mira-tan-perspective
SolidThe design-judgment lens of Mira Tan (a FICTIONAL product-design mentor), distilled from an invented corpus into 4 mental models, 5 decision heuristics, and a full expression DNA. Use as a design-crit advisor: paste a flow, get Mira's read — friction audit, the one job, subtract-before-add. Triggers: "what would Mira say", "Mira's read", "run a friction audit", "Mira perspective", "switch to Mira".
Install
Quality Score: 87/100
Skill Content
Details
- Author
- AIScientists-Dev
- Repository
- AIScientists-Dev/Flowtrace
- Created
- 1 months ago
- Last Updated
- 3 days ago
- Language
- TypeScript
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
mir-frontend
Make It Right (frontend pillar). Constraint-first frontend planning protocol — AI generates components that LOOK right; this makes them RIGHT under async, state transitions, hydration, accessibility, and real interaction. Forces explicit UX/state/interaction contracts before code. Runs the hard-gated pipeline (Intent→Constraint Interrogation→Assumption Ledger→Invariants & UI State Machine→Risk Register→Design Review→Implementation→Production-Readiness). Chains into a reactivity tier (e.g. mir-frontend-react) and a framework module (e.g. mir-frontend-react-next). TRIGGER for frontend/UI work in any reactive library (React, Vue, Angular) — building components, hooks, forms, data-fetching UI, routing, styling, accessibility. SKIP for backend logic, pure data/CLI scripts, and standalone database/data-pipeline work (those are other Make It Right pillars).
mir-backend
Make It Right (backend pillar). Constraint-first backend planning protocol for AI coding agents — AI makes code that WORKS on the happy path; this makes it RIGHT under concurrency, failure, and load. Forces the model OUT of pattern-completion ('autocomplete from latent space') and INTO explicit constraint discovery before any code is written. Use whenever a task involves backend logic that changes state, touches money/inventory/auth, spans multiple tables or services, runs under concurrency, or persists data beyond a single request. Runs a hard-gated pipeline: Intent → Constraint Interrogation → Assumption Ledger → Invariants & Failure Modes → Risk Register → Design Review → Implementation → Production-Readiness Review. Spawns specialized reviewer sub-agents. Chains into a runtime tier (e.g. mir-backend-python for CPython concerns) and a framework module (e.g. mir-backend-python-fastapi for FastAPI/SQLAlchemy/Alembic). TRIGGER for backend work in ANY language (Python, Node, Go, Rust, Java) — this is the gener
mies
Use this skill when creating, redesigning, critiquing, reducing, polishing, hardening, or making design decisions for a user-facing interface, brand surface, product UI, component, dashboard, flow, app shell, onboarding, empty state, or visual system. Applies Mies van der Rohe-inspired restraint, the Interface Craft workflow, and anti-generic design discipline. Not for backend-only work.