dependency first architect

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    Architect and sequence software builds using dependency-first logic and explicit validation gates to minimize rework.

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    dependency first architect

    Example session with this skill installed

    Plan a migration of our user auth system from a legacy SQL database to a distributed OIDC provider. It handles 50k CCU and must have zero downtime.

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    • Compiled the dependency first architect

    I have generated a dependency-first build plan for migrating your auth system to OIDC. This plan prioritizes the walking skeleton and validates the data consistency model before any traffic is shifted.

    Build Plan: OIDC Auth Migration

    1. Classification and Constraints

    • Type: Brownfield Infrastructure Migration.
    • Constraint: Availability (Zero downtime).
    • Primary Risk: Identity fragmentation or lockout during cutover.
    • Budgets: Latency < 200ms (ASSUMPTION), Availability 99.99% (REQUIREMENT).

    2. Tradeoff Gates

    DecisionReversibilityDefaultAssumptionValidated ByFlip Condition
    Token StorageR3 (Security)Stateless JWTClient-side handling is secureV1 (Security Audit)Audit fails
    Data SyncR2 (Migration)Dual-writeOIDC provider supports hooksV2 (Load Test)Sync lag > 500ms

    3. Walking Skeleton (Phase 0)

    • Path: A single test user authenticates via OIDC, issues a JWT, and accesses a non-critical internal stub service.
    • Visibility: Internal allow-list only.
    • Exit Check (V0): Success trace across OIDC provider and stub service; rollback of deploy verified.

    4. Phases

    • Phase 1: Shadow Write: Unlock OIDC provisioning. Depends on V0. Tasks: Deploy dual-write logic to legacy auth.
    • Phase 2: Validation: Unlock migration. Depends on V1, V2. Tasks: Run consistency checks between SQL and OIDC.

    Phase 3: Canary Cutover: Unlock full migration. Depends on V3 (Migration Gate). Tasks: Shift 1% of traffic to OIDC.

    5. Validation Gates

    IDHypothesisMethodAcceptance ThresholdEvidenceUnlocks
    V1JWT handling is secureThird-party auditZero Critical findingsAudit ReportPhase 1
    V2Dual-write scalesSynthetic load test<1% error rate at 50k CCULoad Test LogPhase 2
    V3Data is consistentChecksum comparison100% match on 10k usersSync ReportPhase 3

    Next steps

    1. Review the R3 tradeoff regarding stateless JWTs to ensure it aligns with your security policy.
    2. Provide the OIDC provider's peak rate limits to update the V2 threshold.
    3. Identify the first internal service to be used for the V0 walking skeleton.

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    About this skill

    Stop building software based on what is most exciting and start building based on what is most stable. This skill transforms vague build requests into rigorous, dependency-ordered architectures that prioritize the substrate before the surface. It eliminates the rework caused by unvalidated assumptions and ensures that hard-to-reverse decisions are settled through explicit validation gates rather than silent guesses.

    What it does

    • Dependency sequencing orders tasks by structural, runtime, and economic blocks to prevent out-of-order development.
    • Tradeoff gating classifies decisions by reversibility (R1-R3) and forces explicit validation for high-risk choices.
    • Walking skeleton design defines the thinnest end-to-end production path to verify deployments, logging, and rollbacks on day zero.
    • Blast radius management schedules work to ensure high-impact rework happens first while exposure to users happens last.
    • Integrated hardening threads security, observability, and resilience into every phase rather than treating them as final steps.

    How it works

    1. System classification determines the system type, dominant constraints, and the most critical failure modes.
    2. Tradeoff analysis identifies R3 decisions like data models or API contracts that require early validation.
    3. Phase construction generates a sequenced plan starting with Phase 0 (the skeleton) and moving through dependency-cleared stages.
    4. Validation mapping creates a formal gate table with hypotheses, thresholds, and evidence requirements for every milestone.

    Frameworks & tools

    This skill is framework-agnostic and applies to greenfield development, brownfield migrations, and complex AI/agentic systems involving RAG, LLM orchestration, and human-in-the-loop gating.

    Why this beats prompting it yourself

    Generic prompts usually produce a simple chronological checklist that ignores architectural dependencies and risk. This skill enforces a "blast radius" logic that identifies where a project is most likely to fail early, preventing weeks of rework on leaf nodes when the root substrate is flawed.

    Use cases

    • Infrastructure migrations for moving legacy systems to cloud-native stacks with minimal downtime and verified rollbacks.
    • AI agent development to sequence cost and latency budgeting before building orchestration layers.
    • Greenfield product launches where structural data models and auth boundaries must be validated before the UI is built.
    • Regulatory compliance builds that require security controls to be verified before any real data enters the environment.

    Known limitations

    This skill focuses on architectural sequencing rather than generating implementation code. It requires the user to provide specific budget constraints or accept assumed values that must be validated later.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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