Cw Emergent

Emergent Capability

Purpose

Enable the agent to handle requests that don't map directly to a specific skill by composing primitives and existing skills into novel solutions.

This is what makes the system agent-native: the ability to figure out how to accomplish an outcome, not just execute predefined workflows.

Read ../../references/context-contract.md before composing a multi-artifact workflow. Respect the active project's source-of-truth files, provenance, destinations, and approval rules.

When This Applies

Use emergent composition when:

• Request spans multiple drafts or files
• Request requires pattern analysis across the body of work
• Request combines multiple types of feedback
• No single skill handles the full request
• User describes an outcome, not a command

Do NOT use when:

• A skill directly handles the request (use the skill)
• The request is a simple file operation
• The user invokes a specific command

The Composition Loop

When a request doesn't map to a skill:

1. Understand the outcome

   • What does success look like?
   • What would the user see/know when this is done?

2. Identify capabilities needed

   • What artifacts must be found, read, compared, or revised?
   • What maintained context or connected source must be loaded?
   • What draft, source, or destination operations are authorized?
   • What analysis operations? (compare, analyze voice, check AI)

3. Identify skills that help

   • Which existing skills apply to parts of the request?
   • Can skills be chained for the full solution?

4. Compose a solution

   • Chain primitives and skills together
   • Plan the sequence of operations

5. Execute in a loop

   • Work through the plan
   • Adapt if something unexpected comes up
   • Continue until outcome achieved or blocked

6. Report results

   • Summarize what was found/done
   • Offer next steps if applicable

Example Requests and Approaches

Judgment: When to Compose

Good candidates for composition:

• "Compare X across Y" — Analysis pattern
• "Find patterns in Z" — Discovery pattern
• "Check if A matches B" — Validation pattern
• "Make this better" — Improvement pattern
• "Help me with X" (vague) — Needs investigation first

Not good candidates:

• "Give me a hook" → Use /cw-hook directly
• "Does this bury the lede?" → Use /cw-bluf directly
• "Check my voice" → Use /cw-voice-check directly
• "Run the asshole read" → Use /cw-asshole directly

The Ultimate Test

Can the agent accomplish tasks you didn't explicitly design for?

Example: User asks "Cross-reference my meeting notes with my task list and tell me what I've committed to but haven't scheduled."

This wasn't designed as a feature. But if the agent can:

1. Read the meeting notes
2. Read the task list
3. Extract commitments from notes
4. Compare against tasks
5. Report the gaps

...then it's agent-native.

Failure Modes

If composition fails:

• Missing capability or access: Report what is unavailable
• Skill not available: Suggest manual alternative
• Too complex: Break into smaller requests
• Ambiguous: Ask for clarification

Never say "I don't have a feature for that" when composition could work.

Reporting Results

When composition completes, report:

1. What was requested
2. What was done (briefly)
3. What was found/achieved
4. Suggested next steps (if applicable)

Keep reports focused on insights, not process details.

Lessons

[Skill-specific lessons will be added here as they're captured]