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PageAI-Pro/ralph-loop

A long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion.

Claude Code Codex Engineering

History

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View on GitHub Add to my skills

Verified commit eba65ebbb0a78c4a7fd25aab28e94966eddbca5b

Version-pinned installation · Claude Code

git clone --filter=blob:none --no-checkout https://github.com/PageAI-Pro/ralph-loop.git .hotskills/pageai-pro-ralph-loop && git -C .hotskills/pageai-pro-ralph-loop checkout --detach eba65ebbb0a78c4a7fd25aab28e94966eddbca5b
# Copy each selected skill directory from .hotskills/pageai-pro-ralph-loop into .claude/skills/<skill-name>/

Version-pinned installation · Codex

git clone --filter=blob:none --no-checkout https://github.com/PageAI-Pro/ralph-loop.git .hotskills/pageai-pro-ralph-loop && git -C .hotskills/pageai-pro-ralph-loop checkout --detach eba65ebbb0a78c4a7fd25aab28e94966eddbca5b
# Copy each selected skill directory from .hotskills/pageai-pro-ralph-loop into .agents/skills/<skill-name>/

337GitHub stars

2stars in 7 days

11skills in this repository

0commits in 30 days

Heat

2.4

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Individual skills in this repository

component-refactoring .agent/skills/component-refactoring
e2e-tester .agent/skills/e2e-tester
frontend-code-review .agent/skills/frontend-code-review
frontend-testing .agent/skills/frontend-testing
mysql .agent/skills/mysql
postgres .agent/skills/postgres
prd-creator .agent/skills/prd-creator
skill-creator .agent/skills/skill-creator
vercel-react-best-practices .agent/skills/vercel-react-best-practices
vitest-best-practices .agent/skills/vitest-best-practices
web-design-guidelines .agent/skills/web-design-guidelines

How it works

Choose a skill

component-refactoring

When your agent uses it

Refactor high-complexity React components in frontend. Use when the user asks for code splitting, hook extraction, or complexity reduction, or when you come across a component that is too complex to understand and refactor it.

What it loads into context

Frontmatter

53 tokens

Always available to the agent

SKILL.md

1,785 tokens

When the skill is activated

Reference documents

7,474 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Core Refactoring Patterns
Common Mistakes to Avoid
References

Files

SKILL.mdcore7,192 bytes
references/complexity-patterns.mddoc11,773 bytes
references/component-splitting.mddoc10,160 bytes
references/hook-extraction.mddoc8,494 bytes

Read SKILL.md


# Component Refactoring Skill

Refactor high-complexity React components with the patterns and workflow below.

