ai-skills
Curated collection of agent skills for AI coding assistants.
Install / Use
npx skills add iliaal/ai-skillsInstalls into whichever agent you are using.
Other
Other agent config
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of ai-skills
ai-skills scores 84/100 on our quality scale, 2799th of 4,613 Development & Engineering skills we index.
Its Other is 15 KB long, well organised into 27 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.
It has 45 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 5 days ago, so ai-skills is actively maintained.
- Our last check on 2026-10-21 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
ai-skills compared with similar skills
All 4 of these similar skills score higher than ai-skills; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ai-skills (this skill)by iliaal | 84 | 45 | 5d ago | Other |
| taste-skillby Leonxlnx | 100 | 110.6k | 1d ago | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 69.8k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 46.6k | 2d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 44d ago | SKILL.md |
Frequently asked questions
- How do I install ai-skills?
- Run
npx skills add iliaal/ai-skills. The install tabs above show the steps for each supported agent. - Which AI agents does ai-skills work with?
- It is written for Claude Code, as a Other file. Other agents that read the same format can often use it too.
- Is ai-skills safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is ai-skills still maintained?
- The repository was last updated 5 days ago, so ai-skills is actively maintained.
Skill content
View source on GitHubAI Skills

Compact, opinionated skills that change how AI coding agents behave. Behavioral rules that enforce discipline and catch mistakes, triggered by what you're working on. Works with 35+ agents through one install command.
Note: This repo is a read-only mirror of skills from the whetstone plugin. Edits happen upstream; this repo exists for distribution via
npx skills add.
The Problem
AI coding agents skip planning, claim "done" without verifying, patch symptoms over root causes, and forget what they learned when context resets. The output looks polished. The behavior underneath is undisciplined.
The long-form argument is at AI Agents Don't Lack Capability. They Lack Process.. These skills are the portable enforcement layer.
🚀 Install
On Claude Code? Use the full plugin instead.
The whetstone plugin is the recommended path on Claude Code. It bundles these skills plus 19 specialized agents, 22 workflow commands, an MCP server, and skill-injection hooks for subagents. Skills alone do behavioral discipline; the full plugin orchestrates entire workflows.
/plugin marketplace add https://github.com/iliaal/whetstone
/plugin install whetstone@iliaal-marketplace
/reload-plugins
Any other agent
# All skills
npx skills add iliaal/ai-skills
# Single skill
npx skills add iliaal/ai-skills -s code-review
Platform-specific
# Cursor
npx skills add iliaal/ai-skills -a cursor
# Codex
npx skills add iliaal/ai-skills -a codex
# Gemini CLI
npx skills add iliaal/ai-skills -a gemini
# GitHub Copilot CLI
npx skills add iliaal/ai-skills -a copilot
# Claude Code (skills only, no plugin)
npx skills add iliaal/ai-skills -a claude-code
Works with Claude Code, Cursor, Codex, Gemini CLI, GitHub Copilot CLI, OpenCode, OpenClaw, Kilo Code, and 35+ other agents.
✨ Skills
Architecture & design
| Skill | Description | |-------|------------| | agent-native-architecture | Enforces a 15-area architecture checklist for systems where AI agents are primary actors: tool design, execution patterns, context injection, approval gates, audit trails. Use when designing agent systems or MCP tools. | | frontend-design | Requires a design philosophy statement before code, detects existing design systems to match, and bans AI design cliches (purple-to-blue gradients, Space Grotesk, three-card hero layouts). Calibrates output via variance, motion, and density parameters. Use when visual identity matters. | | simplifying-code | Declutters code without changing behavior. Targets AI slop: redundant comments, unnecessary defensive checks, over-abstraction, verbose stdlib reimplementations. Applies changes in priority order and stops before touching public APIs. Use when code needs cleanup after AI generation or accumulated complexity. |
Development
| Skill | Description |
|-------|------------|
| react-frontend | Decision tree routing most "should I use an effect?" questions to non-effect solutions. Separates state tools by purpose (Zustand for client, React Query for server, nuqs for URL). Enforces React 19 patterns, App Router server/client boundaries, and flags that Server Actions are public endpoints. Use for React, Next.js, and Vitest/RTL testing. |
| nodejs-backend | Strict layered architecture (routes > services > repos) with no cross-layer HTTP imports. Contract-first API design using Zod schemas as the single source of truth. Production patterns like circuit breaker and load shedding as requirements, not suggestions. Use for Express, Fastify, Hono, or NestJS backends. |
| python-services | Mandates modern tooling (uv, ruff, ty) over legacy equivalents. Structured concurrency via asyncio.TaskGroup, idempotent background jobs, and structured JSON logging with correlation IDs via contextvars. Use for Python CLI tools, FastAPI services, async workers, or new project setup. |
| php-laravel | declare(strict_types=1) everywhere, PHPStan level 8+, fat models / thin controllers, Form Requests with toDto(), event-driven side effects. Prevents N+1 by disabling lazy loading in dev. Defaults to feature tests through the full HTTP stack. Use for Laravel codebases. |
| rust-systems | Edition 2024, workspace layout with inward-only deps, thiserror in libraries / anyhow in binaries, no unwrap/expect outside main and tests, every unsafe block needs a // SAFETY: comment. Tokio patterns (JoinSet, CancellationToken, bounded mpsc) and axum service layout. Use for Rust CLIs, axum services, or cargo workspaces. |
