Building a subagent spell

Building a Subagent Spell

What this does

Specialist builder for kind: subagent spells. A subagent spell dispatches one or more helper agents — each with no context but what you hand it — and aggregates their results.

Used when: the work has independent pieces that can run in parallel, or when the work needs isolation from the main conversation.

When to use

• Routed to from building-a-spell Stage 2 when kind: subagent
• User describes work that has multiple independent parts ("research these 5 things", "review each chapter separately")

What you bring (Inputs)

• The task that has independent parts
• The unit of work each subagent will handle
• The aggregation strategy (how to combine results)

What you get (Output)

A draft SKILL.md with explicit Parallelism, Context handed to each subagent, Aggregation, and Partial-failure handling sections.

How it works (Steps)

This is a workflow.

Stages

Stage 1: Identify the unit of independence

Ask the user: "What's the smallest piece that one helper could do alone, given just the task and a few sentences of context?"

If you can't name it, this isn't a subagent kind. Re-route.

If the units depend on each other, name the dependency — you may need to dispatch in waves rather than all in parallel.

Stage 2: Decide parallelism

Pattern	When
All-parallel	Units are fully independent (5 different companies to research)
Wave-parallel	Units have a partial order (research 5 companies, then compare top 3)
Serial	Each unit's output influences the next; consider if this is really a workflow kind

Document the chosen pattern in ## Parallelism.

Stage 3: Declare context-flow EXPLICITLY

Subagents are stateless. They get only what you hand them. This is the section users get wrong most often.

Write ## Context handed to each subagent as a literal list:

## Context handed to each subagent

Each subagent receives EXACTLY:

1. <field 1>: <description>
2. <field 2>: <description>
3. <field 3>: <description>

Each subagent does NOT receive:

- The user's full conversation history
- Other subagents' progress or outputs
- Any state from prior dispatches in this session

If you find yourself wanting to hand the subagent "the full context," you don't need a subagent — you need a workflow stage.

Stage 4: Define aggregation

How are results combined?

Pattern	Mechanism
Union	All results listed, deduped
Pick-one	Best result selected by named criterion
Weighted vote	Each result scored; weighted sum
Sequential refinement	First result is base; later results layer on

Document in ## Aggregation.

Stage 5: Plan partial-failure handling

Subagents fail. Some return junk, some time out, some refuse the task.

For each failure mode, name the response:

• Subagent times out: <re-dispatch with shorter scope / give up that unit / fall back to inline>
• Subagent returns nonsense: <discard that unit / re-dispatch with stricter framing>
• Subagent refuses: <re-frame the task / split further / inline-fallback>

Document in ## Partial-failure handling.

Stage 6: Hand off to standard tester

Standard mode tester runs 2 scenarios:

1. Happy path: all subagents succeed. Verify aggregation.
2. Partial failure: one subagent returns junk. Verify failure handling.

Stage 7: Hand back to meta-builder

Return the PASSing draft.

Checkpoints

• After Stage 1: unit of independence is named and atomic
• After Stage 2: parallelism pattern chosen and rationale recorded
• After Stage 3: context-flow declared as a literal list of fields
• After Stage 4: aggregation pattern named
• After Stage 5: at least 3 failure modes have responses
• After Stage 6: tester PASSed both happy and partial-failure scenarios

Loop-back conditions

Return to Stage 1 when:

• The "unit" turns out to need other units' outputs — this is workflow, not subagent
• The aggregation requires too much context to be useful — re-think the unit boundary

Quality bar

The draft is good enough when:

• Context handed to each subagent is a literal explicit list (no "the relevant context")
• Failure modes have concrete responses
• Tester ran the partial-failure scenario, not just happy path

Variations

• Single dispatch (one subagent, used for isolation): degenerate parallelism = 1
• Recursive subagents (subagents that themselves dispatch subagents): require explicit depth limit
• Long-running subagents: complexity becomes long-running

Example

Subagent skill: researching-five-things-in-parallel
Unit: "research one company"
Parallelism: all-parallel (5 subagents)

Context handed to each subagent:
  1. Company name
  2. The 4 attributes to research (per-company, identical)
  3. The output schema (markdown table row)
  Subagent does NOT receive: other companies' results, user's broader goal

Aggregation: union, sorted by company name, formatted as a single table

Partial-failure handling:
  - Timeout: re-dispatch with "summarize in 50 words max"
  - Junk: discard, mark row "<RESEARCH FAILED>"
  - Refusal: inline-fallback (lead agent does that one company)