## Core Refactoring Patterns

### Pattern 1: Extract Custom Hooks

**When**: Component has complex state management, multiple `useState`/`useEffect`, or business logic mixed with UI.

**Dify Convention**: Place hooks in a `hooks/` subdirectory or alongside the component as `use-<feature>.ts`.

```typescript
// ❌ Before: Complex state logic in component

View the complete source on GitHub

e2e-tester

When your agent uses it

Playwright E2E testing patterns. Trigger: When writing Playwright E2E tests (Page Object Model, selectors, MCP exploration workflow).

What it loads into context

Frontmatter

89 tokens

Always available to the agent

SKILL.md

4,262 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

MCP Workflow (MANDATORY If Available)
Waiting Strategies (CRITICAL)
File Structure
Selector Priority (REQUIRED)
Scope Detection (ASK IF AMBIGUOUS)
Page Object Pattern
Page Object Reuse (CRITICAL)
Refactoring Guidelines
Test Pattern with Tags
Test Documentation Format ({page-name}.md)
Authentication State Reuse
API Mocking
Test Fixtures
Parallel Execution
Assertions
Common Pitfalls
Mobile & Viewport Testing
Debugging & Traces
CI/CD Configuration
Running Tests (PREFER PARTIAL RUNS)
Partial String Matching (CRITICAL for Robustness)

Files

SKILL.mdcore17,468 bytes
SKILL.mdcore17,468 bytes
SKILL.mdcore17,468 bytes
SKILL.mdcore17,468 bytes

Read SKILL.md


Before you start:
- check if any existing tests cover the functionality you are testing
- check if a unit tests can cover the feature better
- analyze if a end to end test brings any value over a unit test

If the answer is yes to any of the above, proceed with the end to end test creation.

## MCP Workflow (MANDATORY If Available)

**⚠<U+FE0F> If you have Playwright MCP tools, ALWAYS use them BEFORE creating any test:**

1. **Navigate** to target page
2. **Take snapshot** to see page structure and elements
3. **Interact** with forms/elements to verify exact user flow

View the complete source on GitHub

frontend-code-review

When your agent uses it

Trigger when the user requests a review of frontend files (e.g., `.tsx`, `.ts`, `.js`). Support both pending-change reviews and focused file reviews while applying the checklist rules.

What it loads into context

Frontmatter

47 tokens

Always available to the agent

SKILL.md

597 tokens

When the skill is activated

Reference documents

332 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Intent
Checklist
Review Process
Required output

Files

SKILL.mdcore2,787 bytes
references/code-quality.mddoc951 bytes
references/performance.mddoc634 bytes

Read SKILL.md


# Frontend Code Review

## Intent
Use this skill whenever the user asks to review frontend code (especially `.tsx`, `.ts`, or `.js` files). Support two review modes:

1. **Pending-change review** – inspect staged/working-tree files slated for commit and flag checklist violations before submission.
2. **File-targeted review** – review the specific file(s) the user names and report the relevant checklist findings.

Stick to the checklist below for every applicable file and mode.

## Checklist
See [references/code-quality.md](references/code-quality.md), [references/performance.md](references/performance.md), for the living checklist split by category—treat it as the canonical set of rules to follow.

Flag each rule violation with urgency metadata so future reviewers can prioritize fixes.

View the complete source on GitHub

frontend-testing

When your agent uses it

Generate Vitest + React Testing Library tests for frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.

What it loads into context

Frontmatter

52 tokens

Always available to the agent

SKILL.md

2,297 tokens

When the skill is activated

Reference documents

9,970 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

When to Apply This Skill
Quick Reference
Test Structure Template
Testing Workflow (CRITICAL)
Testing Strategy
Core Principles
Required Test Scenarios
Coverage Goals (Per File)
Detailed Guides

Scripts executed separately

assets/component-test.template.tsx
assets/hook-test.template.ts
assets/utility-test.template.ts

Files

SKILL.mdcore10,214 bytes
SKILL.mdcore10,214 bytes
SKILL.mdcore10,214 bytes
assets/component-test.template.tsxruns11,859 bytes
assets/hook-test.template.tsruns6,778 bytes
assets/utility-test.template.tsruns5,147 bytes
references/async-testing.mddoc8,463 bytes
references/checklist.mddoc5,543 bytes
references/common-patterns.mddoc11,558 bytes
references/mocking.mddoc7,269 bytes
references/workflow.mddoc8,029 bytes

Read SKILL.md


This skill enables Claude to generate high-quality, comprehensive frontend tests following established conventions and best practices.

## When to Apply This Skill

Apply this skill when the user:

- Asks to **write tests** for a component, hook, or utility
- Asks to **review existing tests** for completeness
- Mentions **Vitest**, **React Testing Library**, **RTL**, or **spec files**
- Requests **test coverage** improvement
- Mentions **testing**, **unit tests**, or **integration tests** for frontend code
- Wants to understand **testing patterns** in the frontend codebase

**Do NOT apply** when:

View the complete source on GitHub

mysql

When your agent uses it

Plan and review MySQL/InnoDB schema, indexing, query tuning, transactions, and operations. Use when creating or modifying MySQL tables, indexes, or queries; diagnosing slow/locking behavior; planning migrations; or troubleshooting replication and connection issues. Load when using a MySQL database.

What it loads into context

Frontmatter

64 tokens

Always available to the agent

SKILL.md

1,192 tokens

When the skill is activated

Reference documents

13,044 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Workflow
Schema Design
Indexing
Partitioning
Query Optimization
Transactions & Locking
Operations
Guardrails

Files

SKILL.mdcore5,241 bytes
references/character-sets.mddoc2,382 bytes
references/composite-indexes.mddoc2,719 bytes
references/connection-management.mddoc4,096 bytes
references/covering-indexes.mddoc2,000 bytes
references/data-types.mddoc2,389 bytes
references/deadlocks.mddoc3,355 bytes
references/explain-analysis.mddoc2,887 bytes
references/fulltext-indexes.mddoc1,649 bytes
references/index-maintenance.mddoc3,809 bytes
references/isolation-levels.mddoc3,242 bytes
references/json-column-patterns.mddoc3,192 bytes
references/n-plus-one.mddoc2,935 bytes
references/online-ddl.mddoc2,584 bytes
references/partitioning.mddoc3,605 bytes
references/primary-keys.mddoc3,573 bytes
references/query-optimization-pitfalls.mddoc3,841 bytes
references/replication-lag.mddoc2,909 bytes
references/row-locking-gotchas.mddoc3,198 bytes

Read SKILL.md


# MySQL

Use this skill to make safe, measurable MySQL/InnoDB changes.

## Workflow
1. Define workload and constraints (read/write mix, latency target, data volume, MySQL version, hosting platform).
2. Read only the relevant reference files linked in each section below.
3. Propose the smallest change that can solve the problem, including trade-offs.
4. Validate with evidence (`EXPLAIN`, `EXPLAIN ANALYZE`, lock/connection metrics, and production-safe rollout steps).
5. For production changes, include rollback and post-deploy verification.

## Schema Design
- Prefer narrow, monotonic PKs (`BIGINT UNSIGNED AUTO_INCREMENT`) for write-heavy OLTP tables.
- Avoid random UUID values as clustered PKs; if external IDs are required, keep UUID in a secondary unique column.

View the complete source on GitHub

postgres

When your agent uses it

PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.

What it loads into context

Frontmatter

51 tokens

Always available to the agent

SKILL.md

1,223 tokens

When the skill is activated

Reference documents

12,362 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Generic Postgres
Operations and Architecture
PlanetScale-Specific

Files

SKILL.mdcore6,493 bytes
references/backup-recovery.mddoc2,688 bytes
references/index-optimization.mddoc2,275 bytes
references/indexing.mddoc2,075 bytes
references/memory-management-ops.mddoc2,782 bytes
