Refactor
github/awesome-copilot
Surgical code refactoring to improve maintainability without changing behavior.
A skill your agent uses when scoping a redesign or refactor — choosing which existing surfaces deserve full attention and which can be left mostly alone.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins 80-20-redesign-targeting --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting .claude/skills/80-20-redesign-targeting && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "80-20-redesign-targeting" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting into .claude/skills/80-20-redesign-targeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "80-20-redesign-targeting", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targetingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins 80-20-redesign-targeting --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting .agents/skills/80-20-redesign-targeting && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "80-20-redesign-targeting" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting into .agents/skills/80-20-redesign-targeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "80-20-redesign-targeting", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins 80-20-redesign-targeting --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting .cursor/skills/80-20-redesign-targeting && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "80-20-redesign-targeting" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting into .cursor/skills/80-20-redesign-targeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "80-20-redesign-targeting", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/hashgraph-online/awesome-codex-plugins.git --path plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins 80-20-redesign-targeting --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting .gemini/skills/80-20-redesign-targeting && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "80-20-redesign-targeting" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting into .gemini/skills/80-20-redesign-targeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "80-20-redesign-targeting", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install hashgraph-online/awesome-codex-plugins 80-20-redesign-targetingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting .github/skills/80-20-redesign-targeting && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "80-20-redesign-targeting" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting into .github/skills/80-20-redesign-targeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "80-20-redesign-targeting", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashgraph-online/awesome-codex-plugins 80-20-redesign-targeting --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting .opencode/skills/80-20-redesign-targeting && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "80-20-redesign-targeting" agent skill from https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting into .opencode/skills/80-20-redesign-targeting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "80-20-redesign-targeting", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
80-20-redesign-targetingA skill your agent uses when scoping a redesign or refactor — choosing which existing surfaces deserve full attention and which can be left mostly alone.
80 20 Redesign Targeting is an agent skill from hashgraph-online/awesome-codex-plugins. Use this skill when scoping a redesign or refactor — choosing which existing surfaces deserve full attention and which can be left mostly alone. Trigger when the user asks "where should we focus our redesign?", "do we need to redo all of this?", or when planning incremental design improvements with limited capacity. Sub-aspect of 80-20-rule; read that first.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/redesign-case-patterns.md`).
The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 3e1456a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
80 20 Redesign Targeting loads about 1.3k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 565 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from hashgraph-online/awesome-codex-plugins at commit 3e1456a, republished under its Apache-2.0 licence (© hashgraph-online). 565 words, ~1,304 tokens.
.claude/skills/80-20-redesign-targeting/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.A common failure mode of redesigns: trying to redo everything. The result is years-long projects that ship late, lose institutional context, and arrive in a state no better than incremental updates would have produced. The 80/20 rule applied to redesign: identify the surfaces that produce most of user pain or business value; concentrate redesign effort there; leave the rest alone or batch into a maintenance pass.
Where do users struggle? Sources:
The 80/20 cut: ~20% of surfaces typically account for ~80% of pain.
Where do users actually spend time? A beautiful but rarely-visited page deserves less polish than an ugly but constantly-used one.
Cross-reference traffic with the surface's role: a low-traffic but business-critical surface (Settings → Billing) earns redesign even if traffic alone wouldn't justify it.
Conversion surfaces (sign-up, checkout, upgrade) often punch above their traffic weight. A 5% lift on a low-traffic checkout might exceed a 30% lift on a high-traffic blog.
Some surfaces represent the brand or category position. The marketing home page, the first-run experience, the demo screen for sales. These deserve disproportionate attention because they shape perception of the whole product.
A typical redesign plan that respects 80/20:
Phase 1 (the critical 20% — heavy investment)
- Top 3–5 user-facing surfaces by pain × traffic × business impact
- Full redesign: research, design, build, polish, A/B test
- Often 60–70% of the project budget
Phase 2 (the meaningful tail — moderate investment)
- Next 10–15 surfaces
- Update to new design system; fix obvious issues; don't redesign whole flows
- 20–30% of budget
Phase 3 (the rest — minimal investment)
- All remaining surfaces
- Apply new design system tokens; update components; cosmetic only
- 10% of budget
Phase 4 (revisit)
- Six months in: re-measure. The "rest" that wasn't redesigned might still be performing fine.
