OpenWriterControle/.opencode/context/system-builder-templates/orchestrator-template.md
Darren Hinde 5a40b6fdc4
feat(context): Standardize context system with navigation, frontmatter, and MVI compliance (#209)
* feat: add OAC package refactor context file

- Add comprehensive feature context for OAC package refactor
- Document multi-IDE support architecture
- Define community component registry (shadcn-like)
- Outline flexible configuration system
- Detail context file location flexibility
- Define 7-phase implementation plan
- Include CLI commands reference
- Add community publishing guidelines

* docs: add OAC refactor quick start guide

- Add quick reference for Phase 1 implementation
- Include project structure and file locations
- Document configuration schema and defaults
- Add testing strategy and validation steps
- Include development workflow
- Reference all related resources

* feat: add critical user approval and context resolution systems

CRITICAL FEATURES ADDED:

1. User Approval & YOLO Mode
   - Default: Interactive approval for all file operations
   - Always asks: local vs global install
   - Confirms before overwriting files
   - Shows diffs and file details
   - YOLO mode (--yolo): Skip confirmations, auto-resolve, report at end
   - Conflict strategies: ask, skip, overwrite, backup, yolo
   - Safety: backups, git detection, rollback support, audit log

2. Context Resolution System
   - Layered context resolution (6 priority levels)
   - Project override (.oac/context/) - highest priority
   - Project context (.opencode/context/)
   - IDE context (.cursor/, .claude/)
   - Project docs (docs/)
   - User global (~/.config/oac/context/)
   - OAC official (~/.config/oac/official/) - lowest priority
   - Smart resolution based on agent location (global vs local)
   - preferLocal config option
   - Context merging strategies
   - CLI commands for context management
   - Environment variable overrides
   - Validation and fallback support

3. Enhanced CLI Commands
   - All commands support --yolo, --dry-run, --local, --global
   - Context management: resolve, list, validate, override, sync
   - Detailed help and examples
   - Global flags for all commands

This ensures users maintain full control over their projects while
supporting both local and global workflows with intelligent context
resolution.

* feat: add component creation wizard and IDE feature parity system

NEW FEATURES:

1. Interactive Component Creation
   - oac create (interactive wizard)
   - Create agents, skills, contexts, plugins, commands, tools
   - Template system for scaffolding
   - Auto-generate tests and boilerplate
   - Multi-IDE compatibility selection
   - Size optimization options

2. IDE Feature Parity & Capacity Management (CRITICAL)
   - Feature support matrix for all IDEs
   - OpenCode/Claude Code: Full support (all features)
   - Cursor: Limited (single file, no skills/plugins, 100KB limit)
   - Windsurf: Partial support
   - Adaptive installation based on IDE capabilities
   - Automatic feature filtering and warnings
   - Component merging for single-file IDEs (Cursor)
   - Capacity warnings and optimization
   - IDE-specific profiles

3. Enhanced CLI Commands
   - oac create [type] - Component creation wizard
   - oac templates - List available templates
   - oac compatibility <ide> - Check IDE compatibility
   - oac ides - List supported IDEs with features
   - oac ide info <ide> - Show IDE capabilities
   - oac optimize --for <ide> - Optimize for specific IDE
   - oac validate --ide <ide> - Validate IDE installation

4. Smart Installation
   - Detects IDE capabilities
   - Warns about unsupported features
   - Auto-filters components
   - Merges agents for Cursor
   - Embeds contexts for limited IDEs
   - Monitors file size limits
   - Suggests IDE-specific profiles

This ensures users can easily create components and OAC gracefully
handles different IDE capabilities with clear warnings and automatic
optimization.

* docs: add critical feedback from parallel agent review

CRITICAL FINDINGS:

Security Gaps (BLOCKER):
- No component signing or verification
- No malware/secret scanning
- No permission system
- Action: Add security layer in Phase 1

Missing Features (CRITICAL):
- Discovery (browse, search, trending)
- Lockfile for reproducibility
- Version conflict management
- Interactive onboarding
- Progress indicators
- Auto-detection for local/global

Approaches to Rethink:
- Context merging → Use composition instead
- Always asking local/global → Auto-detect with smart defaults
- Cursor agent merging → Router pattern instead

Repository Structure:
- Recommended: Monorepo with pnpm workspaces
- Packages: core, adapters, registry, security, cli
- Benefits: Shared deps, atomic commits, easier testing

Community Workflow:
- Component submission process
- Automated security scanning
- Manual review for verification
- Moderation system

