Professional Creator With Beginner Guidance
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md to install @user_cae83fba/skill-creator-friendly-optimized.
About this skill
Problem Addressed
Agent Skill packages often fail not because of missing files, but because triggers are vague, workflows are not executable, exception handling is absent, and refactoring can overwrite original assets. This skill is for engineers who need to turn natural-language requirements, SOPs, or existing SKILL.md drafts into valid, deliverable packages, with clarification before generating a template.
How It Works
The core behavior combines standard structure, execution contracts, and safety boundaries:
- Mode selection: distinguishes beginner onboarding, fast drafting, and existing package optimization.
- Input diagnosis: checks goal, trigger phrases, input/output types, core steps, and safety limits.
- Standard output: fills in
SKILL.md,AGENTS.md,README.md, andpackage.json, normalizing YAML front matter andlower-kebab-casenames. - Automatic repair: fixes missing files, weak descriptions, and vague workflow steps while recording changes.
- Risk gating: pauses or refuses unsafe actions involving overwrites, privacy, credentials, or dangerous commands.
Boundaries
It is suitable for creating packages, fixing trigger, workflow, or error-handling issues, and turning processes into Skill assets. It does not decide business goals for the user; if requirements conflict, core goals are missing, or high-risk demands exist, it should list the conflicts and wait for a decision.
Use Cases
- Turn a customer refund approval SOP into an Agent skill package with clear triggers, I/O contracts, and exception branches.
- When a user only asks for a skill without inputs or outputs, clarify goal, trigger phrases, and acceptance criteria before drafting.
- Audit an existing AGENTS.md and README, then refactor them into a Skill package with front matter and quality checks.
- Fix a skill directory whose triggers are too broad, exception handling is missing, or original files may be overwritten, then output a safe copy.
Best For
- Automation engineers who need to package business SOPs into triggerable, executable Agent skills.
- LLM application developers who need to audit and refactor existing Skill package structure and exception handling.
- AI product engineering collaborators who want clarification before drafting a skill from incomplete requirements.
- Platform engineers maintaining SKILL.md, AGENTS.md, and delivery directory conventions.
Related Skills
Collects daily conversations, task logs, and errors, then runs a nine-module review to surface blind spots, generate actions, and update memory.
Local long-term memory for AI agents that appends key facts and daily logs, supports cross-session context and search recall, and auto-archives old diaries to gzip files.
Run a grilling session to interact with or test AI agents.
A systematic prompt optimization skill that refines prompts using a four-step distillation framework (diagnose, structure, think, compress) and methodologies from four prompting masters.