Files
ss-tools/.opencode/command/speckit.plan.md
busya 05ef6cdff8 docs(validation): update agent configs, skills, ADRs, specs
- qa-tester: add validation v2 testing checklist
- speckit.plan: add component reuse scan for frontend
- molecular-cot-logging: add Svelte logger + CLI reader
- semantics-svelte: add RSM model-first protocol, frontend stack
- templates: update plan/tasks/ux-reference templates
- ADR-0004: add llm_dashboard_validation plugin registration
- ADR-0008: add assistant tool registry for v2 validation
- Specs: update 017 tasks from 51 to 99
2026-05-31 22:32:32 +03:00

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---
description: Execute the implementation planning workflow for ss-tools (Python backend + Svelte frontend) and generate research, design, contracts, and quickstart artifacts.
handoffs:
- label: Create Tasks
agent: speckit.tasks
prompt: Break the plan into executable tasks for Python/Svelte implementation
send: true
- label: Create Checklist
agent: speckit.checklist
prompt: Create a requirements-quality checklist for the active feature
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Outline
1. **Setup**: Run `.specify/scripts/bash/setup-plan.sh --json` from repo root and parse `FEATURE_SPEC`, `IMPL_PLAN`, `SPECS_DIR`, and `BRANCH`.
- `IMPL_PLAN` is the authoritative path for `plan.md` inside `specs/<feature>/`.
- Derive `FEATURE_DIR` from `IMPL_PLAN` and write every planning artifact there.
- Never treat `.kilo/plans/*` as workflow output for `/speckit.plan`.
2. **Load canonical planning context**:
- `README.md`
- `requirements.txt` (backend dependencies)
- `frontend/package.json` (frontend dependencies)
- `.specify/memory/constitution.md`
- `.opencode/skills/semantics-core/SKILL.md`
- `.opencode/skills/semantics-contracts/SKILL.md`
- `.opencode/skills/semantics-python/SKILL.md`
- `.opencode/skills/semantics-svelte/SKILL.md`
- `.opencode/skills/semantics-testing/SKILL.md`
- `.specify/templates/plan-template.md`
- relevant `docs/adr/*.md`
3. **Execute the planning workflow** using the template structure:
- Fill `Technical Context` for the current repository reality: Python 3.9+/FastAPI backend, SvelteKit 5/Tailwind frontend, PostgreSQL, Docker, semantic contracts, belief runtime.
- Fill `Constitution Check` using the local constitution.
- ERROR if a blocking constitutional or semantic conflict is discovered and cannot be justified.
- Phase 0: generate `research.md` in `FEATURE_DIR`, resolving all material unknowns.
- Phase 1: generate `data-model.md`, `contracts/modules.md`, optional machine-readable contract artifacts, and `quickstart.md` in `FEATURE_DIR`.
- Materialize blocking ADR references and planning decisions inside the plan and downstream contracts.
- Run `.specify/scripts/bash/update-agent-context.sh kilocode` after planning artifacts are written.
4. **Stop and report** after planning artifacts are complete. Report branch, `plan.md` path, generated artifacts, and blocking ADR/decision-memory outcomes.
## Phase 0: Research
Research must resolve only implementation-shaping unknowns that matter for this repository, such as:
- module placement under `backend/src/` or `frontend/src/`
- **Screen Model topology**: which screens need a `[TYPE Model]` (`.svelte.ts`), which atoms each model declares, which invariants cross widget boundaries
- API endpoint design (REST routes, WebSocket channels)
- database schema changes (SQLAlchemy models, migrations)
- Svelte component hierarchy and store topology
- async task orchestration patterns
- **TypeScript DTO alignment**: frontend `types/` matching backend Pydantic schemas
- test strategy (pytest + vitest; L1 model invariants without render + L2 UX contracts with render)
- belief runtime instrumentation for C4/C5 flows
- semantic validation boundaries and static verification workflow
Write `research.md` with concise sections:
- Decision
- Rationale
- Alternatives Considered
- Impact On Contracts / Tasks
Use `[NEED_CONTEXT: target]` instead of inventing relation targets, DTO names, or module boundaries that cannot be grounded in repo context.
## Phase 1: Design, ADR Continuity, and Contracts
### Frontend Model & Component Reuse Scan (MANDATORY — before contract generation)
Before designing any new screen, execute a **model-first inventory scan** followed by a **component inventory scan** of the existing codebase to maximise reuse and prevent duplicate primitives.