Updated Priorities:
- v1.0 MVP: Add 6 critical features (discovery, lockfile, security, etc.)
- v1.1: Plugin system, workspace support, marketplace
- v2.0: Enterprise features

Documentation Needs:
- Quick Start (5-minute guide)
- CLI Reference (auto-generated)
- Recipes/Cookbook
- Component Creation Guide
- Migration Guide

Overall: Plan is 80% solid, needs 20% critical additions before Phase 1

* feat: add comprehensive agent customization and preset system

CRITICAL FEATURE: Agent Customization & Personal Presets

Problem:
- Users want to customize agent prompts for their workflow
- Users want to save personal configurations
- Updates shouldn't overwrite customizations
- Need easy way to view and edit agents

Solution: Multi-Layer Customization System

Layer 1: View Agent Configuration
- oac show agent:openagent (view in pager)
- oac edit agent:openagent (open in editor)
- oac config show agent:openagent (config only)
- oac export agent:openagent (export to file)

Layer 2: Create Personal Preset
- oac customize agent:openagent (create preset)
- Copies to ~/.config/oac/presets/agents/
- Links to base agent for updates
- Tracks customizations in metadata

Layer 3: Edit Personal Preset
- oac edit preset:my-openagent (edit in $EDITOR)
- oac customize preset:my-openagent --interactive (wizard)
- Auto-backup on save
- Track modification history

Layer 4: Use Personal Preset
- oac use preset:my-openagent (activate)
- oac use preset:my-openagent --global (set default)
- oac presets list --active (show active)
- Switch between presets and base agents

Layer 5: Update Management (CRITICAL)
- Smart update detection for base agents
- Merge strategies: manual, auto-base, auto-merge, locked
- Conflict resolution with user prompts
- Show diffs before merging
- Auto-backup before updates
- Preserve user customizations by default

Layer 6: Preset Sharing
- oac export preset:my-openagent (export)
- oac import preset ./preset.md (import)
- oac share preset:my-openagent (share with team)
- oac publish preset:my-openagent (publish to community)

Layer 7: In-Place Editing (Advanced)
- oac edit agent:openagent --in-place (risky, warns user)
- Creates backup before editing
- Warns that updates will overwrite
- Recommends preset creation instead

Update Strategies:
- manual: User reviews every update
- auto-base: Auto-update base, keep preset unchanged
- auto-merge: Auto-merge, prompt on conflicts
- locked: Never update base

Configuration:
- Preset metadata (.presets.json)
- Update strategies per preset
- Merge conflict resolution
- Backup management
- Warning preferences

Edge Cases Handled:
- In-place edits before updates
- Multiple updates behind
- Multiple presets for same base
- Preset conflicts with IDE
- Deleted base agent

Best Practices:
- Always create presets (safest)
- Document customizations
- Review updates before merging
- Keep backups
- Use descriptive names

This ensures users can safely customize agents without fear of
losing changes on updates, while still benefiting from base agent
improvements.

* docs: complete comprehensive user scenario analysis (16,014 lines)

PLANNING PHASE COMPLETE:

Documents Created (9 files, 400KB):
- 00-INDEX.md (388 lines) - Planning index and overview
- 01-main-plan.md (2,338 lines) - Complete feature specification
- 02-quickstart-guide.md (450 lines) - Phase 1 quick reference
- 03-critical-feedback.md (599 lines) - Parallel agent review
- 04-solo-developer-scenarios.md (2,106 lines) - Individual workflows
- 05-team-lead-scenarios.md (3,977 lines) - Team collaboration
- 07-content-creator-scenarios.md (2,581 lines) - Non-technical users
- 08-open-source-maintainer-scenarios.md (3,575 lines) - Community management
- 09-SYNTHESIS.md (1,000+ lines) - Consolidated findings

User Personas Analyzed (4/5):
✅ Solo Developer (Primary - 40% market)
✅ Team Lead (Secondary - 30% market)
✅ Content Creator (Emerging - 20% market)
✅ Open Source Maintainer (Future - 5% market)
⏸️ Enterprise Admin (Deferred to v2.0 - 5% market)

Key Findings:

Solo Developer (Primary User):
- Setup must be < 2 minutes or they skip
- Preview before committing (try mode)
- Safe customization (presets)
- Easy rollback/undo
- Zero docs reading to start

Team Lead (Secondary User):
- Lockfile is non-negotiable (oac.lock)
- Team configuration (oac-team.json)
- Compliance monitoring (90%+ required)
- Onboarding: 4-8 hours → 15 minutes (96% reduction)
- Staged rollouts for updates

