event4u-app

Use when designing churn defence — health-score signals, churn-cause split (involuntary / value / relationship / fit), early-warning loop. Triggers on 'why are accounts leaving'.

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Use when designing levels, comp bands, equity-vs-cash, geo adjustments, or raise vs promotion vs market correction. Triggers on 'set our comp bands', 'is this raise market'.

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Use when mapping competitors, naming defensibility, and finding white-space — moat reasoning, where-to-play, where-not-to-play. Triggers on 'who are we competing with', 'what's our moat'.

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Use when comparing this package to a peer / competitor — ours-vs-theirs verdict table, axis selection, adoption queue. Triggers on 'how do we compare to X', 'should we adopt their pattern'.

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Use when building or maintaining a Composer library — versioning, Laravel integration, autoloading, publishing to private registries — even when the user says 'release a new version'.

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Grounded brand decisions from a curated corpus — archetype, voice, naming, colour psychology, logo-style fit, messaging frameworks, archetype→type mapping. Use to ground brand strategy and identity.

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Define a brand identity constraint set from a confirmed strategy — colour story, type story, logo direction, imagery direction. Defines the tokens that token emission and asset generation consume.

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Audit how a brand is currently expressed across touchpoints and flag drift from its defined tokens, voice, and strategy. Use to inventory and critique an existing brand before changing it.

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Use BEFORE editing shared code — enumerates every call site, event consumer, queue worker, API client, migration, and test that a planned change will touch, with a file:line citation per dependency.

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Use after an incident or outage is resolved — blame-free facilitation, root cause, corrective actions, memory write-back — even for a near-miss. Consumes the incident-commander skeleton.

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Use when reviewing authorization end-to-end — route → gate → policy → query scope → response filter — before changes to permissions, tenants, ownership, or admin flows.

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When writing Python asyncio code — picking between gather / TaskGroup / wait, structured concurrency, timeouts, cancellation, sync-bridging — decision framework only, cookbook externalized.

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Use when creating or modifying Artisan commands. Covers clear signatures, safe execution flow, helpful output, and project conventions for console tooling.

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Use when a diff may break system boundaries, dependency direction, or cross-service contracts — fifth judge dispatched by /review-changes alongside the four standard judges.

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Use when designing APIs, planning endpoints, REST conventions, versioning, or deprecation — even when the user just says 'expose this as an endpoint' without naming API design.

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Use when picking which analysis or project-analysis-* skill fits a request — routes by scope, framework, and symptom — even if the user just says 'analyze this' or 'dig into the codebase'.

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Autonomous multi-step investigation — deep research carried end-to-end without per-step approval; explicit request only, never for normal feature work.

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Use when polling external AIs (OpenAI, Anthropic) outside the host session for a neutral second opinion on a roadmap, diff, prompt, or file set — or 'cross-check with another model'.

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Before finishing any code (endpoint, query, migration, render, file, infra, dependency, test) — the senior pre-ship checklist of invisible cross-cutting controls AI omits, with backstop greps

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Use when editing AGENTS.md (package root) or templates/AGENTS.md (consumer) — enforces Thin-Root contract: hard char ceilings, ≥40% pointer ratio, mandatory emergency-triage block.

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Use when the user invokes a slash command like /create-pr, /commit, /fix-ci, or pastes command file content — routes to the right command with context inference and GitHub API patterns.

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Use when defining or auditing the activation event — aha-moment selection, retention correlation, falsifiable definition. Triggers on 'what is our aha moment', 'redefine activation'.

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Use for an adversarial red-team / blue-team / auditor review of an AI agent's CONFIG + behaviour (rules, skills, MCP, hooks, permissions) — attack-chain → defensive-gap list, not a code audit.

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Use when capturing an architectural decision — file naming, next ADR number, Status / Context / Decision / Consequences, index regen; fires even without saying 'ADR'.

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