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PythonReactSEOPDF

Factory-AI AI Skills

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Explorez les skills IA publiés de Factory-AI et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

8

Étoiles des dépôts des skills indexés

1,607

Forks du dépôt

130

Moyenne des étoiles par skill indexé

201

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

8 skills

Explorer

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.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.