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Agent Skill

Refactor skill

refactorcode-yeongyu/oh-my-openagentpackages/shared-skills/skills/refactor/SKILL.md

Guides a refactor, cleanup, or restructure with the right decomposition. Use when the user asks to refactor, simplify, extract, or modernize code.

70k

always on

35 tokname + description

once used

6,413 tokSKILL.md body

bundled files

0

repo stars

70kGitHub

Install the Refactor skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/code-yeongyu/oh-my-openagent --skill refactor

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/code-yeongyu/oh-my-openagent.git /tmp/oh-my-openagent
mkdir -p ~/.claude/skills
cp -R /tmp/oh-my-openagent/packages/shared-skills/skills/refactor ~/.claude/skills/refactor

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description35 tok
When the agent uses itThe SKILL.md instructions6,413 tok
Only if openedNo bundled files—

Until it is used, refactor costs about 39× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 60 skills from code-yeongyu/oh-my-openagent would load 5,128 tokens of descriptions. Skills vs MCP study

Checks

  • The instructions are over 5,000 tokens, the Agent Skills specification's guideline for SKILL.md.
  • The instructions are over 500 lines; the specification suggests moving detail into reference files.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Usage
  • What This Command Does
  • PHASE 0: INTENT GATE (MANDATORY FIRST STEP)
  • Step 0.1: Parse Request Type
  • Step 0.2: Validate Understanding
  • Step 0.3: Create Initial Todos
  • PHASE 1: CODEBASE ANALYSIS (PARALLEL EXPLORATION)
  • 1.1: Launch Parallel Explore Agents (BACKGROUND)
  • 1.2: Direct Tool Exploration (WHILE AGENTS RUN)
  • LSP Tools for Precise Analysis:
  • AST-Grep Skill for Pattern Analysis:
  • Preview refactoring first
  • Grep for Text Patterns:
  • 1.3: Collect Background Results
  • PHASE 2: BUILD CODEMAP (DEPENDENCY MAPPING)
  • 2.1: Construct Definitive Codemap
  • CODEMAP: [TARGET]
  • Core Files (Direct Impact)
  • Dependency Graph
  • Impact Zones
  • Established Patterns
  • 2.2: Identify Refactoring Constraints
  • PHASE 3: TEST ASSESSMENT (VERIFICATION STRATEGY)
  • 3.1: Detect Test Infrastructure

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  1. ast-grepcode-yeongyu/oh-my-openagent

    Searches and rewrites code by AST shape across 25 languages. Use when the target is a syntax pattern (every call/class/import shaped like X, a codemod, a YAML rule) rather than literal text; for plain strings, comments, or filenames, use rg.

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  2. browsercode-yeongyu/oh-my-openagent

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  3. codex-qacode-yeongyu/oh-my-openagent

    QA the omo Codex Light edition (lazycodex / packages/omo-codex) itself, in strict isolation so ONLY our plugin is exercised, never the user's real ~/.codex. The first-party method drives the real `codex app-server` against an isolated CODEX_HOME plus a LOCAL mock model (no real API call), and proves a plugin hook fired by asserting hook/started + hook/completed notifications. Also: isolated install verification, per-component hook probes, a tmux TUI smoke, and runtime log observation (RUST_LOG / logs SQLite / /debug-config). Ships tested helper scripts each with a --self-test. Use whenever someone changes anything under packages/omo-codex or wants to QA, smoke-test, verify, or debug the Codex plugin, its hooks/components, the installer/config.toml, the app-server flow, or the Codex TUI. Triggers: codex qa, qa codex, codex-qa, test codex plugin, verify codex hook, codex app-server, lazycodex qa, isolated CODEX_HOME, prove codex hook fired, codex tui test.

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  4. coding-agent-sessionscode-yeongyu/oh-my-openagent

    Finds, reads, and reconstructs coding-agent sessions across Codex, Claude, OpenCode, OMO/Senpi, and other local agent logs. Use when asked to find or search past sessions, transcripts, or subagent runs, or to recover what an earlier session did.

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  5. comment-checkercode-yeongyu/oh-my-openagent

    Use when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.

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  6. dag-librarycode-yeongyu/oh-my-openagent

    Stores a DAG definition once and re-runs it by name, instead of pasting the definition into every run. Use when the user wants to save a DAG, run a saved one, or schedule the same multi-agent graph repeatedly.

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  7. data-scientistcode-yeongyu/oh-my-openagent

    Processes and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or plotting a dataset.

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  8. debuggingcode-yeongyu/oh-my-openagent

    Runs a hypothesis-driven debugging loop across any language or binary, escalating to orthogonal oracle angles and locking the fix with a failing test. Use for crashes, silent failures, hangs, wrong responses, memory leaks, async misbehavior, or reverse engineering.

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