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Factory-AI AI Skills

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Browse published AI skills maintained by Factory-AI. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

8

Repository stars across indexed skills

1,607

Repository forks

130

Average repository stars per indexed skill

201

Repository stars may repeat across skills from the same repository.

8 skills

Browse skills

GitHub

prompt-refiner-claude

Factory-AI

Refine prompts for Claude models (Opus, Sonnet, Haiku) using Anthropic's best practices. Use when preparing complex tasks for Claude.

GitHub

memory-capture

Factory-AI

Capture and organize memories, decisions, and learnings to a memories.md file. Use when you want to save context for future sessions.

GitHub

prompt-refiner-gpt

Factory-AI

Refine prompts for GPT models (GPT-5, GPT-5.1, Codex) using OpenAI's best practices. Use when preparing complex tasks for GPT.

GitHub

security-review

Factory-AI

Scan code changes for security vulnerabilities using STRIDE threat modeling, validate findings for exploitability, and output structured results for downstream patch generation. Supports PR review, scheduled sc...

GitHub

threat-model-generation

Factory-AI

Generate a STRIDE-based security threat model for a repository. Use when setting up security monitoring, after architecture changes, or for security audits.

GitHub

code-review

Factory-AI

Review code changes (diffs, PRs, patches) and provide structured, actionable feedback on correctness, maintainability, and test coverage. Use when the user asks for a code review, requests feedback on a patch/P...

GitHub

vulnerability-validation

Factory-AI

Validate security findings from commit-security-scan by assessing exploitability, filtering false positives, and generating proof-of-concept exploits. Use after running commit-security-scan to confirm vulnerabi...

GitHub

commit-security-scan

Factory-AI

Analyze code changes for security vulnerabilities using LLM reasoning and threat model patterns. Use for PR reviews, pre-commit checks, or branch comparisons.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.