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Pull request review workflow — orchestrates multi-agent review with confidence scoring, parallel analysis, and PR comment formatting.
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Based on SOC occupation classification
Demo pipeline state machine — 7-phase autonomous sequence with delegation context templates, phase transition logic, BLOCKED recovery strategies, and demo-state.json schema. Used exclusively by demo-conductor.
Cinematic narration style guide for demo-conductor — ANSI-coloured banner formats, live pipeline scoreboard, audience-facing language, phase summaries, and error narration patterns. Keeps the demo presentation-quality throughout.
Standardized completion and escalation protocol for subagent responses. Ensures the conductor can machine-parse every subagent return. Use when reporting completion status back to the orchestrator.
Cross-session learnings lifecycle — schema, storage, retrieval, and pruning of lessons learned during orchestrator sessions. Use when managing learnings via the /learn command.
Agent Teams assembly and task injection — selects appropriate team, validates prerequisites, estimates cost, injects tasks into the shared task list, and manages team lifecycle.
Token and cost tracking with model tier enforcement
| name | pr-review |
| description | Pull request review workflow — orchestrates multi-agent review with confidence scoring, parallel analysis, and PR comment formatting. |
| user-invocable | false |
Multi-perspective PR review using parallel specialized agents with confidence-based filtering.
### {severity}: {title}
**Confidence:** {score}/100
**File:** {path}#L{start}-L{end}
**Category:** Bug | Convention | Security | Coverage | Performance
{description}
**Suggestion:**
{specific fix or recommendation}
Don't review if:
--terminal (default): Output to terminal for local review--comment: Post as PR comment via gh CLI--inline: Post inline comments on specific code lines