--- description: Create or update the feature specification from a natural-language feature description for the ss-tools project (Python backend + Svelte frontend). handoffs: - label: Build Technical Plan agent: speckit.plan prompt: Create a Python/Svelte implementation plan for the active feature - label: Clarify Spec Requirements agent: speckit.clarify prompt: Clarify specification requirements send: true --- ## User Input ```text $ARGUMENTS ``` You **MUST** consider the user input before proceeding (if not empty). ## Outline The feature description is the text passed to `/speckit.specify`. 1. Generate a concise short name (2-4 words) for the feature branch. 2. Check existing branches/spec directories and run `.specify/scripts/bash/create-new-feature.sh --json ...` exactly once. - This step is the source of truth for the feature lifecycle. - It MUST create and checkout the git branch `NNN-short-name` when git is available. - It MUST create `specs/NNN-short-name/` and initialize `spec.md` there. - Treat the returned `SPEC_FILE` path as authoritative and derive `FEATURE_DIR` from it. 3. Load these sources before writing the spec: - `.specify/templates/spec-template.md` - `.specify/templates/ux-reference-template.md` - `.specify/memory/constitution.md` - `README.md` - relevant `docs/adr/*` when the feature clearly touches an existing architectural lane 4. Create or update the following artifacts inside `FEATURE_DIR` only: - `spec.md` - `ux_reference.md` - `checklists/requirements.md` 5. Generate `ux_reference.md` as an **interaction reference** for operators, API callers, and (when applicable) browser-based UI flows. Capture result envelopes, warnings, and recovery behavior. 6. Write `spec.md` focused on **what** the user/operator needs and **why**, not how Python or Svelte will implement it. 7. Validate the spec against a requirements-quality checklist and iterate until major issues are resolved. ## Specification Rules - Use domain language appropriate for this repository: Superset dashboards, datasets, migrations, Git operations, tasks, plugins, RBAC, WebSocket logging. - Avoid leaking implementation details such as module names, file-level refactors, Pydantic schemas, or Svelte component names. - Use `[NEEDS CLARIFICATION: ...]` only for truly blocking product ambiguities. Maximum 3 markers. - Prefer informed defaults grounded in repository context over unnecessary clarification. - Feature may be backend-only (Python/FastAPI), frontend-only (Svelte/Tailwind), or fullstack (both). - Do not write feature outputs to `.kilo/plans/`, `.kilo/reports/`, or any path outside `specs//...`. ## UX / Interaction Reference Rules - `ux_reference.md` is mandatory. - For backend/API features: capture caller persona, happy-path invocation flow, result envelope expectations, warning/degraded states, failure recovery guidance, and canonical terminology. - For frontend features: additionally capture UI states, navigation flows, WebSocket feedback expectations, and browser-verifiable behavior. - Only include `@UX_*` guidance when the feature has a user interface component. ## Quality Validation Generate `FEATURE_DIR/checklists/requirements.md` and ensure it validates: - no implementation leakage into `spec.md` - compatibility with the Python/Svelte ss-tools stack - measurable success criteria - explicit edge cases and recovery paths - decision-memory readiness for downstream planning If unresolved clarification markers remain, present them in a compact, high-impact format and stop for user input. ## Completion Report Report: - branch name - feature directory under `specs/` - `spec.md` path - `ux_reference.md` path - checklist path and status - readiness for `/speckit.clarify` or `/speckit.plan`