swarm

name	swarm
description	Enable a high-quality swarm-like workflow for the current session, and optionally execute a task immediately using that mode. Uses parallel subagents for breadth, independent reviewer validation for precision, and critic challenge for final confidence. Use when the user wants swarm-like behavior, higher review rigor, or maximum quality without sacrificing the agent runner's native speed.
disable-model-invocation	true
argument-hint	[optional task]

/swarm

Enable swarm mode for the current session. If arguments are provided, enable swarm mode first and then execute that task using the swarm-like implementation workflow.

Argument handling:

• If no arguments are provided: only enable swarm mode.
• If arguments are provided: enable swarm mode, then treat $ARGUMENTS as the task to execute immediately.

Examples:

• /swarm
• /swarm implement OAuth login without breaking existing session handling
• /swarm fix the failing auth refresh tests and verify the session flow
• /swarm refactor this parser safely and check for regressions

Goal

Turn the agent runner into a swarm-like orchestrator while preserving its native speed advantages.

What this mode changes

When enabled, the agent should:

• use parallel subagents aggressively for disjoint exploration, codebase mapping, and specialist review
• separate candidate generation from validation
• use independent reviewer and critic contexts that are explicitly skeptical and suspicious
• avoid letting implementation and verification happen in the same context when verification quality would benefit from separation
• keep quality as the only metric that matters
• treat time pressure as nonexistent
• preserve the runner's native strengths: parallel subagents, scoped exploration, and fast synthesis
• protect speed by spending the deepest validation effort only where it materially reduces ship risk

Quality and speed policy

Code quality and pre-ship defect detection are paramount. Speed still matters. The point of swarm mode is not to recreate slow serial swarm behavior inside the runner. The point is to keep the runner fast by parallelizing everything that can safely be parallelized while preserving a strict validation architecture.

That means:

• parallelize breadth aggressively
• validate in depth selectively based on risk
• avoid running the heaviest critic loop on every low-value issue
• spend the most time on correctness, security, edge cases, regressions, and claimed-vs-actual mismatches
• keep low-risk nits cheap

If a workflow step does not materially improve quality, correctness, or trust, keep it lightweight or skip it. If a workflow step prevents real bugs from shipping, keep it even if it costs time.

Default triage model

Use this default escalation ladder:

1. Parallel exploration and mapping for breadth
2. Parallel specialist review for disjoint concerns
3. Independent reviewer validation for findings that are high-risk, ambiguous, cross-file, or likely false-positive-prone
4. Critic challenge only for reviewer-confirmed high-impact findings or when confidence is still not high enough

Do not force every task through every layer if the extra layer adds cost but not quality. Do not force high-risk work through the full ladder.

High-risk work includes:

• auth, authz, permissions, identity, session handling
• payments, billing, data mutation, destructive actions
• dependency changes, install scripts, lockfile changes
• public API changes, schema changes, migrations
• concurrency, retries, state machines, caching, queueing
• security-sensitive parsing, file access, subprocesses, secrets

Lower-risk work can use a lighter path if evidence is strong:

• docs-only changes
• localized refactors with strong existing test coverage
• small UI copy changes
• isolated low-risk cleanup with no behavior change

Enablement steps

1. Create .zcode/session/ if it does not exist. (For this repo's primary runner, ZCode, the session dir is .zcode/session/. A secondary runner with a different session-dir convention should adapt this path.)
2. Create or overwrite .zcode/session/swarm-mode.md with the exact content below.
3. Confirm that swarm mode is now enabled for this session.
4. For the user's next complex task, follow the swarm-mode contract automatically unless the user disables it.

Write this exact file:

# Swarm Mode Contract

Swarm mode is enabled for this session.

## Core principles
- Quality is the only success metric.
- There is no time pressure.
- There is no reward for finishing in fewer passes.
- Large tasks require more disciplined verification, not less.
- Use parallel subagents whenever scopes are disjoint and doing so does not reduce quality.
- Keep breadth, validation, and final challenge in separate contexts when possible.

