Create and evolve production-ready skills with reusable scripts, references, and validation. Use for new skill creation, skill upgrades, and enforcing consistent metadata and structure.
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See how to installReview the instructions the agent will receive before you install.
Create skills that are immediately usable by AI agents and maintainable across a shared repository.
Use this skill to enforce:
description fields in frontmatter.agents/openai.yaml metadata.SKILL.md prose.scripts/generate_skill_starter.py.SKILL.md and references to keep core instructions concise.scripts/validate_skill_pack.py.references/workflow.md for quality gates and review checklist.references/category-guides.md for domain-specific starter guidance.assets/templates/ to avoid rewriting boilerplate.scripts/generate_skill_starter.py to generate category starter output.scripts/validate_skill_pack.py after edits and before publishing.When creating or updating a skill:
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Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.
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Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.
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Build incident response timelines and report packs from event logs. Use for detection-to-recovery reporting, phase tracking, and stakeholder-ready incident summaries.
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Prioritize vulnerability remediation using KEV-style exploitation context plus asset criticality. Use for CVE triage, patch order decisions, and remediation reporting.
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Map application security findings to OWASP Top 10 categories and generate remediation checklists. Use for normalized AppSec review outputs and category-level prioritization.
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Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning workflows.
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