Skills - Ultron

A skill is a focused AI sub-agent with its own model, tool set, token budget, and instructions. You don’t configure skills — you describe what you need and Ultron routes to the right one.

How skill execution works

You: "Write a cold email to the Head of Growth at Linear."
    ↓
Chat detects intent → routes to cold-email skill
    ↓
Skill loads: model=kimi-k2, maxTurns=8,
  tools=[web_search, scrape_website, lookup_leads, save_content]
    ↓
Context built:
  ├── Your business profile (ICP, voice, competitors)
  ├── Past cold emails in memory (what worked, what didn't)
  └── Relevant lessons (quality gate failures, style corrections)
    ↓
Kimi K2 runs the skill agent loop:
  ├── web_search("Linear Head of Growth 2026")  ← parallel
  ├── scrape_website("linear.app")              ← parallel
  └── lookup_leads("Linear")
    ↓
Email drafted → 6-point quality gate applied → passed
    ↓
Result returned to chat
Memory saved: ["skill-run", "sales", "cold-email"]
Activity logged

Concurrency

Max 2 skills run simultaneously per session. If you invoke a third while two are active, it queues and starts the moment a slot opens. Rate limits (429 responses) trigger exponential backoff (1s → 2s → 4s) with up to 3 retries.

Execution modes

Mode	How it works	Best for
Inline	Skill continues in the main conversation thread	Short tasks, iterative work
Fork	Skill runs as isolated child agent, results returned	Long research, heavy tool use

Skills by category

Research

Competitive analysis, company deep-dive, pricing research, meeting prep.

Lead Generation

Find decision makers, ICP matching, lead scoring, trigger events.

Sales

Cold email, follow-up sequences, objection handling, pre/post call.

Content

LinkedIn posts, social content for all platforms.

Operations

Morning briefing, pipeline review.

How skills work

Invocation, progress streaming, memory auto-save.

Using Skills

​How skill execution works

​Concurrency

​Execution modes

​Skills by category