**Step 1: Screen Model scan** (use a subagent with `subagent_type: "explore"`):
- Search `frontend/src/lib/models/` for existing `[TYPE Model]` contracts
- Use `axiom_semantic_discovery search_contracts type="Model" query="<domain>"` for structured search
- Check model atoms, actions, and invariants — reuse if the screen state maps to an existing model
- New models use `.svelte.ts` extension, `[TYPE Model]` contract, `@STATE`/`@ACTION`/`@INVARIANT` tags
**Step 2: Component scan** (priority order):
**Scan targets** (priority order):
1. `frontend/src/lib/ui/` — design-system atoms: `Button.svelte`, `Select.svelte`, `Input.svelte`, `Card.svelte`
2. `frontend/src/lib/components/ui/` — composite UI widgets: `SearchableMultiSelect.svelte`, `MultiSelect.svelte`
3. `frontend/src/lib/components/` — feature components that may be adaptable
4. Inline patterns in existing pages (`frontend/src/routes/`) — badges, skeletons, empty states, collapsibles
**For each found component, the scan MUST return:**
- Exact file path
- Props interface (what it accepts)
- Whether it's a direct fit, adaptable, or pattern-only
**Reuse decision tree:**
| Situation | Action |
|-----------|--------|
| Component exists and fits | `@RELATION DEPENDS_ON -> [ExistingComponent]` — zero new code |
| Pattern exists (badge, skeleton, tooltip) | Document the Tailwind classes to replicate; no component extraction |
| No reusable asset exists | Create new component only then |
**Output:** The `contracts/modules.md` for every frontend contract MUST include `@RELATION` edges to reused components/models and a `@RATIONALE` noting WHY the asset is reused rather than rebuilt. For pattern-only reuse, the contract MUST reference the source page/file where the pattern was observed. Components that bind to a Screen Model declare `@RELATION BINDS_TO -> [ModelId]`.
**Forbidden patterns:**
- Creating a new `<Modal>` when `confirm()` suffices
- Building a custom `<Select>` when `$lib/ui/Select.svelte` exists
- Inventing a `<Toast>` system when `addToast()` from `$lib/toasts.js` is already wired
### UX / Interaction Validation
Validate the proposed design against `ux_reference.md` as an **interaction reference** for operators, API callers, CLI/operator flows, result envelopes, warnings, recovery guidance, and (when applicable) browser-based UI flows.
If the planned architecture degrades the promised interaction model, deterministic recovery path, or context-budget behavior, stop and warn the user.
### Data Model Output
Generate `data-model.md` for ss-tools domain entities such as:
- Pydantic request/response schemas
- SQLAlchemy models and relationships
- WebSocket message formats
- Task state transitions
- Git operation entities
- Plugin configuration schemas
- **Frontend TypeScript DTOs** in `frontend/src/types/` — MUST match backend Pydantic schemas across the stack boundary
- **Screen Model interfaces** — typed atoms, FSM state unions, action payloads for `.svelte.ts` models
### Global ADR Continuity
Before task decomposition, planning must identify any repo-shaping decisions this feature depends on or extends:
- Python module layout and decomposition
- FastAPI route organization
- SvelteKit routing and component hierarchy
- **Screen Model topology**: which screens need a model, model-atom boundaries, invariant scope
- belief-state runtime behavior (JSON structured logging / console markers)
- semantic comment-anchor rules
- **TypeScript-first frontend architecture** (`.svelte.ts` models, typed props, typed API boundaries)
- payload/schema stability decisions
### Contract Design Output
Generate `contracts/modules.md` as the primary design contract for implementation. Contracts must:
- use short semantic IDs (e.g., `MigrationModel`, `GitManager`, `DashboardApi`)
- classify each planned module/component/model with `[C:N]` complexity in the `#region` anchor (NOT `@COMPLEXITY N`)
- use canonical anchor syntax: `#region Id [C:N] [TYPE TypeName] [SEMANTICS tags]` / `#endregion Id`
- use canonical relation syntax `@RELATION PREDICATE -> TARGET_ID`
- preserve accepted-path and rejected-path memory via `@RATIONALE` and `@REJECTED` where needed
- describe Python modules, FastAPI routes, Svelte components, **Screen Models** (`.svelte.ts`), stores, and services instead of inventing MCP/backend layers
Complexity guidance for this repository:
- **C1**: anchors only (DTOs, simple Pydantic schemas, pure constants)
- **C2**: typically adds `@BRIEF` (pure functions, utility helpers)
- **C3**: typically adds `@RELATION` (service modules, route handlers); Svelte components also `@UX_STATE`
- **C4**: typically adds `@PRE`, `@POST`, `@SIDE_EFFECT`; **Screen Models** also `@STATE`, `@ACTION`, `@INVARIANT`; orchestration paths should account for belief runtime markers
- **C5**: C4 + `@DATA_CONTRACT`, `@INVARIANT`, and explicit decision-memory continuity (`@RATIONALE`/`@REJECTED`)
If a planned contract depends on unknown schema, relation target, or ADR identity, emit `[NEED_CONTEXT: target]` instead of fabricating placeholders.
### Quickstart Output
Generate `quickstart.md` using real repository verification paths:
- Backend: `cd backend && source .venv/bin/activate && python -m pytest -v`
- Frontend: `cd frontend && npm run test`
- Lint: `cd backend && python -m ruff check .`
- Frontend lint: `cd frontend && npm run lint`
- Docker: `docker compose up --build`
## Key Rules
- Use absolute paths in workflow execution.
- Planning must reflect the current repository structure (`backend/src/**/*.py`, `frontend/src/**/*.svelte`, `backend/tests/`, `docs/adr/*`).
- Do not reference `.ai/*` or `.kilocode/*` paths (use `.opencode/` for skills).
- Do not write any feature planning artifact outside `specs/<feature>/...`.
- Do not hand off to `speckit.tasks` until blocking ADR continuity and rejected-path guardrails are explicit.