dataviz
25Command
Define chart types, color encoding, and data display conventions.
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Define chart types, color encoding, and data display conventions.
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Design schema, migrations, indexes, and query patterns with safety guardrails.
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Track and pay down tech debt — registry, triggers, strangler-fig for rewrites.
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Write demo script with scenes, wow moments, fallbacks, seed-data checklist, and dry-run plan.
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Establish design tokens, component library, and visual standards — semantic tokens, all 6 states, dark mode parity.
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Audit docs, fix doc rot, enforce README and changelog standards.
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Establish error handling patterns and resilience strategy — classification, retries, timeouts, circuit breakers.
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File a structured feedback entry when a downstream stage discovers an upstream .forge/ artifact needs revision.
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Backfill forge:meta headers on legacy .forge/ artifacts so the dependency chain works.
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Pressure-test a raw idea through 7-branch Socratic interview before writing a spec.
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Build go-to-market strategy with ICP, wedge feature, pilot program, and ROI calculator.
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Respond to an outage or write a blameless postmortem — severity, runbooks, action items.
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Define interaction rules — modal vs bottom sheet, expand vs navigate, optimistic UI, undo vs confirm.
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Add structured logging, tracing, metrics, and alerts — golden signals, SLOs, runbook links.
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Define page templates, layout grids, and responsive strategies.
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Plan parallel agent dispatch from .forge/tasks.yaml — conflict matrix, worktree isolation, merge order.
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Set latency budgets per request type, LLM cost budgets per call, cache strategy, bundle limits.
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Break architecture into a .forge/tasks.yaml of sized, dependency-ordered vertical slices.
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Run visual quality pass — states, skeletons, empty states, meta tags.
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Redact sensitive information from .forge/ documents for external sharing.
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Five-axis code review validating correctness, contracts, readability, security, performance.
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Scalability analysis — capacity math, bottlenecks, cost projections, migration triggers.
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Security and compliance assessment — auth model, PII inventory, threat model, certification roadmap.
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Create realistic demo and test data — factories, distributions, idempotent seed scripts.