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@mingeon/opencode-blueprint

v0.3.0

Published

OpenCode plugin for structured plan-driven development — granular JSON task data, plan/implement/verify agents, compaction-safe state

Readme

@mingeon/opencode-blueprint

Structured plan-driven development for OpenCode. Three specialized agents, 26 custom tools, granular JSON task data, compaction-safe state tracking.

No markdown plans. No freeform documents. Every task, requirement, decision, and finding is an individual JSON file managed via tool calls.

Installation

npx @mingeon/opencode-blueprint init

That's it. This:

  1. Copies agent and command .md files into your project's .opencode/ directory
  2. Registers the plugin in opencode.json

When you start OpenCode, it automatically installs the npm package and loads the 26 plan_* tools via the plugin. No manual npm install needed.

Agents

| Agent | Persona | Role | |-------|---------|------| | Plan (Mira Chen) | Principal architect | Creates structured plans via interview-mode. Intent classification before planning. edit: deny — writes only via plan_* tools. | | Implement (Daniel Kessler) | Staff engineer, orchestrator | Reads task specs, delegates parallel tasks to @general subagents. Certainty protocol before implementation. | | Verify (Gene Hartley) | 23-year veteran auditor | Cross-references tasks against code. Delegates per-task checks to @explore subagents. Saves findings individually. |

Switch agents with Tab. Start implementation with /start-work <phase>.

Commands

| Command | Description | |---------|-------------| | /start-work <phase> | Activate work mode, begin implementing a phase | | /fix-plan | Process verification findings that target the plan |

Data Structure

All data lives in .plans/ and .reports/ as granular JSON:

.plans/
├── metadata.json                    # project meta + session state
├── overview.json                    # goals, stack, constraints
├── decisions/D-001.json             # individual design decisions
└── phases/{phase}/
    ├── metadata.json                # phase status, tracks, dependencies
    └── tasks/{TASK-ID}/
        ├── metadata.json            # task status, files, dependsOn
        ├── req-001.json             # acceptance criterion
        └── test-001.json            # test specification

.reports/
├── metadata.json                    # finding counts
└── findings/{V-ID}/
    ├── metadata.json                # severity, status, fixTarget
    ├── expected.json                # what the plan says
    ├── actual.json                  # what the code does
    ├── impact.json                  # what breaks
    └── resolution.json              # disposition + reason

Tools (26)

Project: plan_status, plan_overview_get, plan_overview_save, plan_meta_save, plan_init

Decisions: plan_decision_list, plan_decision_get, plan_decision_save

Phases: plan_phase_list, plan_phase_get, plan_phase_save

Tasks: plan_task_list, plan_task_get, plan_task_save, plan_task_set, plan_task_done, plan_task_next

Requirements/Tests: plan_req_save, plan_req_done, plan_test_save

Findings: plan_finding_list, plan_finding_get, plan_finding_save, plan_finding_resolve

Session: plan_note, plan_work_start

Plugin Hooks

  • Compaction — injects plan state (phase, task, constraints, notes) into continuation prompt
  • File protection — blocks direct edits to .plans/ (agents use plan_* tools instead)
  • Push reminders — appends task context after write/edit/bash tool executions
  • Continuation enforcer — auto-pushes when session goes idle with incomplete tasks

Parallel Execution

Tasks declare dependencies via dependsOn. plan_task_next computes all tasks with met dependencies. When multiple tasks are ready, the implement agent delegates each to a separate @general subagent for parallel execution.

Finding Disposition

Each verification finding gets resolved as:

  • accepted — finding is valid, fix applied (with action description)
  • rejected — finding dismissed (with reason)

Resolution includes resolvedBy (plan/implement/user), timestamp, and action taken.

Workflow

1. Tab → Plan agent → describe your project
2. Plan agent interviews you, creates structured plan data
3. /start-work <phase> → switches to Implement agent
4. Implement agent reads tasks, delegates parallel work to subagents
5. Tab → Verify agent → audits completed tasks against plan
6. /fix-plan → Plan agent processes verification findings
7. Repeat until done

License

MIT