Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
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sayasaya8039/ZWG_Terminal2Updated Jun 8, 2026
FreePublished on GitHub
ralphinho-rfc-pipeline
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
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Review the instructions the agent will receive before you install.
Ralphinho RFC Pipeline
Inspired by humanplane style RFC decomposition patterns and multi-unit orchestration workflows.
Use this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.
Pipeline Stages
- RFC intake
- DAG decomposition
- Unit assignment
- Unit implementation
- Unit validation
- Merge queue and integration
- Final system verification
Unit Spec Template
Each work unit should include:
iddepends_onscopeacceptance_testsrisk_levelrollback_plan
Complexity Tiers
- Tier 1: isolated file edits, deterministic tests
- Tier 2: multi-file behavior changes, moderate integration risk
- Tier 3: schema/auth/perf/security changes
Quality Pipeline per Unit
- research
- implementation plan
- implementation
- tests
- review
- merge-ready report
Merge Queue Rules
- Never merge a unit with unresolved dependency failures.
- Always rebase unit branches on latest integration branch.
- Re-run integration tests after each queued merge.
Recovery
If a unit stalls:
- evict from active queue
- snapshot findings
- regenerate narrowed unit scope
- retry with updated constraints
Outputs
- RFC execution log
- unit scorecards
- dependency graph snapshot
- integration risk summary
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