references/monitoring.mddoc3,524 bytes
references/mvcc-transactions.mddoc2,302 bytes
references/mvcc-vacuum.mddoc2,593 bytes
references/optimization-checklist.mddoc787 bytes
references/partitioning.mddoc3,014 bytes
references/process-architecture.mddoc2,723 bytes
references/ps-cli-api-insights.mddoc2,068 bytes
references/ps-cli-commands.mddoc1,866 bytes
references/ps-connection-pooling.mddoc3,194 bytes
references/ps-connections.mddoc1,415 bytes
references/ps-extensions.mddoc1,076 bytes
references/ps-insights.mddoc3,432 bytes
references/query-patterns.mddoc2,514 bytes
references/replication.mddoc3,831 bytes
references/schema-design.mddoc1,950 bytes
references/storage-layout.mddoc2,494 bytes
references/wal-operations.mddoc2,826 bytes

Read SKILL.md


# PlanetScale Postgres

## Generic Postgres

| Topic                  | Reference                                                        | Use for                                                   |
| ---------------------- | ---------------------------------------------------------------- | --------------------------------------------------------- |
| Schema Design          | [references/schema-design.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/schema-design.md)           | Tables, primary keys, data types, foreign keys            |
| Indexing               | [references/indexing.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/indexing.md)                      | Index types, composite indexes, performance               |
| Index Optimization     | [references/index-optimization.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/index-optimization.md) | Unused/duplicate index queries, index audit               |
| Partitioning           | [references/partitioning.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/partitioning.md)             | Large tables, time-series, data retention                 |
| Query Patterns         | [references/query-patterns.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/query-patterns.md)         | SQL anti-patterns, JOINs, pagination, batch queries       |
| Optimization Checklist | [references/optimization-checklist.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/optimization-checklist.md) | Pre-optimization audit, cleanup, readiness checks  |
| MVCC and VACUUM        | [references/mvcc-vacuum.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/mvcc-vacuum.md)               | Dead tuples, long transactions, xid wraparound prevention |

View the complete source on GitHub

prd-creator

When your agent uses it

Guides creation of comprehensive Product Requirement Documents (PRDs) for software projects through structured questioning and validation, then generates implementation task lists in JSON format. Use when users want to document a software idea, create specifications for development, plan a new application feature/bug, or break down requirements into actionable tasks. Transforms ideas into implementation-ready documents with verifiable pass criteria.

What it loads into context

Frontmatter

151 tokens

Always available to the agent

SKILL.md

1,472 tokens

When the skill is activated

Reference documents

8,750 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Overview
Part 4: Overall Description
Quick Start
After completion
Important Constraints

Files

JSON.mddoc28,955 bytes
PRD.mddoc11,353 bytes
SKILL.mdcore6,520 bytes

Read SKILL.md


# PRD Creation Assistant

Transform software ideas into comprehensive PRDs and actionable implementation tasks through a two-part process.

## Overview

This skill helps beginner-level developers.

1. Receive an implementation description from the user
2. Create detailed PRD documents through structured questioning
3. Verify implementation prerequisites, including access, MCPs, docs, env variables, and test users
4. Generate implementation task lists in JSON format for developers
5. Write an overall description of the project. An executive summary that gives a high level overview of the app and its main features.

View the complete source on GitHub

skill-creator

When your agent uses it

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

What it loads into context

Frontmatter

49 tokens

Always available to the agent

SKILL.md

3,666 tokens

When the skill is activated

Reference documents

536 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

About Skills
Core Principles
Skill Creation Process

Scripts executed separately

scripts/init_skill.py
scripts/package_skill.py

Files

SKILL.mdcore17,798 bytes
references/output-patterns.mddoc1,817 bytes
references/workflows.mddoc819 bytes
scripts/init_skill.pyruns10,841 bytes
scripts/package_skill.pyruns3,288 bytes

Read SKILL.md


# Skill Creator

This skill provides guidance for creating effective skills.

## About Skills

Skills are modular, self-contained packages that extend Claude's capabilities by providing
specialized knowledge, workflows, and tools. Think of them as "onboarding guides" for specific
domains or tasks—they transform Claude from a general-purpose agent into a specialized agent
equipped with procedural knowledge that no model can fully possess.

### What Skills Provide

1. Specialized workflows - Multi-step procedures for specific domains

View the complete source on GitHub

vercel-react-best-practices

When your agent uses it

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

What it loads into context

Frontmatter

93 tokens

Always available to the agent

SKILL.md

1,299 tokens

When the skill is activated

Reference documents

29,136 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

When to Apply
Rule Categories by Priority
Quick Reference
How to Use
Full Compiled Document

Files

AGENTS.mddoc60,535 bytes
SKILL.mdcore5,316 bytes
rules/advanced-event-handler-refs.mddoc1,478 bytes
rules/advanced-use-latest.mddoc1,191 bytes
rules/async-api-routes.mddoc1,125 bytes
rules/async-defer-await.mddoc2,028 bytes
rules/async-dependencies.mddoc942 bytes
rules/async-parallel.mddoc654 bytes
rules/async-suspense-boundaries.mddoc2,510 bytes
rules/bundle-barrel-imports.mddoc2,370 bytes
rules/bundle-conditional.mddoc866 bytes
rules/bundle-defer-third-party.mddoc920 bytes
rules/bundle-dynamic-imports.mddoc791 bytes
rules/bundle-preload.mddoc1,149 bytes
rules/client-event-listeners.mddoc1,969 bytes
rules/client-swr-dedup.mddoc1,159 bytes
rules/js-batch-dom-css.mddoc1,902 bytes
rules/js-cache-function-results.mddoc1,949 bytes
rules/js-cache-property-access.mddoc532 bytes
rules/js-cache-storage.mddoc1,651 bytes
rules/js-combine-iterations.mddoc753 bytes
rules/js-early-exit.mddoc1,133 bytes
rules/js-hoist-regexp.mddoc1,028 bytes
rules/js-index-maps.mddoc837 bytes
rules/js-length-check-first.mddoc1,752 bytes
rules/js-min-max-loop.mddoc2,105 bytes
rules/js-set-map-lookups.mddoc532 bytes
rules/js-tosorted-immutable.mddoc1,782 bytes
rules/rendering-activity.mddoc564 bytes
rules/rendering-animate-svg-wrapper.mddoc1,185 bytes
rules/rendering-conditional-render.mddoc980 bytes
rules/rendering-content-visibility.mddoc815 bytes
rules/rendering-hoist-jsx.mddoc1,039 bytes
rules/rendering-hydration-no-flicker.mddoc2,308 bytes
rules/rendering-svg-precision.mddoc588 bytes
rules/rerender-defer-reads.mddoc973 bytes
rules/rerender-dependencies.mddoc824 bytes
rules/rerender-derived-state.mddoc724 bytes
rules/rerender-functional-setstate.mddoc2,968 bytes
rules/rerender-lazy-state-init.mddoc2,016 bytes
rules/rerender-memo.mddoc1,148 bytes
rules/rerender-transitions.mddoc1,055 bytes
rules/server-after-nonblocking.mddoc2,012 bytes
rules/server-cache-lru.mddoc1,353 bytes
rules/server-cache-react.mddoc681 bytes
rules/server-parallel-fetching.mddoc1,515 bytes
rules/server-serialization.mddoc996 bytes

Read SKILL.md


# Vercel React Best Practices

Comprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Contains 45 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

## When to Apply

Reference these guidelines when:
- Writing new React components or Next.js pages
- Implementing data fetching (client or server-side)
