engineering-mission-playbook

Solid

Use when planning or replanning engineering missions that create, change, port, migrate, integrate, or preserve durable codebase behavior across UI, API, CLI, background jobs, data/migrations, libraries, or operator workflows. Defines investigation, scope inventory, coherent VAL-* contracts, evidence floors, multi-target task topology, engineering validation, root-cause patching, and durable guidance. For pure metric search, use optimization-mission-playbook instead.

AI & Automation 280 stars 40 forks Updated 2 weeks ago Apache-2.0

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50
License 10%
100
Description 5%
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Skill Content

# Engineering Mission Playbook ## 1. Engineering Success Invariants Engineering success means the accepted user, caller, operator, or consumer-visible behavior is implemented, preserved, and independently proven on the real surface. Code motion, file diffs, worker claims, green commands, or task completion are not success by themselves. Success requires: - accepted scope is preserved through `mission.md` or the current scope charter, the scope/capability inventory, live `VAL-*` assertions, or explicit accepted non-goal/risk decisions; - every user-mentioned engineering requirement is represented in the inventory and contract unless explicitly removed by the user or a recorded decision; - contract assertions define the mission's done criteria; task bodies and skills may explain how to work, but they must not hide acceptance promises; - real user/caller/operator surfaces are tested whenever they exist: browser/UI behavior through an actual browser, APIs through real requests, CLI/TUI behavior through real commands or terminal interaction, background jobs through real triggers and outputs, generated artifacts through real generation and consumption, migrations/data behavior through actual before/after state, and public libraries through real imports/calls; - validation covers the full requested behavior surface, including common paths, edge cases, error paths, empty states, retries, persistence, compatibility, permissions, unusual but plausible cases, and narrow or low-frequ...

Details

Author
Intelligent-Internet
Repository
Intelligent-Internet/zenith
Created
3 months ago
Last Updated
2 weeks ago
Language
Python
License
Apache-2.0

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