Skill Capture & Knowledge Manager FAQs

Question 1

Can I manually refine a skill after it is captured?

Accepted Answer

Absolutely. The skill is stored as a standard Markdown file (SKILL.md), allowing you to manually edit, improve, or update the content as your processes evolve.

Question 2

Does this skill handle sensitive information?

Accepted Answer

The distillation phase is specifically designed to generalize content, removing project-specific paths, sensitive data, and hardcoded values before persistence.

Question 3

How does Skill Capture identify what knowledge to save?

Accepted Answer

It monitors for explicit user requests like 'save this as a skill' and analyzes 'workflow completion signals'—such as solving a complex problem after multiple iterations or discovering valuable domain knowledge.

Question 4

Where are the captured skills stored?

Accepted Answer

Skills are persisted as local files in your repository's skills directory, following a standardized structure including a SKILL.md and a plugin.json file.

Question 5

What is the difference between a skill and a rule?

Accepted Answer

Skills are intended for multi-step procedural workflows and deep domain expertise, whereas rules are for simple 'always/never' style preferences or formatting conventions.

Skill Capture & Knowledge Manager

Key Features

Use Cases

Skill Capture & Knowledge Manager

Key Features

Use Cases