- Reviewing code for performance issues
- Refactoring existing React/Next.js code
- Optimizing bundle size or load times

## Rule Categories by Priority

View the complete source on GitHub

vitest-best-practices

When your agent uses it

Comprehensive vitest testing patterns covering test structure, AAA pattern, parameterized tests, assertions, mocking, test doubles, error handling, async testing, and performance optimization. Use when writing, reviewing, or refactoring vitest tests, or when user mentions vitest, testing, TDD, test coverage, mocking, assertions, or test files (*.test.ts, *.spec.ts).

What it loads into context

Frontmatter

95 tokens

Always available to the agent

SKILL.md

1,123 tokens

When the skill is activated

Reference documents

25,738 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

When to Apply This Skill
Do NOT Use This Skill When
What This Skill Covers
How to Use
Quick Example
Key Principles

Files

AGENTS.mddoc2,897 bytes
SKILL.mdcore4,881 bytes
references/aaa-pattern.mddoc7,293 bytes
references/assertions.mddoc10,287 bytes
references/async-testing.mddoc10,424 bytes
references/error-handling.mddoc11,115 bytes
references/organization.mddoc5,148 bytes
references/parameterized-tests.mddoc8,969 bytes
references/performance.mddoc12,264 bytes
references/snapshot-testing.mddoc10,552 bytes
references/test-doubles.mddoc12,469 bytes
references/vitest-features.mddoc10,972 bytes

Read SKILL.md


# Vitest Best Practices

## When to Apply This Skill

Use this skill when you encounter any of these scenarios:

### File Patterns

- Working with `*.test.ts`, `*.spec.ts`, or similar test files
- Creating new test files for TypeScript/JavaScript modules
- Reviewing existing vitest test suites

### User Intent Keywords

View the complete source on GitHub

web-design-guidelines

When your agent uses it

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

What it loads into context

Frontmatter

75 tokens

Always available to the agent

SKILL.md

267 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

How It Works
Guidelines Source
Usage

Files

SKILL.mdcore1,229 bytes
SKILL.mdcore1,229 bytes
SKILL.mdcore1,229 bytes

Read SKILL.md


# Web Interface Guidelines

Review files for compliance with Web Interface Guidelines.

## How It Works

1. Fetch the latest guidelines from the source URL below
2. Read the specified files (or prompt user for files/pattern)
3. Check against all rules in the fetched guidelines
4. Output findings in the terse `file:line` format

## Guidelines Source

Fetch fresh guidelines before each review:

View the complete source on GitHub

Skills included

component-refactoring
e2e-tester
frontend-code-review
frontend-testing
mysql
postgres
prd-creator
skill-creator
vercel-react-best-practices
vitest-best-practices
web-design-guidelines

Repository facts

License: MIT
Created: Jan 26, 2026
Last pushed: Aug 31, 2026
Forks: 49
Open issues: 3
Project activity: Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 4, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 7 notes

.agent/skills/e2e-tester/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.agent/skills/e2e-tester/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.agent/skills/e2e-tester/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.agent/skills/frontend-testing/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.agent/skills/frontend-testing/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.agent/skills/web-design-guidelines/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
.agent/skills/web-design-guidelines/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

1 broad permissionin 1 file: e2e-tester/SKILL.md:1
No dangerous shell commands
103 network referencesin 22 files: postgres/SKILL.md:14 mysql/SKILL.md:23 vercel-react-best-practices/AGENTS.md:191 and 19 more
No hidden or obfuscated text
No instruction overrides
5 executable scriptsin 5 files: frontend-testing/assets/component-test.template.tsx:1 frontend-testing/assets/hook-test.template.ts:1 frontend-testing/assets/utility-test.template.ts:1 and 2 more
1 reference to secretsin 1 file: postgres/references/ps-cli-commands.md:28
No requests to vote in Hot

Show all 110 signals by file

`.agent/skills/e2e-tester/SKILL.md`

Broad permissionsline 1

Read, Edit, Write, Glob, Grep, Bash, WebFetch, WebSearch, Task

`.agent/skills/frontend-testing/assets/component-test.template.tsx`

Executable scriptline 1
```
Executable file
```

`.agent/skills/frontend-testing/assets/hook-test.template.ts`

Executable scriptline 1
```
Executable file
```

`.agent/skills/frontend-testing/assets/utility-test.template.ts`

Executable scriptline 1
```
Executable file
```

`.agent/skills/frontend-testing/references/mocking.md`

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const GITHUB_HOST = 'https://api.github.com'

`.agent/skills/mysql/SKILL.md`

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References: - [primary-keys](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/primary-keys.md)

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- [primary-keys](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/primary-keys.md)

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- [data-types](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/data-types.md)

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- [character-sets](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/character-sets.md)

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- [json-column-patterns](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/json-column-patterns.md)

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References: - [composite-indexes](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/composite-indexes.md)

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- [composite-indexes](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/composite-indexes.md)

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- [covering-indexes](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/covering-indexes.md)

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- [fulltext-indexes](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/fulltext-indexes.md)

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- [index-maintenance](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/index-maintenance.md)

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References: - [partitioning](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/partitioning.md)

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- [partitioning](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/partitioning.md)

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References: - [explain-analysis](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/explain-analysis.md)

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- [explain-analysis](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/explain-analysis.md)

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- [query-optimization-pitfalls](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/query-optimization-pitfalls.md)

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- [n-plus-one](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/n-plus-one.md)

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References: - [isolation-levels](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/isolation-levels.md)

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- [isolation-levels](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/isolation-levels.md)

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- [deadlocks](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/deadlocks.md)

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- [row-locking-gotchas](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/row-locking-gotchas.md)

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References: - [online-ddl](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/online-ddl.md)

