--- name: "engineering-culture" description: "Build or refresh engineering culture and produce an Engineering Culture Operating System Pack (capability map, culture code, org↔architecture alignment, clock-speed/DevEx backlog, workflow contract, rollout + measurement). Use for engineering culture, DevOps capabilities, DevEx, clock speed, Conway's Law, and engineering principles. Category: Engineering." --- # Engineering Culture ## Scope **Covers** - Diagnosing the current engineering culture *and* delivery system (technical, architectural, cultural, and management capabilities) - Defining a clear **engineering culture code** (principles → behaviors → decision rules → anti-patterns) - Aligning org structure with architecture (Conway’s Law) and reducing cross-team friction - Increasing **clock speed** (safe shipping + experimentation throughput) and improving DevEx - Creating a practical cross-functional workflow contract (how engineering + PM/Design/Marketing collaborate in the same toolchain) - Making AI-assisted development safe and effective (humans as “architects”: spec, review, and oversight) **When to use** - “Help me improve engineering culture / DevEx and make it concrete.” - “Our delivery is slow—build a plan to increase shipping speed without breaking things.” - “Our org structure fights our architecture—analyze Conway’s Law and propose changes.” - “We want tighter processes and faster experimentation (higher clock speed).” - “Non-engineering functions struggle to work with engineering—define a shared workflow contract.” - “We’re adopting AI coding tools/agents—set norms so engineers shift toward higher-level design and review.” **When NOT to use** - You need to respond to an active incident or outage (use incident response/runbooks) - You need HR/legal policy, investigations, or employee relations handling (involve HR/legal) - You only need to implement a specific technical improvement (e.g., “set up CI”) without culture/org/process work - You need a full company strategy/roadmap prioritization across many bets (use `prioritizing-roadmap`) ## Inputs **Minimum required** - Org context: product(s), stage, engineering size, team topology, on-call model - Current symptoms + 2–5 examples (e.g., slow delivery, flaky deploys, low ownership, poor collaboration, high toil) - Current delivery system snapshot (release cadence, CI/CD maturity, test strategy, environments) - Architecture constraints (e.g., monolith vs services; coupling hotspots; ownership boundaries) - Cross-functional workflow reality (where work is tracked, how decisions are made, how releases happen) - Desired outcomes (what should be *more true* in 4–12 weeks?) + timeline constraints **Missing-info strategy** - Ask up to 5 questions from [references/INTAKE.md](references/INTAKE.md) (3–5 at a time), then proceed with explicit assumptions. - If metrics are missing, use best-effort ranges and label confidence; list instrumentation gaps. - Do not request secrets, credentials, or proprietary identifiers; use redacted summaries. ## Outputs (deliverables) Produce an **Engineering Culture Operating System Pack** in Markdown (in-chat; or as files if requested): 1) **Culture + capability snapshot** (what’s true today; evidence; capability gaps) 2) **Engineering culture code (v1)** (3–7 principles with behaviors, do/don’t, decision rules, anti-patterns) 3) **Org ↔ architecture alignment brief** (Conway’s Law analysis + proposed operating model changes) 4) **Clock speed + DevEx improvement backlog** (prioritized initiatives with owners, sequencing, metrics) 5) **Cross-functional workflow contract** (GitHub/issue/PR/release norms; how non-engineers contribute; AI norms) 6) **Rollout + measurement plan** (30/60/90, rituals, metrics + guardrails, feedback loops) 7) **Risks / Open questions / Next steps** (always included) Templates: [references/TEMPLATES.md](references/TEMPLATES.md) Expanded guidance: [references/WORKFLOW.md](references/WORKFLOW.md) ## Workflow (7 steps) ### 1) Intake + boundary setting - **Inputs:** User context; [references/INTAKE.md](references/INTAKE.md). - **Actions:** Confirm scope (team vs org), decision owner(s), timeline, and constraints. Identify any HR/legal or active-incident concerns and route appropriately. Confirm which deliverables to produce. - **Outputs:** Context snapshot + assumptions/unknowns list. - **Checks:** Scope boundaries are explicit; success definition is stated in observable terms. ### 