grove-issues

name	grove-issues
description	Parse a brain dump of TODOs into properly structured GitHub issues with labels, components, and project board placement. Use when the user provides a batch of tasks, ideas, or TODOs that need to become trackable GitHub issues.

Grove Issues

Turn a brain dump into a clean issue backlog. You receive a messy list of TODOs and produce properly labeled, well-structured GitHub issues ready for the Lattice Kanban board.

When to Activate

• User provides a batch of TODOs, tasks, or ideas in a single message
• User explicitly calls /grove-issues
• User says something like "create issues for these" or "turn these into tickets"
• User pastes a list of things they want tracked

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The Pipeline

Brain Dump → Parse → Deduplicate → Create Issues → Label → Report

Step 1: Parse the Brain Dump

Break the user's message into discrete, actionable issues. Each issue should represent ONE piece of work. If a TODO is too broad, split it. If two TODOs are the same thing, merge them.

Parsing signals:

• Numbered lists → one issue per item
• Bullet points → one issue per bullet
• Paragraphs separated by newlines → one issue per paragraph
• Comma-separated items → one issue per item
• Stream-of-consciousness → use judgment to split at logical boundaries

Step 2: Check for Duplicates

Before creating any issue, search existing open issues for overlap:

gh issue list --state open --limit 100 --json number,title | jq -r '.[].title'

If a TODO matches an existing issue closely, skip it and note the existing issue number in your report. Don't create duplicates.

Step 3: Determine Labels

Each issue gets up to 3 labels:

Component Labels (pick 1-3)

Label	When to Apply
lattice	Framework, monorepo, shared infrastructure, engine package
heartwood	Auth, sessions, OAuth, identity
arbor	Admin panel, backend API, admin dashboard
amber	Images, CDN, R2 storage, JXL, media pipeline
clearing	Status page, health monitoring, uptime
shade	AI crawler protection, bot defense, rate limiting
plant	Pricing, billing, LemonSqueezy, storefront, signup
ivy	Email, Resend, notifications, messaging
foliage	Theming, design tokens, per-tenant customization
curio	Museum exhibits, content display, guestbook
meadow	Social features, community feed
forests	Forest page, community groves, property showcase
vine	Content relationships, margin notes, connections
graft	Feature flags, gradual rollout, A/B testing
petal	Content moderation, CSAM detection, PhotoDNA
lumen	AI assistant, LLM routing, AI gateway
mycelium	MCP servers, inter-service networking
patina	Backups, cold storage, data preservation
landing	Landing site, marketing pages, knowledge base

Pattern Labels (pick 0-2, in addition to component labels)

Patterns are reusable architectural solutions. Apply when the issue involves implementing or extending a pattern.

Label	When to Apply
pattern:firefly	Ephemeral server infrastructure (ignite, illuminate, fade lifecycle)
pattern:loom	Durable Objects coordination (SessionDO, TenantDO, PostDO)
pattern:prism	Glassmorphism design system, seasonal theming, UI layers
pattern:sentinel	Load testing, scale validation, ramp-up testing
pattern:songbird	Prompt injection protection (canary, kestrel, robin layers)
pattern:threshold	Rate limiting, abuse prevention, graduated response

Type Labels (pick exactly 1)

Label	When to Apply
bug	Something is broken or wrong
feature	New capability that doesn't exist yet
enhancement	Improvement to existing functionality
security	Security concern, vulnerability, hardening
documentation	Docs, guides, help articles

Priority (only if explicitly stated by user)

Don't guess priority. Only apply if the user explicitly says something is urgent, critical, or low-priority.

