Moyu
sickn33/agentic-awesome-skills
Anti-over-engineering guardrail that activates when an AI coding agent expands scope, adds abstractions, or changes files the user did not request.
The engineering bar for this repo — rebuild from first principles rather than patching, the simplicity ladder, what must never be simplified away, and the one-runnable-check rule.
$ npx skills add overmind-core/overmind --skill engineering-taste -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install overmind-core/overmind engineering-taste --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/overmind-core/overmind.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/engineering-taste .claude/skills/engineering-taste && 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 "engineering-taste" agent skill from https://github.com/overmind-core/overmind/tree/main/.agents/skills/engineering-taste into .claude/skills/engineering-taste/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-taste", 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/overmind-core/overmind/tree/main/.agents/skills/engineering-tasteType 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 overmind-core/overmind --skill engineering-taste -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install overmind-core/overmind engineering-taste --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/engineering-taste .agents/skills/engineering-taste && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "engineering-taste" agent skill from https://github.com/overmind-core/overmind/tree/main/.agents/skills/engineering-taste into .agents/skills/engineering-taste/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-taste", 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 overmind-core/overmind --skill engineering-taste -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install overmind-core/overmind engineering-taste --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/engineering-taste .cursor/skills/engineering-taste && 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 "engineering-taste" agent skill from https://github.com/overmind-core/overmind/tree/main/.agents/skills/engineering-taste into .cursor/skills/engineering-taste/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-taste", 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/overmind-core/overmind.git --path .agents/skills/engineering-taste--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 overmind-core/overmind --skill engineering-taste -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install overmind-core/overmind engineering-taste --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/engineering-taste .gemini/skills/engineering-taste && 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 "engineering-taste" agent skill from https://github.com/overmind-core/overmind/tree/main/.agents/skills/engineering-taste into .gemini/skills/engineering-taste/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-taste", 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 overmind-core/overmind engineering-tasteInstalls 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 overmind-core/overmind --skill engineering-taste -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/engineering-taste .github/skills/engineering-taste && 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 "engineering-taste" agent skill from https://github.com/overmind-core/overmind/tree/main/.agents/skills/engineering-taste into .github/skills/engineering-taste/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-taste", 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 overmind-core/overmind --skill engineering-taste -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install overmind-core/overmind engineering-taste --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/overmind-core/overmind.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/engineering-taste .opencode/skills/engineering-taste && 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 "engineering-taste" agent skill from https://github.com/overmind-core/overmind/tree/main/.agents/skills/engineering-taste into .opencode/skills/engineering-taste/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "engineering-taste", 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.
engineering-tasteThe engineering bar for this repo — rebuild from first principles rather than patching, the simplicity ladder, what must never be simplified away, and the one-runnable-check rule.
Engineering Taste is an agent skill from overmind-core/overmind. The engineering bar for this repo — rebuild from first principles rather than patching, the simplicity ladder, what must never be simplified away, and the one-runnable-check rule. Use when designing a change, choosing between approaches, adding a dependency or abstraction, deciding whether to keep a legacy path, or reviewing for over-engineering.
Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Code simplification. The repository describes itself as: The platform for continuously improving AI agents. The licence is AGPL-3.0.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2c65378. 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.
Engineering Taste loads about 810 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 467 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 overmind-core/overmind at commit 2c65378, republished under its AGPL-3.0 licence (© overmind-core). 467 words, ~810 tokens.
.claude/skills/engineering-taste/SKILL.md (or your agent's skills folder).Efficient, not careless. The best code is the code never written.
The platform has no real users yet. A request to change something is a request to
build it the right way from first principles — not to add a tweak beside the wrong
shape. Core code logic and tests owe nothing to backwards compatibility in almost
every case: delete the old path rather than keeping it alive behind a flag, a
shim, an _v2 name, or an "if legacy" branch.
Two things do carry forward, because production and staging hold real state:
The codebase is already bloaty. A change that leaves both the old and the new way standing has made it worse, however small the diff looked. Removing the old path is part of the change, not a follow-up.
Before writing any code, stop at the first rung that holds:
A change is finished when every surface that reflects it has been updated, not when the vertical it started in compiles. Before calling anything done, check what else reads the thing you changed — the pr-etiquette skill lists the specific surfaces that get missed here.
Input validation at trust boundaries. Error handling that prevents data loss. Security. Accessibility. The calibration real hardware needs — the platform is never the spec ideal, a clock drifts, a sensor reads off. Anything explicitly requested.