## Role model
- Explorer role: fast, broad, cheap, suspicious mapper and candidate generator
- Reviewer role: independent validator of candidate findings, hyper-critical and skeptical
- Critic role: final challenger of reviewer-confirmed findings, hyper-suspicious and willing to overturn weak claims
- Main thread: architect/orchestrator that assigns scopes, persists state, and synthesizes only validated outputs

## Hard rules
- Explorer findings are candidate findings, not final findings.
- Candidate findings should be validated by an independent reviewer context before being treated as confirmed whenever the task is important enough to justify it.
- Reviewer should default to DISPROVED or UNVERIFIED unless the finding is actually supported by code evidence and, when relevant, runtime-aware verification.
- Critic should challenge reviewer-confirmed findings in small batches.
- If quality and speed conflict, quality wins.
- Do not batch more aggressively or skip validation because the repo is large.
- Premature completion is a failure state.

## Parallelism policy
Use parallel subagents for:
- repository mapping
- subsystem investigation
- test analysis
- security review
- performance review
- dependency review
- docs/release drift review
- candidate-finding validation when clusters are disjoint
 changed-area impact analysis
 implementation planning across disjoint modules

Do not parallelize tasks that edit the same files unless the workflow explicitly isolates them.
Parallelism is the default speed lever.
Use it aggressively wherever scopes are disjoint.
Serial work is for synthesis, conflict-prone edits, and final high-confidence validation.


 Explore and map in parallel.
 Build a plan.
 Implement in scoped units.
 Validate with independent reviewer context.
 Challenge with critic context when needed.
 Synthesize only validated results.


Ignore these thoughts:
 "This is probably fine"
 "The broad reviewer is good enough"
 "I can save time by merging validation stages"
 "This repo is too large to review this carefully"
 "I should move on because this is taking too long"

If any of those appear, slow down and return to the workflow.

How to behave after activation

For subsequent complex tasks in this session:

• spawn subagents in parallel for disjoint scopes
• use one or more reviewer subagents to validate findings from explorer subagents or to validate implementation quality
• use critic subagents only after reviewer validation, not as the primary false-positive filter
• synthesize outputs with explicit status labels such as candidate, confirmed, disproved, unverified, or pre-existing when useful
• keep the main context clean by pushing reading-heavy work into subagents

If a task argument was provided

After enabling swarm mode, immediately execute $ARGUMENTS using this swarm-like implementation ladder:

1. Determine exact scope and success criteria.
2. Launch parallel exploration for disjoint investigation work.
3. Create a scoped plan.
4. Implement in coherent units.
5. Run objective verification. Before any push or PR, run the ci-compatibility-audit skill so this repo's CI gates (backend ruff, frontend typecheck/lint/test/build, quality-contract scripts) are green locally first — a CI-only lint or type failure costs a full push → fail → fixup-commit round trip. Behavioral-change test trap: When a change intentionally modifies behavior (not just adds it), search for pre-existing tests that assert the OLD behavior before pushing. These tests will fail CI even when the change is correct. Update them with a comment explaining why the old assertion is superseded. The ci-compatibility-audit local run catches the failure, but the root cause (a test asserting stale behavior) is easy to misread as a regression.
6. Use independent reviewer validation where risk justifies it.
7. Use critic challenge only for high-impact or still-ambiguous results.
8. Summarize what changed, what was verified, and what risks remain.

Do not treat the presence of $ARGUMENTS as permission to skip the swarm-mode contract. The task must still follow the quality, speed, and risk-tiering rules above.

Suggested subagent prompts

When you need an explorer-style subagent, tell it:

• map the assigned scope quickly
• find candidate issues only
• be broad and suspicious
• return exact file/line references
• do not present findings as final truth

When you need a reviewer-style subagent, tell it:

• validate candidate findings from another subagent
• be hyper-critical and default to disbelief
• actively look for mitigating context that disproves each candidate
• use runtime-aware validation when safe and needed
• classify each item as CONFIRMED, DISPROVED, UNVERIFIED, or PRE_EXISTING

When you need a critic-style subagent, tell it:

• challenge reviewer-confirmed findings in small batches
• look for overclaimed severity, weak evidence, missing sibling-file checks, and poor actionability
• prefer removal over noisy weak inclusion

Notes

• This skill enables swarm mode for the current session by writing a session file.
• It does not permanently change project behavior.
• Re-run /swarm if needed after clearing or resetting session context.