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- Implement tests for AssociationHighlight, DashboardToolbar, QueuePanel, SessionGroupTree, and TerminalDashboardPage to ensure proper functionality and state management. - Create tests for cliSessionStore, issueQueueIntegrationStore, queueExecutionStore, queueSchedulerStore, sessionManagerStore, and terminalGridStore to validate state resets and workspace scoping. - Mock necessary dependencies and state management hooks to isolate tests and ensure accurate behavior.
164 lines
5.8 KiB
Markdown
164 lines
5.8 KiB
Markdown
# Agent Instruction Template -- Team Skill Designer
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Base instruction template for CSV wave agents. Each agent receives this template with its row's column values substituted at runtime via `spawn_agents_on_csv`.
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## Purpose
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| Phase | Usage |
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|-------|-------|
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| Phase 1 | Baked into instruction parameter with session folder path |
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| Phase 2 | Injected as `instruction` parameter to `spawn_agents_on_csv` |
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---
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## Base Instruction Template
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```markdown
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## TASK ASSIGNMENT -- Team Skill Designer
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### MANDATORY FIRST STEPS
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1. Read shared discoveries: <session-folder>/discoveries.ndjson (if exists, skip if not)
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2. Read project context: .workflow/project-tech.json (if exists)
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3. Read teamConfig: <session-folder>/teamConfig.json (REQUIRED -- contains complete skill configuration)
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---
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## Your Task
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**Task ID**: {id}
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**Title**: {title}
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**Role**: {role}
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**File Target**: {file_target}
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**Generation Type**: {gen_type}
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### Task Description
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{description}
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### Previous Tasks' Findings (Context)
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{prev_context}
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---
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## Execution Protocol
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1. **Read discoveries**: Load <session-folder>/discoveries.ndjson for shared exploration findings
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2. **Read teamConfig**: Load <session-folder>/teamConfig.json for complete skill configuration (roles, pipelines, specs, templates)
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3. **Use context**: Apply previous tasks' findings from prev_context above
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4. **Execute by gen_type**:
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### For gen_type = directory
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- Parse teamConfig to determine required directories
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- Create directory structure at teamConfig.targetDir
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- Create subdirectories: roles/, specs/, templates/ (if needed)
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- Create per-role subdirectories: roles/<role-name>/ (+ commands/ if hasCommands)
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- Verify all directories exist
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### For gen_type = router
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- Read existing Codex team skill SKILL.md as reference pattern
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- Generate SKILL.md with these sections in order:
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1. YAML frontmatter (name, description, argument-hint, allowed-tools)
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2. Auto Mode section
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3. Title + Usage examples
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4. Overview with workflow diagram
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5. Task Classification Rules
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6. CSV Schema (header + column definitions)
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7. Agent Registry (if interactive agents exist)
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8. Output Artifacts table
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9. Session Structure diagram
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10. Implementation (session init, phases 0-4)
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11. Discovery Board Protocol
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12. Error Handling table
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13. Core Rules list
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- Use teamConfig.roles for role registry
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- Use teamConfig.pipelines for pipeline definitions
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### For gen_type = role-bundle
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- Generate role.md with:
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1. YAML frontmatter (role, prefix, inner_loop, message_types)
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2. Identity section
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3. Boundaries (MUST/MUST NOT)
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4. Entry Router (for coordinator)
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5. Phase references (Phase 0-5 for coordinator)
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- Generate commands/*.md for each command in teamConfig.roles[].commands
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- Each command file: Purpose, Constants, Phase 2-4 execution logic
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- Coordinator always gets: analyze.md, dispatch.md, monitor.md
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### For gen_type = role-inline
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- Generate single role.md with:
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1. YAML frontmatter (role, prefix, inner_loop, message_types)
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2. Identity section
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3. Boundaries (MUST/MUST NOT)
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4. Phase 2: Context Loading
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5. Phase 3: Domain Execution (role-specific logic)
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6. Phase 4: Output & Report
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### For gen_type = spec
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- For pipelines.md: Generate from teamConfig.pipelines
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- Pipeline name, task table (ID, Role, Name, Depends On, Checkpoint)
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- Task metadata registry
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- Conditional routing rules
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- Dynamic specialist injection
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- For other specs: Generate domain-appropriate content
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### For gen_type = template
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- Check for reference templates in existing skills
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- Generate domain-appropriate template structure
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- Include placeholder sections and formatting guidelines
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5. **Share discoveries**: Append exploration findings to shared board:
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```bash
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echo '{"ts":"<ISO8601>","worker":"{id}","type":"<type>","data":{...}}' >> <session-folder>/discoveries.ndjson
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```
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6. **Report result**: Return JSON via report_agent_job_result
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### Discovery Types to Share
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- `dir_created`: {path, description} -- Directory structure created
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- `file_generated`: {file, gen_type, sections} -- File generated with specific sections
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- `pattern_found`: {pattern_name, description} -- Design pattern identified
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- `config_decision`: {decision, rationale, impact} -- Configuration decision made
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- `reference_found`: {source, target, type} -- Cross-reference between generated files
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---
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## Output (report_agent_job_result)
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Return JSON:
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{
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"id": "{id}",
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"status": "completed" | "failed",
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"findings": "Key discoveries and generation notes (max 500 chars)",
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"files_produced": "semicolon-separated paths of produced files relative to skill root",
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"error": ""
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}
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```
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---
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## Quality Requirements
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All agents must verify before reporting complete:
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| Requirement | Criteria |
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|-------------|----------|
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| Files produced | Verify all claimed files exist via Read |
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| teamConfig adherence | Generated content matches teamConfig specifications |
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| Pattern fidelity | Generated files follow existing Codex skill patterns |
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| Discovery sharing | At least 1 discovery shared to board |
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| Error reporting | Non-empty error field if status is failed |
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| YAML frontmatter | Role files must have valid frontmatter for agent parsing |
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---
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## Placeholder Reference
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| Placeholder | Resolved By | When |
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|-------------|------------|------|
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| `<session-folder>` | Skill designer (Phase 1) | Literal path baked into instruction |
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| `{id}` | spawn_agents_on_csv | Runtime from CSV row |
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| `{title}` | spawn_agents_on_csv | Runtime from CSV row |
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| `{description}` | spawn_agents_on_csv | Runtime from CSV row |
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| `{role}` | spawn_agents_on_csv | Runtime from CSV row |
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| `{file_target}` | spawn_agents_on_csv | Runtime from CSV row |
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| `{gen_type}` | spawn_agents_on_csv | Runtime from CSV row |
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| `{prev_context}` | spawn_agents_on_csv | Runtime from CSV row |
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