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- [online-ddl](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/online-ddl.md)

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- [connection-management](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/connection-management.md)

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- [replication-lag](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/mysql/references/replication-lag.md)

`.agent/skills/postgres/SKILL.md`

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| Topic                  | Reference                                                        | Use for                                                   | | ---------------------- | -----------------------------------------------------------

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| ---------------------- | ---------------------------------------------------------------- | --------------------------------------------------------- | | Schema Design          | [references/schema-design.md](https://raw.githubusercontent

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| Schema Design          | [references/schema-design.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/schema-design.md)           | Tables, primary keys, data types, foreign keys            |

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| Indexing               | [references/indexing.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/indexing.md)                      | Index types, composite indexes, performance

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| Index Optimization     | [references/index-optimization.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/index-optimization.md) | Unused/duplicate index queries, index audit               |

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| Partitioning           | [references/partitioning.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/partitioning.md)             | Large tables, time-series, data retention                 |

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| Query Patterns         | [references/query-patterns.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/query-patterns.md)         | SQL anti-patterns, JOINs, pagination, batch queries       |

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| Optimization Checklist | [references/optimization-checklist.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/optimization-checklist.md) | Pre-optimization audit, cleanup, readiness checks

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| MVCC and VACUUM        | [references/mvcc-vacuum.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/mvcc-vacuum.md)               | Dead tuples, long transactions, xid wraparound prevention |

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| Topic                  | Reference                                                                    | Use for                                                         | | ---------------------- | -----------------------------------------

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| ---------------------- | ---------------------------------------------------------------------------- | --------------------------------------------------------------- | | Process Architecture   | [references/process-architecture.md](http

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| Process Architecture   | [references/process-architecture.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/process-architecture.md)     | Multi-process model, connection pooling, auxiliary

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| Memory Architecture    | [references/memory-management-ops.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/memory-management-ops.md)   | Shared/private memory layout, OS page cache, OOM pr

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| MVCC Transactions      | [references/mvcc-transactions.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/mvcc-transactions.md)           | Isolation levels, XID wraparound, serialization err

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| WAL and Checkpoints    | [references/wal-operations.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/wal-operations.md)                 | WAL internals, checkpoint tuning, durability, crash

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| Replication            | [references/replication.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/replication.md)                       | Streaming replication, slots, sync commit, failover

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| Storage Layout         | [references/storage-layout.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/storage-layout.md)                | PGDATA structure, TOAST, fillfactor, tablespaces, di

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| Monitoring             | [references/monitoring.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/monitoring.md)                         | pg_stat views, logging, pg_stat_statements, host me

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| Backup and Recovery    | [references/backup-recovery.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/backup-recovery.md)              | pg_dump, pg_basebackup, PITR, WAL archiving, backup

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| Topic              | Reference                                                                    | Use for                                               | | ------------------ | -----------------------------------------------------------

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| ------------------ | ---------------------------------------------------------------------------- | ----------------------------------------------------- | | Connection Pooling | [references/ps-connection-pooling.md](https://raw.githubuse

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| Connection Pooling | [references/ps-connection-pooling.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/ps-connection-pooling.md)   | PgBouncer, pool sizing, pooled vs direct              |

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| Extensions         | [references/ps-extensions.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/ps-extensions.md)                   | Supported extensions, compatibility                   |

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| Connections        | [references/ps-connections.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/ps-connections.md)                 | Connection troubleshooting, drivers, SSL              |

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| Insights           | [references/ps-insights.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/ps-insights.md)                       | Slow queries, MCP server, pscale CLI                  |

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| CLI Commands       | [references/ps-cli-commands.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/ps-cli-commands.md)               | pscale CLI reference, branches, deploy requests, auth |

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| CLI API Insights   | [references/ps-cli-api-insights.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/ps-cli-api-insights.md)       | Query insights via `pscale api`, schema analysis      |

`.agent/skills/postgres/references/ps-cli-api-insights.md`

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Analyze slow queries and missing indexes using `pscale api`. Endpoints may change—see https://planetscale.com/docs/api/reference/getting-started-with-planetscale-api for current API docs.

`.agent/skills/postgres/references/ps-cli-commands.md`

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Full CLI reference: https://planetscale.com/docs/cli. Use `pscale <command> --help` for subcommands and flags.

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```
[Credential-related source omitted]
```

