------|----------|---------| | 1 | [phases/01-analysis.md](phases/01-analysis.md) | Extract functional inventory, identify redundancy, validate pseudo-code format | | 2 | [phases/02-optimize.md](phases/02-optimize.md) | Apply simplification rules, fix format issues | | 3 | [phases/03-check.md](phases/03-check.md) | Verify functional integrity, validate format |

Pre-load (before execution)

1. **Codebase docs**: If `.workflow/codebase/ARCHITECTURE.md` exists, read for project context 2. **Specs**: `maestro load --type spec --category coding` — load coding conventions 3. **Wiki knowledge**: `maestro search "skill design optimization" --json` — top 5 entries as prior context 4. All optional — proceed without if unavailable

Input Processing

const targetPath = input.trim()
const targetFile = targetPath.endsWith('.md') ? targetPath : `${targetPath}/SKILL.md`
const originalContent = Read(targetFile)
const originalLineCount = originalContent.split('\n').length

TodoWrite Pattern

TodoWrite({ todos: [
  { content: `Phase 1: Analyzing ${targetFile}`, status: "in_progress", activeForm: "Extracting functional inventory" },
  { content: "Phase 2: Optimize", status: "pending" },
  { content: "Phase 3: Integrity Check", status: "pending" }
]})

Core Rules

1. **Preserve ALL functional elements**: Code blocks with logic, agent calls, data structures, routing, error handling, input/output specs 2. **Only reduce descriptive content**: Flowcharts, verbose comments, duplicate sections, examples that repeat logic 3. **Never summarize algorithm logic**: If-else branches, function bodies, schemas must remain verbatim 4. **Classify code blocks**: Distinguish `functional` (logic, routing, schemas) from `descriptive` (ASCII art, examples, display templates) — only descriptive blocks may be deleted 5. **Merge equivalent variants**: Single/multi-perspective templates differing only by a parameter → one template with variant comment 6. **Fix format issues**: Nested backtick template literals in code fences → convert to prose; hardcoded option lists → flag for dynamic generation; workflow handoff references → ensure execution steps present 7. **Validate pseudo-code**: Check bracket matching, variable consistency, structural completeness 8. **Quantitative verification**: Phase 3 counts must match Phase 1 counts for functional categories; descriptive block decreases are expected

Error Handling

| Error | Resolution | |-------|------------| | Target file not found | Report error, stop | | Check FAIL (missing functional elements) | Show delta, revert to original, report which elements lost | | Check WARN (descriptive decrease or merge) | Show delta with justification | | Format issues found | Report in check, fix in Phase 2 |

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@catlog22
Ships withmaestro-flow

Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more

57524 skills29 agents3 MCP
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Stars on GitHub

Momentum

stars in total
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Star history of catlog22/maestro-flow on GitHub, a chart by star-history.com

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Questions about skill-simplify.

Which coding agents can use skill-simplify?
skill-simplify installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.