agent-skill-engineer

Create, audit, and optimize Agent Skill packages with fixed-rubric evaluations.

4|2|Updated Sep 1, 2026
One-click install
npx skills add https://github.com/Procesio-Externals/procesio-cli --skill agent-skill-engineer-procesio-externals
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-skill-engineer
Source: https://github.com/Procesio-Externals/procesio-cli/tree/main/skills/agent-skill-engineer
Command: npx skills add https://github.com/Procesio-Externals/procesio-cli --skill agent-skill-engineer-procesio-externals

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) components.

What problem does it solve? Teams repeatedly encode agent workflows as ad-hoc prompts that are untested, overlapping, and impossible to improve systematically. This Skill turns repeated agent workflows into auditable Agent Skill packages with clear routing boundaries, progressive resources, and evidence-based optimization. ## Core Features & Use Cases - Skill authoring and restructuring: Scaffold new SKILL.md packages, split or merge skills, and route conditional detail into references, scripts, and assets. - Deterministic auditing: Run structural, frontmatter, secret-signature, reference-integrity, and fixed-rubric evaluation checks without model or network calls. - Controlled optimization: Optimize skills through bounded edits, held-out validation, rejected-edit memory, and an untouched final test set. - Use Case: Convert a repeated incident-triage workflow into a portable skill, then prove with paired baseline trajectories and fixed rubrics that the new package repairs failures without regressing existing successes. ## Quick Start Ask the agent to turn your repeated workflow into an Agent Skill package with a routing boundary, fixed-rubric evaluation cases, and a baseline comparison.

Frequently Asked Questions about agent-skill-engineer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an Agent Skill package with a SKILL.md file?▼

Run the bundled scaffold_skill.py helper with a name, root directory, and description to generate a path-confined draft package. It never overwrites an existing path, after which you ground the skill in real trajectories and define its trigger boundary.

How do I audit an Agent Skill for structural and security problems?▼

Run audit_skill.py against the skill directory to deterministically check frontmatter, description quality, reference integrity, secret signatures, placeholders, and fixed-rubric evaluation cases. It makes no model or network calls and supports a strict mode.

When should I not create an Agent Skill?▼

Do not create a skill for one-off prompts, volatile facts, or behavior that a type, schema, script, permission boundary, or test can enforce more reliably. The decision framework reference requires a recurring workflow, a model gap, and an observable outcome.

How do I optimize a skill without contaminating the evaluation?▼

Use bounded add/delete/replace edits derived from training trajectories, promote only on held-out validation, and run the untouched final test once after selection. The optimize_skill.py helper enforces fingerprints and edit budgets but final-test custody requires an external owner.

What dependencies does the skill audit script require?▼

The audit script requires Python 3.11+ and PyYAML, installed via pip install pyyaml. All other checks run locally with no network access.