Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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prompt-polisher
Use when receiving messy, unstructured input like voice transcriptions, stream-of-consciousness notes, or rough document content that needs to be transformed into a polished, optimized prompt. Cleans up filler words, extracts intent, asks clarifying questions, applies Claude 4.x/Opus 4.5/Sonnet 4.5 best practices, and previews the polished prompt for approval before execution. Trigger phrases include "polish this", "clean this up", "turn this into a prompt", or when input is clearly rough/unstructured.
cnfjlhj/ai-collab-playbook 190
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find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. Start with the skills.sh registry via `npx skills find`; if there are no good matches, fall back to a GitHub deep search for SKILL.md patterns before concluding no skill exists.
cnfjlhj/ai-collab-playbook 190
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session-recovery-codex
Use when recovering a Codex session, especially if the user provides a Codex session id or wants recent Codex sessions listed before resuming work.
cnfjlhj/ai-collab-playbook 190
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collaborating-with-gemini
Use when you want Gemini CLI as a second opinion for coding tasks such as prototyping, debugging, or diff review, while keeping Codex as the primary implementer.
cnfjlhj/ai-collab-playbook 190
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all-plan
Use when a task is ambiguous and needs deep multi-role planning with designer, inspiration, and reviewer perspectives before execution. Skip this for ordinary task plans.
cnfjlhj/ai-collab-playbook 190
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question-refiner
Use when a research question is still vague and must be clarified into a structured deep-research brief before actual literature research or execution. Skip this if the user already has a concrete paper draft or a ready-to-run research specification.
cnfjlhj/ai-collab-playbook 190
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timestamped-video-summary
Generate a detailed, professional video content summary from timestamped subtitles/transcripts (e.g., lines starting with 00:00 / 1:23:45). Enforce strict per-segment structure (timestamp range + bold segment title + 2-paragraph body: first-person creator summary + expert 【导师评注】 critique with uncertainty handling). Use when the user provides time-coded subtitles and asks for a规范化纪要/内容纪要/逐段总结, and optionally wants a clean PDF export (do NOT include the full raw transcript in the PDF unless explicitly requested).
cnfjlhj/ai-collab-playbook 190
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skill-creator
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 Codex's capabilities with specialized knowledge, workflows, or tool integrations.
cnfjlhj/ai-collab-playbook 190
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frontend-testing
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.
PageAI-Pro/ralph-loop 193
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vercel-react-best-practices
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.
PageAI-Pro/ralph-loop 193
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frontend-code-review
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.
PageAI-Pro/ralph-loop 193
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component-refactoring
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.
PageAI-Pro/ralph-loop 193
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postgres
PostgreSQL best practices, query optimization, connection troubleshooting, and performance improvement. Load when working with Postgres databases.
PageAI-Pro/ralph-loop 193
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mysql
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.
PageAI-Pro/ralph-loop 193
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web-design-guidelines
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".
PageAI-Pro/ralph-loop 193
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vitest-best-practices
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).
PageAI-Pro/ralph-loop 193
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prd-creator
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.
PageAI-Pro/ralph-loop 193
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e2e-tester
Playwright E2E testing patterns. Trigger: When writing Playwright E2E tests (Page Object Model, selectors, MCP exploration workflow).
PageAI-Pro/ralph-loop 193
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skill-creator
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.
PageAI-Pro/ralph-loop 193
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ourmem
Shared memory that never forgets. Cloud hosted or self-deployed.
Collective intelligence for AI agents with Space-based sharing across agents and teams.
Use when users say:
- "install ourmem" / "install omem"
- "setup memory" / "setup omem"
- "add memory plugin"
- "ourmem onboarding" / "omem onboarding"
- "memory not working"
- "remember this"
- "save this for later"
- "don't forget"
- "recall preferences"
- "what did I say last time"
- "import memories"
- "share memories"
- "share with user"
- "share memories to someone"
- "team memory"
- "shared space"
- "persistent memory"
- "cross-session memory"
- "collective intelligence"
- "memory analytics"
- "memory stats"
- "self-host memory"
- "deploy memory server"
Even if the user doesn't say "ourmem" or "omem", trigger when they want persistent memory,
memory sharing between agents, memory analytics, or memory import/export.
ourmem/omem 186
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memory-recall
Search and recall memories from ourmem. Use when user asks to find, recall, search, or remember something.
ourmem/omem 186
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memory-store
Store a memory in ourmem. Use when user says remember, save, store, or don't forget something.
ourmem/omem 186
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agent-kanban
CLI reference for agents — how to claim tasks, log progress, submit for review
saltbo/agent-kanban 188
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ak-plan
Plan and execute a project — either a new version of an existing project, or a
brand new product from scratch. Analyzes gaps, creates board with tasks and
dependencies, assigns to agents. Use when asked to "plan a version", "plan v1.4",
"build a product", "create a project", "规划版本", or "/ak-plan <version> <goals>".
saltbo/agent-kanban 188