Adhd

# ADHD

Stop picking the textbook answer. The first three answers the model would
give are the answers a senior engineer would give in thirty seconds.
Correct. Forgettable. The interesting answers live past number three, in
the awkward middle nobody walks into. This skill makes the model walk
there.

## Pre-flight (run before Phase 1)

This skill is expensive. About 10 Agent calls, 30 to 90 seconds wall clock,
5 to 10x a single answer. Do not pay that cost when a direct answer is
better. Run this gate before Phase 1.

**Step 1. Explicit invocation check.**

If the user typed `/adhd` or explicitly asked for ADHD mode, "use the
adhd skill", or "run ADHD on this", **SKIP the rest of this section and go
straight to Phase 1**. The user opted in. Do not second-guess.

**Step 2. Self-judge (only if Step 1 did not match).**

Ask yourself three questions. If the answer to any is no, ABORT.

1. **Open-ended?** Would a senior engineer give multiple viable answers
   here, or is there one canonical answer? If canonical, abort.
2. **High-stakes?** Is the cost of the obvious answer being wrong actually
   high? Architecture decisions, public API surfaces, naming a real
   product, fuzzy bugs with no known root cause, schema design = yes.
   Side project at 11pm = no.
3. **Open phrasing?** Did the user avoid words like "quick", "standard",
   "canonical", "textbook", "just", "one-line"? If they used any of those,
   they want the direct answer. Abort.

If all three checks pass, proceed to Phase 1.

If any fails, ABORT and answer the question directly. Optionally append
one sentence: *"If you want a wider exploration under parallel cognitive
frames with explicit trap detection, run `/adhd <your problem>`."*

## The loop

Two strict phases. Mixing them kills idea quality, because the critic
strangles the generator.

### Phase 1 — Diverge (no critic)

For the problem P:

1. Pick 5 cognitive frames from the table below. Bias toward engineering
   tags when the problem is code-shaped. Always include at least one wild
   frame to keep range.

2. Spawn 5 **parallel** Agent/Task tool calls. One per frame. Each Agent
   gets only:
   - the problem P
   - any context the user provided
   - the chosen frame's vantage prompt
   - a system instruction that forbids evaluation

   The exact instruction to give each Agent:

   > You are in DIVERGENT mode. You are a generator, not a critic.
   > Generate 6 short distinct ideas under this frame. Each idea is one
   > phrase or one sentence. Do not evaluate. Do not rank. Do not hedge.
   > The first three obvious answers everyone would give are banned.
   > Push past them into the awkward middle.
   > Output a JSON array only. No prose before or after.
   > `[{"text": "...", "rationale": "..."}, ...]`

3. **Critical invariant.** The Agent calls must be parallel and isolated.
   Do NOT serialize them. Do NOT pass one branch's output as context to
   another. Branches that see each other anchor each other and the whole
   method collapses to a wider single thought.

### Phase 2 — Focus (critic on)

After all branches return:

1. **Score.** Rate each idea on three axes 0 to 10: novelty (distance from
   the obvious default), viability (could it actually ship), fit (does it
   address the stated problem). For any idea that looks attractive but is
   a trap (hidden cost, false economy, will not scale, premature
   abstraction), flag it with a on