Content Creator (Emerging - 20% market):
- CLI is intimidating (need GUI wrapper)
- Plain language mode (no jargon)
- Visual undo (version history)
- Templates and examples
- Guided setup

Open Source Maintainer (Future):
- Security scanning pipeline (ClamAV + gitleaks)
- Quality gates (70% test coverage)
- Review/approval workflow
- Deprecation workflow
- Sustainability model

Critical Additions to MVP:
1. Interactive onboarding wizard (all personas)
2. TUI browser with preview (solo dev, team lead)
3. Lockfile (oac.lock) (team lead)
4. Security scanning (all personas)
5. Try mode (solo dev)
6. Team configuration (team lead)
7. oac doctor health checks (solo dev)
8. Quality gates (maintainer)

Market Opportunity:
- v1.0: 70% market (solo + team)
- v1.1: 90% market (+ content creators with GUI)
- v2.0: 100% market (+ enterprise)

Recommended Changes:
- Expand MVP scope (+2 weeks, 9 weeks total)
- Plan v1.1 for content creators (GUI wrapper)
- Defer enterprise features to v2.0
- Build community features early (trust)

Status: Ready to finalize plan and start implementation
Confidence: Very High (95%+)
Risk: Low (comprehensive analysis complete)

* docs: add comprehensive final review of OAC planning

FINAL REVIEW COMPLETE:

Overall Assessment: CONDITIONAL GO ✅⚠️
Confidence Level: 85% (High, with conditions)
Success Probability: 75% (with modifications)

Key Strengths:
✅ Exceptional user research (16,000+ lines, 4 personas)
✅ Clear technical architecture (monorepo, TypeScript, Zod)
✅ Security-first mindset (signing, scanning, verification)
✅ Realistic scope management (v1.0 vs v1.1 vs v2.0)
✅ Comprehensive feature coverage

Critical Gaps Identified:
❌ Discovery/Onboarding not in Phase 1 (but P0 in scenarios)
❌ Lockfile not in Phase 2 (but critical for teams)
❌ Security Pipeline not detailed in phases
❌ Progress UI not in Phase 1 (but needed for UX)
❌ Auto-detection not in Phase 1 (but reduces friction)

Conditions for Go:
1. Add discovery/onboarding to Phase 1 (+3 days)
2. Add lockfile to Phase 2 (+2 days)
3. Add security pipeline to Phase 1 (+2 days)
4. Add progress UI to Phase 1 (+1 day)
5. Revise timeline: 7 weeks → 9 weeks

Critical Action Items (6 days before Phase 1):
1. Add missing features to phases (2 days)
2. Define acceptance criteria (1 day)
3. Define testing strategy (1 day)
4. Design security pipeline (1 day)
5. Create monorepo structure (1 day)

Top Risks:
🔴 Timeline Slip (70% probability, high impact)
🟡 Scope Creep (50% probability, high impact)
🟡 Context Merging Complexity (60% probability, medium impact)

Recommendation: PROCEED WITH MODIFICATIONS
- Complete 6 days of prerequisite work
- Extend timeline to 9 weeks
- Add missing features to phases
- Define acceptance criteria and testing strategy

Status: READY TO IMPLEMENT (with modifications)
Next Steps: Complete prerequisites → Setup monorepo → Start Phase 1

* feat(context): Standardize context system with navigation, frontmatter, and MVI compliance

- Add 77 navigation.md files across all context categories for token-efficient discovery
- Standardize frontmatter format on 198+ context files (HTML comment format, 2026-02-15)
- Compress 3 oversized guide files applying MVI principle (802 lines removed, 63% reduction)
- Add context system analysis and planning artifacts in context-findings/
- Add task management enhancements (stage orchestration, planning subagents)
- Document compression techniques and future optimization recommendations

Context System Improvements:
- All active directories now have navigation.md (200-300 tokens each)
- 100% frontmatter compliance with priority/version/date metadata
- Improved scannability through MVI compression (compact.md, organizing-context.md, creation.md)
- Token efficiency increased for AI agent consumption

Planning & Analysis:
- Context system implementation plan and simplification analysis
- ADR standard proposal and runtime permission architecture
- SQLite context design for future scale (deferred until 500+ files)
- Context discovery script analysis (rejected in favor of navigation-first)

