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48 changes: 48 additions & 0 deletions agentic/commands/prime-deep.md
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# Prime (Deep)

> Full project orientation. Use when starting architecture work, refactors, or when unsure about the codebase. For quick starts, use `/prime` instead.

## Run

```bash
# Current state: branch, uncommitted changes, stashes
git status --short --branch

# Recent activity: what's been worked on
git log --oneline --graph -15

# Open PRs: what's in flight
gh pr list --limit 10 2>/dev/null || echo "(gh CLI not available)"
```

## Read

@agentic/docs/project-guide.md
@agentic/commands/context.md
@docs/concepts/vision.md
@pyproject.toml

## Serena

- Run `mcp__serena__check_onboarding_performed`
- Run `mcp__serena__list_memories` and read relevant ones

### Serena MCP tools (prefer over brute-force scanning)

Use Serena's symbol-aware tools for code navigation — they provide semantic understanding that grep/glob cannot.
The canonical, MCP-registered prefix is `mcp__serena__*` (matches `.claude/settings.json`).

- `mcp__serena__get_symbols_overview` — get top-level symbols in a file (classes, functions, variables). Use with `depth: 1` to also see methods of classes. Start here to understand a file before diving deeper.
- `mcp__serena__find_symbol` — search for a symbol by name across the codebase. Supports name-path patterns like `MyClass/my_method`. Use `include_body: true` to read source code, `include_info: true` for docstrings/signatures.
- `mcp__serena__find_referencing_symbols` — find all usages of a symbol (who calls this function? who imports this class?). Essential for understanding impact of changes.
- `mcp__serena__find_declaration` — jump to where a symbol is defined.
- `mcp__serena__find_implementations` — find implementations of an interface/abstract class.
- `mcp__serena__type_hierarchy` — understand class inheritance chains.

### Editing via Serena

For structural edits, prefer Serena's symbol-aware tools over raw text replacement:

- `mcp__serena__replace_symbol_body` — replace an entire function/class body
- `mcp__serena__insert_after_symbol` / `mcp__serena__insert_before_symbol` — add code relative to a symbol
- `mcp__serena__search_for_pattern` — regex search across the codebase (fast, flexible)
67 changes: 37 additions & 30 deletions agentic/commands/prime.md
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# Prime

> Execute the following sections to understand the codebase then summarize your understanding.
> Lightweight orientation for everyday work. For deep architecture context, use `/prime-deep`. CLAUDE.md is auto-loaded — critical rules are already in context.

## Run

```bash
# Current state: branch, uncommitted changes, stashes
git status --short --branch
git log --oneline -5
gh pr list --limit 5 2>/dev/null || echo "(gh CLI not available)"
```

# Recent activity: what's been worked on
git log --oneline --graph -15
## Serena (activate + use)

# Open PRs: what's in flight
gh pr list --limit 10 2>/dev/null || echo "(gh CLI not available)"
```
- Activate the project with `mcp__serena__activate_project` (param: `anyplot`) if not already active.
- Run `mcp__serena__check_onboarding_performed` once per session.
- Prefer Serena's symbol-aware tools over grep/glob for code navigation and edits:
- `mcp__serena__get_symbols_overview` / `mcp__serena__find_symbol` — semantic lookup
- `mcp__serena__find_referencing_symbols` — impact analysis before edits
- `mcp__serena__replace_symbol_body` / `mcp__serena__insert_after_symbol` — structural edits
- See `/prime-deep` for the full tool catalog.

## Read
## What this project is

@agentic/docs/project-guide.md
@agentic/commands/docs.md
@docs/concepts/vision.md
@pyproject.toml
**anyplot**: AI-powered platform that generates Python data-viz examples for 9 libraries (matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, highcharts, lets-plot). Spec-driven: every plot starts as a library-agnostic Markdown spec, then AI generates implementations per library.

## Serena
## Where things live

- Run `mcp__serena__check_onboarding_performed`
- Run `mcp__serena__list_memories` and read relevant ones
- `plots/{spec-id}/` — spec + per-library metadata + implementations (one dir per plot)
- `core/` — shared business logic (DB, repositories, config)
- `api/` — FastAPI backend
- `app/` — React frontend (Vite + TS + MUI)
- `agentic/` — AI workflow layer (commands in `agentic/commands/`, docs in `agentic/docs/`)
- `prompts/` — AI prompts for generation/review/tagging
- `automation/` — CI/CD helper scripts
- `.github/workflows/` — GitHub Actions pipelines

### Serena MCP tools (prefer over brute-force scanning)
Stack: Python 3.13+ (uv), PostgreSQL, GCP (Cloud Run + Cloud SQL + GCS).

Use Serena's symbol-aware tools for code navigation — they provide semantic understanding that grep/glob cannot.
The canonical, MCP-registered prefix is `mcp__serena__*` (matches `.claude/settings.json`). Older repo docs may
still mention `jet_brains_*` aliases — treat them as the same tools and prefer the `mcp__serena__*` form below.
## GitHub pipeline (don't bypass it)

- `mcp__serena__get_symbols_overview` — top-level symbols in a file (classes, functions, variables). Use `depth: 1`
to also see methods of classes. Start here before diving deeper.
- `mcp__serena__find_symbol` — search for a symbol by name across the codebase. Supports name-path patterns like
`MyClass/my_method`. Use `include_body: true` to read source code, `include_info: true` for signatures.
- `mcp__serena__find_referencing_symbols` — find all usages of a symbol (who calls this function? who imports this
class?). Essential for understanding the impact of changes.
**New spec:**
1. Create issue (descriptive title, no spec-id) + add `spec-request` label
2. `spec-create.yml` runs → opens PR
3. Add `approved` label to the **issue** (not PR) → auto-merges → `spec-ready`

### Editing via Serena
**Generate implementations:**
1. `gh workflow run bulk-generate.yml -f specification_id=<id> -f library=all`
2. Pipeline: `impl-generate` → `impl-review` → (`impl-repair` if needed) → `impl-merge`
3. **Never manually merge impl PRs** — `impl-merge.yml` handles metadata + GCS promotion

For structural edits, prefer Serena's symbol-aware tools over raw text replacement:
## Need more?

- `mcp__serena__replace_symbol_body` — replace an entire function/class body
- `mcp__serena__insert_after_symbol` / `mcp__serena__insert_before_symbol`add code relative to a symbol
- `mcp__serena__search_for_pattern` — regex search across the codebase (fast, flexible)
- `/prime-deep` — full architecture, metadata schemas, all workflows, deployment
- `agentic/docs/project-guide.md`comprehensive reference
- `docs/` — contributing, workflows, API, DB schema
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