Step 4: Write the Issue Body

Use this template for every issue:

## Summary
[1-3 sentences describing what needs to be done and why]

## Acceptance Criteria
- [ ] [Specific, verifiable criterion]
- [ ] [Another criterion]
- [ ] [Keep to 3-6 items]

## Context
- [Relevant technical context]
- [Dependencies or related issues if known]
- [Any constraints mentioned by the user]

Writing guidelines:

• Summary should answer "what" and "why" in plain language — a non-engineer should understand the first sentence
• Acceptance criteria should be checkbox items that can be verified as done/not-done
• Context is optional but helpful — this is where technical detail (file paths, patterns, acronyms) belongs
• Keep the whole body under 20 lines. Concise beats comprehensive.
• Don't pad with boilerplate. If there's no useful context, skip that section.

Step 5: Create the Issues

gh issue create \
  --title "Title in imperative mood" \
  --body "$(cat <<'EOF'
## Summary
...

## Acceptance Criteria
- [ ] ...

## Context
- ...
EOF
)" \
  --label "component1,type1"

Title guidelines:

• Plain language first — write for the project owner scanning a board, not for the implementer
• Imperative mood: "Add X" not "Adding X" or "X should be added"
• Format: Service: what happens in plain english (e.g., "Plant: fix broken image on pricing page")
• Under 60 characters when possible
• No [FEATURE] or [BUG] prefixes (labels handle categorization)
• No jargon or acronyms that aren't Grove service names — no HMR, PKCE, DO, SSR, CSRF, etc. in titles. Spell it out or rephrase in plain language. (Technical detail belongs in the body.)
• Self-check: Read each title and ask: "Would I immediately understand this on a board with 100 other issues, without clicking into it?" If not, rewrite it.

Good vs. bad titles:

Bad (jargon-heavy)	Good (plain language)
Hybrid dev mode: HMR + service binding fidelity	Dev mode: support live reload alongside real service bindings
Thorn behavioral: finish remaining wiring	Thorn: connect remaining rate-limit and label checks
Graduate Reeds (comments) out of greenhouse	Reeds: make comments a full production feature
Implement Queen coordinator Durable Object	Queen: build the coordinator that manages background workers

Step 6: Report Back

After creating all issues, give the user a summary table:

Created X issues:

| # | Title | Labels |
|---|-------|--------|
| #531 | Add glass overlay to Forest page | forests, enhancement |
| #532 | Fix tooltip positioning on mobile | lattice, bug |
...

Skipped (duplicates of existing issues):
- "Cache purge tool" → already tracked in #527

---

Edge Cases

Vague TODOs

If a TODO is too vague to create a good issue ("fix the thing", "make it better"), ask the user for clarification rather than creating a bad issue. Group vague items and ask once.

Huge Batches (20+)

For very large batches, create issues in groups of 10 to avoid rate limiting. Pause between batches.

Mixed Priorities

If the user marks some items as urgent/first-focus vs backlog, note this in Context but don't apply priority labels unless they use explicit priority language.

Implementation Details in the Brain Dump

If the user includes HOW to do something (not just WHAT), capture those details in the Context section. The acceptance criteria should still focus on the outcome, not the approach.

---

Anti-Patterns

Don't do these:

• Don't create issues with only a title and no body
• Don't apply more than 3 component labels (if it touches everything, it's probably lattice)
• Don't guess at acceptance criteria you can't verify. "Works well" is not a criterion. "Renders correctly on mobile viewport" is.
• Don't create issues for things that are already done
• Don't pad issues with generic criteria like "code is well-documented" or "tests pass"
• Don't add priority-critical unless the user explicitly says something is critical/urgent

---

Example

User says:

ok so I need to: fix the broken image on the pricing page, add a dark mode toggle to the knowledge base, wire up the new health endpoint for blog-engine, and eventually we should think about adding RSS feeds to meadow

You create:

1. "Fix broken image on pricing page" — plant, bug
2. "Add dark mode toggle to knowledge base" — landing, enhancement
3. "Wire health endpoint for blog-engine into Clearing" — clearing, feature
4. "Add RSS feed support to Meadow" — meadow, feature

Each with proper Summary, Acceptance Criteria, and Context.

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A clean backlog is a calm mind. Turn the chaos into clarity.