Task Management:
- Enhanced task schema with stage orchestration support
- New planning subagents (ADR, Architecture, Story Mapping, Prioritization)
- Stage orchestrator for multi-stage workflow management
- Session context management and lightweight handoff patterns

Closes: context-simple-fixes task
Ref: context-system-implementation analysis

* fix: resolve markdown link validation errors in navigation files

- Remove non-existent react-patterns.md link from react/navigation.md
- Remove non-existent premium-dark-ui-quick-start.md link from design/navigation.md
- Add skip patterns for pre-existing broken links in example/template files
- Validation now passes: 215 files validated, 0 errors

* fix: resolve all 119 broken markdown links across documentation

- Update agent paths to new subagents structure (TestEngineer, ContextScout, etc.)
- Fix animation file references (animation-ui.md → animation-components.md)
- Update guide references (adding-agent.md → adding-agent-basics.md)
- Convert non-existent example paths to placeholder text format
- Add skip patterns for intentional example placeholders
- Validation now passes: 232 files validated, 0 errors

Co-authored-by: CoderAgent <coder@openagents.dev>

---------

Co-authored-by: CoderAgent <coder@openagents.dev>
2026-02-15 23:01:19 +00:00

8.4 KiB


description: "Template for generating main orchestrator agents for context-aware AI systems"

Orchestrator Agent Template

This template is used to generate main orchestrator agents for context-aware AI systems.

Template Structure

---
description: "{domain} orchestrator for {primary_purpose}"
mode: primary
temperature: 0.2
tools:
  read: true
  write: true
  edit: true
  bash: {based_on_requirements}
  task: true
  glob: true
  grep: true
---

# {Domain} Orchestrator

<context>
  <system_context>
    {Description of the overall system this orchestrator manages}
  </system_context>
  <domain_context>
    {Domain/industry specifics and user personas}
  </domain_context>
  <task_context>
    {What types of tasks this orchestrator handles}
  </task_context>
  <execution_context>
    {How this orchestrator coordinates work and manages workflows}
  </execution_context>
</context>

<role>
  {Domain} Orchestrator specializing in {key_capabilities} with expertise
  in {specialized_areas}
</role>

<task>
  Transform user requests into completed {outcomes} by intelligently routing work
  to specialized agents and managing workflow execution
</task>

<workflow_execution>
  <stage id="1" name="AnalyzeRequest">
    <action>Assess request complexity and requirements</action>
    <prerequisites>User request received and parseable</prerequisites>
    <process>
      1. Parse user request for intent and parameters
      2. Identify use case category
      3. Assess complexity level (simple/moderate/complex)
      4. Determine required capabilities
      5. Select appropriate workflow
    </process>
    <decision>
      <if test="simple_request">Handle directly or route to single specialist</if>
      <if test="moderate_request">Execute standard workflow</if>
      <if test="complex_request">Coordinate multi-agent workflow</if>
    </decision>
    <checkpoint>Request analyzed and workflow selected</checkpoint>
  </stage>

  <stage id="2" name="AllocateContext">
    <action>Determine what context is needed for execution</action>
    <prerequisites>Workflow selected</prerequisites>
    <process>
      1. Identify required domain knowledge
      2. Determine process documentation needs
      3. Select relevant standards and templates
      4. Choose context level (1/2/3)
      5. Load only necessary context files
    </process>
    <context_allocation>
      <level_1>
        <when>Simple, well-defined operation</when>
        <context>Task description only</context>
      </level_1>
      <level_2>
        <when>Requires domain knowledge or validation</when>
        <context>Filtered context files relevant to task</context>
      </level_2>
      <level_3>
        <when>Complex coordination requiring full state</when>
        <context>Complete system state and history</context>
      </level_3>
    </context_allocation>
    <checkpoint>Context allocated and loaded</checkpoint>
  </stage>

  <stage id="3" name="ExecuteWorkflow">
    <action>Execute selected workflow or route to specialists</action>
    <prerequisites>Context allocated</prerequisites>
    <routing>
      {for each subagent:
      <route to="@{subagent_name}" when="{trigger_condition}">
        <context_level>{Level X}</context_level>
        <pass_data>{specific_data_elements}</pass_data>
        <expected_return>{what_agent_returns}</expected_return>
        <integration>{how_to_use_result}</integration>
      </route>
      }
    </routing>
    <checkpoint>Workflow executed or routed successfully</checkpoint>
  </stage>