2) Diagnose the current culture as a delivery system (capability map) - **Inputs:** Symptoms/examples; current process/tooling; architecture context. - **Actions:** Build a capability map across **technical**, **architectural**, **cultural**, and **management** capabilities. Capture evidence and gaps (not platitudes). Distinguish stated culture vs lived culture. - **Outputs:** Culture + capability snapshot (draft). - **Checks:** Each claimed problem has at least one piece of evidence (example, metric, observed behavior) or is labeled “needs data”. ### 3) Define the target culture (culture code v1) - **Inputs:** Snapshot; constraints; what already works. - **Actions:** Pick 2–4 priority shifts, then write a culture code: 3–7 principles with behaviors, do/don’t, decision rules, and anti-patterns. Prefer rules that increase autonomy while reducing ambiguity. - **Outputs:** Engineering culture code (v1). - **Checks:** Every principle includes a concrete “how we work” example and at least one measurable/observable signal. ### 4) Align org structure with architecture (Conway’s Law) - **Inputs:** Current team topology; architecture coupling/ownership hotspots; dependency pain. - **Actions:** Map org → architecture fit. Propose changes: team boundaries, ownership, interfaces, and standardization (e.g., leveling definitions, incident policies, review expectations) where misalignment causes friction. - **Outputs:** Org ↔ architecture alignment brief. - **Checks:** Proposed changes include migration/transition steps and explicit trade-offs (what gets worse). ### 5) Increase clock speed (safe shipping + experimentation throughput) - **Inputs:** Current shipping/experiment cadence; pipeline constraints; quality constraints. - **Actions:** Define “clock speed” targets and bottlenecks. Propose initiatives that raise throughput safely (small batches, CI reliability, test strategy, progressive delivery, observability). Convert into a prioritized backlog. - **Outputs:** Clock speed + DevEx improvement backlog (draft). - **Checks:** Each initiative has an owner, an effort range, a dependency note, and a metric/leading indicator. ### 6) Create the workflow contract (including AI norms) - **Inputs:** Collaboration pain points; tool constraints; roles. - **Actions:** Specify how work flows from idea → issue → PR → deploy → learn. Define cross-functional participation (where PM/Design/Marketing contribute) and working agreements (review SLAs, merge/deploy policy, experiment ownership). Add AI-assisted development norms: where agents help, human review requirements, and safe data handling. - **Outputs:** Cross-functional workflow contract. - **Checks:** The contract reduces common failure modes (stalled PRs, unclear ownership, “drive-by” requests) and is teachable to new hires. ### 7) Rollout + measurement + quality gate - **Inputs:** Draft pack. - **Actions:** Create a 30/60/90 rollout plan with rituals/cadence and training. Define metrics and guardrails (e.g., DORA + quality + DevEx). Run [references/CHECKLISTS.md](references/CHECKLISTS.md) and score with [references/RUBRIC.md](references/RUBRIC.md). Finalize **Risks / Open questions / Next steps**. - **Outputs:** Final Engineering Culture Operating System Pack. - **Checks:** The first 1–2 actions can start this week; measurement is feasible; risks/trade-offs are explicit. ## Quality gate (required) - Use [references/CHECKLISTS.md](references/CHECKLISTS.md) and [references/RUBRIC.md](references/RUBRIC.md). - Always include: **Risks**, **Open questions**, **Next steps**. ## Examples **Example 1 (slow delivery + DevEx):** “Use `engineering-culture`. Context: B2B SaaS, 35 engineers, monolith + a few services, weekly releases, rising incidents. Goal: increase shipping speed without quality regressions. Output: an Engineering Culture Operating System Pack with a clock-speed backlog and a workflow contract.” **Example 2 (Conway misalignment):** “We have 6 teams but architecture ownership is unclear and everything depends on platform. Analyze Conway’s Law issues and propose a new operating model + standardization (leveling, code ownership, on-call) plus a rollout plan.” **Boundary example:** “Write a generic essay about what engineering culture is.” Response: explain this skill produces a concrete operating system pack; ask for context/symptoms/timeline or provide the intake checklist and an example template from [references/TEMPLATES.md](references/TEMPLATES.md).