Build a No‑Code AI Skill in 6 Simple Steps

Concept Overview

A Skill is a specialized AI app that acts like an operation manual for a smart but untrained assistant, turning it into a proficient worker.

Step 1 – Clarify Three Questions

Write down answers to (1) the specific problem to solve, (2) 2‑3 short, memorable trigger keywords, and (3) the exact output format and style. For example, replace a vague trigger "write article" with the more specific "public‑account article" to avoid conflicts with built‑in functions.

Step 2 – Create the Skill Folder

In WorkBuddy, navigate to Skills → Add Skill → Create Custom Skill . Fill the panel with an English‑only folder name (e.g., weekly-report), a concise description, and comma‑separated trigger keywords. The system creates an empty SKILL.md file.

Step 3 – Write SKILL.md

This file is the core manual. A minimal version includes a frontmatter block followed by sections such as:

Overview – what the skill does

Core Principles – prioritized rules

Workflow – step‑by‑step actions and referenced files

Notes – constraints like “no fabricated material”.

The author iterated five versions, starting with a single prompt line and gradually adding detail.

Step 4 – Prepare Reference Files

Reference files supply the concrete material the AI should use. For a writing Skill, the author listed 16 analogies (e.g., "large model = senior professor", "high concurrency = tea‑shop rush") in separate files. Loading only the first three files by default reduced token consumption by about one‑third.

Step 5 – Test and Refine

After saving, trigger the skill with @skill‑name and give a real task. Testing proceeds in three rounds:

Check each output against the defined standards and revise.

Change the topic to verify style consistency.

Supply edge‑case inputs (e.g., ask the skill to write poetry) to expose limits.

Through five revisions the author addressed AI‑style bias, added a blacklist, enriched the material library, adjusted structure, and optimized token usage.

Step 6 – Publish

For personal use, place the skill folder under ~/.workbuddy/skills/ or zip it for teammates. To share publicly, submit to SkillHub with complete frontmatter, an icon, and await a security scan. Scans classify skills as P0 (high‑risk, auto‑reject), P1 (requires confirmation), or P2 (safe).

Common Pitfalls

Overly generic trigger words cause conflicts; use specific phrases.

Bloated SKILL.md leads to high token costs; keep rules concise and move bulk data to reference files.

Neglecting edge‑case testing results in failures on unexpected inputs; add fallback instructions in SKILL.md to handle out‑of‑scope requests.