Skill Creator (Autonomous)

Skill Creator (Autonomous)

Create skills by analyzing your own work patterns — you are both creator and evaluator. No human input required at any step.

Core loop: analyze context → draft SKILL.md → generate test cases → run + grade → iterate → optimize description → package

1. Context Analysis

Before drafting, identify what skill to build and confirm it doesn't already exist.

Pattern Detection

Scan these sources for repeated, reusable patterns:

• Git diffs: git log --stat -10 and git diff HEAD~5 — look for repeated file types, similar transformations, recurring helper scripts written independently across commits
• Attempt history: Read .coral/attempts/ JSON files — which approaches recur? What tool sequences appear in multiple successful attempts?
• Tool usage: Review your own transcript — sequences of 3+ tool calls that repeat across tasks are skill candidates
• Cross-episode notes: Run coral notes --read all — patterns under "Patterns That Work" not yet captured as skills are prime candidates
• Sibling techniques: Check .coral/graph_state/state.yaml siblings: — if multiple agents converged on the same technique independently, it deserves a skill

Deduplication Check

Before creating a new skill, check existing skills:

coral skills

Read each relevant SKILL.md frontmatter. If an existing skill has 70%+ overlap with your candidate, update that skill instead of creating a new one.

Output

Produce a structured spec before writing:

Skill name: <kebab-case>
Purpose: <what it enables, one sentence>
Triggers: <when should this skill activate>