juicesharp

Answer structured research questions about a codebase using targeted parallel analysis agents, then synthesize findings into a research document in .rpiv/artifacts/research/. Internally dispatches the scope-tracer agent to formulate trace-quality research…

Grade ONE artifact along ONE named quality dimension and write a verdict JSON to .rpiv/artifacts/verdicts/. Single-pass, no subagents, no fixes — it only judges. Dispatched once per dimension by a workflow's grade panel (a fanout over dimensions); the…

Derive an executable acceptance inventory from the verbatim goal — the ID'd observable outcomes the finished work must exhibit, each with a runnable evidence command where one can be derived — and write it to .rpiv/artifacts/acceptance/ in one non-interactive…

Produce a single unsliced, consistently-phased implementation plan for a small, well-understood task and write it directly to .rpiv/artifacts/plans/ with status: ready — one non-interactive pass, no slice decomposition, no in-skill review (the workflow's…

Decompose a research artifact into independent vertical slices — each a self-contained, separately-designable unit — and write a slice map to .rpiv/artifacts/slices/ with a machine-readable `slices:` frontmatter array. A research artifact is required (it is…

Verify that an implementation plan was correctly executed by running each phase's success criteria against the working tree and producing a validation report. Use after the implement skill completes, when the user asks to "validate the plan", wants a…

Surgically repair a working tree whose validate run returned a failing verdict — re-run each failed verify-at-implement risk ruling's prescribed procedure and each structured blocker's failing command, apply the minimal localized code fix grounded in the…

Convert a design artifact into a phased implementation plan with parallelized atomic phases and explicit success criteria, written to .rpiv/artifacts/plans/. Use after the design skill when the user wants a design turned into an actionable, phase-by-phase…

Analyze solution options for features or changes. Compares approaches with pros/cons and provides recommendations. Produces documents in thoughts/shared/solutions/. Use when multiple valid approaches exist.

Design features through iterative vertical-slice decomposition and progressive code generation with developer micro-checkpoints. For complex multi-component features touching 6+ files across multiple layers. Produces design artifacts in…

Generate trace-quality research questions from codebase discovery. Spawns discovery agents and reads key files for depth, then synthesizes into dense question paragraphs for the research skill. Produces question artifacts in thoughts/shared/questions/. First…

Execute approved implementation plans phase by phase. Implements changes with verification against success criteria. Use when a plan is ready for implementation.

Create phased implementation plans from design artifacts. Decomposes designs into parallelized atomic phases with success criteria in thoughts/shared/plans/. Use after design.

Answer structured research questions via targeted parallel analysis agents. Consumes question artifacts from discover. Produces research documents in thoughts/shared/research/. Second stage of the research pipeline — always requires a questions artifact.

Update existing implementation plans based on feedback. Makes surgical edits while preserving structure and quality. Use when plans need adjustments after review or during implementation.

Verify that an implementation plan was correctly executed. Runs success criteria checks and generates validation reports. Use after implementation is complete.