Grounding / assumption-check: pull deeper context from the knowledge layer (wicked-estate memory + knowledge) and the bus when uncertain, before acting. Use when: getting mixed signals from the codebase, about to commit to a non-obvious decision, prior decisions might exist for this exact problem, or you want to verify an assumption before action ("am I sure about this?", "have we decided this before?"). Returns relevant memories, knowledge chunks, recent bus events, and linked priors ranked by relevance — not a wall of text. Aliases: grounding, sanity-check, verify-assumption. NOT for: routine "what does this code do" questions (use Read or Grep), broad codebase exploration (use your harness's exploration agent, or search inline), or fetching specific symbols (use the wicked-estate MCP SearchEntity tool directly).
Install
npx skillscat add mikeparcewski/wicked-garden/wicked-garden-ground Install via the SkillsCat registry.
wicked-garden:ground — Steer Yourself
You are uncertain. Pull what's known into focus.
When to use
- Getting mixed signals from the codebase — two things contradict each other
- About to commit to a non-obvious decision — want to know if it's been tried before
- Prior decisions might exist for this exact problem — avoid re-deriving what was deliberated
- Want to verify an assumption before taking action — gut feel needs grounding
- Picking back up on a topic after context has shifted — "let me get my bearings"
- Asking "wait, did we already decide this?" — stored memory is the answer
When NOT to use
- Routine "what does this code do" questions — use Read or Grep, they're faster
- Broad codebase exploration without a specific question — use your harness's exploration agent (or search inline)
- Fetching a specific symbol you already know exists — use the estate MCP
SearchEntitytool directly - During flow when you already have enough context — don't interrupt to re-ground
Mechanism
- Take the
questionargument (free text from the user / Claude's internal state) - Parallel query — run both simultaneously:
wicked-garden-memrecall — memories + knowledge (decisions, patterns,
gotchas; estate fuses both stores, results carry source attribution)wicked-bus:query— recent bus events matching the question (last 50, filter by
relevance to question terms)
- Synthesize — rank by relevance, dedupe overlap, cap at top 5–10 signals total.
Priority order: memories > knowledge chunks > bus events. - Output — dense, structured. For each hit:
- Source type:
memory,knowledge, orbus/event - One-line relevance statement (why this signal matters to the question)
- Source attribution / scope / event-id for follow-up
- Suggested follow-up (e.g., Read the cited source file)
- Source type:
- Closing pointer: "If you need more depth, open
{most relevant cited source}with Read, or runwicked-garden-memanswer for a cited synthesis." - DO NOT dump full file content — this is a focusing tool, not a firehose.
The output should be skimmable in under 30 seconds.
Implementation
When invoked with a question:
Step 1 — Decompose the question into 3–5 search terms. Extract noun phrases,
named entities, and technical terms. Example: "v8 daemon projection model" →["daemon", "projection", "v8 architecture", "state machine"].
Step 2 — Execution. Run these, in parallel where your harness allows:
Hand-off — open the wicked-garden-mem skill and run its recall action once per term ({term1}, {term2}, …); on Claude Code this is the Skill tool, on any other seat open the named skill from your catalog and carry it out inline, then continue here.
Hand-off — for recent bus events, run the wicked-bus plugin's query skill with query="{question}", limit=50 when the bus plugin is installed on your seat; skip it otherwise.
Step 3 — Rank and dedupe. Collect all results. Score by:
- Source priority (memory > knowledge chunk > bus event)
- Recency for bus events (newer = higher)
- Overlap with question terms (more term matches = higher)
Keep the top 5–10 unique signals. Drop results where two sources say the same
thing — keep the higher-priority source.
Step 4 — Format output. Use this shape:
## Grounding: {question}
### What the record knows
1. [memory] {one-line relevance} — scope `{scope}`
2. [knowledge] {one-line relevance} — `{source attribution}`
3. [knowledge] {one-line relevance} — `{source attribution}`
### Recent bus activity
4. [bus/event] {event_type} @ {timestamp} — {one-line relevance}
5. [bus/event] {event_type} @ {timestamp} — {one-line relevance}
### If you need more depth
Read `{most relevant cited source}`, or `wicked-garden-mem` answer "{question}"Step 5 — If zero results from both the knowledge layer and bus, say so explicitly:
"No prior decisions or recent events found for this question. Proceeding without
grounding — consider storing the decision you reach with wicked-garden-mem (store action)."
Graceful degradation
- Knowledge layer unavailable → skip recall steps, surface bus events only, note degradation
- Bus unavailable → skip bus step, surface knowledge-layer results only, note degradation
- Both unavailable → emit: "Ground returned no context (knowledge layer and bus both
unreachable). Proceeding on codebase signals only."
Never block progress. Ground is a focusing tool — absence of prior context is
itself a useful signal.
After grounding
If you reach a decision that others should know about:
- Store it:
wicked-garden-mem(store action) - Emit it:
wicked-bus:emitwith the relevant event type
The value of grounding compounds when decisions are written back.