| pinescript | Prevents silent TradingView errors (ternary formatting, plot() scope restrictions), enforces barstate.isconfirmed to avoid repainting, requires walk-forward validation over pure backtesting. Flags indicator stacking and overfitted parameters. Use for Pine Script v6. |
| tailwind-css | Enforces v4's CSS-first config model (@theme, @utility, @custom-variant directives). Provides a v3-to-v4 breaking changes table. Prohibits dynamic class construction, mandates gap over space-x, size-* over paired w-*/h-*. Use when styling with Tailwind v4 or migrating from v3. |
Infrastructure
| Skill | Description |
|-------|------------|
| postgresql | BIGINT GENERATED ALWAYS AS IDENTITY over SERIAL, TIMESTAMPTZ over TIMESTAMP, indexes on every FK (Postgres doesn't auto-create them). Includes an unindexed FK detection query and mandates EXPLAIN (ANALYZE, BUFFERS) before any optimization claim. Use for schema design, query tuning, RLS, or partitioning. |
| terraform | Specific file organization, for_each over count to prevent recreation on reordering, remote state with locking, moved blocks for renames, and four-tier testing (validate > tflint > plan tests > integration). Use for Terraform or OpenTofu. |
| linux-bash-scripting | set -Eeuo pipefail as foundation, EXIT traps for cleanup, printf over echo, arrays over eval, local separated from assignment. Production templates for atomic writes, retry with backoff, and script locking. Use for any Bash script meant for production. |
Testing & quality
| Skill | Description |
|-------|------------|
| writing-tests | DAMP over DRY, test cases from user journeys not implementation details, real objects over mocks (mocks only at system boundaries). Requires red-green cycles for bug fix tests. Includes a 13-excuse Rationalization Table for when you're tempted to skip tests. Works with any language. |
| code-review | Two-pass review: spec compliance first, then code quality. Every finding gets a confidence score and lands in auto-fix or ask-human buckets. Auto-escalates to multi-agent deep review when 3+ complexity signals appear. Checks scope drift against the PR's stated intent. Use for PR reviews and code audits. |
| receiving-code-review | Verify-before-implement for every comment. Different skepticism levels by source: maximum for automated agents, trusted-but-verified for project owners. Requires evidence when pushing back. Prohibits performative agreement. Use when processing review feedback on your code. |
| debugging | The Iron Law: no fix until root cause is identified with file:line evidence two levels deep. Reproduction before investigation, one-change-at-a-time hypothesis testing, failing test before the fix. Escalates after 3 failed attempts instead of continuing to guess. |
| verification-before-completion | Five-step gate before any "done" claim: Identify, Run, Read, Verify, Claim. No reusing prior results. Catches "zero issues on first pass" as a red flag. Usually activates automatically from other skills. |
| planning | Three ceremony levels: full .plan/ directory for multi-file work, inline checklist for 3-5 files, skip for single-file edits. Tasks must be verb-first, atomic, and name specific file paths. Phases capped at 5-8 files in vertical slices. Use proactively before non-trivial coding. |
Content & workflow
| Skill | Description |
|-------|------------|
| brainstorming | Hard gate: no code until a design doc is approved. Reads the codebase first, interviews one question at a time, proposes 2-3 named approaches with trade-offs, saves a structured doc to docs/brainstorms/. Use when requirements are vague or multiple valid interpretations exist. |
| compound-docs | Auto-triggers after "that worked" to capture solutions before context is lost. Validates frontmatter, checks for duplicates, detects recurring patterns when 3+ similar issues appear. Use after resolving non-trivial bugs to build searchable institutional knowledge. |
| document-review | Activates specialized lenses (Product, Design, Security, Scope Guardian, Adversarial) based on document signals. Scores on four criteria, identifies one critical improvement, and optionally dispatches a fresh-eyes sub-agent. Use before sharing specs or handing brainstorms to planning. |
| writing | Kill-on-sight list of AI vocabulary (delve, crucial, leverage, robust...) and structural tells (forced triads, sycophantic openers). Five-dimension scoring rubric; anything below 35/50 gets revised. Use for prose: blog posts, PR descriptions, docs, changelogs. |
| git-worktree | Routes all operations through a manager script handling .env copying, .gitignore updates, and dependency installation. Detects execution context and adapts. Use for parallel feature development or isolated reviews. |
| md-docs | Treats AGENTS.md as the canonical context file. Verifies every factual claim against the actual codebase before writing. Use when project documentation is stale, missing, or needs initialization. |
| file-todos | File-based task tracking with structured YAML frontmatter and naming conventions. Distinct from in-session memory and application-level models. Use when you need persistent, human-and-agent-readable todo files with dependency tracking. |
| reflect | Scans the full conversation for mistakes, friction, and wins, citing specific exchanges. Proposes ranked improvements and audits skills used in the session for token efficiency. Use at the end of a session to capture lessons learned. |
AI & prompting
| Skill | Description |
|-------|------------|
| meta-prompting | Reasoning patterns via slash commands: /verify adds challenge-and-verify, /adversarial generates ranked counterarguments, /edge enumerates break scenarios, /confidence assigns per-claim scores. Some auto-trigger in context. Use when stress-testing decisions or surfacing hidden assumptions. |
| refine-prompt | Assesses against a six-element checklist (task, constraints, format, context, examples, edge ca
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