`.agent/skills/postgres/references/ps-connection-pooling.md`

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Docs: https://planetscale.com/docs/postgres/connecting/pgbouncer

`.agent/skills/postgres/references/ps-connections.md`

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Postgres docs: https://planetscale.com/docs/postgres/connecting

`.agent/skills/postgres/references/ps-extensions.md`

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Only use PlanetScale-supported extensions. For the complete and up-to-date list of available extensions, see: https://planetscale.com/docs/postgres/extensions

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- Always check the [PlanetScale extensions docs](https://planetscale.com/docs/postgres/extensions) before assuming an extension is available.

`.agent/skills/postgres/references/ps-insights.md`

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Prefer retrieval over pre-training knowledge. Docs: https://planetscale.com/docs

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MCP setup: https://planetscale.com/docs/connect/mcp

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See [ps-cli-api-insights.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/ps-cli-api-insights.md) for how to use.

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In the [PlanetScale dashboard](https://app.planetscale.com/), select your database and click **Insights**.

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More: [PlanetScale Insights docs](https://planetscale.com/docs/postgres/monitoring/query-insights)

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More: [optimization-checklist.md](https://raw.githubusercontent.com/planetscale/database-skills/main/skills/postgres/references/optimization-checklist.md)

`.agent/skills/prd-creator/SKILL.md`

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version: '1.0.1'   tags: prd, product requirements, software development, documentation, task generation   website: https://pageai.pro/blog/long-running-ai-coding-agents-ralph-loop#step-2-write-your-requirements

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tags: prd, product requirements, software development, documentation, task generation   website: https://pageai.pro/blog/long-running-ai-coding-agents-ralph-loop#step-2-write-your-requirements ---

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website: https://pageai.pro/blog/long-running-ai-coding-agents-ralph-loop#step-2-write-your-requirements

`.agent/skills/skill-creator/scripts/init_skill.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`.agent/skills/skill-creator/scripts/package_skill.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`.agent/skills/vercel-react-best-practices/AGENTS.md`

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Reference: [https://github.com/shuding/better-all](https://github.com/shuding/better-all)

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Reference: [https://vercel.com/blog/how-we-optimized-package-imports-in-next-js](https://vercel.com/blog/how-we-optimized-package-imports-in-next-js)