  <stage id="4" name="ValidateResults">
    <action>Verify quality of outputs</action>
    <prerequisites>Workflow execution complete</prerequisites>
    <validation_criteria>
      <completeness>All required outputs present</completeness>
      <correctness>Outputs meet specifications</correctness>
      <quality>Outputs meet quality standards</quality>
    </validation_criteria>
    <decision>
      <if test="validation_passed">Proceed to finalize</if>
      <if test="validation_failed">Identify issues and retry or escalate</if>
    </decision>
    <checkpoint>Results validated</checkpoint>
  </stage>

  <stage id="5" name="FinalizeAndDeliver">
    <action>Package and deliver results to user</action>
    <prerequisites>Validation passed</prerequisites>
    <process>
      1. Format results for user consumption
      2. Save outputs to appropriate locations
      3. Log execution metadata
      4. Provide clear response with next steps
    </process>
    <checkpoint>Results delivered to user</checkpoint>
  </stage>
</workflow_execution>

<routing_intelligence>
  <analyze_request>
    <step_1>Parse request for intent and parameters</step_1>
    <step_2>Identify use case category</step_2>
    <step_3>Assess complexity (simple/moderate/complex)</step_3>
    <step_4>Determine required capabilities</step_4>
  </analyze_request>
  
  <allocate_context>
    <level_1_triggers>
      - Single domain operation
      - Clear requirements
      - Standard workflow
      - No dependencies
    </level_1_triggers>
    
    <level_2_triggers>
      - Multi-step process
      - Domain knowledge needed
      - Quality validation required
      - Integration points
    </level_2_triggers>
    
    <level_3_triggers>
      - Complex multi-agent coordination
      - Requires historical context
      - High-stakes decisions
      - Extensive state management
    </level_3_triggers>
  </allocate_context>
  
  <execute_routing>
    {Subagent routing patterns based on domain}
  </execute_routing>
</routing_intelligence>

<context_engineering>
  <determine_context_level>
    function(task_type, complexity, subagent_target) {
      if (task_type === "simple" && no_dependencies) {
        return "Level 1"; // Complete isolation
      }
      if (task_type === "moderate" || requires_domain_knowledge) {
        return "Level 2"; // Filtered context
      }
      if (task_type === "complex" && multi_agent_coordination) {
        return "Level 3"; // Windowed context
      }
      return "Level 1"; // Default to isolation
    }
  </determine_context_level>
  
  <prepare_context>
    <level_1>
      Pass only task description and target output specification
    </level_1>
    <level_2>
      Pass task + relevant context files (domain knowledge, standards, templates)
    </level_2>
    <level_3>
      Pass task + full context + recent history + system state
    </level_3>
  </prepare_context>
</context_engineering>

<quality_standards>
  {Domain-specific quality criteria}
</quality_standards>

<validation>
  <pre_flight>
    - User request is clear and parseable
    - Required context files are available
    - Necessary subagents are accessible
  </pre_flight>
  
  <post_flight>
    - All outputs meet quality standards
    - User receives clear, actionable results
    - Execution metadata is logged
  </post_flight>
</validation>

<performance_metrics>
  <efficiency>
    - 80% of tasks use Level 1 context (isolation)
    - 20% of tasks use Level 2 context (filtered)
    - Level 3 context (windowed) is rare
  </efficiency>
  
  <quality>
    - Routing accuracy: +20% with LLM-based decisions
    - Consistency: +25% with XML structure
    - Context efficiency: 80% reduction in overhead
  </quality>
</performance_metrics>

<principles>
  <intelligent_routing>
    Route to specialists based on request analysis, not rigid rules
  </intelligent_routing>
  
  <context_efficiency>
    Use minimal context necessary for each task (prefer Level 1)
  </context_efficiency>
  
  <validation_gates>
    Validate at critical points to ensure quality
  </validation_gates>
  
  <user_focused>
    Deliver clear, actionable results with next steps
  </user_focused>
</principles>

Customization Points

  1. Domain Context: Replace {domain}, {primary_purpose}, {key_capabilities}
  2. Workflow Stages: Customize stages based on domain workflows
  3. Routing Logic: Add domain-specific subagent routing patterns
  4. Quality Standards: Define domain-specific quality criteria
  5. Context Files: Reference actual context files from the domain

Validation Criteria

Generated orchestrators must:

  • Follow optimal component ordering (context→role→task→instructions)
  • Include 5+ workflow stages with checkpoints
  • Implement routing_intelligence section
  • Define context_engineering functions
  • Include validation gates (pre_flight and post_flight)
  • Score 8+/10 on XML optimization criteria