"I already have custom skills.
What does Straion add?"

A fair question. Custom skills work, up to a point. Here's an honest look at what skills do well, where they break down at team scale, and what Straion adds on top.

■ Short answer

Yes, and you should keep them.

Straion imports your existing skill files. Nothing you've built goes to waste.

"A skill is a file. Straion is a system."

Custom skills are binary: invoked or not, dumped whole into context or skipped entirely. Straion adds the layer that decides which rules matter for this specific task, and validates the AI's plan against them before a single line of code is written.

01

Skills are all-or-nothing.

When a skill fires, its entire content lands in context. The agent decides relevance after the fact, not before. For a 200-line rule set, most of it is noise for any given task and the trigger is just a title/description match.

02

Skills live in files. Teams live across repos.

One team's skill file becomes five repos' out-of-sync copies. New developers inherit whatever was current when someone last committed. There's no versioning, no central update, no visibility into what's actually being applied.

03

Validation happens in code review, not before.

Custom skills carry your rules into context. They can't check whether the AI's proposed plan actually follows them before execution starts. Straion catches violations at the plan stage, when fixing them costs nothing.


■ Comparison

Skills vs. Straion: Side by Side

Custom Skills Alone

  • Skill title/description determines if it fires (binary trigger)
  • Entire skill block dumped into context when invoked
  • No pre-execution validation of the AI's task plan
  • Rules scattered across repos, stale and out of sync
  • No visibility into which rules were applied or ignored
  • Violations caught in code review, after tokens are spent

With Straion

  • ML-powered matching selects only the rules relevant to this task
  • Minimal, targeted context injected, no noise
  • AI's task plan validated against rules before code is generated
  • One central hub: all repos, all teams, always current
  • Full visibility: which rules fired, which sessions drifted
  • Imports your existing CLAUDE.md, AGENTS.md, and skill files
■ What you gain

Four things skills can't give you

Granular Rule Matching

Straion reads the task, the file, and the history, then injects only the rules that matter. No all-or-nothing skill trigger. No context noise. Just the right guidance for the right task.

Pre-Code Plan Validation

Before the AI writes a single line, Straion checks its proposed approach against your rules. Violations surface at the plan stage, when they cost zero tokens and zero review cycles to fix.

One Rule Hub for the Whole Org

Define your standards once. Every developer, every repo, every AI session pulls from the same source. No more copy-paste drift across a dozen AGENTS.md files across a dozen repos.

Migrates What You've Built

Your CLAUDE.md, AGENTS.md, and custom skill files import directly into Straion. The work you've already done becomes the foundation, Straion makes it smarter and centrally managed.

■ Related comparison

Also comparing Straion vs AGENTS.md?

If you're using AGENTS.md files across your repos, see how Straion scales that guidance at team level.

Straion vs AGENTS.md →

Custom skills vs Straion, answered

What is the difference between custom skills and Straion?
A custom skill is a file that loads a block of instructions into an AI coding agent when its title or description matches the task. Straion is a governance layer that stores your standards as structured, version-controlled rules, selects only the rules relevant to each task, and validates the agents plan before code is written. A skill is a file; Straion is a system.
Can I import my existing custom skills into Straion?
Yes. Straion ingests your existing skill files, along with your CLAUDE.md and AGENTS.md, and turns them into structured, managed rules. The work you have already done becomes the foundation, so there is nothing to rewrite from scratch.
Why do custom skills stop working at scale?
Skills are all-or-nothing: when one fires its entire content lands in context, and the trigger is just a title or description match. Across many repos and engineers, skill files get duplicated and drift out of sync, you have no visibility into which rules the agent actually used, and validation only happens later in code review. Research also shows that dumping every rule on the agent regardless of the task reduces resolve rates and inflates cost.
Does Straion work with Claude Code, Cursor, and GitHub Copilot?
Yes. Straion is a tool-agnostic governance layer. The same rules apply across Claude Code, Cursor and GitHub Copilot, so you maintain one source of truth instead of one skill file per tool.

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what you're missing

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Works with Claude Code, GitHub Copilot & Cursor.

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