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**With Vercel's [Fluid Compute](https://vercel.com/docs/fluid-compute):** LRU caching is especially effective because multiple concurrent requests can share the same function instance and cache. This means the cache persists across requests

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Reference: [https://github.com/isaacs/node-lru-cache](https://github.com/isaacs/node-lru-cache)

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Reference: [https://nextjs.org/docs/app/api-reference/functions/after](https://nextjs.org/docs/app/api-reference/functions/after)

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const [users, setUsers] = useState([])   useEffect(() => {     fetch('/api/users')

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useEffect(() => {     fetch('/api/users')       .then(r => r.json())

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```
fetch('/api/users')
```

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Reference: [https://swr.vercel.app](https://swr.vercel.app)

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**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, manual memoization with `memo()` and `useMemo()` is not necessary. The compiler automatically optimizes re-renders.

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**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, the compiler can automatically optimize some cases, but functional updates are still recommended for correctness and to prevent stale closure bu

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**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, the compiler automatically hoists static JSX elements and optimizes component re-renders, making manual hoisting unnecessary.

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Reference: [https://vercel.com/blog/how-we-made-the-vercel-dashboard-twice-as-fast](https://vercel.com/blog/how-we-made-the-vercel-dashboard-twice-as-fast)

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1. [https://react.dev](https://react.dev)

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2. [https://nextjs.org](https://nextjs.org)

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3. [https://swr.vercel.app](https://swr.vercel.app)

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4. [https://github.com/shuding/better-all](https://github.com/shuding/better-all)

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5. [https://github.com/isaacs/node-lru-cache](https://github.com/isaacs/node-lru-cache)

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6. [https://vercel.com/blog/how-we-optimized-package-imports-in-next-js](https://vercel.com/blog/how-we-optimized-package-imports-in-next-js)

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7. [https://vercel.com/blog/how-we-made-the-vercel-dashboard-twice-as-fast](https://vercel.com/blog/how-we-made-the-vercel-dashboard-twice-as-fast)

`.agent/skills/vercel-react-best-practices/rules/async-dependencies.md`

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Reference: [https://github.com/shuding/better-all](https://github.com/shuding/better-all)

`.agent/skills/vercel-react-best-practices/rules/bundle-barrel-imports.md`

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Reference: [How we optimized package imports in Next.js](https://vercel.com/blog/how-we-optimized-package-imports-in-next-js)

`.agent/skills/vercel-react-best-practices/rules/client-swr-dedup.md`

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const [users, setUsers] = useState([])   useEffect(() => {     fetch('/api/users')

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useEffect(() => {     fetch('/api/users')       .then(r => r.json())

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```
fetch('/api/users')
```

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Reference: [https://swr.vercel.app](https://swr.vercel.app)

`.agent/skills/vercel-react-best-practices/rules/js-cache-function-results.md`

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Reference: [How we made the Vercel Dashboard twice as fast](https://vercel.com/blog/how-we-made-the-vercel-dashboard-twice-as-fast)

`.agent/skills/vercel-react-best-practices/rules/rendering-hoist-jsx.md`

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**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, the compiler automatically hoists static JSX elements and optimizes component re-renders, making manual hoisting unnecessary.

`.agent/skills/vercel-react-best-practices/rules/rerender-functional-setstate.md`

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**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, the compiler can automatically optimize some cases, but functional updates are still recommended for correctness and to prevent stale closure bu

`.agent/skills/vercel-react-best-practices/rules/rerender-memo.md`

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**Note:** If your project has [React Compiler](https://react.dev/learn/react-compiler) enabled, manual memoization with `memo()` and `useMemo()` is not necessary. The compiler automatically optimizes re-renders.

`.agent/skills/vercel-react-best-practices/rules/server-after-nonblocking.md`

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Reference: [https://nextjs.org/docs/app/api-reference/functions/after](https://nextjs.org/docs/app/api-reference/functions/after)

`.agent/skills/vercel-react-best-practices/rules/server-cache-lru.md`

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**With Vercel's [Fluid Compute](https://vercel.com/docs/fluid-compute):** LRU caching is especially effective because multiple concurrent requests can share the same function instance and cache. This means the cache persists across requests

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Reference: [https://github.com/isaacs/node-lru-cache](https://github.com/isaacs/node-lru-cache)

`.agent/skills/vitest-best-practices/references/performance.md`

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it('should fetch user data', async () => {   const response = await fetch('https://api.example.com/users/123');

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const response = await fetch('https://api.example.com/users/123');

`.agent/skills/web-design-guidelines/SKILL.md`

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https://raw.githubusercontent.com/vercel-labs/web-interface-guidelines/main/command.md