Follow the testing policy in AGENTS.md. Non-trivial logic needs runnable behavior verification; use the existing E2E flow and record its artifact. Do not create a per-function test or self-check merely because code was added.
A deliberate shortcut with a known limit — a global lock, an O(n²) scan, a naive heuristic, a fixed page cap — is worth one comment, and only if it names both the ceiling and the upgrade path. A shortcut with no ceiling to name needs no comment at all. See the code-comments skill.
© overmind-core, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/engineering-taste of overmind-core/overmind.
Open the folder on GitHubat commit 2c65378
Engineering Taste 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 |
|---|---|---|---|---|---|---|
| Engineering Taste this skillovermind-core/overmind | 544 | — | ~810 | Automated safety check: Pass | AGPL-3.0 | |
| Moyusickn33/agentic-awesome-skills | 47k | 2 repos | ~2.8k | Automated safety check: Pass | MIT | |
| PonytailDavidObando/gsharp | 564 | 8 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Ponytail Reviewkortix-ai/suna | 20k | 4 repos | ~593 | Automated safety check: Pass | Custom licence | |
| Code Simplification for ego-litecitrolabs/ego-lite | 17k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Anti-over-engineering guardrail that activates when an AI coding agent expands scope, adds abstractions, or changes files the user did not request.
DavidObando/gsharp
Forces the laziest solution that actually works, simplest, shortest, most minimal.
kortix-ai/suna
Code review focused exclusively on over-engineering. An agent skill from kortix-ai/suna.
citrolabs/ego-lite
Finds and implements evidence-backed simplifications in the ego-lite repository, such as dead code, duplicated state and speculative abstractions, without hiding behavior changes.
microsoft/skills
Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.
star-history/star-history
Perform a refactor pass focused on simplicity after recent changes. Use when the user asks for a refactor/cleanup pass, simplification, or dead-code removal…
overmind-core/overmind
End-to-end workflow for adding or changing a backend API endpoint — which module the serializer and view belong in, URL registration, OpenAPI client regeneration, and typed consumption from the…
overmind-core/overmind
Rules for adding a new model or model family to the finetuning pipeline, or changing finetuning behavior for an existing one — engine-agnostic customization via family hooks instead of if/else in…
overmind-core/overmind
Overmind Console design system — semantic tokens, shared primitives, geometry and icons, the border-contrast floor, the duplicated table implementations, and the verification scripts.
overmind-core/overmind
End-to-end workflow for adding or changing Overmind MCP tools, resources, prompts, authentication, or result contracts — server layers, catalog registration, MCP-impact classification, and required…
overmind-core/overmind
How to open a complete pull request on overmind-core/overmind — the CI gates, the cross-cutting surfaces a change must carry with it (MCP, blast radius, the docs repo), gh pr edit being broken here…
overmind-core/overmind
Run or modify the seeddemo management command (the one-project Support Copilot demo) without breaking the beat-safety invariants that keep celery workers from re-driving seeded rows.
Categories
The engineering bar for this repo — rebuild from first principles rather than patching, the simplicity ladder, what must never be simplified away, and the one-runnable-check rule. Engineering Taste is an agent skill from overmind-core/overmind. The engineering bar for this repo — rebuild from first principles rather than patching, the simplicity ladder, what must never be simplified away, and the one-runnable-check rule.
Engineering Taste fits situations like: designing a change; choosing between approaches; adding a dependency; deciding whether to keep a legacy path.
Run `npx skills add overmind-core/overmind --skill engineering-taste -a claude-code`. Or copy the skill folder (.agents/skills/engineering-taste in overmind-core/overmind) into .claude/skills/engineering-taste in your project. Claude Code loads it when a task matches its description.
Run `npx skills add overmind-core/overmind --skill engineering-taste -a codex`. Or copy the skill folder (.agents/skills/engineering-taste in overmind-core/overmind) into .agents/skills/engineering-taste 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 overmind-core/overmind --skill engineering-taste -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/engineering-taste, .gemini/skills/engineering-taste, .github/skills/engineering-taste and .opencode/skills/engineering-taste in your project.
SKILL.md names no scripts, command-line tools or credentials: Engineering Taste 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.
Engineering Taste is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 810 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Engineering Taste: Moyu (sickn33/agentic-awesome-skills, 47k stars), Ponytail (DavidObando/gsharp, 564 stars), Ponytail Review (kortix-ai/suna, 20k stars) and Code Simplification for ego-lite (citrolabs/ego-lite, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
overmind-core (a GitHub organization) maintains it in overmind-core/overmind, which has 544 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on October 6, 2026.
Source: overmind-core/overmind on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.