By ogabrielluiz
A collection of Claude Code skills that leverage parallel agent swarms for creative exploration, ideation, problem-solving, and multi-session orchestration
Use when you want to generate and explore a wide range of ideas for a creative or design challenge -- dispatches 10-20 parallel agents with dynamic, domain-adapted angles to produce diverse proposals, then presents them with structured evaluation for the user to choose from
Use when code has been written and is producing wrong results, when you suspect an implementation is incorrect but can't pinpoint why, when algorithm/logic/integration code needs verification against known-correct references, or when multiple fix attempts have failed to resolve an issue
Use when reviewing changes — a GitHub pull request by number, OR the current local diff (working tree plus branch vs upstream). Dispatches narrow specialist subagents (bugs and behavior, fit-to-codebase, spec adherence) in parallel, runs a validator that re-derives findings with probe scripts when feasible, filters by confidence. PR mode posts a pending (draft, unsubmitted) GitHub review; local mode presents findings in the conversation. Supports --scope to slice a large diff, --fix to apply findings as edits, and --comment (PR mode only) to submit instead of leaving pending.
Bootstrap and run the inbox-loops system — pick loops, configure them, materialize a self-contained inbox directory (file-per-task storage with an Obsidian Bases kanban view), and spawn one cron-armed background session per loop. Use when the user wants to set up, start, re-arm, check status of, or stop the PR / Jira / vuln / dispatcher inbox loops, or wants a kanban board of in-flight inbox work.
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A Claude Code plugin with skills that leverage parallel agent swarms for creative exploration, ideation, problem-solving, and implementation verification.
npx skills@latest add ogabrielluiz/parallel-minds
Pick the skills you want when prompted. Skills are installed globally and work with any coding agent that supports SKILL.md.
claude plugin marketplace add https://github.com/ogabrielluiz/parallel-minds
claude plugin install parallel-minds
Dispatches 10-20 parallel agents with domain-adapted creative angles to explore a design space, then presents structured proposals for you to choose from.
Invoke with /parallel-minds:creative-consensus or describe a creative challenge — the skill triggers automatically.
| Recipe | Agents | When to Use |
|---|---|---|
standard | 10 | Default — feature design, refactoring |
deep | 15 | Architecture decisions, complex features |
thorough | 20 | System design, irreversible decisions |
research | 15 | When existing codebase context matters |
adversarial | 10 | When stress-testing matters more than breadth |
Automatically detects the problem domain (systems architecture, API design, data modeling, security, DevOps, UX) and selects appropriate creative angles. Three mandatory roles always included:
Comparison table in three tiers:
Each idea includes: name, pitch, mechanism, effort, risk, reversibility, and failure mode.
Dispatches parallel verification agents to investigate whether an implementation is correct. Each agent takes a different verification angle — reference implementations, empirical tests, invariant checks, documentation comparisons.
Invoke with /parallel-minds:implementation-scrutiny or triggered automatically when code produces wrong results and initial fix attempts fail.
| Mode | Agents | When to Use |
|---|---|---|
fast | 3 core | Default — focused problem, clear domain |
full | 6-8 (core + domain) | Complex, multi-layered, or core agents disagree |
auto-escalate | 3 → 6-8 | Start fast, escalate if agents conflict or leave gaps |
Activated based on detected domain: numerical/dsp, web-backend/distributed, frontend, data/ml, database, security, or general.
Every finding must include a validatable artifact — an executable script or a verifiable URL. The calling agent validates every artifact before accepting it. Findings without valid artifacts are demoted to UNVERIFIED.
Structured findings report with severity tiers:
Validated test scripts persist to scrutiny/ for regression coverage.
Experimental. Relies on undocumented Claude Code behavior (
claude --bgbackground sessions andCronCreatescheduling). Crons are currently session-only, so loops do not survive a restart without re-running setup, and interfaces may shift between Claude Code versions.
Bootstraps a multi-session "inbox" task system. Producer loops (PR, Jira, Vuln) each scan a source on a staggered cron and emit "needs action" tasks into shared queue files. A dispatcher loop routes each task to an auto-dispatched consumer subagent or escalates it to the user via push notification. Every loop runs as its own cron-armed background session and self-re-arms near the 7-day cron expiry to stay live indefinitely.
Invoke with /parallel-minds:inbox-loops, or describe intent to set up, start, check status of, or stop the inbox loops.
| Loop | Emits into | Default cadence |
|---|---|---|
| PR | inbox-prs.md | 13 */3 * * * |
| Jira | inbox-tickets.md | 43 */3 * * * |
| Vuln | inbox-vulns.md (sensitive, local-only) | 33 */6 * * * |
| Dispatcher | routes the three inboxes | 23 * * * * |
npx claudepluginhub ogabrielluiz/parallel-minds --plugin parallel-mindsMulti-agent collaboration plugin for Claude Code. Spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any problem that benefits from diverse solutions. Evaluate by metric or LLM judge, merge the winner. 7 slash commands, agent templates, git DAG orchestration, message board coordination.
Multi-agent deliberation for AI coding assistants
Convene parallel role-specialized peer agents (dynamic roster, plan card first) to debate a cross-domain decision or audit a codebase in real time. Invoking Claude acts as CEO: convenes, routes peer-DMs, arbitrates deadlocks, writes a one-page decision log.
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.
Structured thinking and multi-perspective deliberation tools
Multi-agent adversarial review panel — 4-6 AI reviewers debate your code/plans, then a judge delivers a structured verdict with epistemic labels. Bundles plan-review-integrator for applying review findings back into implementation plans.