Phase 1 of the SDD workflow: capture and validate requirements in one pass. Owns the full Define methodology — classify the input (BRAINSTORM document, meeting notes, email thread, conversation, or direct request), extract entities (problem, users, MoSCoW goals, success criteria, acceptance tests, constraints, out of…
Create the architecture and technical specification for a defined feature — Phase 2 of the SDD workflow. Transforms a validated DEFINE document into a DESIGN document: architecture diagram, components, inline architecture decision records, an agent-matched file manifest, KB-grounded code patterns, and a testing…
Update an existing SDD phase document (BRAINSTORM/DEFINE/DESIGN) mid-stream with full cascade awareness: classify the change (additive, modifying, removing, architectural), apply it with a version bump and change note, walk the cascade rules for downstream impact, and confirm with the user before applying any…
Archive a completed feature and close the SDD cycle (Phase 4): verify the build is truly complete, archive every phase artifact, capture lessons learned, update all phase documents to Shipped, and clean the working folders. Carries the full ship methodology — verification order, ship readiness matrix, the concrete…
Spec-Driven Development workflow guidance for structured feature development. Use PROACTIVELY when the user discusses building features, planning implementations, capturing requirements, designing architectures, or shipping completed work. Guides through the 5-phase SDD workflow: Brainstorm → Define → Design → Build →…
Generates the user's daily standup message in the Done / Will do / Blockers format from git history, PRs/issues, and the user's own notes, ready to paste into the team chat, with an optional short follow-up thread for extra detail. Use when the user asks for "standup", "my check-in", "daily update", or to put together…
Generate beautiful, self-contained HTML pages that visually explain systems, code changes, plans, and data. Use when the user asks for a diagram, architecture overview, diff review, plan review, project recap, comparison table, or any visual explanation of technical concepts. Also use proactively when you are about to…
Claude Code instructions for luanmorenommaciel/agentspec, covering agentspec development, project context, repository structure, development workflow and explore an enhancement idea.
Data engineering expertise for pipelines, schemas, data quality, SQL, lakehouse, and streaming. Use PROACTIVELY when the user discusses data pipelines, ETL/ELT, schema design, dimensional modeling, data quality checks, SQL optimization, dbt models, Spark jobs, Airflow DAGs, streaming pipelines, lakehouse architecture…
Claude Code instructions for luanmorenommaciel/uc-transact-co: Follow @AGENTS.md — the ground rules and agent role definitions for this repository live there, in one place, for every engine.
Regenerate the structural skeleton of a harness — agent role stubs, KB layout, and per-stack rule files — for a repository's stack, in seconds. Use when a harness structure must be (re)created from artifacts on disk, after the roles and contract are already understood and never before. Produces structure only: every…
Turn an ambiguous question about an unfamiliar or brownfield system into a bounded, read-only, evidence-backed investigation with a confirmed investigation contract, deliberate context manifest, claim ledger, ontology, owned open questions, and reviewable technical brief. Use when asked to investigate a repository…
Turn one reasonable-looking plan item into a single atomic Task-Spec that states its goal, the behaviour a named human signs, and the machine-runnable proof that answers "am I done?" without asking. Use when a backlog item, plan row, or ticket permits more than one defensible implementation; before handing work to an…
Instructions for luanmorenommaciel/brief-spec: Before any task, read OPERATING.md. Do not invent a second loop. Do not skip the HMAC seal. Do not put family hops in docs/.
Instructions for luanmorenommaciel/brief-spec, a project described as: Type-aware, evidence-backed delivery contract for AI coding harnesses. Different agents in. One predictable human handoff out.