Disposable spike in an isolated worktree. Not a merge candidate.
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Invoke as $cc-prototype. The user request follows the skill mention.
Prototype request: $ARGUMENTS
Command: prototype (fixed for this workflow — do not infer from user text)
npx cc-codeconductor ccep profile prototype --output json to get the phases and their roles.npx cc-codeconductor ccep compile --command prototype --phase <phase-id> "$ARGUMENTS" --view prompt --output jsonnpx cc-codeconductor ccep evaluate --command prototype --input <planner.json> --output json. If stop is true, show questions or risks and wait for human input.prompt for its phase — never forward raw $ARGUMENTS to planners.Invoke architect. Define what the spike may touch, time-box, and what must not leak into main. Do not treat this as a production Technical Plan.
STOP here. Wait for approval of the spike bounds.
Invoke implementer in a Git worktree that is not a merge candidate. Label the Implementation Summary as disposable. Do not open a PR against protected branches.
Report bounds, worktree path, and what was learned. Recommend $cc-feature or $cc-fix if the spike should become real work.
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Use when adding monitoring, metrics, logging, or tracing to Spring AI or LLM integration code. Covers token tracking, latency measurement, cost estimation, and prompt/response logging. Use when user mentions AI monitoring, token costs, or LLM observability.
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Provides expert knowledge for building modern native Android apps using Kotlin, Jetpack Compose, Material Design 3, MVI architecture, Hilt dependency injection, and Media3/ExoPlayer.
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Provides expert knowledge for building Astro 5+ sites with Islands Architecture, Content Collections, TypeScript, and performance-first rendering strategies.
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Audits token storage mechanisms to prevent XSS-based JWT theft.
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