- For surfaces that turn out to be problematic, fold into the next cycle.Phases 1–3 ship over the course of the project; Phase 4 is the post-mortem that informs the next cycle.
80-20-rule (parent).80-20-feature-prioritization — applied to new feature planning rather than redesign.iteration (process) — redesigns benefit from iterative releases, not big bangs.factor-of-safety (process) — redesign with safety: A/B test, kill-switch, rollback paths.© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting of hashgraph-online/awesome-codex-plugins.
Open the folder on GitHubat commit 3e1456a
80 20 Redesign Targeting next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| 80 20 Redesign Targeting this skillhashgraph-online/awesome-codex-plugins | 1.3k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Refactorgithub/awesome-copilot | 40k | 6 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Component Refactoringlangflow-ai/langflow | 155k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Openclaw Refactor Docsopenclaw/openclaw | 392k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Code Refactoring Workflowluongnv89/claude-howto | 42k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Refactoring Skill (Vietnamese)luongnv89/claude-howto | 42k | — | ~3.1k | Automated safety check: Pass | MIT |
github/awesome-copilot
Surgical code refactoring to improve maintainability without changing behavior.
langflow-ai/langflow
Refactor high-complexity React components in Langflow frontend.
openclaw/openclaw
Refactor an existing OpenClaw docs page with source-audited preservation, restructuring, and verification.
luongnv89/claude-howto
Guides systematic, test-backed refactoring in the style of Martin Fowler, moving through research, planning and small incremental changes with your approval at each phase.
luongnv89/claude-howto
Vietnamese edition of a systematic refactoring skill based on Martin Fowler's book, working in approved phases with small, test-backed changes.
luongnv89/claude-howto
Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.
hashgraph-online/awesome-codex-plugins
Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.
hashgraph-online/awesome-codex-plugins
Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).
hashgraph-online/awesome-codex-plugins
A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…
hashgraph-online/awesome-codex-plugins
Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…
hashgraph-online/awesome-codex-plugins
Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.
hashgraph-online/awesome-codex-plugins
Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.
A skill your agent uses when scoping a redesign or refactor — choosing which existing surfaces deserve full attention and which can be left mostly alone. 80 20 Redesign Targeting is an agent skill from hashgraph-online/awesome-codex-plugins. Use this skill when scoping a redesign or refactor — choosing which existing surfaces deserve full attention and which can be left mostly alone.
80 20 Redesign Targeting fits situations like: scoping a redesign; refactor — choosing which existing surfaces deserve full attention and which can be left mostly alone; the user asks where should we focus our redesign?; do we need to redo all of this?.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a claude-code`. Or copy the skill folder (plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting in hashgraph-online/awesome-codex-plugins) into .claude/skills/80-20-redesign-targeting in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a codex`. Or copy the skill folder (plugins/HDeibler/universal-design-principles/plugins/cognition-and-learnability-principles/skills/80-20-redesign-targeting in hashgraph-online/awesome-codex-plugins) into .agents/skills/80-20-redesign-targeting in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill 80-20-redesign-targeting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/80-20-redesign-targeting, .gemini/skills/80-20-redesign-targeting, .github/skills/80-20-redesign-targeting and .opencode/skills/80-20-redesign-targeting in your project.
SKILL.md names no scripts, command-line tools or credentials: 80 20 Redesign Targeting is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
80 20 Redesign Targeting is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 709 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with 80 20 Redesign Targeting: Refactor (github/awesome-copilot, 40k stars), Component Refactoring (langflow-ai/langflow, 155k stars), Openclaw Refactor Docs (openclaw/openclaw, 392k stars) and Code Refactoring Workflow (luongnv89/claude-howto, 42k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,267 GitHub stars. The repository holds 716 skills in this directory. The repository was last updated on October 10, 2026.
Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.