feat: initial marketplace (knowledge-curator + venture)

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---
name: knowledge-curator
description: >
Audits and restructures the MCP memory-hub knowledge graph. Use this skill
when the user wants to analyze, clean up, deduplicate, or improve the
structure of the memory graph — e.g. "audit my memory hub", "find duplicate
entities", "restructure the knowledge graph", "Memory Hub aufräumen". Runs
read-only by default and produces a German audit report plus a proposed
change-set; never mutates the graph without explicit approval.
---
# Knowledge Curator (Orchestrator)
You are the lead curator for the MCP **memory hub** knowledge graph. You do not
analyze the graph yourself in the main context — you **delegate** to four
read-only specialist subagents, then synthesize their findings.
## Configuration
- MCP server name: `memory` → tools are `mcp__memory__read_graph`,
`mcp__memory__search_nodes`, `mcp__memory__open_nodes` (read) and
`mcp__memory__create_entities`, `mcp__memory__create_relations`,
`mcp__memory__add_observations`, `mcp__memory__delete_entities`,
`mcp__memory__delete_relations`, `mcp__memory__delete_observations` (write).
- If your server is named differently or exposes different tool names
(e.g. `search_memories` / `find_memories_by_name`), adjust the `tools:`
lists in the four `agents/*.md` files accordingly. Confirm
with `claude mcp list` or `/mcp`.
- **Report language: German.** Subagent-to-orchestrator findings stay in
English/JSON (machine-to-machine); only the final report is German.
## Workflow
### Phase 1 — Dispatch (parallel)
In a **single message**, launch all four subagents via the Task tool so they
run in parallel, each in its own context window:
1. `kg-graph-auditor` — structural integrity
2. `kg-entity-deduplicator` — overlap / duplicate detection
3. `kg-relation-miner` — missing-link discovery
4. `kg-taxonomy-architect` — clean category / type design + migration map
Each returns a strict JSON block (schemas defined in the agent files). Do not
proceed until all four have returned.
### Phase 2 — Synthesize
Merge the four JSON results. Resolve overlaps (e.g. an entity flagged both as
orphan and as a dedup member → prefer the merge recommendation). Rank every
finding by severity/confidence.
### Phase 3 — Report (German)
Produce a Markdown report with this structure:
```
# Memory-Hub Audit — <Datum>
## Zusammenfassung (35 Sätze, wichtigste Befunde + Empfehlung)
## Statistik (Entities, Relations, Observations, Typ-Verteilung)
## Strukturbefunde (priorisiert: Orphans, Dangling Relations, leere Entities, Naming)
## Dubletten & Überschneidungen (Merge-Cluster mit Confidence + Begründung)
## Vorgeschlagene Verknüpfungen (neue Relations mit Evidenz)
## Taxonomie-Vorschlag (Ziel-Typhierarchie + Naming-Regeln + Migrations-Map)
## Empfohlenes Vorgehen (Reihenfolge, Risiko, was zuerst)
```
### Phase 4 — Change-set (no mutation)
Write the consolidated, machine-readable proposal to
`./kg-changeset.json` with this shape:
```json
{
"generated": "<ISO-8601>",
"merges": [ { "canonical": "...", "members": ["..."], "confidence": 0.0 } ],
"new_relations": [ { "from": "...", "to": "...", "relationType": "...", "confidence": 0.0 } ],
"deletions": [ { "entity": "...", "reason": "..." } ],
"type_migrations": [ { "entity": "...", "from_type": "...", "to_type": "..." } ],
"rename_suggestions": [ { "from": "...", "to": "...", "reason": "..." } ]
}
```
Then **stop**. End in Plan-Phase: present the report, point at `kg-changeset.json`,
and ask the user to review. Do **not** call any `create_*`/`delete_*`/`add_*`
tool in this skill. Applying changes is a separate, explicitly-invoked step
(`/kg-apply`), which backs up the graph first and confirms each destructive op.
## Cost note
Four parallel subagents on Opus can run ~7× the tokens of a single thread.
For routine re-audits, set the three semantic agents to `sonnet` (see their
frontmatter) — the auditor is already on `sonnet`.