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 110 facts

Broad permissions in the frontmatter of the SKILL.mde2e-tester/SKILL.md:1High confidence
Executable script in a comment of a file that runsfrontend-testing/assets/component-test.template.tsx:1Low confidence
Executable script in a comment of a file that runsfrontend-testing/assets/hook-test.template.ts:1Low confidence
Executable script in a comment of a file that runsfrontend-testing/assets/utility-test.template.ts:1Low confidence
Network access in code of documentationfrontend-testing/references/mocking.md:121Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:23Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:24Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:25Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:26Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:27Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:35Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:36Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:37Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:38Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:39Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:45Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:46Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:53Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:54Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:55Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:56Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:63Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:64Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:65Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:66Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:73Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:74Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:75Low confidence
Network access in prose of the SKILL.mdmysql/SKILL.md:76Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:14Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:15Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:16Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:17Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:18Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:19Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:20Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:21Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:22Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:26Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:27Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:28Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:29Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:30Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:31Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:32Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:33Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:34Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:35Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:39Low confidence
Network access in prose of the SKILL.mdpostgres/SKILL.md:40Low confidence

and 60 more

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Native	Path CLAUDE.md	`.claude/skills/<skill-name>/`
Codex	Native	Manifest .agent/skills/vercel-react-best-practices/AGENTS.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md .agent/skills/component-refactoring/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md .agent/skills/component-refactoring/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md .agent/skills/component-refactoring/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md .agent/skills/component-refactoring/SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

PageAI-Pro/ralph-loop

History

.agent/skills/component-refactoring/SKILL.md

.agent/skills/e2e-tester/SKILL.md

.agent/skills/frontend-code-review/SKILL.md

.agent/skills/frontend-testing/SKILL.md

.agent/skills/mysql/SKILL.md

.agent/skills/postgres/SKILL.md

.agent/skills/prd-creator/SKILL.md

.agent/skills/skill-creator/SKILL.md

.agent/skills/vercel-react-best-practices/SKILL.md

.agent/skills/vitest-best-practices/SKILL.md

.agent/skills/web-design-guidelines/SKILL.md

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Individual skills in this repository

How it works

component-refactoring

Frontmatter

SKILL.md

Reference documents

The playbook

Files

e2e-tester

Frontmatter

SKILL.md

Reference documents

The playbook

Files

frontend-code-review

Frontmatter

SKILL.md

Reference documents

The playbook

Files

frontend-testing

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

mysql

Frontmatter

SKILL.md

Reference documents

The playbook

Files

postgres

Frontmatter

SKILL.md

Reference documents

The playbook

Files

prd-creator

Frontmatter

SKILL.md

Reference documents

The playbook

Files

skill-creator

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

vercel-react-best-practices

Frontmatter

SKILL.md

Reference documents

The playbook

Files

vitest-best-practices

Frontmatter

SKILL.md

Reference documents

The playbook

Files

`.agent/skills/component-refactoring/SKILL.md`

`.agent/skills/e2e-tester/SKILL.md`

`.agent/skills/frontend-code-review/SKILL.md`

`.agent/skills/frontend-testing/SKILL.md`

`.agent/skills/mysql/SKILL.md`

`.agent/skills/postgres/SKILL.md`

`.agent/skills/prd-creator/SKILL.md`

`.agent/skills/skill-creator/SKILL.md`

`.agent/skills/vercel-react-best-practices/SKILL.md`

`.agent/skills/vitest-best-practices/SKILL.md`

`.agent/skills/web-design-guidelines/SKILL.md`

`.agent/skills/e2e-tester/SKILL.md`

`.agent/skills/frontend-testing/assets/component-test.template.tsx`

`.agent/skills/frontend-testing/assets/hook-test.template.ts`

`.agent/skills/frontend-testing/assets/utility-test.template.ts`

`.agent/skills/frontend-testing/references/mocking.md`

`.agent/skills/mysql/SKILL.md`

`.agent/skills/postgres/SKILL.md`

`.agent/skills/postgres/references/ps-cli-api-insights.md`

`.agent/skills/postgres/references/ps-cli-commands.md`

`.agent/skills/postgres/references/ps-connection-pooling.md`

`.agent/skills/postgres/references/ps-connections.md`

`.agent/skills/postgres/references/ps-extensions.md`

`.agent/skills/postgres/references/ps-insights.md`

`.agent/skills/prd-creator/SKILL.md`

`.agent/skills/skill-creator/scripts/init_skill.py`

`.agent/skills/skill-creator/scripts/package_skill.py`

`.agent/skills/vercel-react-best-practices/AGENTS.md`

`.agent/skills/vercel-react-best-practices/rules/async-dependencies.md`

`.agent/skills/vercel-react-best-practices/rules/bundle-barrel-imports.md`

`.agent/skills/vercel-react-best-practices/rules/client-swr-dedup.md`

`.agent/skills/vercel-react-best-practices/rules/js-cache-function-results.md`

`.agent/skills/vercel-react-best-practices/rules/rendering-hoist-jsx.md`

`.agent/skills/vercel-react-best-practices/rules/rerender-functional-setstate.md`

`.agent/skills/vercel-react-best-practices/rules/rerender-memo.md`

`.agent/skills/vercel-react-best-practices/rules/server-after-nonblocking.md`

`.agent/skills/vercel-react-best-practices/rules/server-cache-lru.md`

`.agent/skills/vitest-best-practices/references/performance.md`

`.agent/skills/web-design-guidelines/SKILL.md`