跳到正文
cccskills
免费在 GitHub 公开

skill-creator-pro

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.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(10)

  • SKILL.md1.7 KB
  • agents/openai.yaml212 B
  • assets/templates/agentic-skill-template.md297 B
  • assets/templates/ml-dl-skill-template.md292 B
  • assets/templates/security-skill-template.md277 B
  • assets/templates/workspace-skill-template.md312 B
  • references/category-guides.md987 B
  • references/workflow.md1.0 KB
  • scripts/generate_skill_starter.py6.9 KB
  • scripts/validate_skill_pack.py8.6 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Skill Creator Pro

Overview

Create skills that are immediately usable by AI agents and maintainable across a shared repository.

Use this skill to enforce:

  • Trigger-quality description fields in frontmatter.
  • Consistent agents/openai.yaml metadata.
  • Reusable scripts/references/assets per domain.
  • Validation and smoke-test readiness before publishing.

Workflow

  1. Clarify skill intent with two or three concrete user prompts.
  2. Select one primary workflow pattern (task-based, workflow-based, or capability-based).
  3. Define reusable resources before writing final SKILL.md prose.
  4. Generate starter layout with scripts/generate_skill_starter.py.
  5. Edit SKILL.md and references to keep core instructions concise.
  6. Validate the entire pack with scripts/validate_skill_pack.py.

Use Bundled Resources

  • Read references/workflow.md for quality gates and review checklist.
  • Read references/category-guides.md for domain-specific starter guidance.
  • Reuse templates in assets/templates/ to avoid rewriting boilerplate.
  • Run scripts/generate_skill_starter.py to generate category starter output.
  • Run scripts/validate_skill_pack.py after edits and before publishing.

Output Standards

When creating or updating a skill:

  • Keep frontmatter keys minimal (name, description).
  • Keep descriptions explicit about trigger conditions.
  • Keep scripts deterministic and compatible with --dry-run.
  • Keep examples safe, especially for cybersecurity content.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Scaffold MCP server projects and baseline tool contract checks. Use for defining tool schemas, generating starter server layouts, and validating MCP-ready structure.

中文简介正在准备中。当前显示原文说明。

0x-Professor/Agent-Skills-Hub112026年2月27日 更新

Generate reusable multi-step agent workflow blueprints. Use for trigger/action orchestration, deterministic workflow definitions, and automation handoff artifacts.

中文简介正在准备中。当前显示原文说明。

0x-Professor/Agent-Skills-Hub112026年2月27日 更新

Build incident response timelines and report packs from event logs. Use for detection-to-recovery reporting, phase tracking, and stakeholder-ready incident summaries.

中文简介正在准备中。当前显示原文说明。

0x-Professor/Agent-Skills-Hub112026年2月27日 更新

Prioritize vulnerability remediation using KEV-style exploitation context plus asset criticality. Use for CVE triage, patch order decisions, and remediation reporting.

中文简介正在准备中。当前显示原文说明。

0x-Professor/Agent-Skills-Hub112026年2月27日 更新

Map application security findings to OWASP Top 10 categories and generate remediation checklists. Use for normalized AppSec review outputs and category-level prioritization.

中文简介正在准备中。当前显示原文说明。

0x-Professor/Agent-Skills-Hub112026年2月27日 更新

Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning workflows.

中文简介正在准备中。当前显示原文说明。

0x-Professor/Agent-Skills-Hub112026年2月27日 更新

查看 0x-Professor 的全部技能

报告此技能的问题