U0088 Memory Dependency Dag Planner

Memory Dependency DAG Planner

Why This Skill Exists

We need this skill because agents lose performance when lessons are not retained and reused. This specific skill prevents sequencing errors and hidden blockers.

When To Use

Use this skill when the request explicitly needs "Memory Dependency DAG Planner" outcomes in the Memory and Knowledge Operations domain.

Step-by-Step Implementation Guide

1. Define the scope and success metrics for Memory Dependency DAG Planner, including at least three measurable KPIs tied to repeated mistakes and context loss.
2. Design and version the input/output contract for episodic logs, knowledge nodes, and retrieval metadata, then add schema validation and failure-mode handling.
3. Implement the core capability using dependency graph compilation, and produce validated workflow DAGs with deterministic scoring.
4. Integrate the skill into swarm orchestration: task routing, approval gates, retry strategy, and rollback controls.
5. Add unit, integration, and simulation tests that explicitly cover repeated mistakes and context loss, then run regression baselines.
6. Deploy behind a feature flag, monitor telemetry/alerts for two release cycles, and iterate thresholds based on observed outcomes.

Required Deliverables

• Capability contract: input schema, deterministic scoring, output schema, and failure modes.
• Runtime profile: planning-router using dependency graph compilation to produce validated workflow DAGs.
• Orchestration integration: memory-and-knowledge-operations:planning-router routing, approval gates, retries, and rollback controls.
• Validation evidence: unit, integration, simulation, regression-baseline suites and rollout telemetry.

Operational Runbook

Preflight

• Confirm the Memory Dependency DAG Planner request scope, source evidence, and measurable success criteria before execution.
• Verify feature flag skill_0088_memory-dependency-dag-planner, approval gates, and rollback owner before autonomous use.

Execution

• Execute dependency graph compilation with deterministic scoring and reproducible trace capture.
• Produce validated workflow DAGs plus scorecard, assumptions, and unresolved-risk notes.

Recovery

• Fail closed when required signals, evidence, or approval gates are missing.
• Rollback to the last stable baseline when posture is critical or validation fails.

Handoff

• Publish validated workflow DAGs, validation evidence, and telemetry links to downstream owners.
• Queue follow-up tasks for unresolved risks, threshold tuning, or approval review.

Guardrails

• [quality] Require deterministic scoring and validation evidence before promotion.
• [reliability] Preserve retries, rollback controls, and failure-mode evidence for every run.
• [safety] Route critical posture or missing approval gates to human review before autonomous action.